The “Zero Complexity API Testing” is a three-part blog series that highlights the vital importance of API testing, breaks down barriers with AI, and unlocks new possibilities in the future of API Testing.
We all have questions about API testing automation. Some of the basics, like “What is API testing process?” or “Can you QA test on APIs?” are readily available off the internet. This blog series dives much deeper into the nuances of API testing with the help of a real-life scenario.
In Zero Complexity API Testing—Part I, we covered the critical role of API testing and the challenges faced by UI testers moving to API testing. We saw how Emily, a lead tester at a rapidly growing e-commerce company, faced an API glitch that caused frustration and confusion among the customers. In spite of knowing what the API testing process is, Emily chose to make it an optional process, leading to a panic situation.
In Part II (this blog), we’ll discuss how Emily’s team could have avoided the above situation with Qyrus’ codeless testing capabilities for APIs. We’ll discuss how Qyrus simplifies the creation and execution of API tests, making them accessible to non-technical testers.
The blog also covers AI in API testing and Qyrus’ support for codeless assertions, API specification imports, data-driven testing, API chaining, and AI-assisted assertions. Additionally, it mentions Qyrus’ ability to perform performance testing with massive loads.
Overall, the blog emphasizes how Qyrus empowers teams to efficiently test their APIs, ensuring their functionality, reliability, and performance.
Let’s examine how Emily could have used Qyrus, an API testing tool, to overcome her team’s challenges.
Codeless Testing for APIs
One of the standout features of Qyrus is its ability to enable codeless testing for APIs. This feature allowed Emily’s team to create and execute API tests without writing a single line of code. The intuitive interface meant that even the most non-technical testers could quickly get up to speed. This democratized API testing, making it accessible to everyone on her team.
With Qyrus, setting up an API test is as simple as selecting the API endpoint, specifying the request parameters, and defining the expected response. This simplicity ensures that Emily’s team can quickly create comprehensive test cases without getting bogged down in technical details.
Codeless Assertions
Adding assertions for headers, body, JSON Path, and schema was as simple as clicking a few buttons. This ensured that the API responses met the expected criteria without the need for complex scripts. Emily’s team could easily verify that the APIs were returning the correct data and behaving as expected, significantly improving test coverage and reliability.
Qyrus provides a user-friendly interface for defining assertions. Testers can specify expected values for headers and response bodies, check JSON Path expressions, and validate response schemas. The platform also supports complex assertions, such as verifying nested JSON structures and checking for the presence of specific keys and values.
Importing API Specifications
Qyrus supports importing API specifications through OpenAPI Spec/Swagger doc, Postman Collection, or manual entry. This flexibility allowed Emily’s team to get started with their existing API documentation quickly. They could import API specs effortlessly and begin testing immediately, saving valuable time and effort.
By importing API specifications, Qyrus automatically generates test cases for each endpoint, complete with sample requests and expected responses. This automation accelerates the test creation process and ensures that all endpoints are thoroughly tested.
Data-Driven API Testing
Qyrus enabled data-driven testing, allowing her team to use external data sources to drive API tests. This ensured that APIs were tested under various conditions, improving overall test coverage. Emily’s team could simulate different scenarios and data inputs, ensuring the robustness of their APIs.
With data-driven testing, Qyrus allows testers to define test data sets in CSV or JSON format and link them to API test cases. This enables comprehensive testing with multiple data variations, such as different user profiles, transaction amounts, and order details.
API Chaining and Data Plumbing
Qyrus allowed the team to chain APIs together, passing data from one API to another. For instance, a JSON Path value from one API could be used as a header in the following API. This capability simulated real-world API interactions and workflows, enhancing the robustness of their tests. Emily’s team could test complex API interactions seamlessly, ensuring their system worked end-to-end flawlessly.
API chaining in Qyrus enables testers to create end-to-end test scenarios that mirror real-world usage. For example, a test case might involve creating a new user account, adding items to a shopping cart, and processing a payment—all within a single, cohesive test.
Beyond Functional Testing – The AI and Performance Edge with Qyrus
AI-Assisted Assertions
One of the most powerful features of Qyrus is its AI-assisted assertions. The AI model in Qyrus analyzed API responses and suggested appropriate assertions, speeding up the test creation process and ensuring comprehensive coverage. This was a game changer for Emily’s team, who could now focus on more critical testing tasks while the AI handled the mundane, repetitive aspects of test creation.
Qyrus’s AI engine leverages machine learning algorithms to analyze API responses and identify key data points. It then suggests assertions based on common patterns and expected values, reducing the time and effort required to create comprehensive test cases. This intelligent automation ensures that no critical validation is overlooked.
Performance Testing with Massive Loads
With Qyrus, Emily’s team could run performance tests on the same APIs without any changes. The cloud-based infrastructure of Qyrus leveraged the elasticity of the cloud to run performance tests with massive loads, ensuring that APIs could handle high traffic. This feature allowed Emily’s team to ensure that their APIs were not only functional but also scalable and performant under heavy loads.
Qyrus supports performance testing by simulating thousands of concurrent users and generating high volumes of requests. Testers can define performance criteria, such as response time thresholds and error rates, and monitor the API’s performance under different load conditions. Qyrus provides detailed performance reports, highlighting any bottlenecks and areas for improvement.
Support for Multiple API Types
Qyrus supports GraphQL, REST, and SOAP APIs, with Kafka support coming soon. This broad compatibility meant that Qyrus could be used across different projects and technology stacks within Emily’s company. Regardless of the API technology they used, Qyrus provided a unified platform for testing.
Qyrus’s multi-protocol support ensures that testers can seamlessly switch between different API types without learning new tools or workflows. Regardless of the underlying API technology, the platform’s consistent interface and feature set simplify the testing process.
Qyrus’ API Discovery Chrome Plugin
Qyrus’ API Discovery Chrome plugin was a revelation. It helped Emily’s team extract relevant APIs from their web application, generate assertions, and export them as test suites in Qyrus API testing. This feature turned manual web testing into a source of automated API tests, significantly improving test coverage and efficiency.
The API Discovery plugin integrates directly with the Chrome browser, allowing testers to capture API calls made by the web application during manual testing sessions. Based on the captured data, the plugin automatically generates test cases and assertions, streamlining the transition from manual to automated testing.
Sneak Peek into Part III: Future of API Testing – Unlocking New Possibilities
Now that Emily’s team has transformed its API testing approach with Qyrus, it can focus on the overall quality of its e-commerce platform.
By leveraging AI-assisted assertions and advanced features, Qyrus empowered them to achieve more in less time. With enhanced test coverage, scalable performance testing, and efficient test maintenance, Qyrus unlocked new possibilities for Emily’s team.
Stay tuned for Part III, where we talk about the future of API testing and uncover new possibilities in the testing space. Try the Freemium version now to experience the power of fast and insightful API automation testing!
Traditional manual testing methods are time-consuming and prone to human error. To address these challenges, automation testing has emerged as a vital component of modern development pipelines. By automating repetitive test cases, teams can significantly accelerate their development cycles, improve product quality, and reduce the risk of costly defects.
What is CI/CD?
Continuous Integration (CI) and Continuous Delivery (CD) CI/CD pipelines have become the cornerstone of modern software development practices. CI involves frequently integrating code changes into a shared repository, followed by automated builds and tests. CD extends this process by automatically deploying tested code to production environments. CI/CD pipelines enable teams to deliver software updates more rapidly and reliably by streamlining the development and deployment process.
Automation Testing Tools for CI/CD
As mobile app development becomes increasingly complex, integrating robust testing tools into your CI/CD pipeline is crucial. It is essential for ensuring the quality and reliability of your software. By automating test cases, you can significantly improve efficiency, reduce risks, and accelerate your development process.
One of the best testing tools for CI/CD is Qyrus. It offers seamless integration capabilities that can enhance your existing workflow and improve your app quality. Let’s explore how to effectively integrate Qyrus into your mobile CI/CD pipeline.
Version Control Integration
Qyrus supports integration with popular version control systems, allowing your test scripts to evolve alongside your application code:
While Qyrus doesn’t mention specific CI server integrations, its robust API support allows for easy integration with popular CI tools like Jenkins, GitLab CI, or CircleCI. You can trigger Qyrus test executions as part of your CI pipeline, ensuring that every code change is thoroughly tested.
Test Management Tool Integration
Xray Integration
Configuration:
Set up Xray client ID and secret
Connect to Jira configuration
Select Jira projects
Usage:
Link Qyrus scripts to Xray issues
Execute tests and automatically update Xray with results
Want to know how Qyrus can make your testing more efficient with Xray Integration? Click here
TestRail Integration
Configuration:
Provide TestRail account details
Select TestRail and Qyrus projects to link
Usage:
Link Qyrus test cases to TestRail test runs
Automatically update TestRail with execution results
Support for relinking test suites to different TestRail runs
Version Control: Keep test scripts synchronized with application code
Continuous Integration: Trigger Qyrus tests automatically on code changes
Test Management: Maintain traceability from requirements to test results
Collaboration: Keep the team informed with real-time notifications
This integrated approach enables:
Faster feedback loops
Improved collaboration between development and QA teams
More efficient development cycles
Higher overall app quality
Remember to regularly review and update your integration configurations to ensure they continue to meet your team’s evolving needs. With Qyrus‘ flexible integration options, you can create a tailored CI/CD pipeline that optimizes your mobile app development process.
As a tester, you play a crucial role in delivering high-quality mobile apps. However, ensuring top-notch quality for mobile apps requires efficient and reliable development processes. Continuous Integration and Continuous Delivery (CI/CD) pipelines play a crucial role in automating the processes, ensuring faster time-to-market and improved product quality.
Automation testing is a key component of CI/CD pipelines, automating the execution of test cases to identify defects early in the development cycle. However, testing mobile apps presents unique challenges due to factors such as device fragmentation, platform variations, complex user interactions, frequent updates and releases, limited resources, and manual testing overheads.
By leveraging automation testing platforms such as Qyrus, developers and QA teams can significantly improve their efficiency, productivity, and the overall quality of mobile applications.
Below is a CI/CD guide on how to get started with Qyrus. This blog covers how the platform’s advanced features can help you streamline your mobile CI/CD process.
Getting Started with Qyrus
Setting up your mobile CI/CD pipeline in Qyrus is straightforward:
Team Setup: Create a team of users with access to your test projects. A team lead typically does this once, ensuring proper access control.
Project Setup: Organize your test suites and configurations within a project. To create a project:
Click on the “New Project” button
Provide a name, description, and select the device type (Android or iOS)
Click “Create Project”
App Upload: Easily upload your Android (APK) or iOS (IPA) applications for testing. You can do this right after project creation or later in the “Setup” tab under “Application Management”.
Suite Setup: Group related test scripts together in suites. You can create suites manually or use AI-assisted creation:
For manual creation, click “Create Suite Manually” and provide a name and module description
For AI-assisted creation, use JIRA tickets or custom descriptions to generate test scenarios
Script Setup: Create individual test scripts to automate your app testing. Qyrus offers multiple ways to create scripts:
Manual creation using the Live Test feature
AI-assisted creation from JIRA tickets or custom descriptions
Import from JSON or CSV files
Import from Rover* (Qyrus’ Exploratory AI tester)
Key Features for Mobile CI/CD
Qyrus offers several features that enhance your CI/CD (mobile) workflow:
Live Testing: Connect and interact with a real device while building your test scripts. This feature allows you to:
Select a device from your device pool
Choose between “Install App” or “Launch App” configurations
Interact with the device in real-time to create accurate test steps
Record Mode: Capture your actions on the device and automatically convert them into test steps. This mode supports:
Taps, long presses, and swipes
Text input and verification
Navigation actions like “Go Back” and “Press Home”
Inspect Mode: Easily find locator types and values to create accurate test steps. This mode allows you to:
Click on elements to populate locator information automatically
Change locator types on the fly
Verify elements before adding them to your test script
Parameterization: Use data-driven testing to cover multiple scenarios efficiently. You can:
Upload Excel sheets with test data
Use variables in your test steps
Run the same script with multiple data sets
API Testing: Incorporate API calls directly into your test scripts for end-to-end testing. Supported methods include:
GET, POST, PUT, and DELETE
Query parameters, headers, and request body customization
Response data extraction for use in subsequent steps
Execution and Reporting
Qyrus provides flexible execution options:
Single script execution: Run individual scripts for targeted testing
Multiple script execution: Select and run multiple scripts simultaneously
Suite execution: Execute all scripts within a suite
Dry runs: Validate scripts without affecting overall test reports
Execution configuration options include:
Selecting single devices or device pools
Choosing between “First Available” or “Device Coverage” execution strategies
Setting up scheduled runs (one-time, weekly, daily, or hourly)
After execution, detailed reports help you quickly identify and address any issues in your app. The reporting features include:
Healer: An AI tool that helps find new locators for failed steps, reducing maintenance efforts.
Device Pool Management: Create logical groups of devices for comprehensive testing coverage.
By leveraging Qyrus’ features, teams can significantly accelerate their mobile CI/CD process, leading to faster development cycles and higher-quality apps. Whether you’re new to mobile CI/CD or looking to optimize your existing process, Qyrus provides the tools and flexibility to meet your needs. Try our free trial now and see for yourself!
Case Study: A leading bank in the UK achieved significant reductions in testing time and increased test case throughput with Qyrus, leading to operational efficiencies and cost savings.
Introduction: Empowering Teams with API Testing
Software applications are intricately interconnected these days, making the reliability and performance of APIs paramount. A single API glitch can disrupt an entire ecosystem, leading to financial losses, customer dissatisfaction, and reputational damage. On top of it, traditional API testing methods are time-consuming, complex, and error-prone.
To avoid such pitfalls, organizations are increasingly turning to API test services and end-to-end API testing tools. By ensuring API readiness, businesses can mitigate risks, streamline development processes, and deliver exceptional user experiences with innovative testing platforms like Qyrus.
The “Zero Complexity API Testing” is a 3-part blog series. This series highlights the vital importance of API testing, breaking down barriers with AI, and unlocking new possibilities in the future of API Testing.
Part I:From Buggy Deployments to Seamless Operations – The Critical Role of API Testing
It explores real-world scenarios where API failures can lead to significant consequences, such as lost revenue, customer dissatisfaction, and reputational damage. It focuses on the importance of API testing and the struggles that UI teams face due to various challenges.
Part II: Breaking Down Barriers with Qyrus
This part talks about how, by implementing Qyrus’ robust API testing strategies, organizations can proactively identify and address issues before they impact production environments. It talks about Qyrus AI capabilities and how one can go beyond functional testing with Qyrus and AI.
Part III: Future of API Testing – Unlocking New Possibilities
It focuses on unlocking new possibilities with Qyrus API testing. How a well-strategized API testing journey can lead to new growth opportunities in an organization and deliver high-quality software
This blog also introduces Qyrus, a powerful end-to-end API testing platform designed to simplify and streamline API testing. Qyrus addresses the common challenges faced by testing teams, including technical complexity, time-consuming setups, and maintaining test cases. Through its innovative GenAI features, Qyrus empowers teams to effectively test their APIs, ensuring high-quality, reliable software and API readiness.
Part I: From Buggy Deployments to Seamless Operations – The Critical Role of API Testing
According to a study by Rapid API, more than 90% of executives indicated APIs as mission-critical. When APIs become crucial to a company’s operations, it is essential to prioritize comprehensive and effective end-to-end API testing.
Let’s look at the situation below, which could have been avoided if the company had opted for API test services.
A Critical Bug Discovered in Production
Meet Emily, a lead tester at a rapidly growing e-commerce company. Her team is responsible for ensuring that the website runs smoothly, from browsing products to making secure payments. The stakes are high: even a minor glitch can lead to lost sales and frustrated customers.
Recently, a critical bug slipped into production. Customers reporting that their orders were duplicated, causing confusion and frustration. Upon investigation, Emily’s team discovered that the root cause was a failure in the API responsible for processing payments. This API, which communicated with the payment gateway, was intermittently timing out and causing duplicate requests to be sent.
Had Emily’s team implemented thorough API testing, this bug could have been caught early. The incident was a wake-up call—API testing was not just an option; it was essential.
Below is why API Testing is critical.
Ensures Functionality: Validates that the API performs as expected and handles requests correctly.
Improves Reliability: Detects issues early in the development cycle, reducing the risk of failures in production.
Enhances Security: Identifies vulnerabilities that could be exploited by malicious actors.
Boosts Performance: Ensures that APIs can handle expected loads and provide optimal performance.
Challenges Faced by UI Testers Moving to API Testing
Despite its importance, many teams struggle with API testing due to various challenges, particularly those coming from a UI testing background:
Technical Complexity: Traditional API testing tools often require advanced coding skills, which can be a barrier for testers without a strong programming background. The technical nature of traditional tools can also limit API testing to a small group of specialized testers, hindering collaboration and knowledge sharing within teams.
Time-Consuming Setup: Setting up API tests often involves the manual configuration of numerous parameters, such as endpoints, headers, and payloads. This can be labor-intensive and time-consuming, detracting from other critical tasks.
Maintaining Test Cases: As APIs evolve, keeping test cases up-to-date can be daunting. Managing multiple versions of test cases can be difficult, especially in large-scale projects, leading to confusion and inconsistencies.
Integration with Other Tools: Integrating API testing tools with other tools in the testing ecosystem, such as test management platforms or continuous integration/continuous delivery (CI/CD) pipelines, can be challenging due to compatibility issues or proprietary formats. Data synchronization between API testing tools and other tools can be complex, especially when dealing with large datasets. These integration challenges can disrupt the smooth flow of the testing process, leading to inefficiencies and delays.
Emily knew she had to address this gap. APIs were the backbone of their platform, enabling communication between different systems and services. Without robust API testing, the integrity of their entire system was at risk. However, her team needed a solution that was easy to use, required minimal coding, and integrated seamlessly with their existing workflows. They needed Qyrus.
Sneak Peek into the Part II: Breaking Down Barriers with Qyrus
Emily has discovered Qyrus, a SaaS product designed to simplify API testing. Qyrus’ API test services offer a suite of features that address all the challenges her team faced, making API testing accessible and efficient for her team. In the next part, we’ll explore how Qyrus revolutionizes the API testing process with its innovative features, making it more accessible and efficient for all users.
Some of the features we’ll cover in the next blog are codeless testing of APIs, codeless assertions, data-driven testing, API chaining and data plumbing. Stay tuned for the next part!Try the Freemium version now to experience the power of fast and insightful API automation testing!
Making informed investment decisions is critical for business success. But how can you truly understand the impact of a new solution without trying it?Look no further than The Total Economic Impact™ of Qyrus.
“There were a lot of test platforms out there that do mobile or web or API testing. The beauty of Qyrus is that you can build a scenario and string add-in components of all three to create an end-to-end scenario. That is what we found to be most impressive in Qyrus.” – CTO, A Digital Bank Headquartered in the UK.
This independent Forrester research provides a comprehensive analysis of the potential return on investment (ROI) you can achieve with Qyrus. The Forrester TEI report leverages real-world customer data and Forrester’s proven methodology to uncover the following:
The Forrester TEI report for Qyrus delves deeper into specific benefits you can expect, including:
Pain points and opportunities that led the customers to invest in Qyrus.
Measurable productivity gains driven by automation and streamlined workflows.
Tangible revenue growth opportunities unlocked by improved decision-making.
Quantifiable cost savings achieved through increased efficiency and reduced errors.
Unquantifiable benefits like team collaboration, solution integration capabilities, and organizational agility accomplished and identified with automation.
Faster time-to-market through streamlined processes and improved workflows.
Enhanced user productivity by reducing production errors.
Increased customer satisfaction by delivering accelerated feature release and market response.
Ready to unlock Qyrus’ true potential? Download your free copy of the Forrester TEI report and discover the quantifiable impact it can have on your business. Simply fill out the form below and get immediate access to this valuable resource.
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API adoption and integration have continuously increased in the IT industry to support growing business demands. Today, hundreds of APIs (application programming interfaces) support various dynamic product categories, from payments and social media to e-commerce.
According to a McKinsey survey, nearly 80% of people believe APIs are crucial for business and IT operations. This highlights how API and web services testing strategies have become in driving innovation and efficiency across various sectors.
APIs are everywhere, as developers create them as a connecting link between shortcodes to build secure and scalable software applications. However, for each use case, the API must follow specific standards to ensure seamless communication, so teams follow a well-defined API lifecycle to create, test, and deploy APIs. Web services and API testing is a critical component of the API lifecycle, ensuring that these digital connections function as intended. Let us look at what happens during API discovery and testing.
API Discovery with Qyrus While testing APIs has become more streamlined, uncovering the complexities of APIs powering a web application and their interactions remains a time-consuming and manual task. This is where Qyrus offers a more efficient approach. Introducing the API Discovery extension, your one-stop shop for effortlessly discovering APIs within your Chrome browser. This ingenious tool seamlessly integrates with your developer tools, transforming into your personal AI assistant on the API exploration journey. Qyrus’ API Discovery empowers you to visit your web application and record all relevant API calls for your business needs. It revolutionizes API and web services testing by automating the discovery of critical API calls. No more digging through irrelevant analytics or user monitoring calls. Our AI capabilities elevate the experience further by providing explanations for each API call, a game-changer for QA engineers who often spend precious time deciphering cryptic documentation.
API Discovery goes beyond mere recording. It goes deeper by mapping the API landscape and uncovering the hidden relationships between APIs. Think of it as a cartographer meticulously charting an unknown territory. It reveals how APIs interact, for instance, how a user access token might be used across all APIs following a user authentication call. This visualization of the API process provides invaluable insight into the application’s overall functionality.
Seamless Integration for Effortless Testing The API Discovery lies in its seamless integration with the Qyrus API Testing service. All recorded API calls and their dependencies can be exported directly as cloud-based API tests, ensuring they’re readily available for future use. This eliminates the tedious task of manual test creation, saving you valuable time and resources.
Consider an application where a tester diligently tests your application flow. In the background, API Discovery silently records all the relevant APIs. Once finished, with a few clicks, you can export these recorded APIs as automated tests within the Qyrus platform. It’s like testing on autopilot, maximizing efficiency and minimizing effort.
Maximizing Efficiency API Discovery’s functionality extends further. It works seamlessly alongside the Qyrus Encapsulate extension, allowing you to record regression tests while simultaneously capturing relevant APIs.
We understand the importance of thorough testing. That’s why API Discovery goes beyond recording. It empowers you to generate assertions – the cornerstones of robust API testing. Assertions allow you to “battle-test” your APIs, ensuring the responses meet pre-defined values or checks for specific elements within the response.
Creating assertions can be a time-consuming task. Here’s where our innovative Generative AI steps in. This cutting-edge technology helps you generate assertions automatically, freeing you from tedious manual work and allowing you to focus on more strategic aspects of testing.
Role of API testing Once the APIs are discoverable, the process of validating the use case logic and its capability to provide reliability and test other aspects of the application is equally important. API Testing’s primary purpose is to help teams catch issues before they reach production and impact users. There are multiple ways on how a developer chooses to test an API-
Functional Testing: Validates that the API can perform its defined functions accurately and reliably.
Unit Testing: Focuses on individual components of an API, ensuring each function works as intended.
Integration Testing: Ensures that different systems or components work together correctly and seamlessly.
Performance Testing: Used to evaluate how quickly and efficiently an API can respond to requests to ensure optimal performance.
Load Testing: Assesses how the API behaves under heavy load to ensure it can handle high traffic volumes.
Stress Testing: Pushes the API beyond average capacity to see how it manages extreme conditions and high stress.
Security Testing: Testing an API to ensure it correctly handles encrypted communication and user authentication.
Fuzz Testing: Provides unexpected inputs to uncover bugs and vulnerabilities, ensuring robust error management.
Integrating Qyrus’ API Discovery into Web Testing Practices Qyrus provides comprehensively advanced API testing solutions. Our platform supports various testing types—from functional to performance and end-to-end tests. Users can seamlessly import Postman collections or OpenAPI specs, simplifying test setup and management. The platform’s intuitive interface allows for the easy creation of complex API workflows, ensuring comprehensive test coverage.
Moreover, Qyrus offers a groundbreaking feature, the Qyrus API Discovery plugin. This Chrome extension integrates directly into your web testing environment, providing contextual API testing capabilities. By aligning API testing with functional testing workflows, API Discovery enhances efficiency and reduces workflow disruptions. It empowers developers and functional testers to actively participate in API testing, leveraging your contextual knowledge to drive better testing outcomes.
Here’s a detailed look at how the API Discovery tool transforms the API testing landscape.
Domain-Specific Control Qyrus allows testers to specify which domains to include or exclude, providing complete control over the scope of testing. For instance, if your functionality depends on external sites not running on the same domain, you can easily add those to the testing environment. This ensures that only relevant data and interactions are considered, streamlining the testing process and reducing unnecessary noise.
Automated Test Generation Once the domains are set, Qyrus can quickly generate tests by analyzing the API calls made during functional testing. For example, when authenticating, Qyrus captures the headers, payload, and response, allowing you to generate assertions and dependencies automatically. This functionality is particularly useful for complex API interactions, as Qyrus can map out dependencies between multiple API calls, providing a clear understanding of the data flow and interactions.
Comprehensive Assertions Assertions in Qyrus are cordless and can be generated directly from the captured data. Schema validation and JSON path assertions are built-in, ensuring the response conforms to expected formats and values. This level of detail is often time-consuming to implement manually, but with Qyrus, it becomes a quick and automated process. For example, if you are testing a financial application, you can easily assert that account summaries return the correct balance for each account.
Seamless Integration with Qyrus Qyrus seamlessly integrates with your API interface, allowing you to export and execute tests within minutes. By logging into Qyrus, you can select the relevant project and test suites, and the tool will automatically populate the necessary data and assertions. This integration ensures that the testing process is both fast and efficient, significantly reducing the time from test creation to execution.
Handling Failures and Customization Qyrus API tool provides detailed reports and allows you to quickly identify and resolve failures. For instance, if a date assertion fails due to a time mismatch, you can easily modify or remove the assertion and re-run the test. This flexibility ensures that you can fine-tune your tests to match the dynamic nature of your applications.
Benefits of Using Qyrus
Fast Setup: Even with no prior knowledge of the APIs, you can start testing immediately by capturing calls during functional testing.
High Coverage: API testing inherently provides high coverage; with Qyrus, you achieve this with minimal setup.
Reduced Manual Effort: Automated assertions and test generation minimize the need for manual coding and reduce potential errors.
Seamless Integration: The Qyrus API tool directly integrates for centralized reporting and orchestration, extending its benefits to performance testing and beyond.
How It Works: From Recording to Testing Imagine you’re performing functional testing on a web application. With our Chrome extension enabled, every API call made during your testing session is automatically recorded and presented in a human-readable format. This critical contextualization bridges the gap between functional testing activities and the need to validate APIs that power these applications. Once the API calls are captured, testers can filter out irrelevant calls or domains, focusing solely on the APIs that impact the application’s functionality. This selective approach ensures that the generated API tests are precise and targeted, saving time and effort in creating comprehensive test scenarios.
Empowering Testers with AI-Driven Automation At the heart of our solution lies our AI-driven testing platform. Integrated seamlessly with the Chrome extension, Qyrus analyzes the captured API interactions and automatically generates test scenarios and assertions. This automation feature not only accelerates the API testing lifecycle but also enhances test coverage by including schema validations, JSON path assertions, and header validations.
Also, Qyrus provides advanced features such as dependency analysis between APIs. This capability
allows testers to visualize and understand the relationships and dependencies among different API calls, optimizing test coverage and ensuring thorough validation of critical paths.
Seamless Integration and Execution with Qyrus Once the tests and assertions are generated, testers can export them directly into the Qyrus application. This integration further helps in the centralized management of API tests within Qyrus, where testers can organize tests into projects and test suites for structured execution and reporting. Qyrus provides detailed test reports that highlight both successful validations and any failures encountered, empowering testers to identify and resolve issues seamlessly.
“Looking ahead, we are expanding these capabilities to include mobile applications. This extension will enable testers to achieve similar levels of integration and automation across different platforms, ensuring consistent and reliable API testing practices regardless of the application’s environment“- Ameet Deshpande AVP, Product Engineering @Qyrus.
To gain a deeper understanding of the capabilities of Qyrus API tools, watch this webinar, in which Ameet provides a comprehensive walk-through of the application and its features.
API Management tools can help you streamline the entire API lifecycle. It is important to choose the right tool based on your needs. Choose Qyrus, a flexible API management platform that lets you incorporate the tools of your choice but manage them centrally. By building a systematic API discovery practice, organizations can foster innovation and streamline development processes.
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Tailored for developers, administrators, and product managers who demand more from their tools, this model offers an array of sophisticated features designed to streamline your workflow and elevate your API projects to new heights. By providing a robust framework for developers to interact with various software components, QAPi Pro allows businesses to create custom solutions tailored to their specific needs.
Our premium model provides access to enhanced functionalities such as automated testing, detailed analytics, and seamless integrations with other tools in your tech stack. This ensures that you not only create and manage APIs with ease but also maintain their performance and reliability at the highest standards. The premium model is about empowering your team to work smarter, not harder, by providing the resources needed to handle complex API requirements effortlessly.
Discover how our premium model can enhance your productivity and ensure the reliability of your applications; you can create API solutions that support your team’s growth.
Note: Follow the same steps as the Import URL. Use Nova AI for generating test cases.
Option 3: Using WSDL Format Step 1: Navigate to the Add API button and select “WSDL” if your API utilizes the WSDL format.
Step 2: Enter the WSDL URL:
Add the URL of your WSDL file. Consider using a sample WSDL URL for a practical example or to familiarize yourself with the procedure.
Step 3: Initiate Import by Clicking ‘Continue’: Modifying API
Select an API: The main screen will display all its intricate details under the ‘Details’ tab. Here, you can modify the API to fit your exact needs.
API Name and Type: Users can view the API’s name and select its type (REST, SOAP) to ensure proper handling within the platform.
Method Selection: Users can designate the appropriate method (GET, POST, PUT, DELETE, PATCH) based on the desired action the API should perform, thereby defining its interaction with the server.
Timeout Setting: Users have the option to set a timeout in milliseconds.
Protocol Configuration: The platform facilitates toggling between HTTP and HTTPS protocols, allowing users to secure API calls by opting for HTTPS where applicable.
Endpoint and Context Path: In this section, users can modify the API’s endpoint URL and specify the context path, which is essential for accurately directing API calls.
Authorization Type: Users can select the authorization type that aligns with the API’s security requirements, ensuring secure interactions, whether it involves Basic Auth or OAuth. The authorization will be generated when you save the API.
In the Headers and Params tab, users can add, delete, and modify both the key and value, as well as the type of each parameter. This functionality allows for precise customization and configuration of API requests, ensuring accurate and effective testing.
Within the Body tab, users encounter an array of options for inputting data. They can choose to enter the code directly or upload a file.
In the code type for WSDL, the system shows the XML code type.
On the Test Cases tab, users are presented with options to define test cases for headers assertions, and the body of the API request or response. This functionality allows for thorough testing and validation of various aspects of the API’s behavior, ensuring reliability and consistency in its performance.
Type 2: Create Manually
Click on Add API and choose the ‘Create manually’ option Select the API type and give a name.
Click on Create API to begin the manual process. Enter all the required details for the API.
API Name and Type: Users can view the API’s name and select its type (REST, SOAP) to ensure proper handling within the platform.
Method Selection: Users can designate the appropriate method (GET, POST, PUT, DELETE, PATCH) based on the desired action the API should perform, thereby defining its interaction with the server.
Timeout Setting: Users have the option to set a timeout in milliseconds.
Protocol Configuration: The platform facilitates toggling between HTTP and HTTPS protocols, allowing users to secure API calls by opting for HTTPS where applicable.
Endpoint and Context Path: In this section, users can modify the API’s endpoint URL and specify the context path, which is essential for accurately directing API calls.
Authorization Type: Users can select the authorization type that aligns with the API’s security requirements, ensuring secure interactions, whether it involves Basic Auth or OAuth. The authorization will be generated when you save the API.
In the Headers and Params tab, users can add, delete, and modify both the key and value, as well as the type of each parameter. This functionality allows for precise customization and configuration of API requests, ensuring accurate and effective testing.
Within the Body tab, users have two options for inputting data. They can opt to either enter the code directly or upload a file.
Enter a unique key name and upload the body by uploading the file.
The Test Cases tab, users need to manually define test cases for headers assertions, and the body of the API request or response. This functionality allows for thorough testing and validation of various aspects of the API’s behavior, ensuring reliability and consistency in its performance.
Step 1: Click on Nova and choose to generate test cases.
Step 2: The AI will analyze the API and generate ideal test cases that are best suited to test its capabilities.
Step 3: Mark the different test cases, such as header and body test cases, in the tick box.
Step 4: click on Add test cases to API.
Step 5: Click on Headers Test Cases now to see the key, value and description.
Step 6: Click on Send.
Step 7: The response tab is opened and shows the body and header used for the test case.
Step 8: The status shows ‘200 OK’, which means the test was successful and the API is completely functional.
Step 9: To extract its path, click on ‘Path Extractor’ and select JSON path/ X-path.
Step 10: Click on the play button to extract the path. It will show the path, as highlighted in the image below.
Step 11: Similarly, for Body Test Cases. AI will suggest all the test cases.
Step 12: In Pro mode, JSON path test cases are also accessible.
Step 13: For each of the test cases, open the Path Extractor to check the path.
The description lists out the reasoning for the test case, when creating test cases manually it is best recommended to define them.
Type 3: Upload File
To manually upload the file, click on the Swagger or WSDL type, upload the respective type of file, and click on continue.
Note: Follow the same steps as for the Import URL.
Conclusion
The premium model is not just about managing APIs; it is about revolutionizing the entire API lifecycle. By providing an intuitive interface and smart testing features, our premium model offers Pro Tools (API features) that shows how API access can drive integration, innovation, and growth. By creating APIs, businesses can unlock new opportunities, enhance collaboration, and ensure their systems are scalable and efficient.
APIs make it easier for different teams within an organization to collaborate on projects. For instance, the IT department can create APIs that allow the marketing team to access real-time data and analytics, fostering a more collaborative and agile working environment. This level of sophistication empowers your team to handle complex API requirements with ease, reducing downtime and boosting overall productivity.
For more information or personalized assistance, reach out to Qyrus. We are here to help you achieve excellence to create APIs, manage them and beyond. Embrace the future of API software with our premium model and take your projects to the next level. Try QAPi now.
Watch what our Qyrus President, Ravi Sundaram, has to say about QAPi.
About The Client
Automobile Manufacturer
The client is an automobile manufacturer known for its commitment to safety, reliability, and environmental sustainability. The client’s vision is to deliver happiness to all by providing customers with enjoyment and peace of mind through their vehicles. The company concentrates its resources on delivering value to customers, who view their vehicles as lifestyle partners. Overall, the company positions itself as more than just a car company, with a strong focus on environmental sustainability, community engagement, and providing premium customer ownership experience.
The Challenge
The client was looking for a way to help speed up and improve their SAP test automation. They were doing all their SAP testing manually, which was time-consuming and labor-intensive. Altogether, the client estimated that it was taking about 30 minutes daily to go through an entire scenario manually. On top of that, manual testing is prone to human error and mistakes when performing test cases. These human errors made it harder to detect issues and would lower the software’s quality. Ultimately, with Qyrus’ aid, the client has decreased time-to-market by improving process quality and application stability.
Furthermore, for manual testers to be successful, they must have a good understanding of the software and product itself to understand the intricacies of the more complex test cases. When it came to scaling for larger projects, manual testing proved to be more of an obstacle than anything, including the maintenance of said test cases and artifacts.
Life with Qyrus
The client found Qyrus to be a powerful platform. One key capability was scheduling automated scripts to execute at specific times and on repeat. In addition to being able to do that, they used parallel executions, making their tests run faster and getting results back more quickly.
The client was excited to have reports generated automatically. The reports come with visual evidence, including screenshots for each step and video playback of executions. The client felt that the platform was robust, and one of the most compelling aspects was the reporting, which they found to be very detailed and easy to understand. Upon completion of the execution, the reports were sent directly to their emails from the platform.
In the future, the client hopes to continue its automation journey and expand its automated test case coverage. Their goal is to one day eliminate the manual testing that they’re doing and automate it all. Currently, they have another 60 test scenarios that they’re looking to start transitioning over. Furthermore, Qyrus is expected to help the client in future migration journeys. The client is looking to modernize their SAP application, making Qyrus a perfect candidate to get the job done. Results & Outcomes
In all, the client was able to completely automate an end-to-end scenario of purchase order and approval on SAP. This end-to-end script had 5 parts, listed below. Each part took, on average, 4 to 5 minutes to execute, bringing the total execution time to about 20-25 minutes. Each part took, on average, 1 ½ hours to build from scratch, and the total build time for the entire scenario was around 7 to 8 hours.
So, in the time of one full workday, the client had an automated script that could be executed on repeat. The total execution time for the entire scenario was, on average, 20 minutes. The number of steps in the automated script totaled 781.
Parts of End-to-End Script:
Purchase Order (PO) Creation
PO Approval
Ariba Confirmation
PO Confirmation and Level 3 WBS Check
Post Goods Receipt for PO
The client states that Qyrus has definitely helped them save time and money overall. This entire process daily would take them 30+ minutes to do manually, and now they have a repeatable executable automated script that can be triggered based on a schedule. The client has seen a lot of benefits since adopting the platform.
Conclusion
In conclusion, the transition to Qyrus has marked a significant turning point for the client. By embracing automation, the client has not only streamlined their SAP test automation process but also achieved a remarkable reduction in testing time by 40%, as mentioned in this manufacturing case study. The implementation of Qyrus’ automated testing platform has enabled the client to overcome the limitations of manual testing, such as time consumption, labor intensity, and susceptibility to human error. Overall, the client’s experience with Qyrus underscores the platform’s potential to not only save time and money but also significantly enhance the quality of software testing.
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Index In this part, we will go through the steps required to create a project in QAPi and how to navigate the application.
Want to know what is QAPi and how to get started with it? Read here.
We’ll guide you through the API testing process using our platform. Whether you prefer importing URLs, creating APIs manually, or uploading files, our platform offers the flexibility to meet your diverse project needs.
Let’s dive into the step-by-step procedure of setting up your project under the freemium model.
API Onboarding Index
Project Creation under the Freemium model
Type 1: Import URL
Type 2: Create Manually
Type 3: Upload File
Test Suite Creation
Conclusion
To accommodate diverse project requirements, our platform provides three methodologies for creating APIs in your Test Suite. This flexibility ensures you can select the approach most compatible with your workflow. Step 1: From the dashboard, click on ‘Playground’.
Step 2: Click on ‘Add APIs’
Note: If you want to know more about the Qyrus platform, you can click on ’Know More’ to learn about API, project-setup, functional-testing, API-process testing, Advanced-features, and FAQs.
Type 1: Import URL
One efficient method of creating APIs is through URL imports. This process supports two primary formats: Swagger and WSDL*. Depending on your project’s specifications, you can choose the format that best aligns with your requirements.
Option 1: Using Swagger Format Step 1: In the import section, click on “Swagger” if you’re using the Swagger format for your API.
Step 2: Input the Swagger URL: In the provided field, type in the URL of your Swagger file. To practice or see how it works, for example, let’s use https://petstore.swagger.io/v2/swagger.json. This sample URL shows you how the process works with a real example.
Step 3: Click ‘Continue’: This tells the platform to start fetching your API’s details from the Swagger file you specified.
The platform will now take a moment to process the URL and add your API to your Test Suite. It will read the Swagger file and set up your API so you can start working with it.
Step 4: Select all the Endpoints to add to testing and click on ‘Add to test’.
Once you successfully import your APIs using the URL method, the platform will navigate you to a comprehensive dashboard.
This dashboard is where you can manage all your imported APIs effectively.
Let’s dive into how you can edit, create, delete, modify, and send these APIs to meet your project requirements.
Navigating Your API Dashboard Upon arrival at the API dashboard, you’ll notice the platform has organized your APIs neatly. Here’s how to get started with managing them:
Accessing Your APIs: On the left side of the screen, you’ll find a list of all your imported APIs. This list is your gateway to manage each API individually.
Exploring API Options: Click on any API from the list to select it. Once selected, look for the three dots (more options) next to the API name. Clicking here will reveal a menu with various actions you can perform.
Saving to Test Suite: First, click on ‘Save to test Suite’ to add an API to a specific Test Suite.
A pop-up box will ask you to name your Test Suite if you haven’t already created one.
Do this by typing the name into the field provided and clicking the tick box to confirm.
If you’ve previously set up a Test Suite, you can save your API by selecting it from the dropdown menu.
Cloning an API: Cloning is handy when you want to create a similar API with slight modifications. Select ‘Clone’ to make an exact copy of the selected API, which you can edit as needed.
Sending an API: This option helps you test your API’s functionality in real-time. Choose ‘Send’ to execute the API call and view the response, which helps you validate its performance.
You can also click on the send button highlighted in the image below.
It will open the response tab, showing:
Status: If the server has successfully processed the request, it will show OK as a successful interaction, the standard response for successful HTTP requests.
Size: The total size of the response data sent from the server, including headers and body content. It gives an idea of the payload’s weight, which can impact load times and performance, especially in data-intensive applications.
Time: The duration taken for the request to be sent, processed, and for the response to be received. It is a critical metric for assessing the efficiency and speed of the API, highlighting the system’s responsiveness.
Users can review the body of the response, often shown in the format specified (such as JSON, XML, etc.), to assess the API’s behavior and validate its output against expected results. This immediate feedback is crucial for debugging and optimizing API functionality.
Deleting an API: If an API is no longer needed or was added by mistake, selecting the ‘Delete’ icon will remove it from your dashboard.
To add more APIs, click on the Add Icon.
Modifying API
Select an API: The main screen will display all its intricate details under the ‘Details’ tab. Here, you can modify the API to fit your exact needs:
API Name and Type: Users can view the API’s name and select its type (REST, SOAP) to ensure proper handling within the platform.
Method Selection: Users can designate the appropriate method (GET, POST, PUT, DELETE, PATCH) based on the desired action the API should perform, thereby defining its interaction with the server.
Timeout Setting: Users have the option to set a timeout in milliseconds.
Protocol Configuration: The platform facilitates toggling between HTTP and HTTPS protocols, allowing users to secure API calls by opting for HTTPS where applicable.
Endpoint and Context Path: In this section, users can modify the API’s endpoint URL and specify the context path, which is essential for accurately directing API calls.
Authorization Type: Users can select the authorization type that aligns with the API’s security requirements, ensuring secure interactions, whether it involves Basic Auth or OAuth. The authorization will be generated when you save the API.
In the Headers and Params tab, users can add, delete, and modify both the key and value, as well as the type of each parameter. This functionality allows for precise customization and configuration of API requests, ensuring accurate and effective testing.
Within the Body tab, users have several options for inputting data. They can choose to enter the code directly or upload a file.
When selecting the code option, users can specify the type of code they input, including JSON, XML, Text, or GraphQL.
Generate Use Cases with NOVA Under the ‘Test Cases’ tab, users are presented with options to define test cases for Header Assertions, and the body of the API request or response. This functionality allows for thorough testing and validation of various aspects of the API’s behavior, ensuring reliability and consistency in its performance.
Step 1: Click on Nova and choose to generate test cases.
Step 2: The AI will analyze the API and generate ideal test cases that are best suited to test its capabilities.
Step 3: Mark the different test cases, such as header and body test cases, in the tick box.
Step 4: click on Add test cases to API.
Step 5: Click on Headers Test Cases now to see the key, value and description.
Step 6: Click on Send.
Step 7: The response tab is opened and shows the body and header used for the test case.
Step 8: The status shows ‘200 OK’, which means the test was successful and the API is completely functional.
Step 9: To extract its path, click on ‘Path Extractor’ and select JSON path/ X-path.
Step 10: Click on the play button to extract the path. It will show the path, as highlighted in the image below.
Step 11: Similarly, for Body Test Cases. AI will suggest all the test cases.
Option 2: Using WSDL Format
Step 1: Navigate to the Add API button and select “WSDL” if your API utilizes the WSDL format.
Step 2: Enter the WSDL URL: Add the URL of your WSDL file. Consider using a sample WSDL URL for a practical example or to familiarize yourself with the procedure.
Step 3: Initiate Import by Clicking ‘Continue’:
Modifying API
Select an API: The main screen will display all its intricate details under the ‘Details’ tab. Here, you can modify the API to fit your exact needs.
API Name and Type: Users can view the API’s name and select its type (REST, SOAP) to ensure proper handling within the platform.
Method Selection: Users can designate the appropriate method (GET, POST, PUT, DELETE, PATCH) based on the desired action the API should perform, thereby defining its interaction with the server.
Timeout Setting: Users have the option to set a timeout in milliseconds.
Protocol Configuration: The platform facilitates toggling between HTTP and HTTPS protocols, allowing users to secure API calls by opting for HTTPS where applicable.
Endpoint and Context Path: In this section, users can modify the API’s endpoint URL and specify the context path, which is essential for accurately directing API calls.
Authorization Type: Users can select the authorization type that aligns with the API’s security requirements, ensuring secure interactions, whether it involves Basic Auth or OAuth. The authorization will be generated when you save the API.
In the Headers and Params tab, users can add, delete, and modify both the key and value, as well as the type of each parameter. This functionality allows for precise customization and configuration of API requests, ensuring accurate and effective testing.
Within the Body tab, users encounter an array of options for inputting data. They can choose to enter the code directly or upload a file.
In the code type for WSDL, the system shows the XML code type.
On the Test Cases tab, users are presented with options to define test cases for headers assertions, and the body of the API request or response. This functionality allows for thorough testing and validation of various aspects of the API’s behavior, ensuring reliability and consistency in its performance.
Type 2: Create Manually
Click on Add API and choose the ‘Create manually’ option
Select the API type and give a name.
Click on Create API to begin the manual process.
Enter all the required details for the API.
API Name and Type: Users can view the API’s name and select its type (REST, SOAP) to ensure proper handling within the platform.
Method Selection: Users can designate the appropriate method (GET, POST, PUT, DELETE, PATCH) based on the desired action the API should perform, thereby defining its interaction with the server.
Timeout Setting: Users have the option to set a timeout in milliseconds.
Protocol Configuration: The platform facilitates toggling between HTTP and HTTPS protocols, allowing users to secure API calls by opting for HTTPS where applicable.
Endpoint and Context Path: In this section, users can modify the API’s endpoint URL and specify the context path, which is essential for accurately directing API calls.
Authorization Type: Users can select the authorization type that aligns with the API’s security requirements, ensuring secure interactions, whether it involves Basic Auth or OAuth. The authorization will be generated when you save the API.
In the Headers and Params tab, users can add, delete, and modify both the key and value, as well as the type of each parameter. This functionality allows for precise customization and configuration of API requests, ensuring accurate and effective testing.
Within the Body tab, users have two options for inputting data. They can opt to either enter the code directly or upload a file.
Enter a unique key name and upload the body by uploading the file.
The Test Cases tab, users need to manually define test cases for headers assertions, and the body of the API request or response. This functionality allows for thorough testing and validation of various aspects of the API’s behavior, ensuring reliability and consistency in its performance.
Type 3: Upload File
To manually upload the file, click on the Swagger or WSDL type, upload the respective type of file, and click on continue.
Note: Follow the same steps as for the Import URL.
Test Suite Creation
Step 1: Once the APIs are uploaded and tested, the user needs to add them to a test suite. Select the API, click on more options, and click on Save to Test Suite.
Step 2: A pop-up box will prompt the user to name their Test Suite if one hasn’t been created already.
Step 3: Enter the desired name into the provided field and click the tick box to confirm.
Step 4: Navigate to the testing suite after the APIs are added to the testing suite section.
Step 5: Here, users can test multiple APIs simultaneously. Click on ‘Preview’ to inspect the request body and response.
Step 6: After previewing, click on ‘Execute’. This action will initiate the API tests, push them, and initiate the test run.
Step 7: The platform will begin running the tests and subsequently navigate the user to the report stage for detailed analysis and review.
Check Functional Reports to get an analysis of the API tests.
Conclusion
We’ve explored the transformative power of QAPi. With its intuitive features, smart testing capabilities, and user-friendly interface, our aim with this application is to redefine how API testing is conducted. As organizations embrace this innovation, they open doors to faster, more comprehensive testing, boosting efficiency and ensuring the reliability of their applications.
Creating and managing projects under the freemium model on our platform is straightforward and flexible, this allows you to tailor your API setup to your project’s specific needs. The API onboarding process is designed to be seamless, ensuring you can quickly integrate and manage your APIs using our robust API dashboard.
We hope this guide has helped get you started with creating and managing APIs in your Test Suite using our free API testing tool. If you need further assistance or have any additional questions, please get in touch with Qyrus for more help. We would be happy to assist you and guide to solve your problems!
The software industry is going through a transformation of Artificial Intelligence (AI) and Machine Learning (ML). Software Testing is no exception to this. Advanced technologies like AI and ML are revolutionizing the traditional software process and practices. AI and ML help reduce the complexities involved in Software Testing. The new AI capabilities focus on speed, accuracy, and delivery. Though shift-left testing has been a buzzword in the software industry for a long time, it was hard to achieve due to many challenges, and AI and ML solutions quickly made it possible. This revolution not only helps the organization but also helps testers focus on their core objective of delivering high-quality software in reduced time to market.
As per Fortune Business Insights, the AI-enabled market is projected to grow up to USD 2,746.6 million by 2030, exhibiting a CAGR of 20.7% during the forecast period. By 2025, nearly 70% of freshly developed enterprise solutions will be created with the help of low-code or no-code technologies.
What is AI and ML
Artificial Intelligence, or AI, refers to the simulation of human intelligence in machines that are designed, developed, and programmed to think as humans and mimic human actions. ML is the branch of AI that refers to the development of algorithms, using data by helping the AI to imitate the way that humans learn, gradually improving its accuracy. The difference between AI and ML is that AI is an end product that mimics one or more tasks. ML is a subset that helps to build AI-based systems by focusing on algorithms.
What’s the difference between AI and ML? ML is the subsystem of AI; However, AI can exist with or without ML. Most of the AI systems use ML for prediction and self-correction. ML can also help with accuracy. The detailed comparison of AI and ML is as follows.
Artificial Intelligence (AI)
Machine Learning (ML)
AI allows to simulate the human intelligence
ML learn autonomously from historical data
AI helps to build the intelligent system to perform complex tasks
ML helps to build the machine with high accuracy by learning its own over the period
AI has a broad range of applications
ML scope is limited compared to AI
AI can mimic human decision-making.
ML uses the self-learning technique; it can help in producing predictive models.
AI can use structured, semi-structured, and unstructured
ML uses only structured and semi-structured data
AI utilizes the decision trees to learn, reason, and correct itself
ML uses statistical models to learn, but it can self-correct with new data
How does AI help to reshape test automation? Organizations are adopting the Agile methodology to go early to the market. Though application development easily adjusts to the rapid change, software testing still faces challenges when adopting Agile. Most of the time, the deliverables come towards the end of the sprint with tight timelines. Following all the testing processes and completing test activities within the same sprint is not only difficult but also challenging.
Testing activities involve analyzing the requirements, creating the test cases with expected and actual results, labeling them with the right priority, and automating them. These tasks seem very simple but take a lot of time and effort. The testing tools are evolving with AI capabilities, they can generate the test cases based on the requirement, and with additional configuration, they can also generate the test automation script. This considerably reduces the effort and saves a lot of time.
Today, many test automation tools come with in-built AI capabilities. Some of the latest trends in AI and ML (test automation tools) are no-code-based tools, intelligent recording of test scripts, and intelligent conversion of natural language to programming language. AI and ML solutions are not only helpful in test automation; they also generate the load on a system based on historical data and help in performance testing. It can analyze the application code and suggest possible vulnerabilities, security breaches, etc.
Benefits of AI-based test automation tool
It reduces the complexity involved in the testing process
It intelligently suggests a possible fix by making a test failure analysis
AI can reduce the technical proficiency required in automation with no-code and natural language processing
AI reduces the maintenance effort
It can identify the gaps in test automation and help in increasing the test coverage.
It can save the organization’s costs in various ways, such as by reducing technical resources, automating repetitive tasks, etc.
AI can help in test automation efficiency and reliability by decreasing flakiness and maintenance.
How AI-based testing tool helps to accelerate test automation There are many AI-based tools in the market, each offers many unique features. Most of the tools focus on the no-code-based feature. Qyrus is focused on bringing the most out of AI capabilities in terms of automation testing and testing processes. The Qyrus AI Verse provides all the basic AI features, such as no-code or scriptless automation. It provides AI-based testing solutions for Mobile and Web platforms with capabilities of UI, Component, and API testing. Some of the notable features of Qyrus are that it allows the AI and ML solutions for visual testing with Rover. Users utilize TestGenerator to generate functional test cases by automatically reading the JIRA tickets. As mentioned earlier, the in-sprint automation and shift left testing can be easily done by integrating TestGenerator into Qyrus. It translates acceptance criteria into functional test cases, which can be easily converted to automation scenarios with Qyrus no-code automation testing. It can also facilitate shift left and continuous monitoring using GenAI technology.
Conclusion Software testing is undergoing a major revolution with modern AI and ML technologies. AI and ML can reduce the complexities involved in the testing process by mimicking human actions. Repetitive tasks no longer require human interference. Though many tools attempt to bring AI into automation testing not all are successful. Qyrus is focusing on bridging all the gaps in software testing and automation with AI and ML capabilities. Additionally, Qyrus provides the features to integrate many popular AI tools like TestGenerator, API Discovery, TestPilot, Rover, etc. to get the most out of AI. The AI technology in the Qyrus tool can significantly reduce the organization’s cost and help increase the ROI.
