The BFSI sector faces immense pressure to deliver rapid digital transformation, but outdated, manual QA has become a bottleneck. AI accelerates innovation but introduces unpredictable behaviors that legacy approaches can’t handle. Fragmented toolchains and slow, error-prone testing expose banks to security risks, costly inefficiencies, and customer churn.
Download this whitepaper to learn how to:
Address non-determinism in AI-powered financial systems
Move from reactive bug-finding to proactive trust engineering
Integrate holistic, automated testing across web, mobile, and APIs
Quantify the bottom-line impact of engineered software quality
What You’ll Discover Inside
Core principles of Trust Engineering for BFSI institutions
Qyrus platform’s role in enabling unified, intelligent, and automated QA.
Case study: 200% ROI for a leading UK bank using agentic QA.
Strategies to protect customer data, enhance user experience, and reduce manual testing effort.
SAP releases updates at breakneck speed. Development teams are sprinting forward, leveraging AI-assisted coding to deploy features faster than ever. Yet, in conference rooms across the globe, SAP Quality Assurance (QA) leaders face a grim reality: their testing cycles are choking innovation. We see this friction constantly in the field—agility on the front-end, paralysis in the backend.
The gap between development speed and testing capability is not just a process issue; it is a financial liability. Modern enterprise resource planning (ERP) systems, particularly those driven by SAP Fiori and UI5, have introduced significant complexities into the Quality Assurance lifecycle. Fiori’s dynamic nature—characterized by frequent updates and the generation of dynamic control identifiers—systematically breaks traditional testing models.
When business processes evolve, the Fiori applications update to meet new requirements, but the corresponding test cases often lag behind. This misalignment creates a dangerous blind spot. We often see organizations attempting to validate modern, cloud-native SAP environments using methods designed for on-premise legacy systems. This disconnect impacts more than just functional correctness; it hampers the ability to execute critical SAP Fiori performance testing at scale. If your team cannot validate functional changes quickly, they certainly cannot spare the time to load test SAP Fiori applications under peak user conditions, leaving the system vulnerable to crashes during critical business periods.
To understand why SAP Fiori test automation strategies fail so frequently, we must examine the three distinct evolutionary phases of SAP testing. Most enterprises remain dangerously tethered to the first two, unable to break free from the gravity of legacy processes.
Wave 1: The Spreadsheet Quagmire and the High Cost of Human Error
For years, “testing” meant a room full of functional consultants and business users staring at spreadsheets. They manually executed detailed, step-by-step scripts and took screenshots to prove validation.
This approach wasn’t just slow; it was economically punishing. Manual testing suffers from a linear cost curve—every new feature adds linear effort. Industry analysis suggests that the annual cost for manual regression testing alone can exceed $201,600 per environment. When you scale that across a five-year horizon, organizations often burn over $1 million just to stay in the same place. Beyond the cost, the reliance on human observation inevitably leads to “inconsistency and human error,” where critical business scenarios slip through the cracks due to sheer fatigue.
Wave 2: The False Hope of Script-Based Automation
As the cost of manual testing became untenable, organizations scrambled toward the second wave: Traditional Automation. Teams adopted tools like Selenium or record-and-playback frameworks, hoping to swap human effort for digital execution.
It worked, until it didn’t.
While these tools solved the execution problem, they created a massive maintenance liability. Traditional web automation frameworks rely on static locators (like XPaths or CSS selectors). They assume the application structure is rigid. SAP Fiori, however, is dynamic by design. A simple update to the UI5 libraries can regenerate control IDs across the entire application.
Instead of testing new features, QA engineers spend 30% to 50% of their time just setting up environments and fixing broken locators. This isn’t automation; it is just automated maintenance.
Wave 3: The Era of ERP-Aware Intelligence
We have hit a ceiling with script-based approaches. The complexity of modern SAP Fiori test automation demands a third wave: Agentic AI.
This new paradigm moves beyond checking if a button exists on a page. It focuses on “ERP-Aware Intelligence”—tools that understand the business intent behind the process, the data structures of the ERP, and the context of the user journey. We are moving away from fragile scripts toward intelligent agents that can adapt to changes, understand business logic, and ensure process integrity without constant human intervention.
To achieve the economic viability modern enterprises need, automation must do more than click buttons. It must reduce maintenance effort by 60% to 80%. Without this shift, teams will remain trapped in a cycle of repairing yesterday’s tests instead of assuring tomorrow’s releases.
The Technical Trap: Why Standard Automation Crumbles Under Fiori
You cannot solve a dynamic problem with a static tool. This fundamental mismatch explains why so many SAP Fiori test automation initiatives stall within the first year. The architecture of SAP Fiori/UI5 is built for flexibility and responsiveness, but those very traits act as kryptonite for traditional, script-based testing frameworks.
The “Dynamic ID” Nightmare
If you have ever watched a Selenium script fail instantly after a fresh deployment, you have likely met the Dynamic ID problem.
Standard web automation tools function like a treasure map: “Go to X coordinate and dig.” They rely on static locators—specific identifiers in the code (like button_123)—to find and interact with elements.
SAP Fiori does not play by these rules. To optimize performance and rendering, the UI5 framework dynamically generates control IDs at runtime. A button labeled __xmlview1–orderTable in your test environment today might become __xmlview2–orderTable in production tomorrow.
Because the testing tool cannot find the exact ID it recorded, the test fails. The application works perfectly, but the report says otherwise. These “false negatives” force your QA engineers to stop testing and start debugging, eroding trust in the entire automation suite.
The Maintenance Death Spiral
This instability triggers a phenomenon known as the Maintenance Death Spiral. When locators break frequently, your team stops building new tests for new features. Instead, they spend their days patching old scripts just to keep the lights on.
If you spend 70% of your time fixing yesterday’s work, you cannot support today’s velocity. This high rework cost destroys the ROI of automation. You aren’t accelerating release cycles; you are merely shifting the bottleneck from manual execution to technical debt management.
The “Documentation Drift”
While your engineers fight technical fires, a silent strategic failure occurs: Documentation Drift.
In a fast-moving SAP environment, business processes evolve rapidly. Developers update the code to meet new requirements, but the functional specifications—and the test cases based on them—often remain static.
This creates a dangerous gap. Your tests might pass because they validate an outdated version of the process, while the actual implementation has drifted away from the business intent. Without a mechanism to triangulate code, documentation, and tests, you risk deploying features that are technically functional but practically incorrect.
The Tooling Illusion: Why Current Solutions Fall Short
When organizations realize manual testing is unsustainable, they often turn to established automation paradigms, but each category trades one problem for another. Model-based solutions, while offering stability, suffer from a severe “creation bottleneck,” forcing functional teams to manually scan screens and build complex underlying models before a single test can run. On the other end of the spectrum, code-centric and low-code frameworks offer flexibility but remain fundamentally “blind” to the ERP architecture. Because these tools rely on standard web locators rather than understanding the business object, they shatter the moment SAP Fiori test automation environments generate dynamic IDs, forcing teams to simply trade manual execution for manual maintenance.
Native legacy tools built specifically for the ecosystem might feel like a safer bet, but they lack the modern, agentic capabilities required for today’s cloud cadence. These older platforms miss critical self-healing features and struggle to keep pace with evolving UI5 elements, making them ill-suited for agile SAP Fiori performance testing. Ultimately, no existing category—whether model-based, script-based, or native—fully bridges the gap between the technical implementation and the business intent. They leave organizations trapped in a cycle where they must choose between the high upfront cost of creation or the “death spiral” of ongoing maintenance, with no mechanism to align the testing reality with drifting documentation.
Code-to-Test: The Agentic Shift in SAP Fiori Test Automation
We built the Qyrus Fiori Test Specialist to answer a singular question: Why are humans still explaining SAP architecture to testing tools? The “Third Wave” of QA requires a platform that understands your ERP environment as intimately as your functional consultants do. We achieved this by inverting the standard workflow. We moved from “Record and Play” to “Upload and Generate.”
SAP Scribe: Reverse Engineering, Not Recording
The most expensive part of automation is the beginning. Qyrus eliminates the manual “creation tax” through a process we call Reverse Engineering. Instead of asking a business analyst to click through screens while a recorder runs, you simply upload the Fiori project folder containing your View and Controller files.
Proprietary algorit hms, which we call Qyrus SAP Scribe, ingest this source code alongside your functional requirements. The AI analyzes the application’s input fields, data flow, and mapping structures to automatically generate ready-to-run, end-to-end test cases. This agentic approach creates a massive leap in SAP Fiori test automation efficiency. It drastically reduces dependency on your business teams and eliminates the need to manually convert fragile recordings into executable scripts. You get immediate validation that your tests match the intended functionality without writing a single line of code.
The Golden Triangle: Triangulated Gap Analysis
Standard tools tell you if a test passed or failed. Qyrus tells you if your business process is intact.
We introduced a “Triangulated” Gap Analysis that compares three distinct sources of truth:
The Code: The functionality actually implemented in the Fiori app.
The Specs: The requirements defined in your functional documentation.
The Tests: The coverage provided by your existing validation steps.
Dashboards visualize exactly where the reality of the code has drifted from the intent of the documentation. The system then provides specific recommendations: either update your documentation to match the new process or modify the Fiori application to align with the original requirements. This ensures your QA process drives business alignment, not just bug detection.
The Qyrus Healer: Agentic Self-Repair
Even with perfect generation, the “Dynamic ID” problem remains a threat during execution. This is where the Qyrus Healer takes over.
When a test fails because a control ID has shifted—a common occurrence in UI5 updates—the Healer does not just report an error. It pauses execution and scans the live application to identify the new, correct technical field name. It allows the user to “Update with Healed Code” instantly, repairing the script in real-time. This capability is the key to breaking the maintenance death spiral, ensuring that your automation assets remain resilient against the volatility of SaaS updates.
Beyond the Tool: The Unified Qyrus Platform
Optimizing a single interface is not enough. SAP Fiori exists within a complex ecosystem of APIs, mobile applications, and backend databases. A testing strategy that isolates Fiori from the rest of the enterprise architecture leaves you vulnerable to integration failures. Qyrus addresses this by unifying SAP Fiori performance testing, functional automation, and API validation into a single, cohesive workflow.
Unified Testing and Data Management
Qyrus extends coverage beyond the UI5 layer. The platform allows you to load test SAP Fiori workflows under peak traffic conditions while simultaneously validating the integrity of the backend APIs driving those screens. This holistic view ensures that your system does not just look right but performs right under pressure.
However, even the best scripts fail without valid data. Identifying or creating coherent data sets that maintain referential integrity across tables is often the “real bottleneck” in SAP testing. The Qyrus Fiori Test Specialist integrates directly with Qyrus DataChain to solve this challenge. DataChain automates the mining and provisioning of test data, ensuring your agentic tests have the fuel they need to run without manual intervention.
Agentic Orchestration: The SEER Framework
We are moving toward autonomous QA. The Qyrus platform operates on the SEER framework—Sense, Evaluate, Execute, Report.
Sense: The system reads and interprets the application code and documentation.
Evaluate: It identifies gaps between the technical implementation and business requirements.
Execute: It generates and runs tests using self-healing locators.
Report: It provides actionable intelligence on process conformance.
This framework shifts the role of the QA engineer from a script writer to a process architect.
Conclusion: From “Checking” to “Assuring”
The path to effective SAP Fiori test automation does not lie in faster scripting. It lies in smarter engineering.
For too long, teams have been stuck in the “checking” phase—validating if a button works or a field accepts text. The Qyrus Fiori Test Specialist allows you to move to true assurance. By utilizing Reverse Engineering to eliminate the creation bottleneck and the Qyrus Healer to survive the dynamic ID crisis, you can achieve the 60-80% reduction in maintenance effort that modern delivery cycles demand.
Ready to Transform Your SAP QA Strategy?
Stop letting maintenance costs eat your budget. It is time to shift your focus from reactive validation to proactive process conformance.
If you are ready to see how SAP Fiori test automation can actually work for your enterprise—delivering stable locators, autonomous repair, and deep ERP awareness—the Qyrus Fiori Test Specialist is the solution you have been waiting for. Don’t let brittle scripts or manual regressions slow down your S/4HANA migration. Eliminate the creation bottleneck and achieve the 60-80% reduction in maintenance effort that your team deserves.
Let’s confront the reality of mobile testing right now. It is messy. It is expensive. And for most teams, it is a constant battle against entropy.
We aren’t just writing tests anymore; we are fighting to keep them alive. The sheer scale of hardware diversity creates a logistical nightmare. Consider the Android ecosystem alone: it now powers over 4.2 billion active smartphones produced by more than 1,300 different manufacturers. When you combine this hardware chaos with OS fragmentation—where Android 15 holds only 28.5% market share while older versions cling to relevance—you get a testing matrix that breaks traditional scripts.
But the problem isn’t just the devices. It’s the infrastructure.
If you use real-device clouds, you know the frustration of “hung sessions” and dropped connections. You lose focus. You lose context. You lose time. These infrastructure interruptions force testers to restart sessions, re-establish state, and waste hours distinguishing between a buggy app and a buggy cloud connection.
This chaos creates a massive, invisible tax on your engineering resources. Instead of building new features or exploring edge cases, your best engineers are stuck in the “maintenance trap.” Industry data reveals that QA teams often spend 65-70% of their time maintaining existing tests rather than creating new ones.
That is not a sustainable strategy. It is a slow leak draining your return on investment (ROI). To fix this, we didn’t just need a software update; we needed a complete architectural rebuild.
The Zero-Migration Paradox: Innovation Without the Demolition
When a software vendor announces a “complete platform rebuild,” seasoned QA leaders usually panic.
We know what that phrase typically hides. It implies “breaking changes.” It signals weeks or months of refactoring legacy scripts to fit new frameworks. It means explaining to stakeholders why regression testing is stalled while your team migrates to the “new and improved” version.
We chose a harder path for the upcoming rebuild of the Qyrus Mobility platform.
We refused to treat your existing investment as collateral damage. Our engineering team made one non-negotiable promise during this rebuild: 100% backwards compatibility from Day 1.
This is the “Zero Migration” paradox. We completely re-imagined the building, managing, and running of mobile tests to be faster and smarter, yet we ensured that zero migration effort is required from your team. You do not need to rewrite a single line of code.
Those complex, business-critical test scripts you spent years refining? They will work perfectly the moment you log in. We prioritized this stability to ensure you get the power of a modern engine without the downtime of a mechanic’s overhaul. Your ROI remains protected, and your team keeps moving forward, not backward.
Stop Fixing the Same Script Twice: The Modular Revolution
We need to talk about the “Copy-Paste Trap.”
In the early days of a project, linear scripting feels efficient. You record a login flow, then record a checkout flow, and you are done. But as your suite grows to hundreds of tests, that linear approach becomes a liability. If your app’s login button ID changes from #submit-btn to #btn-login, you don’t just have one problem; you have 50 problems scattered across 50 different scripts.
This is the definition of Test Debt. It is the reason why teams drown in maintenance instead of shipping quality code.
With the new Qyrus Mobility update, we are handing you the scissors to cut that debt loose. We are introducing Step Blocks.
Think of Step Blocks as the LEGO® bricks of your testing strategy. You build a functional sequence—like a “Login” flow or an “Add to Cart” routine—once. You save it. Then, you reuse that single block across every test in your suite.
The magic happens when the application changes. When that login button ID inevitably updates, you don’t hunt through hundreds of files. You open your Login Step Block, update the locator once, and it automatically propagates to every test script that uses it.
This shift from linear to modular design is not just a convenience; it is a mathematical necessity for scaling. Industry research confirms that adopting modular, component-based frameworks can reduce maintenance costs by 40-80%.
By eliminating the redundancy in your scripts, you free your team from the drudgery of repetitive fixes. You stop maintaining the past and start testing the future.
Reclaiming Focus: Banish the “Hung Session”
We need to address the most frustrating moment in a tester’s day.
You are forty minutes into a complex exploratory session. You have almost reproduced that elusive edge-case bug. You are deep in the flow state. Then, the screen freezes. The connection drops. Or perhaps you hit a hard limit; standard cloud infrastructure often enforces strict 60-minute session timeouts.
The session dies, and with it, your context. You have to reconnect, re-install the build, navigate back to the screen, and hope you remember exactly what you were doing. Industry reports confirm that cloud devices frequently go offline unexpectedly, forcing testers to restart entirely.
We designed the new Qyrus Mobility experience to eliminate these interruptions.
We introduced Uninterrupted Editing because we know testing is iterative. You can now edit steps, fix logic, or tweak parameters without closing the device window. You stay connected. The app stays open. You fix the test and keep moving.
We also solved the context-switching problem with Rapid Script Switching. If you need to verify a different workflow, you don’t need to disconnect and start a new session. You simply load the new script file into the active window. The device stays with you.
We even removed the friction at the very start of the process. With our “Zero to Test” workflow, you can upload an app and start building a test immediately—no predefined project setup required. We removed the administrative hurdles so you can focus on the quality of your application, not the stability of your tools.
Future-Proofing with Data & AI: From Static Inputs to Agentic Action
Mobile applications do not live in a static vacuum. They exist in a chaotic, dynamic world where users switch time zones, calculate different currencies, and demand personalized experiences. Yet, too many testing tools still rely on static data—hardcoded values that work on Tuesday but break on Wednesday.
We have rebuilt our data engine to handle this reality.
The new Qyrus Mobility platform introduces advanced Data Actions that allow you to calculate and format variables directly within your test flow. You can now pull dynamic values using the “From Data Source” option, letting you plug in complex datasets seamlessly. This is critical because modern apps handle 180+ different currencies and complex date formats that static scripts simply cannot validate. We are giving you the tools to test the app as it actually behaves in the wild, not just how it looks in a spreadsheet.
But we are not stopping at data. We are preparing for the next fundamental shift in software quality.
You have heard the hype about Generative AI. It writes code. It generates scripts. But it is reactive; it waits for you to tell it what to do. The future belongs to Agentic AI.
In Wave 3 of our roadmap, we will introduce AI Agents designed for autonomous execution. Unlike Generative AI, which focuses on content creation, Agentic AI focuses on outcomes. These agents will not just follow a script; they will autonomously explore your application, identifying edge cases and validating workflows that a human tester might miss. We are building the foundation today for a platform that doesn’t just assist you—it actively works alongside you.
Practical Testing: Generative AI Vs. Agentic AI
Dimension
Generative AI
Agentic AI
Core Function
Generates test code and suggestions
Autonomously executes and optimizes testing
Decision-Making
Reactive; requires prompts
Proactive; makes independent decisions
Error Handling
Cannot fix errors autonomously; requires human correction
Automatically detects, diagnoses, and fixes errors
Maintenance
Generates new tests; humans maintain existing tests
Actively uses tools, APIs, and systems to accomplish tasks
Feedback Loops
None; static output until new prompt
Continuous; learns and adapts from every execution
Outcome Focus
Process-oriented (did I generate good code?)
Results-oriented (did I achieve quality objectives?)
Conclusion: The New Standard for 2026
This update is not a facelift. It is a new foundation.
We rebuilt the Qyrus Mobility platform to solve the problems that actually keep you awake at night: the maintenance burden, the flaky sessions, and the fear of breaking what already works. We did it while keeping our promise of 100% backwards compatibility.
You get the speed of a modern engine. You get the intelligence of modular design. And you keep every test you have ever written.
Get Ready. The future of mobile testing arrives in 2026. Stay tuned for the official release date—we can’t wait to see what you build.
Welcome to this week’s Feature Friday! We’re excited to talk about Qyrus Bot, an advanced chatbot that simplifies the entire testing process. As the world becomes increasingly digitized, testing software has become a crucial part of many organizations’ software development lifecycle. However, the process of creating, running, scheduling, and managing tests can be complex and time-consuming.
That’s where Qyrus Bot comes in. This chatbot offers a range of features that help users create and manage tests with ease using natural language and an intuitive interface. With Qyrus Bot, testing becomes a hassle-free process, enabling users to focus on what really matters: delivering high-quality software products. In this Feature Friday, we’ll take a closer look at Qyrus Bot’s advanced capabilities with Rohith and Tim from the Qyrus team! Let’s learn more about how Qyrus Bot can revolutionize the testing process for businesses of all sizes.
What is Qyrus Bot and what is its purpose?
Rohith: Qyrus Bot is an advanced chatbot that simplifies the entire testing process by offering a range of features that help users create, run, schedule, and manage tests with ease. With Qyrus Bot, users can create tests using natural language, without the need for technical expertise.
Tim: Qyrus Bot specifically targets features related to simplifying the testing process and enhancing the user experience. Its main goal is to make the entire testing process easier and more efficient for users, regardless of their technical expertise or how much experience they have with automated testing in general.
What is Qyrus Bot’s overall impact on the testing process?
Rohith: Qyrus Bot is a game-changer for the testing process overall. It streamlines the entire process, making it faster and more efficient. Users can streamline the creation of tests without needing any coding or technical expertise due to Qyrus Bot’s natural language capabilities. This means that testing is more accessible overall.
Tim: The chatbot’s ability to schedule and run tests automatically means that developers can focus on other tasks while Qyrus Bot carries out the test executions. Some other things it can do in general include test creation, test execution, test scheduling, test management, reporting, and providing device and infrastructure availability.
How might Qyrus Bot help testers, developers, and business technologists? What value can this feature bring?
Tim: A tester can in general use this feature to streamline the testing process, as we’ve mentioned previously. From a tester’s perspective, they might find the most use with using Qyrus Bot to help them create, execute, and manage their test scripts. From a developer’s point of view, it allows the developers to have more information overall and more access to the testing process in general.
Rohith: Qyrus Bot helps business technologists make informed decisions about the final product. It enables them to better understand what’s going on from an automated testing perspective which can often be extremely difficult to understand given the person’s technical literacy on the topic. Qyrus Bot can facilitate collaboration between different teams within the organization, including developers, testers, and business stakeholders.
Does the same or similar functionality exist without Qyrus, and how do competitors address similar problems?
Rohith: Qyrus Bot is different from other test automation products in that it leverages natural language processing and chatbot technology to simplify the testing process and make it more accessible to a wider range of users. While traditional test automation products require users to have programming and technical expertise, a testing chatbot allows users to create and manage tests using simple and intuitive language, without the need for specialized skills. It is like ChatGPT for testing.
Tim: Qyrus Bot enables you to test your mobile applications through a simple natural language interaction, similar to how you might request a song on Alexa. Rather than having to write out code or follow complex testing procedures, you can simply specify which parts of the screen you want to test, and Qyrus Bot will take care of the rest.
In what way does this feature utilize AI/ML, if at all?
Rohith: Qyrus Bot in itself is an AI product. There are three main parts where AI is involved. Firstly, there is understanding the action the user intends to perform such as a tap or enter text. Secondly, getting all the information provided by user in his prompt or utterance like a username. And lastly, identifying and locating the elements. To achieve this there are 7 deep learning models that are working in parallel. Qyrus Bot uses natural language understanding and computer vision to make predictions.
Thanks for tuning in to learn more about Qyrus Bot! With its advanced capabilities, natural language interface, and user-friendly design, Qyrus Bot is revolutionizing the way we approach software testing. Whether you’re a seasoned pro or a newbie in the world of software testing, Qyrus Bot is here to help you streamline your workflow and achieve better results. Now go and enjoy the beautiful weekend as summer approaches and blue skies await! We’ll catch you next week on Feature Friday!
Agility, the ability to move quickly and easily. Every software development team’s goal out there is to be agile. In terms of testing, one of the most time-consuming tasks is the actual building of test scripts. From an automated testing perspective, this can take a long time depending on the maturity of the testing team’s automated framework. For those just starting on their automated journey, this can be an enormous task. However, with Qyrus, we offer the ability to be agile directly out of the box. Today, we have Tim and Adhi here to discuss how Qyrus enables testers to be more agile during the test script building process.
Tim: Testing is a crucial part of the software development lifecycle (SDLC), as it ensures that applications are thoroughly tested for quality and functionality. However, the process of creating test scripts can be time-consuming. This not only includes manual testing, but even the building of automated scripts through coding.
Adhi: That’s where Qyrus comes in. With our platform, we have focused on providing users with tools and features that make automated test building faster and more efficient. Some of these include our web and mobile recorders, auto-suggest, test data management, and parameterization.
Why is faster test building important in the SDLC?
Tim: Faster test building is essential because it enables testers to keep up with the agile nature of software development. As applications are constantly iterating, there is a need for quick iterations of testing to catch bugs and ensure the application’s stability and the best user experience possible.
Adhi: Additionally, faster test building enables teams to release software updates more frequently, keeping up with the demands of the market. It empowers organizations to deliver high-quality software at an accelerated pace without the worry of whether or not bugs made it into production.
How does Qyrus facilitate faster test building?
Adhi: Qyrus offers a range of features that expedite the test building process. Our platform provides an intuitive and user-friendly interface that enables testers to create test scripts quickly and without the need for extensive coding knowledge.
Tim: Furthermore, Qyrus gives the user the ability to reuse old test scripts, reducing the time spent on test script creation. Users can clone test scripts and then rename and edit them as required. Furthermore, users can have nested test scripts, basically allowing for better test script management.
What benefits does faster test building bring to testers, developers, and organizations?
Tim: Faster test building directly benefits testers by saving them time and effort. They can focus more on the actual testing process and spend less time on repetitive test script creation, resulting in increased productivity and improved test coverage.
Adhi: Developers also benefit from faster test building as it allows them to receive timely feedback on the functionality and performance of the application. With shorter feedback loops, they can address issues quickly and iterate on their work more rapidly, leading to faster bug resolution and improved software quality.
Tim: From an organizational perspective, faster test building enables teams to accelerate their release cycles, accelerating their time to market. This agility can lead to happier customers and better business growth.
How does Qyrus compare to other solutions in terms of facilitating faster test building?
Adhi: Qyrus stands out in its ability to facilitate faster test building through its wide array of features and tools. While other solutions may exist, Qyrus offers a comprehensive platform specifically designed to streamline the test building process and cover all of your testing needs from web, mobile, API, and end-to-end business process testing.
Tim: We here at Qyrus understand the importance of efficiency and have continually focused on developing features that prioritize speed and simplicity. Our goal is to empower testers to build test scripts swiftly without compromising on quality.
Test building is a very important part of the testing process. It is something that can be very time consuming and cumbersome when it comes to automated script building. However, as we’ve just discussed, with the right platform it can be easy. Thanks again for joining us this week and learning more about our platform on Feature Friday!
The concept of fourth-quarter comebacks or end-of-the-race victories is that the game is played end to end, and therefore must be won entirely. In the final, and most grueling, hour of the Le Mans, breathtaking shootouts in the world cup, to be truly victorious you must not only play the entire game but efficiently and effectively. Within technology the name of the game is applications. Web applications are an industry standard and mobile applications are not far off. Winning requires consistently providing an amazing customer experience with a flawless end-to-end user journey. But considering the pace of change and increasing requirements across web applications, mobile applications, and accompanying APIs, this can seem adaunting task for QA teams. This week’s Feature Friday is brought to you by Joyal and Suraj where they will discuss the End-to-end testing capabilities of Qyrus, and how the integrated solution optimizes the QA process enabling teams to produce high-quality applications that are well monitored.
Tell us more about the End-to-end testing offered by Qyrus and its use cases.
Suraj:
The End-to-end nature of Qyrus allows a different approach to testing. It allows testing to be done early within the QA cycle even before the application is developed and extends into post-deployment monitoring. This reach of testing capabilities all packed within one solution truly enhance the testing process.
Joyal:
Exactly taking simple designs with no functionality and testing for text and image consistency through built-in tools, or using our device farm to compare mobile application designs across a range of displays and sizes. Also including automated web, Mobile, and API testing with built-in features like service virtualization and performance, all the way through post-deployment scheduling and monitoring, the end-to-end nature of Qyrus truly promotes the best in testing capabilities and efficiency.
What is End-to-end testing’s overall impact on the testing process?
Joyal:
End-to-end testing is currently the most effective way to develop and deploy high-quality applications with speed to market. The concept is simple, the earlier you can begin testing the more inconsistencies discovered and resolved, and with monitoring included in the process, your application is consistently being tested for functionality providing ahigh-quality and consistent experience for users.
Suraj:
Exactly, if Web and Mobile applications are required, with their accompanying APIs, then End-to-end testing is the key to winning the game. Not only functionally testing the application with efficiency but also monitoring it for consistency within a single solution that centralizes all testing, reporting, test data, and required infrastructure.
How might testing end-to-end help testers, developers, and business technologists? What value can this feature bring?
Suraj:
Testers have the most impact with the end-to-end capabilities Qyrus offers. With the ability to take designs and run them through sanity testing, then utilizing recorders and built-in AI/ML capabilities to efficiently build suites of automated Web, Mobile, and API tests which can then be stitched together to test full-scale business processes. Then being able to schedule these tests, integrate with pipelines, with visual and data driven reporting the tester has a unique level of depth and efficiency in terms of testing capabilities. Adding the ability to scale infrastructure up and down as required, and optimizing coverage, the testing solution can also scale with requirements removing unnecessary burden from testers.
Joyal:
Developers are also in a much better position when end-to-end testing is properly implemented. Testing for image and text consistency as well as testing across resolutions and devices gives developers a keen insight into how the application should be developed. Reflexivity, size, and object orientation are all important insights that lead to better application development the first time. Furthermore, even having the functional testing cycle integrated with Jira alongside centralized reporting, developer scan easily view bugs and application inconsistencies
Suraj:
With predominantly all testing being done in a low code no code manner and robust visual reporting it is simple for business analysts and technologists to hold a stake in the QA and testing process. Easily being able to build and execute on Qyrus, testing now shifts to the hands of business professionals who understand customer experience, and customer requirements, and have unique daily usage insights. This optimizes both testing strategy and process as high-value use flows can be easily identified and tested.
Does the same or similar functionality exist without Qyrus, and how do competitors address similar problems?
Joyal:
Similar functionality built into one solution does not exist in the market today. When you consider all of the unique testing features, AI/ML driven capabilities as well as built-in tools and recorders, there are no single platform solutions that provide this reach of testing. Furthermore, adding the aspect of integrations with pipelines, defect management, and testcase management out of the box, the functionality truly does not compare to anything in the market.
Suraj:
Exactly, to even get close to simulating all of Qryus’ capabilities one would have to string together a multitude of point solutions with a range of custom code and required library maintenance. Adding the requirement of infrastructure as well, short of developing an entire testing framework from the ground up, which could take years, there is no simple way to simulate the capabilities and tool set offered by Qyrus.
How do you see End-to-end testing impacting day-to-day operations across organizations?
Suraj:
As this capability set truly enhances the entire QA process it is essential to the day-to-day operations. With the ability to create tests efficiently the test-building process is no longer the weight bearer in the testing process. Maximizing coverage with minimal time or resources spent takes time away from the tedious and repetitive testing requirements and shifts focus on optimizing the application and bringing it to market efficiently.
Joyal:
Exactly, having suites of tests built across each feature and functionality across each application with a range of device and browser options, sitting within a desired pipeline with automatic executions and reporting changes the testing process. Having constant monitoring added to this moves daily testing into new realms with edge case testing and application optimization rather than simple functionality.
The Qyrus platform offers end-to-end testing capabilities that optimize the QA process for web and mobile applications, including accompanying APIs, and enhance the user experience. This allows testing to be done early within the QA cycle and extends into post-deployment monitoring, all within a single solution. This enables early testing, discovering and resolving inconsistencies, and monitoring for functionality, providing a high-quality and consistent experience for users. The impact of end-to-end enhances the entire QA process, maximizes coverage with minimal time or resources spent, and optimizes testing strategy and process. Join us next week as we continue to delve into Qyrus features and functionalities that truly enhance the testing and QA lifecycle.
We here at Qyrus are always looking for improvements to be made to the platform overall. As once said by Sir William Jones, “Never miss an opportunity for improvement.” We take this quote to heart. Just recently, we have made updates to our web testing solution, which we hope will improve the lives of all our users. Joining us today to give us some more information are Suraj and Tim, two veteran members of the Qyrus team. Let’s jump right in and hear more about these great new updates!
Tell us more about the updates to web testing on Qyrus.
Tim: The recent updates to web testing on Qyrus have introduced several new features and improvements that can greatly benefit testers and developers. For instance, we’ve added a test data management feature that enables users to better manage and organize test data, as well as an auto-suggest feature during test building that can help streamline the testing process.
Suraj: Additionally, we’ve made significant improvements to our web recorder making it easier to record and playback web interactions for testing purposes. We’ve also added web load testing and performance profiling capabilities, which can help users identify and address performance issues in their web applications.
What is the overall impact of these updates on the testing process?
Tim: The updates enable users to more efficiently and effectively test their web applications. The test data management feature can help testers organize their data and make it easier to maintain and reuse test cases.
Suraj: The auto-suggest feature can also save users time by providing suggestions for the action type based on the description provided, and the improvements to our web recorder make it easier to create and execute tests, especially with Salesforce testing.
How might these updates help testers, developers, and business technologists? What value can they bring?
Tim: Testers can more easily manage their test data and have more test coverage, while developers can use performance profiling and load-testing features to optimize their web applications.
Suraj: Business technologists can benefit from improved testing capabilities by ensuring the quality and reliability of their web applications, which can help maintain customer satisfaction and prevent revenue loss due to poor performance or functionality.
Does the same or similar functionality exist without Qyrus, and how do competitors address similar problems?
Suraj: While some of the features offered by Qyrus may be available from other providers, our platform offers a comprehensive solution for web testing that includes a wide range of testing capabilities and features.
Tim: Our platform is designed to be intuitive, with a focus on helping users create and execute tests quickly. With the combination of comprehensive and advanced reporting capabilities, Qyrus is an all-around package.
How do you see these updates impacting day-to-day operations across organizations?
Suraj: These updates can help organizations improve the quality and reliability of their web applications, leading to better customer satisfaction and increased revenue. They can also help reduce the time and resources needed to conduct web testing, allowing organizations to focus on other important tasks.
Tim: Overall, these updates can have a significant positive impact on day-to-day operations, making it easier and more efficient to test web applications and ensuring that they meet the high standards of quality and reliability that users expect.
The weekend must be here because this is the end of Feature Friday! We hope that you’ve gained some insight into how our new updates help provide a better testing experience for our users. But, we won’t take up any more of your sweet, precious weekend time. With the weather finally improving for us here in Chicago, we also hope everyone has a beautiful and safe weekend! Thanks for joining us!
Spring has sprung, and with it, so has Qyrus with its many new features bouncing onto our platform. Understanding the limits of things is important. Whether this thing is a weight limit on a bridge, a person’s limits to a room, or even the limits of your patience when it comes to testing, well, Qyrus has you covered there, too! With our capability to perform functional web load testing, we enable users to get a better understanding of the limits of their website when it comes to performance. Here joining us today are Prince and Tim from our squad to provide more insight into what exactly it is we do with load-testing, web applications on Qyrus.
Tell us more about the functional web load testing offered by Qyrus and its use cases.
Prince: This feature allows the tester to test the performance of their website by running scripts in parallel for the given number of users specified. This allows the testers to further stress test their website for performance issues.
Tim: There’s no doubt that the performance of a website is extremely important for how successful it will be as well as how good the overall user experience is. Waiting around for pages to load is a pain, and anything that takes more than a few seconds to load is just downright unacceptable. Users often leave the website, opting to look for something else that loads quicker.
What is functional web load testing’s overall impact on the testing process?
Prince: Overall, this mainly has the benefit of speeding up the load and performance testing. Enabling the tester to quickly perform load tests using the same infrastructure they use to perform functional tests helps speed up the amount of testing covered.
Tim: Exactly, Prince hit the proverbial nail on the head. At Qyrus, reusability is a top priority and a main driving factor in our view on testing and how it should be done.
How might this feature help testers, developers, and business technologists? What value can this feature bring?
Tim: Because of how quick and easy Qyrus is to not only get started on but also to use overall, less technical or testing-oriented users have a much easier time of performing these tasks. Instead of having to rely on a tester who has deep knowledge of certain tools that would aid in performance or load testing, users can quickly build a load test and execute one on their own.
Prince: Testers can get to know where the application breaks and after how many parallel executions or users accessing the site. This, in turn, can be given in the form of feedback to the development crew and furthermore to the business analysts or technologists that might also find this information useful.
Does the same or similar functionality exist without Qyrus, and how do competitors address similar problems?
Prince: In my opinion, until now, others might have used tools like JMeter to put load on the specific URL, but not performing the whole test as it is. This makes a huge difference because the user has the ability to test a certain functionality and load test it at the same time.
Tim: And, in the future, we plan on adding additional insights on how the website is able to handle these load tests.
How do you see this feature impacting day-to-day operations across organizations?
Prince: Since users can just reuse the same scripts they built in the regular Web Testing service, they don’t have to take the time to rebuild any of their scripts, which can cut down a lot of time doing repetitive tasks.
Tim: Furthermore, the user can also parameterize these load tests, which enables more test coverage using a data-driven testing methodology.
And here, we have reached the limit of today’s Feature Friday! We hope you have gained some insightful knowledge about how Qyrus can be utilized to help benefit your testing needs. Being simple, smart, and scalable are the core pillars of our belief here at Qyrus, and helping to make your testing simpler, smarter, and more scalable – no matter the kind – is at the forefront of our concerns. We hope you enjoyed it, and consider joining us next week for another edition of Feature Friday!
Grocery shopping is one of the few things people share in common. Whether it is going to your local fruit and produce market, or the large-scale warehouses, the process is fairly linear. It begins by identifying needs and what is missing, then creating a list, ending with purchases that are coordinated with the previously created list. It sounds simple enough, but the issues can compound when the list of groceries does not match the actual groceries purchased, leaving one without milk for a week but double the eggs.
A similar process occurs within API contract testing. In essence, there is an API call to transfer some data from the server to the client. The fundamentals of contract testing state that both the client side and the server side create a contract, or, for the sake of example, a grocery list. At the end of the given transaction or data transfer process, both the client and server sides of the API call have comparable grocery lists. In the event of any missing grocery items or, in this case, required API data, the issue can be quickly identified on the server or client side. In this week’s Feature Friday, Brett and Suraj will talk about Schema Validation, a unique Qyrus feature built into Qyrus’ API testing that gives you an early indication of contract issues.
Tell us more about Schema Validation offered by Qyrus and its use cases.
Suraj: Schema validation allows users to test the format of a given API response. In essence, if there is a range of required responses, a certain set of order to those responses, or any general format or structuring to a given API response, the desired schema can be uploaded and then tested concerning the schema that comes from the API response.
Brett: Exactly, it’s a unique form of contract testing. Rather than gathering contracts from both the client and server side upon execution and then comparing them, we are simply allowing testers to take an already finalized schema, upload it to the Qyrus platform, and ensure that the API call is responding per that schema. In doing so, you are constantly testing the server-side response for structure, and content, ensuring that when an API is called and thus data is transferred, the data structure coming in from the server is correct in format and content.
What is Schema Validation’s overall impact on the testing process?
Brett:
Schema validation has an interesting impact on the testing process. Built into the functional API testing service, schema validation is the highest level of functional testing. In essence, testing that the API response is standard to a given data structure, includes all data requirements, and fits the desired schema. Before adding any assertions across individual portions of the API response, performing a holistic check or schema validation can provide a bird’s-eye view of the response patterns and ensure from a high level that no part of the API response goes against the desired structure.
Suraj:
Exactly, as a high-level check, this saves both time and resources, but furthermore, it denotes similar insight as to contract testing. In this case, if the schema validation fails, then a server-side error can be noted. In essence, this is a clear indicator of where exactly an API response fails to meet the schema criteria, allowing for an easy path to troubleshooting and understanding exactly where this data transfer process is failing. Which API call or within a given API call has a portion of the schema that has been violated, pointing to a corrupt, mislabeled, or incorrect data response from the API?
How might Schema Validation help testers, developers, and business technologists? What value can this feature bring?
Brett:
We often see testers utilizing this feature the most, as they are typically the ones responsible for backend and API testing. It truly simplifies the API testing process for testers, as the alternative is having to run either standalone contract tests or add assertions across every portion of the API response. Individual contract testing requires a large overhead and resource requirement, and excessive assertions can weigh down test scripts, causing delays, latency, and entirely disregarding best practices. Instead of having to do either of those things, testers can now simply identify the desired schema, utilizing a built-in schema extractor, and paste the schema into the script, now testing the structure, response types, and overall format of the API response.
Suraj:
Developers can also utilize the feature to ensure APIs are built properly and respond with consistent data and formatting during development. Regardless of whether applications are in beta, fully developed, or features are being tested, running schema validation provides a high-level understanding of data types and formats, ultimately validating application functionality.
Brett:
Though it can be considered out of scope for business analysts to do back-end API testing, let alone contract testing, schema validation builds the bridge that enables business analysts to dive into the back-end testing process. Primarily with a built-in Schema generator, the building of these tests is a simple copy-and-paste functionality. Furthermore, built into a low-code, no-code solution, it is simple to both visualize the test script and identify inconsistencies, without a dense background in coding languages, backend testing, or development.
Does the same or similar functionality exist without Qyrus, and how do competitors address similar problems?
Suraj:
Contract testing is readily available throughout the testing and quality assurance spaces. Furthermore, the need for contract testing has never been more imminent. That being said, schema validation is more of a unique feature set. Taking the overhead out of required contract creation and validation across the server and client side allows you to simply insert the proper schema ahead of time and test it against the API response already within your functional script optimizes script, building while yielding the same results as a contract test.
Brett:
Exactly, no need to create the live contract from the server side, then do the same from the client side, then go so far as to compare both contracts for validity takes resources, and time, and slows down the test building and execution process. Schema validation with Qyrus is a subset of functional testing. Place schema validation within functional testing assertions across the API header, body, and JSON path.
How do you see Schema Validation impacting day-to-day operations across organizations?
Brett:
Schema validation is a high-impact solution that provides a high-level view of the API response body. This level of validation regarding the structure and data format provides great insight into the entire API response and data transfer process. Being able to get this level of insight within functional testing also simplifies the test-building process.
Suraj:
Furthermore, providing a good insight in terms of API formatting, and proper API data transfer, while validating the proper schema to an actual API response optimizes the test execution process as well. Taking what would be a three-part process in contract testing and yielding similar API information while only doing a single comparison decreases test execution times and makes the entire API testing process significantly more efficient.
Grocery shopping and contract testing require a great deal of understanding. In this case, where contract testing would require a grocery list from home, another from the store, and waiting until after the groceries have been purchased to compare, Qyrus’ schema validation simply asks for a single, comprehensive shopping list, doing a single comparison during checkout. By streamlining contract testing and providing the same data and reporting while simplifying the test-building process, Qyrus’ schema validation capabilities provide a unique solution to an existing requirement. Join us next week as we continue to dive into the unique features and functionalities of Qyrus that redefine testing and quality assurance.
Gold Sponsors Booth #35 Join us for STAREAST 2023!
When: April 30th – May 5th, 2023 | #STAREAST Where: Orlando, FL + ONLINE
We are excited to announce that we are a gold sponsor for the upcoming STAREAST 2023 event!
As a gold sponsor, Qyrus is proud to support this event and looks forward to connecting with attendees and sharing our latest innovations in software testing. Whether you join us in person or online, we look forward to connecting with you all and sharing our new use cases in software testing across industries.
STAREAST is one of the most prestigious software testing conferences in the world, bringing together leading experts and professionals in the field of software testing and quality assurance.
This year’s event promises to be even bigger and better than ever, with an incredible line-up of keynote speakers, informative sessions, and networking opportunities.
Don’t miss out on this must-attend event – mark your calendars for April 30th to May 5th, 2023 and join us at #STAREAST!
Speaker Bio: Ameet Deshpande is an Engineering generalist and a builder at heart with a focus on Quality Engineering, Product Engineering, Product Management, cross-functional team building and Agile.
He has been involved in many strategic initiatives at Quinnox and its clients, especially in Financial Services with primary experience in Quality Engineering, Cloud, SaaS, and AI. He was also involved in large-scale transformation programs as part of a consulting & architecture group within one of the top 10 Banks in the world.
Topic: The Rise of AI Bots: Strategies for Effective Testing & Quality Assurance
Date: Wednesday, May 3rd, 2023
Time: 11:30 am –12:30 pm PST
Description: COVID-19 has accelerated the development of contactless solutions. With bots/conversational interfaces being the most preferred way of quickly deploying self-service tech, the popularity of ChatGPT has proven that conversational interfaces are the most natural way of interacting with apps and the internet.
Key aspects of any AI-based bots are their ability to understand the user’s intent and provide the right solution. With the advent of highly effective language models, it has become easier to build AI-based bots, but testing these bots is still done through scripted manual & automated testing. The conventional testing techniques are suitable for testing deterministic systems but do not suit AI-based systems well. The impact of AI on SDLC is inevitable, and Software testing is no exception.
This talk introduces a novel way of using AI to test AI using transformers which completely eliminates the need for reactive testing of bots through direct integration with Bot-building platforms, thereby cutting down the testing effort by > 60%.
