testRigor
Revolutionizing Software QA Testing With Gen AI

When human ingenuity is entwined with the best technology, innovations capable of industry-wide transformation take form.

For testRigor—an automated testing solution provider and software development expert with a long legacy of revolutionizing software testing—adopting Generative AI (Gen AI) marks a new milestone in its innovation journey.

Home to a team of seasoned engineers and data scientists, it has always been at the forefront of improving software testing efficiency through its no-code platform that empowers testers to build test automation via executable specifications using plain English text. The namesake platform has long been an industry standard, with its unrivaled ability to help testers automate tests 15 times faster and spend 200 times less on test maintenance.

Taking its mission a step ahead and more toward the changing industry standards, testRigor is adding the power of Gen AI to its purpose-built platform. This is set to help the QA community jump on the automation bandwagon and redefine software testing efficiency.

“We were already pioneers in plain-text-based test automation. Gen AI’s plain-text to plain-text was a natural next step,” says Artem Golubev, CEO of testRigor. “Our ability to incorporate Gen AI features into the platform stems from our extensive repository of preeminent datasets to train the LLM models.”

The platform’s latest iteration based on this novel AI breakthrough raises the bar high, charting a new course for QA test automation with enhanced speed and accuracy. The functionalities to modify auto-generated test cases empower engineers to build and fine-tune tests to suit their specific requirements.

“We are already pioneers in plain-text-based test automation. Gen AI’s plain-text to plain-text was a natural next step”

Revamping Flexibility to Achieve Testing Finesse

The testRigor platform distinguishes itself with its proven ability to create test cases right out of the box with improved precision and efficiency.

To put things into perspective, consider generating a test case for an e-commerce site based on the title. This is where the testRigor platform surpasses all the standard Gen AI models. Most available solutions are designed to give a sample or the best practices for running a custom test based on a prompt. However, with testRigor, QA personnel can effortlessly build a test case for any UI.

The “add custom test case” feature enables testers to readily write the description and define the steps for execution. For example, a user can specify high-level instructions, such as “find a Kindle and add it to the shopping cart”. The testRigor platform translates the prompt into a set of specific steps and handles the rest.

Users can perform all tasks, from generating the test cases to starting the website and logging into the system under test, within the same environment. The built-in edit option enables them to modify or expand instructions, giving the needed elbow room for addressing roadblocks, apparent AI hallucinations, and test out variations.

The highly intuitive platform also facilitates test cases for monumental and complex scenarios, which might pose a challenge even for an experienced professional. It enables users to combine the regular steps and plain English instructions to outline the intended outcome for challenging test scenarios.

One Platform, Multifaceted Benefits

Simple or complex, test cases built on the platform require up to 99.5 percent less test maintenance. Increased test coverage and reduced test case building time make it a perfect fit for continuous improvement/development (CI/CD) use cases. Offered as a SaaS solution, the platform enables seamless cross-operation between web, mobile, and desktop testing.

The ability to establish abstractions from the implementation details ensures tests remain valid even after refactoring or adding changes to the underlying framework. Its excellent visibility guarantees that the tests accurately target the intended aspects of the application. The result— accelerated release cycles, detailed test results, and better debugging, all without a separate testing infrastructure. This breaks down the scalability barriers and bottlenecks, freeing the QA engineers to perform more resource-intensive tasks.

The platform can also undertake a wide range of tests, including acceptance, regression, system (end-to-end), and 2FA evaluations. It can execute cross-browser and -platform scenarios in a single test while supporting native and hybrid mobile app testing for iOS and Android. All these capabilities render testRigor a viable option for clients across different industry verticals, such as retail, eCommerce, finance, healthcare, and telecommunications.

The Byword for Client-Centricity

Although the platform is easy enough for users to self-serve, testRigor offers white-glove customer support services. The team sets up shared communication channels with MS teams, Slack, or any other preferred means to resolve run-time queries, giving testers easy access to subject matter expertise during complex test case execution. It regularly meets up with clients as part of its business model to gather feedback for platform enhancements. Client requests have played a pivotal role in incorporating Gen AI into the testRigor platform.

“Our client’s input gave us a well-defined outline on how to shape the product for better tangible outcomes,” says Golubev.

This client-focused approach to solution development, combined with the commitment to augmenting testing efficiency, has enabled testRigor to build a platform that even non-coders and new developers can use to author test cases and gain a clear picture of how end users interact with the application in a typical production environment. Every business-critical data is tightly secured as the solution complies with the highest security standards, including SOC2 and HIPAA. The company aims to keep the status quo of gleaning insights from client feedback to stay at the leading edge.

Crafting Tomorrow's QA Landscape

Led by an indomitable spirit of innovation and continuous improvement, testRigor ensures that its development teams are busy releasing an array of new features to further fuel software test automation. The firm aims to minimize human interventions and facilitate more automation while simultaneously increasing the test coverage. This convergence of seemingly conflicting goals is at the heart of testRigor’s pursuit.

As a step forward in this direction, innovation labs at testRigor are working on a comprehensive test case management system that autonomously builds, executes, and manages the software. Another exciting feature in its hopper entails an integration to automatically extract critical information from manually documented test cases. It is gearing up to ensure the platform can seamlessly integrate with packaged solutions like SAP, Salesforce, Microsoft Dynamics, and ServiceNow in the coming years.

Our client’s input gave us a well-defined outline on how to shape the product for better tangible outcomes

Since the company holds access to top-tier datasets and a wealth of insights gathered from the platform's open-source usages, it is poised to roll out an on-premise model as an answer to the growing testing needs in the highly regulated verticals like finance and EdTech. This clear-cut roadmap illustrates testRigor’s commitment to go beyond setting the stage for evolution and facilitate industry-wide revolution.

“Even in partial implementation, automated software testing tools can significantly impact testing efficiency. The latest AI breakthroughs have opened doors to new possibilities,” says Golubev. “To stay ahead of the Gen AI curve, we are keen on resolving the intricate ethical knots and hallucinations apparent with the technology.”

Similar to the steady evolution of self-driving cars, Gen AI will continue to tread on a path toward improvement. testRigor is at the helm, ready to unlock new avenues of the technology and drive positive outcomes for the software QA community.