🚨 Development is moving faster than testing can keep up. That gap is something many engineering and QA leaders are already seeing. More code is being shipped, but not everything is being properly validated before release. TestGPT from Software Velocity Corp. focuses on a key idea. Testing should reflect how software is supposed to behave, not just what the code happens to do. Instead of working from code alone, it uses requirements, workflows, and system context. This helps generate test assets that are aligned to real user behavior and business intent. It also addresses common issues like fragmented requirements, testing bottlenecks, and limited test windows. Check it out.👉https://lnkd.in/e62Vkdj3 #SoftwareTesting #QualityEngineering #TestAutomation #AITesting #TestGPT #QALeadership #DevOps #ContinuousTesting #TestStrategy #SoftwareQuality
The idea of generating tests from requirements instead of code makes sense — but what happens when the requirements themselves are vague, incomplete or just wrong? Is there any mechanism to detect that before the test generation starts? In my experience that's often where the real problem lives.
This sounds exactly like what the industry needs - except..... How often do we get requirements with any detail? Same with workflows and system contexts? I'll be listening to find out more - it's intriguing - but not sure if it's realistic in todays world......