The question is no longer whether gen AI and emerging technologies will elevate the automation of software testing but when and how. However, proponents need to overcome organizational resistance.

The approach toward software testing has drastically changed over the years. It has changed from manual testing to automation frameworks and now to AI-based testing. It isn’t just about increasing ...

AI prompt testing helps teams catch AI failures, prompt drift, safety issues, and production risks before they reach real ...

Software-defined radios, instrumentation and test are ramping up alongside a flood of new technologies related to assisted and autonomous vehicles, 5G, and military/aerospace electronics, breathing ...

Requirements-based testing is a preliminary test strategy used to validate system requirements. It was popularized in the early years of software development, particularly within development teams ...

Synthetic data is a class of data artificially generated through advanced methods like machine learning that can be used when real-world data is unavailable. It offers a multitude of compelling ...

Software resilience testing is a method of software testing that focuses on ensuring that applications perform well in real-life or chaotic conditions. In other words, it tests an application's ...

The real transformation is software engineering evolving into a discipline where humans design systems, govern AI, assure quality and solve business problems.