The entry of cloud technology in the software world has fundamentally changed how software is built, deployed, and scaled. Traditionally, applications were released only once or twice a year. Today, ...

Introduction Most software teams measure quality using something called test coverage, a percentage that shows how much of the codebase was touched during testing. The higher the number, the safer the ...

From generating test cases and transforming test data to accelerating planning and improving developer communication, AI is having a profound impact on software testing. The integration of artificial ...

Software testing is an essential component in ensuring the reliability and efficiency of modern software systems. In recent years, evolutionary algorithms have emerged as a robust framework for ...

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 ...

Comprehensive quality engineering and testing are a must for today's software-driven organizations. Perhaps not surprisingly, generative artificial intelligence (Gen AI) is emerging as a cutting-edge ...

In our DevOps-driven world of CI/CD pipelines and rapid deployments, it’s easy to assume that automation and now AI have made manual testing obsolete. But the reality is different. Manual testers ...

Everywhere you turn, someone is talking about AI — AI this, AI that. No wonder some people roll their eyes at the mention of artificial intelligence. For some, it’s all smoke and mirrors, just a ...

To address these shortcomings, we introduce SymPcNSGA-Testing (Symbolic execution, Path clustering and NSGA-II Testing), a ...