Why Test Environments Fail—and What Top Teams Do to Avoid the Chaos

Test environments don’t fail because teams lack discipline or automation. They fail because dependent systems evolve faster ...
IEEE

CND: Detecting Functionally Irrelevant Code Changes for Improving Regression Testing

Abstract: Software regression testing is a crucial phase for maintaining software quality. To optimize the cost and efficiency of regression testing, selective test case generation and selection have ...

Why Manual Testing Still Matters in an AI World & How to Modernize It

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 ...

Mobisoft Infotech Introduces AI-Augmented Engagement Model to Deliver Faster Outcomes with Leaner Teams

New delivery model applies AI across engineering, testing, DevOps, and analytics to improve speed, transparency, and ...

Enterprises achieve 50% faster testing cycles with AI-driven autonomous quality assurance

Real-world deployments show 40% test cycle efficiency improvement, 50% faster regression testing, and 36% infrastructure cost savings.

Calsoft executive reveals AI-driven testing approach cutting software release cycles by 70%

Calsoft introduced an AI-powered approach to Test Impact Analysis that eliminates unnecessary test executions in CI/CD ...
IEEE

Test Case Prioritization for Regression Testing Using Machine Learning

Abstract: In order to make sure that recent code changes haven't negatively impacted the software's current functionalities, regression testing is a crucial maintenance step in the software ...