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

When evaluating AI for testing, prioritize approaches that keep teams in control and maintain end-to-end testing connectivity.

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 ...

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 ...

As enterprises rethink their testing strategies, many teams are reviewing AI test automation tools that can help modernize QA ...

Quality assurance teams across modern software development face a new reality. AI enabled applications do not behave like traditional systems. Outputs shift based on context....Read More The post ...