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Talk to any industry insider, and they’ll tell you that the landscape of software testing is undergoing a paradigm shift that’s rendering many existing practices inadequate. The pace of software ...

The majority of software development teams believe they don’t test well. They understand that the effect of quality defects is substantial, and they invest heavily in quality assurance, but they still ...

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

As the founder and CEO of an automated software testing company, I’ve been following the trends in this space closely, and it's exciting to see that the automation testing market is estimated to more ...

Machine learning (ML) is a subset of artificial intelligence (AI) that involves using algorithms and statistical models to enable computer systems to learn from data and improve performance on a ...

Test-Driven Development (TDD) represents an iterative software development strategy in which developers author automated tests before writing the corresponding production code. This methodology is ...