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

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 we transition towards a digital world, the importance of software is witnessing immense growth. Major global organizations have been investing significantly in creating high-quality software ...

When the first computer bug was discovered in 1947, it was quite literally a moth that had become trapped inside a system at Harvard University that was disrupting the electronics. At that time, the ...

When LambdaTest was founded, the problem it set out to solve was far more contained but with the rise of AI-generated code ...

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 ...

Is quality engineering (QE) an extension of software testing or a complete change in responsibilities? That's a question I want to answer today. As COO of an enterprise test execution cloud platform, ...

Are you grappling with managing your test data in an automation framework? Here’s a fact: effective Test Data Management (TDM) can significantly improve your software testing process. This ...

All eyes have been on OpenAI and its brainchild ChatGPT in recent months. ChatGPT’s ability to understand and respond to complex instructions and deliver detailed responses to user prompts has led to ...

New SmartFox AI capability scores tests by proven impact, ending guesswork of test prioritization. QA teams don't lack ...

LambdaTest, a cloud-based software testing platform, has raised $38 million in a Series D funding round as it looks to expand its presence in existing markets and improve its AI capabilities. The ...