Artificial intelligence is spreading fast across India, and people already use it to work quicker and cheaper.

The cost of not upping software quality assurance will be evident not only in the marketplace but on a company’s bottom line and in the lives of people.

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

Endpoint protection and response platforms cover everything from AI-powered ransomware detection to insider risk monitoring.

Abstract: Achieving reliable and trustworthy automated software testing requires a synergistic approach that leverages both human expertise and AI capabilities. This position paper argues that active ...

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

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

NI LabVIEW+ Suite introduces code completion and other powerful capabilities to redefine test development productivity and ...

Investing in automated testing and DevOps development services strengthens your software while future-proofing your business.

The latest trends in software development from the Computer Weekly Application Developer Network. This is a guest post for the Computer Weekly Developer Network written by David Colwell in his ...

Abstract: Software testing automation is seeing fast evolution, propelled by innovative developments in artificial intelligence (AI), machine learning (ML), and cloud computing technologies. These ...