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 software development process has witnessed a paradigm shift in the last few years. Agile delivery is now a basic expectation of business, and incremental marketable functionality is a norm. In ...

Because testing becomes a whole life cycle approach, a fundamental shift occurs with respect to test assets. As opposed to traditional processes where assets differ in implementation, definition and ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

In the lifecycle of software applications, thorough evaluation and verification are crucial. Detecting defects is paramount to prevent malfunctions and system disruptions that can lead to customer ...

Ashwini Shivarudra is a highly skilled Software Quality Analyst with over 14 years of extensive experience in all phases of the Software Development Life Cycle (SDLC) and Software Testing Life Cycle ...

Every enterprise struggles to combat some ingrained partialities but, after 23 years in the QA industry, I’ve found that there’s a particular pattern of bias against static testing. It’s no industry ...

The ALM software market is expanding, driven by agile, DevOps, AI integration, and cloud-based solutions. Opportunities lie in SaaS, low-code, mobile, and AI-driven innovations, with high demand in IT ...