In some ways, data and its quality can seem strange to people used to assessing the quality of software. There’s often no observable behaviour to check and little in the way of structure to help you ...

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 ...

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 ...

Comprehensive quality engineering and testing are a must for today's software-driven organizations. Perhaps not surprisingly, generative artificial intelligence (Gen AI) is emerging as a cutting-edge ...

In healthcare software, quality is inseparable from compliance. A feature working as designed is not enough. Every workflow, integration, and data exchange must protect Protected...Read More The post ...

Test data management (TDM) is a crucial practice for ensuring compliant data and providing uniformity to test data. In the same way testing environments and data models are continuously evolving, test ...

Deepak Gupta, VP Engineering at Cars24. Specializes in FinTech, AI/ML, E-comm, digital transformation, business strategy and revenue growth. Software systems are getting more complex, like a giant ...

I jumped into a van to see how RootMetrics conducts 100 million tests per year to track carriers' network strength. Jessica Dolcourt VP, Content Operations and Commerce, CNET Group and CNET Labs ...

It’s a generally accepted maxim that the business community’s fascination with big data, which started in the mid-2000s, ran out of steam about five years ago. But that’s only partly true. While the ...