Times are changing fast. Take the automotive industry for example. Software has evolved far beyond infotainment, now controlling everything in the car, including braking and steering for the driver.

Explore how AI is making software testing critical to national security, protecting infrastructure, finance, healthcare, and defense systems.

The software testing landscape is undergoing a seismic shift. For years, continuous automation testing (CAT) platforms have been the gold standard for reducing manual testing and ensuring ...

As we look ahead to 2023, it’s clear that the field of software testing is on the cusp of significant changes. With the rapid pace of technological advancement and the increasing complexity of ...

Software testing, verification and validation form the backbone of modern software quality assurance. These interrelated activities ensure that a software system accurately implements its intended ...

In today's fast-paced world of software development, automation has become a cornerstone of testing, ensuring quality and efficiency amidst increasingly complex applications. With faster release ...

In the midst of industry discussions about productivity and automation, it’s all too easy to overlook the importance of properly reckoning with complexity. Provided byThoughtworks Technology Radar is ...

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 ...

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 ...

Using AI to test complexity in modern banking platformsBy Stephen Platten, Principal Consultant, Inspired TestingIssued by Inspired TestingJohannesburg, 24 Mar 2026 Stephen Platten, Principal ...

India’s software testing landscape is undergoing a profound transformation. What was once dominated by structured manual testing processes has rapidly evolved into a dynamic, AI-driven ecosystem.