Trending

NOW TRENDING AT QA VALLEY

Survey: Adoption of AI Software Testing Slowed by Trust Issues

A new global survey from Leapwork underscores a growing tension in software development: while AI is widely viewed as essential to the future of testing, many teams remain hesitant to rely on it for mission-critical workflows. Based on responses from more than 300 engineers and IT decision-makers, the research indicates that enthusiasm.

read more

The Evolution of QA: From Manual Testing to Automation

Quality Assurance (QA) has come a long way. As software development has grown faster and more complex, the way we test software has had to evolve too. What started as simple manual checks has now expanded into powerful automation-driven processes. Let’s take a closer look at how QA made this.

read more

Six Lessons For Building A Quality Software Testing Culture

With over two decades of experience in software development and testing—and of conversations with industry leaders across the field—I’ve found that many of these challenges can be addressed by building a quality testing culture where speed and stability coexist. Here are six steps to help create that kind of culture:.

read more

Grey Box Penetration Testing: Benefits, Techniques, and Process

With our ever-growing pursuit of shielding our digital worlds, the frequency of cyberattacks continues to escalate, underscoring the critical need for robust cybersecurity. The latest numbers indicate that in 2022 alone, cybercrime was concentrated on a scaling measuring stick of $6 trillion for the overwhelming majority of organizations; this amount.

read more

Maintenance Testing: Types, Challenges & Self-Healing

Maintenance testing is the ongoing effort required to keep software tests relevant, accurate, and executable as applications evolve. For most organizations, this represents the single largest cost in test automation, with teams spending up to 80% of their time fixing broken tests rather than creating new coverage. This guide explores.

read more

How AI-Driven Test Automation Is Redefining Software Quality in 2026

Software quality has always been a moving target. As applications grow more complex, distributed, and user-facing, traditional testing approaches struggle to keep up. In 2026, AI-driven test automation is no longer an experimental idea. It is becoming a foundational part of how engineering teams prevent risk, maintain velocity, and deliver.

read more

AI-Powered Test Automation: Future of Software Quality Assurance Explained

As applications grow increasingly complex and delivery cycles compress, software quality assurance faces unprecedented challenges. Traditional test automation requires substantial manual effort for script design, maintenance, and execution management. Artificial intelligence is fundamentally transforming this landscape by introducing capabilities that learn, adapt, and optimize autonomously. Self-Learning Test Script Generation Modern AI systems eliminate.

read more

12 Types of Functional Testing in Software Testing

Functional testing checks if the software does what the user expects it to do. Here you will get to know about different types of functional analysis which is used during software testing. Each of the types above can be based on features, user actions or system behaviours. These tests help.

read more

Quality at scale: The next phase of GenAI in software testing

Early in the year, weak testing habits show fast. Road maps reset, delivery teams ship “small” changes that touch multiple services, and leadership wants shorter cycles without trading away reliability. Meanwhile, AI features are adding another variable. Behavior can shift with a prompt, model update, or retrieval change, and brittle.

read more