Automated Test Case Generation: The process of using algorithmic strategies to automatically create input data for software testing, aiming to achieve specific coverage criteria.

Search-Based Software Testing (SBST): An optimisation framework that utilises metaheuristic algorithms to automatically generate test cases aiming to maximise code coverage and fault detection.

According to IDC, GenAI-based tools will be capable of writing 70% of software tests by 2028 through identifying edge cases that traditional testing might overlook. Generative AI tools can now ...

AI testing platforms can detect anomalies, analyze failure patterns, and identify the root causes of issues with minimal ...

The question is no longer whether gen AI and emerging technologies will elevate the automation of software testing but when and how. However, proponents need to overcome organizational resistance.

Test automation has been pivotal in accelerating software releases, but it came with a high learning curve that limited its reach. No-code testing platforms helped ease that by enabling teams to ...

LambdaTest, a GenAI-native quality engineering platform, has entered a strategic partnership with Lab49, a leading consultancy specializing in strategy, design, and technology for capital markets, to ...

Built on trusted, powerful, and compliance-driven test management, QMetry’s GenAI-enabled platform allows organizations to scale testing efforts, reduce manual tasks, and accelerate release cycles.