InfoQ

Leapwork Research Shows Why AI in Testing Still Depends on Reliability, Not Just Innovation

Leapwork recently released new research showing that while confidence in AI-driven software testing is growing rapidly, accuracy, stability, and ongoing manual effort remain decisive factors in how ...

Enterprises achieve 50% faster testing cycles with AI-driven autonomous quality assurance

Real-world deployments show 40% test cycle efficiency improvement, 50% faster regression testing, and 36% infrastructure cost savings.
IEEE

Synergizing Human-AI Cooperation in Automated Software Testing: A Balance for Enhanced Efficiency, Reliability, and Trust

Abstract: Achieving reliable and trustworthy automated software testing requires a synergistic approach that leverages both human expertise and AI capabilities. This position paper argues that active ...
IEEE

Comparing the Adaptability of a Genetic Algorithm and an LLM-Based Framework for Automated Software Test Data Generation: In the Context of Web Applications

Abstract: In the fast-paced world of software development, ensuring software quality is paramount. Software Quality Assurance (SQA) plays a vital role, primarily through testing, which can be carried ...