QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

Abstract: Exponential growth of unstructured data in the form of text documents, emails, and web content presents a noticeable challenge to automated data extraction. This kind of data has much more ...

The adoption of automation in software testing presents challenges that can hinder its effectiveness and scalability. This study systematically investigates these challenges using a multi-phase ...

NI LabVIEW+ Suite introduces code completion and other powerful capabilities to redefine test development productivity and ...

LinkedIn has rebuilt its static application security testing (SAST) pipeline using GitHub Actions and custom workflows, ...