Objectives To examine the accuracy and impact of artificial intelligence (AI) software assistance in lung cancer screening using CT. Methods A systematic review of CE-marked, AI-based software for ...

Abstract: As the new “Tools” column editor, I’m excited to kick off this role by exploring one of the most rapidly evolving areas in software engineering: AI-powered testing tools. These tools promise ...

Abstract: Robustness testing is crucial for verifying autonomous vehicles, especially for safety-critical deep learning components like light detection and ranging (LiDAR) object detectors.

Abstract: Embedded software commonly executes safety-critical tasks and thus is expected to be highly reliable, which calls for stronger quality assurance techniques. As a fault-based testing ...

Abstract: Software sustainability is becoming critical due to the increased use of software systems. Despite gaining attention from researchers over the last decade, there remains no consensus within ...