Embedding and classifying test execution traces using neural networks

• Published in: IET software Vol. 16; no. 3; pp. 301 - 316
• Main Authors: Tsimpourlas, Foivos, Rooijackers, Gwenyth, Rajan, Ajitha, Allamanis, Miltiadis
• Format: Journal Article
• Language: English
• Published: Wiley 01.06.2022
• Subjects: cryptography; execution trace; learning (artificial intelligence); Linux; neural nets; neural networks; pattern classification; program testing; software testing; test oracle

Classifying test executions automatically as pass or fail remains a key challenge in software testing and is referred to as the test oracle problem. It is being attempted to solve this problem with supervised learning over test execution traces. A programme is instrumented to gather execution traces...