Embedding and classifying test execution traces using neural networks

Embedding and classifying test execution traces using neural networks

Abstract 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 executi...

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Bibliographic Details
Main Authors: Foivos Tsimpourlas, Gwenyth Rooijackers, Ajitha Rajan, Miltiadis Allamanis
Format: Article
Language:English
Published: Hindawi-IET 2022-06-01
Series:IET Software
Subjects:
Linux
learning (artificial intelligence)
neural nets
cryptography
program testing
pattern classification
Online Access:https://doi.org/10.1049/sfw2.12038

Internet

https://doi.org/10.1049/sfw2.12038

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