Do LLMs Generate Useful Test Oracles? An Empirical Study with an Unbiased Dataset

Gesellschaft für Informatik (GI) 2026 Open access

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Authors: Davide Molinelli, Luca Di Grazia, Alberto Martin-Lopez, Michael D. Ernst, Mauro Pezzè
DOI: 10.18420/se2026_11
Cited by: 0

Abstract

In this article, we summarize our paper Do LLMs Generate Useful Test Oracles? An Empirical Study with an Unbiased Dataset [Mo25], which has been recently accepted for presentation at the 40th IEEE/ACM International Conference on Automated Software Engineering (ASE).

Fields of Study & Subjects

Software Testing and Debugging Techniques Software Engineering Research Software Engineering Techniques and Practices

Publication details

Journal / source
Gesellschaft für Informatik (GI)
Publication date
1 January 2026
Language
EN