Computational Intelligence for Software Engineering Lab
Our research focuses on the exciting intersection between software engineering and machine intelligence. We try to improve developer productivity with optimisation and automation. COINSE has world-leading expertise in automated debugging, automated testing, and testing of DNN models.
Our paper proposing an LLM-based autonomous agent for GUI testing was accepted to ICST 2024. [more...]
Our paper proposing a Bayesian framework to understand automated debugging techniques was accepted to ISSTA'23. [more...]
This paper is about finding bug-inducing commits by combining fault localisation and commit history mining. [more...]
Our paper about generating bug-reproducing tests from bug reports was accepted to ICSE'23. [more...]
Jinhan Kim successfully defended his PhD - the third to do so from COINSE. [more...]
A COINSE paper about fault diagnosability gain has been accepted at ISSTA 2022. [more...]