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.
Recent Updates
Apr 24, 2024
Our paper about using LLMs to automatically locate which part of the code is responsible for a bug was accepted to FSE'24.
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Dec 29, 2023
Our paper proposing an LLM-based autonomous agent for GUI testing was accepted to ICST 2024.
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May 3, 2023
Our paper proposing a Bayesian framework to understand automated debugging techniques was accepted to ISSTA'23.
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Dec 14, 2022
This paper is about finding bug-inducing commits by combining fault localisation and commit history mining.
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Dec 12, 2022
Our paper about generating bug-reproducing tests from bug reports was accepted to ICSE'23.
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Dec 9, 2022
Jinhan Kim successfully defended his PhD - the third to do so from COINSE.
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