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 the use of machine learning and language models in software engineering automation.
Recent Updates
Apr 21, 2026
Atropos can perform early terminations of unsuccessful LLM inferences; further, it can migrate existing contexts to stronger model to save the inference.
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Dec 22, 2025
We can now measure task-specific surprise adequacy for LLM inputs.
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Dec 5, 2025
The latest collaboration on large scale crash localisation between COINSE and SAP has been accepted into ICSE SEIP 2026.
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Nov 12, 2024
Automated Scientific Debugging research accepted into EMSE.
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Oct 10, 2024
COINSE/SAP collaboration wins Best Industry Paper award at ICSME 2024.
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Sep 3, 2024
Our paper about detecting flaky test executions will appear at ICSME 2024.
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