
Computational Intelligence for Software Engineering Lab
Our research focuses on the exciting intersection between software engineering and the emerging AI technologies. We study state-of-the-art AI techniques for software engineering problems, and have world-leading expertise in automated debugging, testing, and agentic solutions. We also bring our software engineering expertise to the new generation of AI-based software systems, and lead the work on designing and testing of LLM-based agents.
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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