3 papers
cs.SE2024
Lachesis: Predicting LLM Inference Accuracy using Structural Properties of Reasoning Paths
Naryeong Kim, Sungmin Kang, Gabin An +1
Large Language Models are increasingly used to build agents to perform more complex tasks. As LLMs perform more complicated reasoning through longer interactions, self-consistency,…
cs.SE2023
Just-in-Time Flaky Test Detection via Abstracted Failure Symptom Matching
Gabin An, Juyeon Yoon, Thomas Bach +2
We report our experience of using failure symptoms, such as error messages or stack traces, to identify flaky test failures in a Continuous Integration (CI) pipeline for a large in…
cs.SE2023
Learning Test-Mutant Relationship for Accurate Fault Localisation
Jinhan Kim, Gabin An, Robert Feldt +1
Context: Automated fault localisation aims to assist developers in the task of identifying the root cause of the fault by narrowing down the space of likely fault locations. Simula…