AgentSZZ is an LLM-agent framework that identifies bug-inducing commits with up to 27.2% higher F1 scores than prior methods by enabling adaptive exploration and causal tracing, especially for cross-file and ghost commits.
Are automated debugging techniques actually helping programmers?
3 Pith papers cite this work, alongside 571 external citations. Polarity classification is still indexing.
3
Pith papers citing it
571
external citations · external index
citation-role summary
background 1
citation-polarity summary
fields
cs.SE 3years
2026 3roles
background 1polarities
background 1representative citing papers
DebugTracker is a VS Code extension that captures structured, append-only debugging-process evidence for classroom tasks, separating coached practice from uncoached assessment.
Empirical evaluation of augmenting statistical fault localization with execution features extracted by EFDD and mapped via random-forest importances on Tests4Py subjects.
citing papers explorer
-
AgentSZZ: Teaching the LLM Agent to Play Detective with Bug-Inducing Commits
AgentSZZ is an LLM-agent framework that identifies bug-inducing commits with up to 27.2% higher F1 scores than prior methods by enabling adaptive exploration and causal tracing, especially for cross-file and ghost commits.
-
DebugTracker: Lightweight Process Evidence for Classroom Debugging
DebugTracker is a VS Code extension that captures structured, append-only debugging-process evidence for classroom tasks, separating coached practice from uncoached assessment.
-
How do Execution Features Improve Statistical Fault Localization? An Empirical Study
Empirical evaluation of augmenting statistical fault localization with execution features extracted by EFDD and mapped via random-forest importances on Tests4Py subjects.