A prompt-refinement-filtering LLM pipeline is reported to catch 93-96% of impacted requirements while asking engineers to review only 2-9% of the requirement set.
1996.Software change impact analysis
2 Pith papers cite this work. Polarity classification is still indexing.
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An empirical study finds that injecting call/inheritance topology as comments improves LLM code agent localization by 2.2pp, shortens trajectories by 1.6 rounds, and halves run-to-run variance on medium repositories via a deterministic anchoring effect.
citing papers explorer
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LLM-Driven Cost-Effective Requirements Change Impact Analysis
A prompt-refinement-filtering LLM pipeline is reported to catch 93-96% of impacted requirements while asking engineers to review only 2-9% of the requirement set.
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How Much Static Structure Do Code Agents Need? A Study of Deterministic Anchoring
An empirical study finds that injecting call/inheritance topology as comments improves LLM code agent localization by 2.2pp, shortens trajectories by 1.6 rounds, and halves run-to-run variance on medium repositories via a deterministic anchoring effect.