When LLM-Generated Refactorings Ripple: An Empirical Study of Repository Adoption Readiness
Large Language Models (LLMs) are increasingly used to refactor source files, but file-local evaluations do not reveal changes to contracts, dependencies, or caller assumptions affecting repository adoption. To address this gap, we conduct 1,500 generation attempts across 150 production files from 15 open-source Java repositories, five LLM configurations, and two dependency-aware generation conditions: single-prompt refactoring and LangGraph-based multi-agent refactoring. Of these attempts, 1,455 yield complete candidates eligible for analysis. We evaluate these candidates using local changes, repository-facing structural indicators, detected caller impact, the behavioural-equivalence indi...
| Authors | Muhammad Waseem, Aakash Ahmad, Pekka Abrahamsson |
|---|---|
| Primary category | cs.SE |
| Published | 17 October 2026 |
| Last updated at source | 17 October 2026 |
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