RefDiff: Detecting Refactorings in Version Histories

April 05, 2017 Β· Declared Dead Β· πŸ› IEEE Working Conference on Mining Software Repositories

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Authors Danilo Silva, Marco Tulio Valente arXiv ID 1704.01544 Category cs.SE: Software Engineering Citations 144 Venue IEEE Working Conference on Mining Software Repositories Last Checked 4 months ago
Abstract
Refactoring is a well-known technique that is widely adopted by software engineers to improve the design and enable the evolution of a system. Knowing which refactoring operations were applied in a code change is a valuable information to understand software evolution, adapt software components, merge code changes, and other applications. In this paper, we present RefDiff, an automated approach that identifies refactorings performed between two code revisions in a git repository. RefDiff employs a combination of heuristics based on static analysis and code similarity to detect 13 well-known refactoring types. In an evaluation using an oracle of 448 known refactoring operations, distributed across seven Java projects, our approach achieved precision of 100% and recall of 88%. Moreover, our evaluation suggests that RefDiff has superior precision and recall than existing state-of-the-art approaches.
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