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20242026
most citedAn Empirical Study on the Impact of Change Granularity in Refactoring Detection

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cs.SE20261 cited

An Empirical Study on the Impact of Change Granularity in Refactoring Detection

Lei Chen, Shinpei Hayashi

Detecting refactorings in commit history is essential to improve comprehension to code changes on code reviews, and to provide valuable information for empirical studies on softwar…

cs.SE2025

ChangePrism: Visualizing the Essence of Code Changes

Lei Chen, Michele Lanza, Shinpei Hayashi

Understanding the changes made by developers when they submit a pull request and/or perform a commit on a repository is a crucial activity in software maintenance and evolution. Th…

cs.SE2025

How Much Can a Behavior-Preserving Changeset Be Decomposed into Refactoring Operations?

Kota Someya, Lei Chen, Michael J. Decker +1

Developers sometimes mix behavior-preserving modifications, such as refactorings, with behavior-altering modifications, such as feature additions. Several approaches have been prop…

cs.SE2024

Understanding Code Change with Micro-Changes

Lei Chen, Michele Lanza, Shinpei Hayashi

A crucial activity in software maintenance and evolution is the comprehension of the changes performed by developers, when they submit a pull request and/or perform a commit on the…

cs.SE2024

MORCoRA: Multi-Objective Refactoring Recommendation Considering Review Availability

Lei Chen, Shinpei Hayashi

Background: Search-based refactoring involves searching for a sequence of refactorings to achieve specific objectives. Although a typical objective is improving code quality, a dif…