Refactoring Graphs: Assessing Refactoring over Time
March 10, 2020 Β· Declared Dead Β· π IEEE International Conference on Software Analysis, Evolution, and Reengineering
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Authors
Aline Brito, Andre Hora, Marco Tulio Valente
arXiv ID
2003.04666
Category
cs.SE: Software Engineering
Citations
26
Venue
IEEE International Conference on Software Analysis, Evolution, and Reengineering
Last Checked
4 months ago
Abstract
Refactoring is an essential activity during software evolution. Frequently, practitioners rely on such transformations to improve source code maintainability and quality. As a consequence, this process may produce new source code entities or change the structure of existing ones. Sometimes, the transformations are atomic, i.e., performed in a single commit. In other cases, they generate sequences of modifications performed over time. To study and reason about refactorings over time, in this paper, we propose a novel concept called refactoring graphs and provide an algorithm to build such graphs. Then, we investigate the history of 10 popular open-source Java-based projects. After eliminating trivial graphs, we characterize a large sample of 1,150 refactoring graphs, providing quantitative data on their size, commits, age, refactoring composition, and developers. We conclude by discussing applications and implications of refactoring graphs, for example, to improve code comprehension, detect refactoring patterns, and support software evolution studies.
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