Search-based Refactoring Using Recorded Code Changes

被引：37
作者：
Ouni, Ali [1 ,2 ]
Kessentini, Marouane [2 ]
Sahraoui, Houari [1 ]
机构：
[1] Univ Montreal, DIRO, Montreal, PQ H3C 3J7, Canada
[2] Missouri Univ Sci & Technol, CS, Rolla, MO 65409 USA
来源：
PROCEEDINGS OF THE 17TH EUROPEAN CONFERENCE ON SOFTWARE MAINTENANCE AND REENGINEERING (CSMR 2013) | 2013年
关键词：
Search-based Software Engineering; Refactoring; Software Maintenance; Multi-objective Optimization;
D O I：
10.1109/CSMR.2013.31
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Over the past decades, many techniques and tools have been developed to record the sequence of applied refactoring to improve design quality. We start from the observation that these recorded code changes can be used to propose new refactoring solutions in similar contexts. In addition, this knowledge can be combined with structural and semantic information, used by existing work, to improve the automation of refactoring. In this paper, we propose a multi-objective optimization approach to find the best sequence of refactorings that maximizes the use of refactoring applied in the past to similar contexts, minimizes semantic errors and minimizes the number of defects (improve code quality). To this end, we use the non-dominated sorting genetic algorithm (NSGA-II) to find the best trade-off between these three objectives. We report the results of our experiments on different open source java projects.
引用
收藏
页码：221 / 230
页数：10
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