计算机科学 ›› 2021, Vol. 48 ›› Issue (5): 75-85.doi: 10.11896/jsjkx.200900062
张久杰1, 陈超1, 聂宏轩1, 夏玉芹1, 张丽萍2, 马占飞1
ZHANG Jiu-jie1, CHEN Chao1, NIE Hong-xuan1, XIA Yu-qin1, ZHANG Li-ping2, MA Zhan-fei1
摘要： 克隆代码研究与软件工程中的各类问题密切相关。现有的克隆代码稳定性研究主要集中于克隆代码与非克隆代码的比较以及不同克隆代码类型之间的比较,少有研究对克隆代码的稳定性与克隆群所分布的面向对象类进行相关分析。基于面向对象类的粒度进行了克隆群稳定性实证研究,设计了4项与克隆群稳定性相关的研究问题,围绕这些研究问题,将克隆群分为类内、类间和混合3组,并基于4种视角下的9个演化模式进行了克隆群稳定性的对比分析。首先,检测软件系统所有子版本中的克隆代码,识别并标注所有克隆代码片段所属的类信息;其次,基于克隆片段映射方法完成相邻版本间克隆群的演化映射和演化模式的识别与标注,并将映射和标注结果合并为克隆代码演化谱系;然后,在不同视角下,针对3组克隆群进行稳定性计算;最后,根据实验结果对比分析了3组克隆群的稳定性差异。在7款面向对象开源软件系统总共近7 700个版本上进行的克隆群稳定性实验结果表明:约60%的类内克隆群的生命周期率达到50%及以上,类间克隆和混合克隆群的生命周期率达到50%及以上的占比均约为35%;类内克隆群发生变化的次数最少,类间克隆群发生合并、分枝和延迟修复演化模式的次数相对略多,混合克隆群发生片段减少、内容一致变化和不一致变化的次数最多。总体而言,类内克隆群的稳定性表现最佳,混合克隆群在演化中可能需要重点跟踪或优先重构。克隆代码稳定性分析方法及实验结论将为克隆代码的跟踪、维护以及重构等克隆管理相关软件活动提供有力的参考和支持。
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| [1]ROY C K,ZIBRAN M F,KOSCHKE R.The Vision of Software Clone Management:Past,Present,and Future (Keynote Paper)[C]//2014 Software Evolution Week-IEEE Conference on Software Maintenance,Reengineering,and Reverse Engineering.IEEE,2014:18-33. [2]KIM M,SAZAWAL V,NOTKIN D,et al.An Empirical Study of Code Clone Genealogies[C]//Proceedings of the 10th European Software Engineering Conference Held Jointly with 13th ACM SIGSOFT International Symposium on Foundations of Software Engineering.ACM SIGSOFT,2005:187-196. [3]WALKER A,CERNY T,SONG E.Open-Source Tools andBenchmarks for Code-Clone Detection:Past,Present,and Future Trends[J].ACM SIGAPP Applied Computing Review,2020,19(4):28-39. [4]FARAM F,SAINI V,YAND D,et al.On Precision of Code Clone Detection Tools[C]//2019 IEEE 26th International Conference on Software Analysis,Evolution and Reengineering (SANER).IEEE,2019:84-94. [5]AIN Q U,BUTT W H,ANWAR M W,et al.A Systematic Review on Code Clone Detection[J].IEEE Access,2019,7:86121-86144. [6]ROY C K,CORDY J R.NICAD:Accurate Detection of Near-Miss Intentional Clones Using Flexible Pretty-Printing and Code Normalization[C]// Proceedings of the 16th IEEE International Conference on Program Comprehension.IEEE,2008:172-181. [7]SAHA R K,ROY C K,SCHNEIDER K A.gCad:A Near-Miss Clone Genealogy Extractor to Support Clone Evolution Analysis[C]//2013 IEEE International Conference on Software Maintenance.IEEE,2013:488-491. [8]BAKOTA T.Tracking the Evolution of Code Clones[C]//International Conference on Current Trends in Theory and Practice of Computer Science.Berlin,Heidelberg:Springer,2011:86-98. [9]BARBOUR L,KHOMH F,ZOU Y.Late Propagation in Soft-ware Clones[C]//2011 27th IEEE International Conference on Software Maintenance (ICSM).IEEE,2011:273-282. [10]ZHANG J J,ZHAI Y,WANG C H,et al.Evolution Pattern Recognition and Genealogy Construction Based on Clone Mapping of Versions[J].Journal of Computer Applications,2016(7):2021-2030. [11]ZIBRAN M F,ROY C K.Conflict-Aware Optimal Scheduling of Code Clone Refactoring:A Constraint Programming Approach[C]// Proceedings of the 19th International Conference on Program Comprehension.IEEE,2011:266-269. [12]KRINKE J.Is Cloned Code More Stable than Non-Cloned Code?[C]// Proceedings of the 8th IEEE International Working Conference on Source Code Analysis and Manipulation.IEEE,2008:57-66. [13]KRINKE J.Is Cloned Code Older than Non-Cloned Code?[C]//Proceedings of the 5th International Workshop on Software Clones.ACM,2011:28-33. [14]GÖDE N,HARDER J.Clone Stability[C]// Proceedings of the 15th European Conference on Software Maintenance and Reengineering.IEEE,2011:65-74. [15]MONDAL M,ROY C K,SCHNEIDER K A.An EmpiricalStudy on Clone Stability[J].ACM SIGAPP Applied Computing Review,2012,12(3):20-36. [16]LOZANO A,WERMELINGER M.Tracking Clones' Imprint[C]//Proceedings of the 4th International Workshop on Software Clones.IEEE,2010:65-72. [17]LOZANO A,WERMELINGER M.Assessing the Effect ofClones on Changeability[C]//International Conference on Software Maintenance.IEEE,2008:227-236. [18]MONDAL M,ROY C K,SCHNEIDER K A.Bug propagation through code cloning:An empirical study[C]//2017 IEEE International Conference on Software Maintenance and Evolution (ICSME).IEEE,2017:227-237. [19]RAHMAN M S,ROY C K.On the Relationships Between Stability and Bug-Proneness of Code Clones:An Empirical Study[C]//Proceedings of the 17th International Working Conference on Source Code Analysis and Manipulation (SCAM).IEEE,2017:131-140. [20]BARBOUR L,KHOMH F,ZOU Y.An Empirical Study ofFaults in Late Propagation Clone Genealogies[J].Journal of Software:Evolution and Process,2013,25(11):1139-1165. [21]SAJNANI H,SAINI V,LOPES C V.A Comparative Study of Bug Patterns in Java Cloned and Non-Cloned Code[C]// Proceedings of the 14th International Working Conference on Source Code Analysis and Manipulation.IEEE,2014:21-30. [22]MONDAL M,ROY C K,SCHNEIDER K A.Bug-Proneness and Late Propagation Tendency of Code Clones:A Comparative Study on Different Clone Types[J].Journal of Systems and Software,2018,144:41-59. [23]ELISH M O.On the Association Between Code Cloning and Fault-Proneness:An Empirical Investigation[C]//2017 Computing Conference.IEEE,2017:928-935. [24]LIN Y,XING Z,PENG X,et al.ClonePedia:Summarizing Code Clones by Common Syntactic Context for Software Maintenance[C]//2014 IEEE International Conference on Software Maintenance and Evolution.IEEE,2014:341-350. [25]MANN H B,WHITNEY D R.On a Test of Whether One of Two Random Variables is Stochastically Larger Than the Other[J].The Annals of Mathematical Statistics,1947,18(1):50-60. [26]WALLACE D L.Simplified Beta-Approximations to theKruskal-Wallis H Test[J].Journal of the American Statistical Association,1959,54(285):225-230. |
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