Abstract
Cloned code, also known as duplicated code, is among the bad “code smells.” Refactoring can be used to remove clones and makes a software system more maintainable. However, there is a problem that causes the output results of the clone code detection tool cannot be directly refactored. The problem is not all the clone groups are suitable for refactoring. To address it, we propose a metric method to identify clone groups that are suitable for refactoring. The results of several large-scale software system studies indicate that our method can significantly increase the accuracy of identifying clone groups that are suitable for refactoring. It is not only beneficial to the following study of refactoring, but also it connects the entire process from clone detection to clone refactoring.
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References
Cai, D., Kim, M.: An empirical study of long-lived code clones. In Proceedings of the 14th International Conference on Fundamental Approaches to Software Engineering: Part of the Joint European Conferences on Theory and Practice of Software, FASE’11/ETAPS’11, pp. 432–446 (2011)
Rahman, M.S., Saha, R.K., Krinke, J. Schneider, K.A., Mondal, M., Roy, C.K.: Comparative stability of cloned and non-cloned code: an empirical study. SAC12 March 25–29 (2012)
Inoue, K., Higo, Y., Kusumoto, S.: Identifying refactoring opportunities for removing code clones with a metrics-based approach. Create Space (Nov 30, 2011)
Juergens, E., Deissenboeck, F., Hummel, B., Wagner, S.: Do code clones matter? In: Proceedings of the 31st International Conference on Software Engineering, ICSE’09, pp. 485–495 (2009)
Roy, C.K., Cordy, J.R., Koschke, R.: Comparison and evaluation of code clone detection techniques and tools: a qualitative approach. Sci. Comput. Program. 74(7), 470–495 (2009)
Li, Z., Lu, S., Myagmar, S., Zhou, Y.: CP-miner: finding copy-paste and related bugs in large-scale software code. IEEE Trans. Software Eng. 32(3), 176–192 (2006)
Lozano, A., Wermelinger, M.: Tracking clones’ imprint. In: Proceedings of the 4th International Workshop on Software Clones, IWSC’10, pp. 65–72 (2010)
Lozano, A., Wermelinger, M.: Assessing the effect of clones on changeability. In: IEEE International Conference on Software Maintenance ICSM, pp. 227–236 (2008)
Aversano, L., Cerulo, L., Di Penta, M.: How clones are maintained: an empirical study. In: 11th European Conference on Software Maintenance and Reengineering, CSMR’07, pp. 81–90, March (2007)
Hotta, K., Sano, Y., Higo, Y., Kusumoto, S.: Is duplicate code more frequently modified than non-duplicate code in software evolution? An empirical study on open source software. In: Proceedings of the Joint ERCIM Workshop on Software Evolution (EVOL) and International Workshop on Principles of Software Evolution (IWPSE), IWPSE-EVOL’10, pp. 73–82 (2010)
Kim, M., Sazawal, V., Notkin, D., Murphy, G.: An empirical study of code clone genealogies. SIGSOFT Softw. Eng. 30, 187–196 (2005)
Saha, R.K., Asaduzzaman, M., Zibran, M.F., Roy, C.K., Schneider, K.A.: Evaluating code clone genealogies at release level: an empirical study. In: 10th IEEE Working Conference on Source Code Analysis and Manipulation (SCAM), pp. 87–96 (2010)
Maruyama, K., Omori, T.: A security-aware refactoring tool for Java programs. In Proceedings of the 4th Workshop on Refactoring Tools, WRT’11, pp. 22–28 (2011)
Fowler, M.: Refactoring: Improving the Design of Existing Code. Addison Wesley, USA (1999)
Murphy-Hill, E., Parnin, C., Black, A.P.: How we refactor, and how we know It. In: Proceedings of the 31st International Conference on Software Engineering, ICSE’09, pp. 287–297 (2009)
Liu, H., Ma, Z., Shao, W., Niu, Z.: Schedule of bad smell detection and resolution: a new way to save effort. IEEE Trans. Softw. Eng. 38(1), 220–235 (2012)
Ishio, T., Inoue, K., Sano, T., Choi, E., Yoshida, N.: Finding code clones for refactoring with clone metrics: a case study of open source
Roy, C.K., Cordy, J.R.: A survey on software clone detection research. School of Computing TR 2007-541, Queens University, pp. 115 (2007)
Rieger, M., Ducasse, S., Lanza, M.: Insights into system-wide code duplication. In: Proceedings of the 11th Working Conference on Reverse Engineering, pp. 100–109 (2004)
Acknowledgments
The research is supported by the National Natural Science Foundation of China under Grant No. 61173021.
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Bian, Y., Su, X., Ma, P. (2014). Identifying Accurate Refactoring Opportunities Using Metrics. In: Patnaik, S., Li, X. (eds) Proceedings of International Conference on Soft Computing Techniques and Engineering Application. Advances in Intelligent Systems and Computing, vol 250. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1695-7_17
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DOI: https://doi.org/10.1007/978-81-322-1695-7_17
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