Abstract
Automated program repair (APR) is a concept of automatically fixing bugs in source code to free developers from the burden of debugging. One of the issues facing search-based APR is that repaired code contains wasteful or meaningless statements that do not affect external behavior. This paper proposes a concept named source code tidying that eliminates wasteful statements in source code repaired by search-based APR. Our proposed method applies pre-defined tidying rules to repaired code and evaluates the effect of tidying using source code metrics such as lines of code. By repeating this process based on a genetic algorithm, unnatural and full of wasteful source code is gradually brought close to natural with preserving its behavior. Our method will be involved in a process of APR by improving the readability of repaired code.
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References
Assiri, F.Y., Bieman, J.M.: An assessment of the quality of automated program operator repair. In: Proceedings of International Conference on Software Testing, Verification and Validation, pp. 273–282 (2014)
Dallmeier, V., Zeller, A., Meyer, B.: Generating fixes from object behavior anomalies. In: Proceedings of International Conference on Automated Software Engineering, pp. 550–554 (2009)
Ferrante, J., Ottenstein, K.J., Warren, J.D.: The program dependence graph and its use in optimization. ACM Trans. on Program. Lang. Syst. 9(3), 319–349 (1987)
Fowler, M.: Refactoring: Improving the Design of Existing Code. Addison-Wesley Professional, Boston (1999)
Gazzola, L., Micucci, D., Mariani, L.: Automatic software repair: a survey. IEEE Trans. on Softw. Eng. 45(1), 34–67 (2019)
Goues, C.L., Nguyen, T., Forrest, S., Weimer, W.: GenProg: a generic method for automatic software repair. IEEE Trans. on Softw. Eng. 38(1), 54–72 (2012)
Higo, Y., et al.: kGenProg: a high-performance, high-extensibility and high-portability APR system. In: Proceedings of Asia-Pacific Software Engineering Conference, pp. 697–698 (2018)
Jia, Y., Harman, M.: An analysis and survey of the development of mutation testing. IEEE Trans. on Softw. Eng. 37(5), 649–678 (2010)
Nguyen, H.D.T., Qi, D., Roychoudhury, A., Chandra, S.: Semfix: program repair via semantic analysis. In: Proceedings of International Conference on Software Engineering, pp. 772–781 (2013)
Romano, S., Vendome, C., Scanniello, G., Poshyvanyk, D.: A multi-study investigation into dead code. IEEE Trans. on Softw. Eng. 46(1), 71–99 (2020)
Rountev, A.: Precise identification of side-effect-free methods in java. In: Proceedings of International Conference on Software Maintenance, pp. 82–91 (2004)
Xuan, J., Martinez, M., et al.: Nopol: automatic repair of conditional statement bugs in java programs. IEEE Trans. Softw. Eng. 43(1), 34–55 (2017)
Acknowledgments
This research was partially supported by JSPS KAKENHI Japan (Grant Number: JP21H04877, JP20H04166, JP21K18302, JP21K11829, JP21K11820, JP22H03567, and JP22K11985).
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Iwase, T., Matsumoto, S., Kusumoto, S. (2022). Tidy Up Your Source Code! Eliminating Wasteful Statements in Automatically Repaired Source Code. In: Taibi, D., Kuhrmann, M., Mikkonen, T., Klünder, J., Abrahamsson, P. (eds) Product-Focused Software Process Improvement. PROFES 2022. Lecture Notes in Computer Science, vol 13709. Springer, Cham. https://doi.org/10.1007/978-3-031-21388-5_40
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DOI: https://doi.org/10.1007/978-3-031-21388-5_40
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