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CMSuggester: Method Change Suggestion to Complement Multi-entity Edits

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Book cover Software Analysis, Testing, and Evolution (SATE 2018)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 11293))

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Abstract

Developers spend significant time and effort in maintaining software. In a maintenance task, developers sometimes have to simultaneously modify multiple program entities (i.e., classes, methods, and fields). We refer to such complex changes as multi-entity edits. It is challenging for developers to apply multi-entity edits consistently and completely. Existing tools provide limited support for such edits, mainly because the co-changed entities usually contain diverse program contexts and experience different changes. This paper introduces CMSuggester, an automatic approach that suggests complementary changes for multi-entity edits. Given a multi-entity edit that adds a field and modifies one or more methods to access the field, CMSuggester suggests other methods to co-change for the new field access. CMSuggester is inspired by our previous empirical study, which reveals that the methods co-changed to access a new field usually commonly access the same set of fields declared in the same class. By extracting the fields accessed by the given changed method(s), CMSuggester identifies and recommends any unchanged method that also accesses those fields.

Our evaluation shows that CMSuggester recommends changes for 279 out of 408 suggestion tasks. With the recommended methods, CMSuggester achieves 73% F-score on average, while the widely used tool ROSE achieves 48% F-score. In most cases, as shown in our evaluation results, CMSuggester are useful for developers, since it recommend complete and correct multi-entity edits.

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References

  1. Support of compaction strategy option for stress.java. https://github.com/apache/cassandra/commit/f06e1d63a2006aa95d36636c56561158c8758a3c

  2. Apache Aries (2018). http://aries.apache.org

  3. apache/cassandra (2018). https://github.com/apache/cassandra

  4. apache/derby (2018). https://github.com/apache/derby

  5. apache/mahout (2018). https://github.com/apache/mahout

  6. DERBY-2201: Allow scalar functions to return LOBs (2018). https://github.com/apache/derby/commit/638f1b48afc27c094c7f34a6254778c1a4ad9608

  7. DERBY-5162: Null out the wrapped Clob when resetting a SQLClob to NULL (2018). https://github.com/apache/derby/commit/e9737b6

  8. Fix infinite loop when paging queries with IN (2018). https://github.com/apache/cassandra/commit/7c32ffb

  9. MAHOUT-401: Use NamedVector in seq2sparse (2018). https://github.com/apache/mahout/commit/22d7d31

  10. WALA (2018). http://wala.sourceforge.net/wiki/index.php/Main_Page

  11. Christa, S., Madhusudhan, V., Suma, V., Rao, J.J.: Software maintenance: from the perspective of effort and cost requirement. In: Satapathy, S., Bhateja, V., Joshi, A. (eds.) Proceedings of the International Conference on Data Engineering and Communication Technology, vol. 469, pp. 759–768. Springer, Singapore (2017). https://doi.org/10.1007/978-981-10-1678-3_73

    Chapter  Google Scholar 

  12. Gall, H., Hajek, K., Jazayeri, M.: Detection of logical coupling based on product release history. In: Proceedings of ICSM, pp. 190–198 (1998)

    Google Scholar 

  13. Gall, H., Jazayeri, M., Krajewski, J.: CVS release history data for detecting logical couplings. In: Proceedings of IWPSE, pp. 13–23 (2003)

    Google Scholar 

  14. Hassan, A.E., Holt, R.C.: Predicting change propagation in software systems. In: Proceedings of ICSM, pp. 284–293 (2004)

    Google Scholar 

  15. Herzig, K., Just, S., Zeller, A.: It’s not a bug, it’s a feature: how misclassification impacts bug prediction. In: Proceedings of ICSE, pp. 392–401 (2013)

    Google Scholar 

  16. Kim, D., Nam, J., Song, J., Kim, S.: Automatic patch generation learned from human-written patches. In: Proceedings of ICSE, pp. 802–811 (2013)

    Google Scholar 

  17. Kim, M., Notkin, D.: Discovering and representing systematic code changes. In: Proceedings of ICSE, pp. 309–319 (2009)

    Google Scholar 

  18. Le Goues, C., Nguyen, T., Forrest, S., Weimer, W.: Genprog: a generic method for automatic software repair. IEEE Trans. Softw. Eng. 38(1), 54 (2012)

    Article  Google Scholar 

  19. Li, Z., Zhou, Y.: PR-Miner: automatically extracting implicit programming rules and detecting violations in large software code. In: Proceedings of ESEC/FSE, pp. 306–315 (2005)

    Article  Google Scholar 

  20. Long, F., Amidon, P., Rinard, M.: Automatic inference of code transforms for patch generation. In: Proceedings of ESEC/FSE, pp. 727–739 (2017)

    Google Scholar 

  21. Long, F., Rinard, M.: Automatic patch generation by learning correct code. In: Proceedings of POPL, pp. 298–312 (2016)

    Article  Google Scholar 

  22. Meng, N., Kim, M., McKinley, K.: LASE: locating and applying systematic edits. In: Proceedings of ICSE, pp. 502–511 (2013)

    Google Scholar 

  23. Nguyen, T.T., Nguyen, H.A., Pham, N.H., Al-Kofahi, J.M., Nguyen, T.N.: Clone-aware configuration management. In: Proceedings of ASE, pp. 123–134 (2009)

    Google Scholar 

  24. Park, J., Kim, M., Ray, B., Bae, D.H.: An empirical study of supplementary bug fixes. In: Proceedings of MSR, pp. 40–49 (2012)

    Google Scholar 

  25. Rumbaugh, J., Blaha, M., Premerlani, W., Eddy, F., Lorensen, W.: Object-Oriented Modeling and Design. Prentice-Hall Inc., Upper Saddle River (1991)

    MATH  Google Scholar 

  26. Shirabad, J.S., Lethbridge, T.C., Matwin, S.: Mining the maintenance history of a legacy software system. In: Proceedings of ICSM, pp. 95–104 (2003)

    Google Scholar 

  27. Tan, M.: Online defect prediction for imbalanced data. Master’s thesis, University of Waterloo (2015)

    Google Scholar 

  28. Wang, Y., Meng, N., Zhong, H.: An empirical study of multi-entity changes in real bug fixes. In: Proceedings of ICSME (2018)

    Google Scholar 

  29. Yin, Z., Yuan, D., Zhou, Y., Pasupathy, S., Bairavasundaram, L.: How do fixes become bugs? In: Proceedings of ESEC/FSE, pp. 26–36 (2011)

    Google Scholar 

  30. Ying, A.T.T., Murphy, G.C., Ng, R.T., Chu-Carroll, M.: Predicting source code changes by mining change history. IEEE Trans. Softw. Eng. 30(9), 574–586 (2004)

    Article  Google Scholar 

  31. Zhong, H., Mei, H.: Mining repair model for exception-related bug. J. Syst. Softw. 141, 16–31 (2018)

    Article  Google Scholar 

  32. Zhong, H., Su, Z.: An empirical study on real bug fixes. In: Proceedings of ICSE, pp. 913–923 (2015)

    Google Scholar 

  33. Zimmermann, T., Weisgerber, P., Diehl, S., Zeller, A.: Mining version histories to guide software changes. In: Proceedings of ICSE, pp. 563–572 (2004)

    Google Scholar 

Download references

Acknowledgment

We thank anonymous reviewers for their valuable comments on our earlier version of the paper. This work was supported by NSF Grant CCF-1565827, National Basic Research Program of China (973 Program) No. 2015CB352203, the National Nature Science Foundation of China No. 61572313, and the grant of Science and Technology Commission of Shanghai Municipality No. 15DZ1100305.

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Authors and Affiliations

  1. Virginia Tech, Blacksburg, VA, 24061, USA

    Ye Wang & Na Meng

  2. Shanghai Jiao Tong University, Shanghai, 200240, China

    Hao Zhong

Authors
  1. Ye Wang
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  2. Na Meng
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  3. Hao Zhong
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Corresponding author

Correspondence to Ye Wang .

Editor information

Editors and Affiliations

  1. Nanjing University, Nanjing, China

    Lei Bu

  2. Peking University, Peking, China

    Yingfei Xiong

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Wang, Y., Meng, N., Zhong, H. (2018). CMSuggester: Method Change Suggestion to Complement Multi-entity Edits. In: Bu, L., Xiong, Y. (eds) Software Analysis, Testing, and Evolution. SATE 2018. Lecture Notes in Computer Science(), vol 11293. Springer, Cham. https://doi.org/10.1007/978-3-030-04272-1_9

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  • DOI: https://doi.org/10.1007/978-3-030-04272-1_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-04271-4

  • Online ISBN: 978-3-030-04272-1

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