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Construct bug knowledge graph for bug resolution: poster

Published: 20 May 2017 Publication History

Abstract

Software bug issues are unavoidable in software development and maintenance [1--3]. When a bug is reported, developers usually search various software sources, such as bug repositories, software control versions and so on, to get a referred solution [1, 4]. However, the volume of search results is usually large, most of which are irrelevant. What's more, developers need to search different sources, and manually integrate different search results to get a referred bug resolution.

References

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T. Zhang, H. Jiang, X. Luo, and A. T. S. Chan, "A literature review of research in bug resolution: Tasks, challenges and future directions," Comput. J., vol. 59, no. 5, pp. 741--773, 2016.
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H. Yang, X. Sun, B. Li, and Y. Duan, "Dr_psf: Enhancing developer recommendation by leveraging personalized source-code files," in 40th IEEE Annual Computer Software and Applications Conference, COMPSAC 2016, Atlanta, GA, USA, June 10--14, 2016, 2016, pp. 239--244.
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H. Yang, X. Sun, B. Li, and J. Hu, "Recommending developers with supplementary information for issue request resolution," in Proceedings of the 38th International Conference on Software Engineering, ICSE 2016, Austin, TX, USA, May 14--22, 2016 - Companion Volume, 2016, pp. 707--709.
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T.-D. B. Le, M. Linares-Vasquez, D. Lo, and D. Poshyvanyk, "Rclinker: automated linking of issue reports and commits leveraging rich contextual information," in 2015 IEEE 23rd International Conference on Program Comprehension, 2015, p. 36C47.
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Z. Chen and B. Liu, "Topic modeling using topics from many domains, lifelong learning and big data," 2014.
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Y. Sun, Q. Wang, and Y. Yang, "Frlink: Improving the recovery of missing issue-commit links by revisiting file relevance," in Information and Software Technology, 2016.
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G. Rodriguez, J. M. Gonzalez-Barahona, G. Robles, NelsonSekitoleko, and D. Dalipaj, "Bugtracking: A tool to assist in the identification of bug reports," in IFIP International Conference on Open Source Systems, 2016, pp. 192--198.
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X. Xia and D. Lo, "An effective change recommendation approach for supplementary bug fixes," in Automated Software Engineering, 2016, pp. 1--44.
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M. L. Vásquez, L. F. Cortes-Coy, J. Aponte, and D. Poshyvanyk, "Changescribe: A tool for automatically generating commit messages," in 37th IEEE/ACM International Conference on Software Engineering, ICSE 2015, Florence, Italy, May 16--24, 2015, Volume 2, 2015, pp. 709--712.
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X. Sun, X. Liu, J. Hu, and J. Zhu, "Empirical studies on the nlp techniques for source code data preprocessing," in Proceedings of the 2014 3rd International Workshop on Evidential Assessment of Software Technologies, ser. EAST 2014, 2014, pp. 32--39.
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D. M. Blei, A. Y. Ng, and M. I. Jordan, "Latent dirichlet allocation," Journal of Machine Learning Research, vol. 3, pp. 993--1022, 2003.
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X. Sun, X. Liu, B. Li, Y. Duan, H. Yang, and J. Hu, "Exploring topic models in software engineering data analysis: A survey," in 17th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2016, Shanghai, China, May 30 -- June 1, 2016, 2016, pp. 357--362.

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cover image ACM Conferences
ICSE-C '17: Proceedings of the 39th International Conference on Software Engineering Companion
May 2017
558 pages
ISBN:9781538615898

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IEEE Press

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Published: 20 May 2017

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