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Automatic bug assignments without texts: a study

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References

  1. Li Z, Zhong H. Revisiting textual feature of bug-triage approach. In: Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering (ASE). 2021, 1183–1185

  2. Kohavi R, John G H. Wrappers for feature subset selection. Artificial Intelligence, 1997, 97(1–2): 273–324

    Article  Google Scholar 

  3. Guyon I, Elisseeff A. An introduction to variable and feature selection. The Journal of Machine Learning Research, 2003, 3: 1157–1182

    Google Scholar 

  4. Ahsan S N, Ferzund J, Wotawa F. Automatic software bug triage system (BTS) based on latent semantic indexing and support vector machine. In: Proceedings of the 4th International Conference on Software Engineering Advances. 2009, 216–221

  5. Banitaan S, Alenezi M. TRAM: an approach for assigning bug reports using their metadata. In: Proceedings of the 3rd International Conference on Communications and Information Technology (ICCIT). 2013, 215–219

  6. Jonsson L, Borg M, Broman D, Sandahl K, Eldh S, Runeson P. Automated bug assignment: Ensemble-based machine learning in large scale industrial contexts. Empirical Software Engineering, 2016, 21(4): 1533–1578

    Article  Google Scholar 

  7. Zhang W, Wang S, Yang Y, Wang Q. Heterogeneous network analysis of developer contribution in bug repositories. In: Proceedings of International Conference on Cloud and Service Computing. 2013, 98–105

  8. Sarkar A, Rigby P C, Bartalos B. Improving bug triaging with high confidence predictions at Ericsson. In: Proceedings of IEEE International Conference on Software Maintenance and Evolution (ICSME). 2019, 81–91

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Acknowledgement

We would appreciate Hao Zhong and Linpeng Huang for their guidance and FCS reviewers for their valuable feedback.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China

    Zexuan Li & Kaixin Huang

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  1. Zexuan Li
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  2. Kaixin Huang
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Correspondence to Zexuan Li.

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Competing interests The authors declare that they have no competing interests or financial conflicts to disclose.

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Li, Z., Huang, K. Automatic bug assignments without texts: a study. Front. Comput. Sci. 18, 184210 (2024). https://doi.org/10.1007/s11704-024-3299-6

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  • DOI: https://doi.org/10.1007/s11704-024-3299-6