An empirical study on how expert knowledge affects bug reports

Author:

Rodeghero Paige1ORCID,Huo Da1,Ding Tao2,McMillan Collin1,Gethers Malcom2

Affiliation:

1. Department of Computer Science and Engineering; University of Notre Dame; Notre Dame IN 46545 USA

2. Information Systems Department; University of Maryland, Baltimore County; Baltimore MD 21250 USA

Publisher

Wiley

Subject

Software

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Comparison of ML, Deep Learning and Bio-inspired Algorithms in Bug Triaging;Proceedings of the 2023 Fifteenth International Conference on Contemporary Computing;2023-08-03

2. “Won’t We Fix this Issue?” Qualitative characterization and automated identification of wontfix issues on GitHub;Information and Software Technology;2021-11

3. Andror2: A Dataset of Manually-Reproduced Bug Reports for Android apps;2021 IEEE/ACM 18th International Conference on Mining Software Repositories (MSR);2021-05

4. An Exploratory Field Study of Programmer Assistance-Seeking during Software Development;Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops;2020-06-27

5. Identifying and predicting key features to support bug reporting;Journal of Software: Evolution and Process;2019-08-29

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