Towards the identification of bug entities and relations in bug reports-Reference-Cited by-同舟云学术

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Towards the identification of bug entities and relations in bug reports

Published:2022-01-31 Issue:1 Volume:29 Page:
ISSN:0928-8910
Container-title:Automated Software Engineering
language:en
Short-container-title:Autom Softw Eng

Author:

Li Bin,Wei Ying,Sun Xiaobing^ORCID,Bo Lili,Chen Dingshan,Tao Chuanqi

Funder

National Natural Science Foundation of China

Six Talent Peaks Project in Jiangsu Province

Jiangsu “333” Project

State Key Laboratory of Novel Software Technology

Yangzhou city-Yangzhou University Science and Technology Cooperation Fund Project

Key Laboratory of Safety-Critical Software Ministry of Industry and Information Technology

Natural Science Research Project of Universities in Jiangsu Province

Yangzhou University Top-level Talents Support Program

Publisher

Springer Science and Business Media LLC

Subject

Software

Link

https://link.springer.com/content/pdf/10.1007/s10515-022-00325-1.pdf

Reference84 articles.

1. Alenezi, M., Banitaan, S., Zarour, M.: Using categorical features in mining bug tracking systems to assign bug reports. CoRR, arXiv:abs/1804.07803 (2018)

2. Ardimento, P., Dinapoli, A.: Knowledge extraction from on-line open source bug tracking systems to predict bug-fixing time. In: Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics, WIMS 2017, Amantea, Italy, 19–22 June 2017, pp. 7:1–7:9 (2017)

3. Bagheri, E., Ensan, F.: Semantic tagging and linking of software engineering social content. Autom. Softw. Eng. 23, 147–190 (2016)

4. Bettenburg, N., Premraj, R., Zimmermann, T., Kim, S.: Duplicate bug reports considered harmful … really? In: 24th IEEE International Conference on Software Maintenance (ICSM 2008), 28 Sept–4 Oct 2008, Beijing, China, pp. 337–345 (2008)

5. Bunescu, R.C., Mooney, R.J.: A shortest path dependency kernel for relation extraction. In: HLT/EMNLP 2005, Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference, 6–8 Oct 2005, Vancouver, BC, Canada, pp. 724–731 (2005)

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