Software Developer Recommendation in Terms of Reducing Bug Tossing Length-Reference-Cited by-同舟云学术

Software Developer Recommendation in Terms of Reducing Bug Tossing Length

Published:2021 Issue: Volume: Page:396-407
ISSN:0302-9743
Container-title:Security, Privacy, and Anonymity in Computation, Communication, and Storage
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Author:

Baloch Muhammad Zubair,Hussain Shahid,Afzal Humaira,Mufti Muhammad Rafiq,Ahmad Bashir

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-68851-6_29

Reference33 articles.

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2. Sommerville, I.: Software Engineering, 7th edn. Pearson Addison Wesley, Boston (2004).ISBN.0321210263

3. Sebastiani, F.: Machine learning in automated text categorization. ACM Comput. Surv. 34(1), 1–47 (2002)

4. Mani, S., Sankaran, A., Aralikatte, R.: Exploring the effectiveness of deep learning for bug triaging. IBM Research, pp. 7–18 (2018)

5. Asmita, Y., Sandeep, S., Jasjit, S.: Ranking of Software Developers Based on Expertise Score for Bug Triaging. Elsevier, Amsterdam (2019)

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1. BSDRM: A Machine Learning Based Bug Triaging Model to Recommend Developer Team;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2023

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