Learning to rank developers for bug report assignment-Reference-Cited by-同舟云学术

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Learning to rank developers for bug report assignment

Published:2020-10 Issue: Volume:95 Page:106667
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Alkhazi Bader,DiStasi Andrew,Aljedaani Wajdi,Alrubaye Hussein^ORCID,Ye Xin,Mkaouer Mohamed Wiem^ORCID

Publisher

Elsevier BV

Subject

Software

Reference53 articles.

1. Amalgamating source code authors, maintainers, and change proneness to triage change requests;Hossen,2014

2. Improving bug triage with bug tossing graphs;Jeong,2009

3. Triaging incoming change requests: Bug or commit history, or code authorship?;Linares-Vásquez,2012

4. Learning to rank for bug report assignee recommendation;Tian,2016

5. A topic-based approach for narrowing the search space of buggy files from a bug report;Nguyen,2011

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1. Learning-to-rank debias with popularity-weighted negative sampling and popularity regularization;Neurocomputing;2024-06

2. Empirical Investigation of Accessibility Bug Reports in Mobile Platforms: A Chromium Case Study;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

3. Automated issue assignment using topic modelling on Jira issue tracking data;IET Software;2023-05-30

4. Still Confusing for Bug-Component Triaging? Deep Feature Learning and Ensemble Setting to Rescue;2023 IEEE/ACM 31st International Conference on Program Comprehension (ICPC);2023-05

5. An artificial intelligence framework on software bug triaging, technological evolution, and future challenges: A review;International Journal of Information Management Data Insights;2023-04

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