ELBlocker: Predicting blocking bugs with ensemble imbalance learning-Reference-Cited by-同舟云学术

ELBlocker: Predicting blocking bugs with ensemble imbalance learning

Published:2015-05 Issue: Volume:61 Page:93-106
ISSN:0950-5849
Container-title:Information and Software Technology
language:en
Short-container-title:Information and Software Technology

Author:

Xia Xin,Lo David,Shihab Emad,Wang Xinyu,Yang Xiaohu

Funder

National Basic Research Program of China

National Key Technology R&D Program of the Ministry of Science and Technology of China

Publisher

Elsevier BV

Subject

Computer Science Applications,Information Systems,Software

Reference45 articles.

1. Evaluating the effectiveness of reliability-assurance techniques;Collofello;J. Syst. Softw.,1989

2. G. Tassey, The economic impacts of inadequate infrastructure for software testing, National Institute of Standards and Technology, RTI Project 7007 (011).

3. Who should fix this bug?;Anvik,2006

4. Accurate developer recommendation for bug resolution;Xia,2013

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

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