Predicting the bug fixing time using word embedding and deep long short term memories
Author:
Affiliation:
1. Software Engineering Laboratory Department of Computer Engineering and IT Shiraz University of Technology Iran
2. Department of Computer Science, Engineering and IT Shiraz University Iran
Publisher
Institution of Engineering and Technology (IET)
Subject
Computer Graphics and Computer-Aided Design
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-sen.2019.0260
Reference36 articles.
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3. Wang X. Zhang L. Xie T. et al.: ‘An approach to detecting duplicate bug reports using natural language and execution information’.ACM/IEEE 30th Int. Conf. on Software Engineering Leipzig Germany 2009
4. Jalbert N. Weimer W.: ‘Automated duplicate detection for bug tracking systems’.Int. Conf. on Dependable Systems & Networks Anchorage Alaska 2008
5. Anbalagan P. Vouk M.: ‘On predicting the time taken to correct bug reports in open source projects’.IEEE Int. Conf. on Software Maintenance Edmonton AB Canada 2009
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