An Extended Survey Concerning the Significance of Artificial Intelligence and Machine Learning Techniques for Bug Triage and Management
Author:
Affiliation:
1. Department of Mathematics and Computer Science, Transilvania University of Braşov, Braşov, Romania
2. Department of Research and Technology, Siemens Industry Software, Braşov, Romania
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10305170.pdf?arnumber=10305170
Reference102 articles.
1. Bug Triage based on ant system with evaporation factor tuning;akila;J Control Theory Applied,2016
2. Cost-aware clustering of bug reports by using a genetic algorithm;lee;J Inf Sci Eng,2019
3. Automatic Keyword and Sentence-Based Text Summarization for Software Bug Reports
4. Optimized assignment of developers for fixing bugs an initial evaluation for eclipse projects
5. Empirical Analysis of Ensemble Machine Learning Techniques for Bug Triaging
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