[1]
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Semi-automated cross-component issue management and impact analysis
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2021 36th IEEE/ACM International Conference on …,
2021 |
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[2]
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Classifying defective software projects based on machine learning and complexity metrics
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International Journal of Computing Science …,
2021 |
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[3]
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Using Machine Learning to Learn from Bug Reports: Towards Improved Testing Efficiency
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2019 |
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[4]
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Towards Auto-labelling Issue Reports for Pull-Based Software Development using Text Mining Approach
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2019 |
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[5]
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Automatic Classification of Bug Reports
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2019 |
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[6]
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Software Bug Categorization Technique Based on Fuzzy Similarity
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2019 |
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[7]
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Automated labeling of issue reports using semi supervised approach
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Journal of Computational Methods in Sciences and Engineering,
2018 |
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[8]
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Automatic clustering of bug reports
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2018 |
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[9]
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Towards an understanding of change types in bug fixing code
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Information and Software Technology,
2017 |
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[10]
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Empirical analysis of rough set categorical clustering techniques based on rough purity and value set
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2017 |
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[11]
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MODELO DE CLASSIFICAÇÃO SEMIAUTOMÁTICO PARA SERVIÇOS DE TI
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2016 |
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[12]
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A survey on bug prioritization
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Artificial Intelligence Review,
2016 |
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[13]
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A semiautomatic model for classification of IT services
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2016 |
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[14]
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Three Views of Log Trace Triaging
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Foundations and Practice of Security,
2016 |
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[15]
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An automated approach for bug categorization using fuzzy logic
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ISEC 2015 Proceedings of the 8th India Software Engineering Conference,
2015 |
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[16]
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Mining Software Repositories for Defect Categorization
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JOURNAL OF COMMUNICATIONS SOFTWARE AND SYSTEMS,
2015 |
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[17]
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A Novel Way of Assigning Software Bug Priority Using Supervised Classification on Clustered Bugs Data
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Advances in Intelligent Informatics,
2015 |
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[18]
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BUG TRACKING AND PREDICTION
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2015 |
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[19]
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Mining Software Repositories for Defect Categorization.
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Journal of Communications Software & Systems,
2015 |
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[20]
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Challenges and opportunities for software change request repositories: a systematic mapping study
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Journal of Software: Evolution and Process,
2014 |
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[21]
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Automatic bug labeling using semantic information from LSI
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Contemporary Computing (IC3), 2014 Seventh International Conference on. IEEE,
2014 |
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[22]
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Accurate Extraction of Bug Fix Pattern Occurrences using Abstract Syntax Tree Analysis
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Doctoral dissertation, Inria,
2014 |
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[23]
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Checking Language Dependent Accuracy of Web Applications using Data Mining Techniques
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International Journal of Computer Science and Information Technologies,
2014 |
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[24]
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On Studying the Effect of Sample Size in Evaluation of Bug Classifiers
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NK Nagwani, S Verma - Indian Journal of Science and Technology,
2013 |
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[25]
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Generating taxonomic terms for software bug classification by utilizing topic models based on Latent Dirichlet Allocation
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ICT and Knowledge Engineering (ICT&KE), 2013 11th International Conference on. IEEE,
2013 |
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[26]
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ML-CLUBAS: A Multi Label Bug Classification Algorithm
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2012 |
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