Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
The Cathedral and the Bazaar
Expertise browser: a quantitative approach to identifying expertise
Proceedings of the 24th International Conference on Software Engineering
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
Automated support for classifying software failure reports
Proceedings of the 25th International Conference on Software Engineering
Reconstructing Ownership Architectures To Help Understand Software Systems
IWPC '99 Proceedings of the 7th International Workshop on Program Comprehension
An introduction to variable and feature selection
The Journal of Machine Learning Research
Coping with an open bug repository
eclipse '05 Proceedings of the 2005 OOPSLA workshop on Eclipse technology eXchange
Proceedings of the 28th international conference on Software engineering
Towards automation of iteration planning
Proceedings of the 24th ACM SIGPLAN conference companion on Object oriented programming systems languages and applications
An empirical study on bug assignment automation using Chinese bug data
ESEM '09 Proceedings of the 2009 3rd International Symposium on Empirical Software Engineering and Measurement
Applications of data mining in software engineering
International Journal of Data Analysis Techniques and Strategies
Selecting discriminating terms for bug assignment: a formal analysis
Proceedings of the 7th International Conference on Predictive Models in Software Engineering
WhoseFault: automatic developer-to-fault assignment through fault localization
Proceedings of the 34th International Conference on Software Engineering
Towards understanding software change request assignment: a survey with practitioners
Proceedings of the 17th International Conference on Evaluation and Assessment in Software Engineering
Categorizing bugs with social networks: a case study on four open source software communities
Proceedings of the 2013 International Conference on Software Engineering
Informing development decisions: from data to information
Proceedings of the 2013 International Conference on Software Engineering
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Open-source development projects typically support an open bug repository to which both developers and users can report bugs. A report that appears in this repository must be triaged to determine if the report is one which requires attention and if it is, which developer will be assigned the responsibility of resolving the report. Large open-source developments are burdened by the rate at which new bug reports appear in the bug repository. The thesis of this work is that the task of triage can be eased by using a semi-automated approach to assign bug reports to developers. The approach consists of constructing a recommender for bug assignments; examined are both a range of algorithms that can be used and the various kinds of information provided to the algorithms. The proposed work seeks to determine through human experimentation a sufficient level of precision for the recommendations, and to analytically determine the trade-offs of the various algorithmic and information choices.