A Multi-objective Approach to Prioritize and Recommend Bugs in Open Source Repositories

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• 关键词：Bugs prioritization ; Multi ; objective optimization ; SBSE
• 刊名：Lecture Notes in Computer Science
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：9962
• 期：1
• 页码：143-158
• 全文大小：541 KB
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• 作者单位：Duany Dreyton (15)
  Allysson Allex Araújo (15)
  Altino Dantas (15)
  Raphael Saraiva (15)
  Jerffeson Souza (15)
  
  15. Optimization in Software Engineering Group, State University of Ceará, Doutor Silas Munguba Avenue, 1700, Fortaleza, 60714-903, Brazil
  
• 丛书名：Search Based Software Engineering
• ISBN：978-3-319-47106-8
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349
• 卷排序：9962

文摘

Bugs prioritization in open source repositories poses as a challenging and complex task, given the significant number of reports and the impact of a wrong bug assignment to the software evolution. Deciding the most suitable bugs in order to be solved can be considered as an optimization problem. Thus, we propose a search-bas ed approach supported by a multi-objective paradigm to tackle this problem, aiming to maximize the resolution of the most important bugs, while minimizing the risk of later resolution of the most severe ones. Furthermore, we propose a strategy to avoid the developer’s effort when choosing a solution from the Pareto Front. Regarding the empirical study, we evaluate the performance of three metaheuristics and investigate the human competitiveness of the approach. Overall, the proposal can be said human competitive in a real-world scenario and the NSGA-II outperformed both MOCell and IBEA in the adopted quality measures.