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Assignment of Bugs Identified in Users’ Reviews for Mobile Apps to Developers

Younesi, Maryam | 2017

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 50502 (19)
  4. University: Sharif University of Technology
  5. Department: Computer Engineering
  6. Advisor(s): Heydarnoori, Abbas; Soleymani Baghshah, Mahdieh
  7. Abstract:
  8. Increasing the popularity of smartphones and the great ovation of users of mobile apps has turned the app stores to massive software repositories. Therefore, using these repositories can be useful for improving the quality of the program. Since the bridge between users and developers of mobile apps is the comments that users write in the app store, special attention to these comments from developers can make a dramatic improvement in final quality of mobile apps. Hence, in recent years, numerous studies have been conducted around the topic of opinion mining, whose intention was to extract and exert important information from user’s reviews. One of the shortcomings of these studies is the inability to use the information contained in user comments to expedite and improve the process of fixing the software error. Hence, in this research,besides reviewing the researches done in this area, an approach based on user feedback for assigning program bugs to developers will be expressed. This approach builds on the history of program using the its commit data, as well as developers’s ability in fixing program errors using the bugs that developers have already resolved in the app.Then, using the combination of these two criteria, each developer will get an score for her appropriation for considering each review. Then approach will provide a list of developers that are appropriate to be considered for each review. The research suggests that the proposed method, with a precision of 74%, would be able to identify the right developer to address the comments
  9. Keywords:
  10. Opinion Mining ; Machine Learning ; Bug Assignment ; Software Maintenance

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