Bug Detection and Assignment for Mobile Apps via Mining Users' Reviews

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Younesi maryam; Heydarnoori Abbas; GHANADI F.

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Journal: NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR Year:2020 | Volume:17 | Issue:4 Page(s): 287-297

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Title

Bug Detection and Assignment for Mobile Apps via Mining Users' Reviews

Author(s)

Younesi maryam | Heydarnoori Abbas | GHANADI F. | Issue Writer Certificate

Keywords

Opinion miningQ1

app storesQ1

bug assignmentQ2

software maintenanceQ1

machine learningQ1

Abstract

Increasing the popularity of smart phones 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 app stores, special attention to these comments from developers can make a dramatic improvement in the 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, this paper provides an approach based on users’ feedback for assigning program bugs to developers. This approach builds on the history of a program using its commit data, as well as developers' ability in fixing a program’ s errors using the bugs that developers have already resolved in the app. Then, by combining these two criteria, each developer will get a score for her appropriation for considering each review. Next, a list of developers who are appropriate for each bug are provided. The evaluations show that the proposed method would be able to identify the right developer to address the comments with a precision of 74%.

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APA: Copy

Younesi, maryam, Heydarnoori, Abbas, & GHANADI, F.. (2020). Bug Detection and Assignment for Mobile Apps via Mining Users' Reviews. NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR, 17(4 ), 287-297. SID. https://sid.ir/paper/228461/en

Vancouver: Copy

Younesi maryam, Heydarnoori Abbas, GHANADI F.. Bug Detection and Assignment for Mobile Apps via Mining Users' Reviews. NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR[Internet]. 2020;17(4 ):287-297. Available from: https://sid.ir/paper/228461/en

IEEE: Copy

maryam Younesi, Abbas Heydarnoori, and F. GHANADI, “Bug Detection and Assignment for Mobile Apps via Mining Users' Reviews,” NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR, vol. 17, no. 4 , pp. 287–297, 2020, [Online]. Available: https://sid.ir/paper/228461/en

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