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| Type | Conference or Workshop Paper |
| Scope | Discipline-based scholarship |
| Published in Proceedings | Yes |
| Title | SURF: summarizer of user reviews feedback |
| Organization Unit | |
| Authors |
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| Presentation Type | paper |
| Item Subtype | Original Work |
| Refereed | Yes |
| Status | Published in final form |
| Language |
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| ISBN | 978-1-5386-1589-8 |
| Page Range | 55 - 58 |
| Event Title | 39th IEEE/ACM International Conference on Software Engineering Companion |
| Event Type | conference |
| Event Location | Buenos Aires, Argentina |
| Event Start Date | May 20 - 2017 |
| Event End Date | May 28 - 2017 |
| Series Name | Proceedings of the International Conference on Software Engineering Companion |
| Number | 39 |
| Place of Publication | Buenos Aires, Argentina |
| Publisher | Institute of Electrical and Electronics Engineers |
| Abstract Text | Continuous Delivery (CD) enables mobile developers to release small, high quality chunks of working software in a rapid manner. However, faster delivery and a higher software quality do neither guarantee user satisfaction nor positive business outcomes. Previous work demonstrates that app reviews may contain crucial information that can guide developer’s software maintenance efforts to obtain higher customer satisfaction. However, previous work also proves the difficulties encountered by developers in manually analyzing this rich source of data, namely (i) the huge amount of reviews an app may receive on a daily basis and (ii) the unstructured nature of their content. In this paper, we propose SURF (Summarizer of User Reviews Feedback), a tool able to (i) analyze and classify the information contained in app reviews and (ii) distill actionable change tasks for improving mobile applications. Specifically, SURF performs a systematic summarization of thousands of user reviews through the generation of an interactive, structured and condensed agenda of recommended software changes. An end-to-end evaluation of SURF, involving 2622 reviews related to 12 different mobile applications, demonstrates the high accuracy of SURF in summarizing user reviews content. In evaluating our approach we also involve the original developers of some apps, who confirm the practical usefulness of the software change recommendations made by SURF. Demo URL: https://youtu.be/Yf-U5ylJXvo Demo webpage: http://www.ifi.uzh.ch/en/seal/people/panichella/tools/SURFTool.html |
| Free access at | DOI |
| Related URLs |
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| Digital Object Identifier | 10.1109/ICSE-C.2017.5 |
| Other Identification Number | merlin-id:14547 |
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| Additional Information | © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |