poster

Automated user reviews analyser

Authors:

Adelina Ciurumelea,

Sebastiano Panichella,

Harald C. GallAuthors Info & Claims

ICSE '18: Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings

Pages 317 - 318

https://doi.org/10.1145/3183440.3194988

Published: 27 May 2018 Publication History

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Abstract

We present a novel tool, AUREA, that automatically classifies mobile app reviews, filters and facilitates their analysis using fine grained mobile specific topics. We aim to help developers analyse the direct and valuable feedback that users provide through their reviews, in order to better plan maintenance and evolution activities for their apps. Reviews are often difficult to analyse because of their unstructured textual nature and their frequency, moreover only a third of them are informative. We believe that by using our tool, developers can reduce the amount of time required to analyse and understand the issues users encounter and plan appropriate change tasks.

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Cited By

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Malgaonkar SLicorish SSavarimuthu B(2022)Automatically generating taxonomy for grouping app reviews — a study of three appsSoftware Quality Journal10.1007/s11219-021-09570-130:2(483-512)Online publication date: 1-Jun-2022
https://dl.acm.org/doi/10.1007/s11219-021-09570-1
Dąbrowski JLetier EPerini ASusi A(2022)Analysing app reviews for software engineering: a systematic literature reviewEmpirical Software Engineering10.1007/s10664-021-10065-727:2Online publication date: 20-Jan-2022
https://dl.acm.org/doi/10.1007/s10664-021-10065-7
Zhou YSu YChen THuang ZGall HPanichella S(2021)User Review-Based Change File Localization for Mobile ApplicationsIEEE Transactions on Software Engineering10.1109/TSE.2020.296738347:12(2755-2770)Online publication date: 1-Dec-2021
https://doi.org/10.1109/TSE.2020.2967383
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Information & Contributors

Information

Published In

ICSE '18: Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings

May 2018

231 pages

ISBN:9781450356633

DOI:10.1145/3183440

Conference Chair:
Michel Chaudron
Chalmers University of Technology, University of Gothenburg, Sweden
,
General Chair:
Ivica Crnkovic
Chalmers University of Technology, University of Gothenburg, Sweden
,
Program Chairs:
Marsha Chechik
University of Toronto, Canada
,
Mark Harman
Facebook and University College London, United Kingdom

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 May 2018

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Poster

Conference

ICSE '18

Sponsor:

SIGSOFT
IEEE-CS

ICSE '18: 40th International Conference on Software Engineering

May 27 - June 3, 2018

Gothenburg, Sweden

Acceptance Rates

Overall Acceptance Rate 276 of 1,856 submissions, 15%

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April 26 - May 3, 2025

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Citations

Cited By

View all

Malgaonkar SLicorish SSavarimuthu B(2022)Automatically generating taxonomy for grouping app reviews — a study of three appsSoftware Quality Journal10.1007/s11219-021-09570-130:2(483-512)Online publication date: 1-Jun-2022
https://dl.acm.org/doi/10.1007/s11219-021-09570-1
Dąbrowski JLetier EPerini ASusi A(2022)Analysing app reviews for software engineering: a systematic literature reviewEmpirical Software Engineering10.1007/s10664-021-10065-727:2Online publication date: 20-Jan-2022
https://dl.acm.org/doi/10.1007/s10664-021-10065-7
Zhou YSu YChen THuang ZGall HPanichella S(2021)User Review-Based Change File Localization for Mobile ApplicationsIEEE Transactions on Software Engineering10.1109/TSE.2020.296738347:12(2755-2770)Online publication date: 1-Dec-2021
https://doi.org/10.1109/TSE.2020.2967383
Di Sorbo APanichella SVisaggio CPenta MCanfora GGall H(2021)Exploiting Natural Language Structures in Software Informal DocumentationIEEE Transactions on Software Engineering10.1109/TSE.2019.293051947:8(1587-1604)Online publication date: 1-Aug-2021
https://doi.org/10.1109/TSE.2019.2930519
Al-Hawari ANajadat HShatnawi R(2021)Classification of application reviews into software maintenance tasks using data mining techniquesSoftware Quality Journal10.1007/s11219-020-09529-829:3(667-703)Online publication date: 1-Sep-2021
https://dl.acm.org/doi/10.1007/s11219-020-09529-8
Aslam NRamay WXia KSarwar N(2020)Convolutional Neural Network Based Classification of App ReviewsIEEE Access10.1109/ACCESS.2020.30296348(185619-185628)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.3029634
Malgaonkar SLicorish SSavarimuthu B(2020)Towards Automated Taxonomy Generation for Grouping App Reviews: A Preliminary Empirical StudyQuality of Information and Communications Technology10.1007/978-3-030-58793-2_10(120-134)Online publication date: 31-Aug-2020
https://doi.org/10.1007/978-3-030-58793-2_10
Gomaa AEl-Shorbagy SEl-Gammal WMagdy MAbdelmoez W(2019)Using Resampling Techniques with Heterogeneous Stacking Ensemble for Mobile App Stores Reviews AnalyticsProceedings of the International Conference on Advanced Intelligent Systems and Informatics 201910.1007/978-3-030-31129-2_76(831-841)Online publication date: 2-Oct-2019
https://doi.org/10.1007/978-3-030-31129-2_76

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