Retrieving Diverse Opinions from App Reviews

Emitza Guzman, Omar Aly, Bernd Bruegge

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

Context: Users can have conflicting opinions and different experiences when using software and user reviews serve as a channel in which users can document their opinions and experiences. To develop and evolve software that is usable and relevant for a diverse group of users, different opinions and experiences need to be taken into account. Goal: In this paper we present DIVERSE, a feature and sentiment centric retrieval approach which automatically provides developers with a diverse sample of user reviews that is representative of the different opinions and experiences mentioned in the whole set of reviews. Results: We evaluated the diversity retrieval performance of our approach on reviews from seven apps from two different app stores. We compared the reviews retrieved by DIVERSE with a feature-based retrieval approach and found that on average DIVERSE outperforms the baseline approach. Additionally, a controlled experiment revealed that DIVERSE can help develop- ers save time when analyzing user reviews and was considered useful for detecting conflicting opinions and software evolution. Conclusions: DIVERSE can therefore help developers collect a comprehensive set of reviews and aid in the detection of conflicting opinions.

Original languageEnglish
Title of host publication2015 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2015 - Proceedings
PublisherIEEE Computer Society
Pages21-30
Number of pages10
ISBN (Electronic)9781467378994
DOIs
Publication statusPublished - 5 Nov 2015
Externally publishedYes
EventACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2015 - Beijing, China
Duration: 22 Oct 201523 Oct 2015

Publication series

NameInternational Symposium on Empirical Software Engineering and Measurement
Volume2015-November
ISSN (Print)1949-3770
ISSN (Electronic)1949-3789

Conference

ConferenceACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2015
CountryChina
CityBeijing
Period22/10/1523/10/15

Keywords

  • Diversity in Software Engineering
  • Diversity Opinion Retrieval
  • Human Factors in Software Engineering
  • Software Evolution
  • User Feedback

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