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App update patterns: How developers Act on user reviews in mobile app stores

  • Harbin Institute of Technology
  • Macquarie University

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

Abstract

Mobile app stores receive numerous reviews that contain valuable feedbacks raised by users. Incorporating user reviews into iterative delivery of new App versions would improve the quality and ratings of Apps. To date, there is no explicit answer on whether and to what degree App developers make use of user reviews sufficiently and timely. In this paper, we extract requested features in user reviews and updated features in new versions, identify the latent relation between them, and discover 7 types of Update Patterns (UPs) by grouping similar Atomic Update Units (AUs). UPs delineate common behavioral characteristics of acting on user reviews from perspectives of feature intensity trend, sufficiency and responsiveness. Statistics are conducted to explore the similarity/difference between exhibited update patterns w.r.t. Apps, features, and time. Results would help developers get a clear understanding on their own habits on how to act on user reviews, and thus offer suggestions on utilizing user reviews more efficiently in App development.

Original languageEnglish
Title of host publicationService-Oriented Computing - 15th International Conference, ICSOC 2017, Proceedings
EditorsMarc Oriol, Antonio Vallecillo, Michael Maximilien, Jianmin Wang
PublisherSpringer Verlag
Pages125-141
Number of pages17
ISBN (Print)9783319690346
DOIs
StatePublished - 2017
Event15th International Conference on Service-Oriented Computing, ICSOC 2017 - Malaga, Spain
Duration: 13 Nov 201716 Nov 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10601 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th International Conference on Service-Oriented Computing, ICSOC 2017
Country/TerritorySpain
CityMalaga
Period13/11/1716/11/17

Keywords

  • App store
  • Atomic update unit (AU)
  • Empirical study
  • Mobile app
  • Update pattern (UP)
  • User review

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