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Empirical study on the interface and feature evolutions of mobile apps

  • Harbin Institute of Technology

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

Abstract

We make an empirical study on App evolution, especially on inter-App interface evolution and inner-App feature evolution, both from externally observable exhibitions of Apps. Interfaces are extracted from .apk files, and statistical methods are used to discover underlying patterns of interface evolution. Furthermore, potential trend on how interface evolutions of Apps result in the evolution of Global inter-App Network (GAN) is observed. Latent Dirichlet Allocation (LDA) is applied to extract updated features (“topics”) from “What’s New” of each version to explore the underlying patterns of feature evolution. A set of significant phenomena have been observed from the empirical study.

Original languageEnglish
Title of host publicationService-Oriented Computing - 14th International Conference, ICSOC 2016, Proceedings
EditorsSamir Tata, Eleni Stroulia, Sami Bhiri, Quan Z. Sheng
PublisherSpringer Verlag
Pages657-665
Number of pages9
ISBN (Print)9783319462943
DOIs
StatePublished - 2016
Event14th International Conference on Service-Oriented Computing, ICSOC 2016 - Banff, Canada
Duration: 10 Oct 201613 Oct 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9936 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference14th International Conference on Service-Oriented Computing, ICSOC 2016
Country/TerritoryCanada
CityBanff
Period10/10/1613/10/16

Keywords

  • Feature evolution
  • Global inter-app network
  • Interface evolution
  • Mobile apps

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