Paper Info
Title
Empirical Study on the Interface and Feature Evolutions of Mobile Apps.
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.
Year
DOI
Venue
2016
10.1007/978-3-319-46295-0_45
Lecture Notes in Computer Science
Keywords
Field
DocType
Mobile Apps,Interface evolution,Feature evolution,Global inter-App Network
Data mining,Latent Dirichlet allocation,World Wide Web,Observable,Information retrieval,Computer science,Exhibition,Mobile apps,Empirical research
Conference
Volume
ISSN
Citations 
9936
0302-9743
2
PageRank 
References 
Authors
0.39
10
3
Name
Order
Citations
PageRank
Youqiang Hao120.39
Zhong-Jie Wang235664.60
Xiaofei Xu340870.26