A Survey of App Store Analysis for Software Engineering

By William J. Martin, Federica Sarro, Yue Jia, Yuanyuan Zhang, Mark Harman. IEEE Transactions on Software Engineering, 2017

452 citations recorded by the source corpus.

App Store Analysis studies information about applications obtained from app stores. App stores provide a wealth of information derived from users that would not exist had the applications been distributed via previous software deployment methods. App Store Analysis combines this non-technical information with technical information to learn trends and behaviours within these forms of software repositories. Findings from App Store Analysis have a direct and actionable impact on the software teams that develop software for app stores, and have led to techniques for requirements engineering, release planning, software design, security and testing. This survey describes and compares the areas of research that have been explored thus far, drawing out common aspects, trends and directions future research should take to address open problems and challenges.

Subfields: Information Systems, Software, Signal Processing

View Paper: https://www.semanticscholar.org/paper/a75965753906c24a6a5715a695757a0de8447f26

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems

  1. Shin Yoo
  2. Mark Harman
  3. Yves Le Traon
  4. Mike Papadakis
  5. Jacques Klein
  6. Damien Octeau
  7. Alexandre Bartel
  8. Shubho Sengupta

In Software

  1. Shin Yoo
  2. Mark Harman
  3. Yves Le Traon
  4. Mike Papadakis
  5. Shubho Sengupta
  6. Mitya Lyubarskiy
  7. Jie M. Zhang
  8. Angela Fan

In Signal Processing

  1. Jacques Klein
  2. Yves Le Traon
  3. Damien Octeau
  4. Alexandre Bartel
  5. Tégawendé F. Bissyandé
  6. Shin Yoo
  7. Mark Harman
  8. Siegfried Rasthofer

Citations in the corpus