• DocumentCode
    1958555
  • Title

    Software Analytics for Mobile Applications--Insights & Lessons Learned

  • Author

    Minelli, Roberto ; Lanza, Mario

  • Author_Institution
    REVEAL @ Fac. of Inf., Univ. of Lugano, Lugano, Switzerland
  • fYear
    2013
  • fDate
    5-8 March 2013
  • Firstpage
    144
  • Lastpage
    153
  • Abstract
    Mobile applications, known as apps, are software systems running on handheld devices, such as smartphones and tablet PCs. The market of apps has rapidly expanded in the past few years into a multi-billion dollar business. Being a new phenomenon, it is unclear whether approaches to maintain and comprehend traditional software systems can be ported to the context of apps. We present a novel approach to comprehend apps from a structural and historical perspective, leveraging three factors for the analysis: source code, usage of third-party APIs, and historical data. We implemented our approach in a web-based software analytics platform named SAMOA. We detail our approach and the supporting tool, and present a number of findings obtained while investigating a corpus of mobile applications. Our findings reveal that apps differ significantly from traditional software systems in a number of ways, which calls for the development of novel approaches to maintain and comprehend them.
  • Keywords
    application program interfaces; mobile computing; SAMOA platform; Web-based software analytics; mobile application; smart phone; software analytics; tablet PC; tablet personal computer; third-party API; Androids; History; Humanoid robots; Measurement; Mobile communication; Software systems; mining software repositories; mobile applications; software analytics; software evolution; software maintenance; software visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Maintenance and Reengineering (CSMR), 2013 17th European Conference on
  • Conference_Location
    Genova
  • ISSN
    1534-5351
  • Print_ISBN
    978-1-4673-5833-0
  • Type

    conf

  • DOI
    10.1109/CSMR.2013.24
  • Filename
    6498463