• DocumentCode
    1911005
  • Title

    Exploiting Unique Characteristics of Mobile Backend Services to Recommend Right Ones

  • Author

    Guangtai Liang ; Lijun Mei ; Shaochun Li ; Liang Chen

  • Author_Institution
    IBM Res., Beijing, China
  • fYear
    2015
  • fDate
    June 27 2015-July 2 2015
  • Firstpage
    464
  • Lastpage
    467
  • Abstract
    To accelerate the development of mobile apps, more and more third-party services that can be consumed as mobile backend services are available for the consumption of mobile developers. However, with the growth of mobile backend services, it turns to be a more and more challenging process for mobile developers to discover mobile backend services with high return-on-investment (ROI). Due to the unique characteristics of mobile backend services, directly applying existing Web service recommendation solutions for mobile backend services is ineffective. In this paper, we systematically studied and summarized four unique characteristics of mobile backend services. Based on these four unique characteristics, we proposed an extendable recommendation approach for mobile backend services to help mobile developers to efficiently identify what they really need. Through the empirical evaluations that we conducted on hundreds of open mobile backend services, we demonstrated the effectiveness and efficiency of the proposed approach.
  • Keywords
    Web services; mobile computing; recommender systems; software engineering; ROI; Web service recommendation; mobile backend service; mobile developer; return-on-investment; Feature extraction; Measurement; Mobile communication; Monitoring; Runtime; Time factors; Web services; Service recommendation; Web services; mobile backend services; unique characteristics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mobile Services (MS), 2015 IEEE International Conference on
  • Conference_Location
    New York, NY
  • Print_ISBN
    978-1-4673-7283-1
  • Type

    conf

  • DOI
    10.1109/MobServ.2015.70
  • Filename
    7226726