App Store Mining and Analysis

Created by W.Langdon from gp-bibliography.bib Revision:1.4549

  author =       "Afnan Al-Subaihin and Anthony Finkelstein and 
                 Mark Harman and Yue Jia and William Martin and 
                 Federica Sarro and Yuanyuan Zhang",
  title =        "App Store Mining and Analysis",
  booktitle =    "Third International Workshop on Software Development
                 Lifecycle for Mobile, DeMobile 2015",
  year =         "2015",
  editor =       "Aharon Abadi and Shah Rukh Humayoun and 
                 Henry Muccini",
  address =      "Bergamo, Italy",
  month =        "31 " # aug,
  note =         "Keynote",
  keywords =     "genetic algorithms, genetic programming, genetic
  URL =          "",
  size =         "2 pages",
  abstract =     "App stores are not merely disrupting traditional
                 software deployment practice, but also offer
                 considerable potential benefit to scientific research.
                 Software engineering researchers have never had
                 available, a more rich, wide and varied source of
                 information about software products. There is some
                 source code availability, supporting scientific
                 investigation as it does with more traditional open
                 source systems. However, what is important and
                 different about app stores, is the other data
                 available. Researchers can access user perceptions,
                 expressed in rating and review data. Information is
                 also available on app popularity (typically expressed
                 as the number or rank of downloads). For more
                 traditional applications, this data would simply be too
                 commercially sensitive for public release. Pricing
                 information is also partially available, though at the
                 time of writing, this is sadly submerging beneath a
                 more opaque layer of in-app purchasing. This talk will
                 review research trends in the nascent field of App
                 Store Analysis, presenting results from the UCL app
                 Analysis Group (UCLappA) and others, and will give some
                 directions for future work.",
  notes =        "

Genetic Programming entries for Afnan Al-Subaihin Anthony Finkelstein Mark Harman Yue Jia William Martin Federica Sarro Yuanyuan Zhang