• DocumentCode
    1852272
  • Title

    Understanding the Value of Software Engineering Technologies

  • Author

    Green, P. ; Menzies, Tim ; Williams, Steven ; El-Rawas, Oussama

  • Author_Institution
    Lane Dept. of CS & EE, West Virginia Univ., Morgantown, VA, USA
  • fYear
    2009
  • fDate
    16-20 Nov. 2009
  • Firstpage
    52
  • Lastpage
    61
  • Abstract
    When AI search methods are applied to software process models, then appropriate technologies can be discovered for a software project. We show that those recommendations are greatly affected by the business context of its use. For example, the automatic defect reduction tools explored by the ASE community are only relevant to a subset of software projects, and only according to certain value criteria. Therefore, when arguing for the value of a particular technology, that argument should include a description of the value function of the target user community.
  • Keywords
    artificial intelligence; software engineering; AI search methods; ASE community; automatic defect reduction tools; business context; software engineering technologies; software process models; software projects subset; target user community; Appropriate technology; Artificial intelligence; Equations; Programming; Project management; Search methods; Software engineering; Space technology; Technology management; USA Councils; artificial intelligence; software economics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automated Software Engineering, 2009. ASE '09. 24th IEEE/ACM International Conference on
  • Conference_Location
    Auckland
  • ISSN
    1938-4300
  • Print_ISBN
    978-1-4244-5259-0
  • Electronic_ISBN
    1938-4300
  • Type

    conf

  • DOI
    10.1109/ASE.2009.93
  • Filename
    5431782