• DocumentCode
    2787443
  • Title

    Identifying risks in expert system projects

  • Author

    Hillmer, Douglas ; La Salle, Anita J. ; Medsker, Larry ; Welsh, Greg

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Syst., American Univ., Washington, DC, USA
  • fYear
    1991
  • fDate
    30 Sep-2 Oct 1991
  • Firstpage
    45
  • Lastpage
    52
  • Abstract
    Expert systems (ESs) have associated risks that managers need to know as they consider new projects. The research reported is aimed at establishing a quantitative approach to assisting managers in identifying these risks. Results of empirical studies and new automated tools are discussed. The risks included: developing an application that fails to represent the expert´s knowledge; failure to produce a usable system; upsetting people and groups within the organization who may feel threatened by the planned ES application; and exposing themselves or the organization to legal liability claims resulting from a malfunction of an ES application
  • Keywords
    expert systems; human factors; legislation; project engineering; expert system projects; human factors; legal liability; project management software engineering; risk identification; Computer aided software engineering; Computer science; Expert systems; Information technology; Management information systems; Predictive models; Productivity; Project management; Risk management; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Developing and Managing Expert System Programs, 1991., Proceedings of the IEEE/ACM International Conference on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    0-8186-2250-4
  • Type

    conf

  • DOI
    10.1109/DMESP.1991.171768
  • Filename
    171768