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
fDate :
30 Sep-2 Oct 1991
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;
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
DOI :
10.1109/DMESP.1991.171768