Design and implementation of an Intelligent Cost Estimation Model for Decision Support System software

Recently, Decision Support Systems (DSS) have increased in importance and usage. However, these increases have not carried over into developing better models to estimate the real cost of developing the DSS. This thesis explores various estimation methods that seem pertinent to DSS. It advocates the use of a combination of modeling tools particularly tailored to the users' environment. An Intelligent Cost Estimation Model (ICEM) for Decision Support System software is proposed. To promote user-friendliness, ICEM uses a rule based front end interface coupled to a spreadsheet program. For comparison purposes the current version of ICEM includes the Intermediate COCOMO model, the Intermediate COCOMO model particularly calibrated for the in-house DSS development environment, and a parametric model which incorporates the function point size metric.

Department dc:contributor.department

Information Systems

Grantor dc:publisher

Monterey, CA; Naval Postgraduate School

Year dc:date.issued

1990

Author dc:creator

• Blazer, William E.

Advisors dc:contributor.advisor

• Bui, Tung X.
• Abdel-Hamid, Tarek K.

Statement dc:rights

• This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.

Handle dc:identifier.uri

https://hdl.handle.net/10945/34873

OAI identifier oai:identifier

oai:calhoun.nps.edu:10945/34873