Design and Implementation of an Intelligent Cost Estimation Model for Decision Support System Software

Abstract

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.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1990
Accession Number
ADA241322

Entities

People

  • William E. Blazer

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • C4I
  • Human Systems
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Calibration
  • Computer Program Reliability
  • Computer Programming
  • Computer Programs
  • Computers
  • Database Management Systems
  • Databases
  • Expert Systems
  • Information Systems
  • Jet Propulsion
  • Language
  • Programming Languages
  • Software Development
  • System Software
  • Test And Evaluation

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Software Engineering.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.