Software Support Cost Estimating Models: A Comparative Study of Model Content and Parameter Sensitivity

Abstract

This research entailed a comparison of five software estimating models: PRICE-S, SEER-SEM, SoftCost-OO, SoftEst, and SPR KnowledgePLAN. The objective was to research the differences of the software models as related to software support cost. The following major question areas were addressed: (1) How do the differences between the models impact the resulting cost estimates? (2) To what degree can we explain and adjust for the differences between cost models? All items were for flight avionics of a manned aircraft. The differences between the models significantly impact the resulting estimates. Over the five models evaluated, a range of over $60 million occurred during a twenty year estimate. The researchers can explain the differences in the models due to the different algorithms used, but were not able to normalize the models to achieve equivalent estimates. The researchers feel a typical user will not be able to normalize separate models and should, therefore, concentrate on learning one or two models in detail. Different models are more appropriate depending on the task or project being estimated.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1998
Accession Number
ADA354293

Entities

People

  • Kevin L. Brummert
  • Philip Mischler Jr.

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Business Administration
  • Computer Programming
  • Computer Programs
  • Computers
  • Cost Analysis
  • Cost Estimates
  • Databases
  • Delphi Method
  • Geography
  • Information Science
  • Management Personnel
  • Operating Systems
  • Software Development
  • Software Testing
  • Test And Evaluation

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Educational Psychology
  • Software Engineering.