Cost Estimation for Replacement of Large Computer Systems. Change of Vendors.

Abstract

In the last few years many aspects of computers and computer science have progressed from 'black art mystery' to a precise science. One of the 'black arts' that still remains is the ability to correctly estimate the cost of upgrading or expanding data processing operations, particularly those resulting in the changing of vendors. The federal government has been particularly plagued by gross underestimation of large-scale conversion costs in the past. Management responsible for making sound, economical decisions often lacks the experience in cost estimation needed to even include all the factors necessary for consideration when procuring new equipment. This thesis provides a guide to the manager/analyst who must develop a cost estimate to be used to select among competing vendors. Current cost estimation techniques are reviewed within the framework of government purchasing regulations and guidelines affecting computer procurement. Separate sections discuss intangible factors and their importance to the selection process. This background sets the proper perspective for the thesis' case study, which provides the basis for a post-implementation development of a list of intangible factors. (Author)

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1986
Accession Number
ADA171340

Entities

People

  • Mary C. Cobble

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Business Administration
  • Computer Programming
  • Computer Programs
  • Computer Science
  • Computers
  • Congress
  • Contracts
  • Data Processing
  • Employment
  • Government Procurement
  • Governments
  • Information Processing
  • Law
  • Management Personnel
  • Organizational Structure
  • Systems Management

Readers

  • Computational Modeling and Simulation
  • Life Cycle Cost Analysis
  • Systems Analysis and Design