The Application of Regression-Based and Function Point Software Sizing Techniques to Air Force Programs

Abstract

This study investigated the ability to develop regression models to predict the number of source lines of code (SLOC) and the degree of correlation between function points and the number of SLOC. Since software size -- or the number of lines of code (LOC) -- is considered to be the primary software cost driver, accurate software size estimates are critical because of the growing importance of software in today's Department of Defense (DoD) weaon systems. For the regression analysis, four sizing data bases, containing various functional (Independent) variables, were used. These variables included complexity, reliability, the program's quality of specification, etc. Theses.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1988
Accession Number
ADA201538

Entities

People

  • Frank Albanese Jr

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • C4I
  • Materials and Manufacturing Processes
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Application Software
  • Computer Programming
  • Computer Programs
  • Computers
  • Cost Analysis
  • Cost Estimates
  • Cost Models
  • Databases
  • Economic Analysis
  • Information Science
  • Logistics
  • Machine Languages
  • Regression Analysis
  • Software Development
  • Statistical Analysis
  • Systems Engineering

Fields of Study

  • Computer science
  • Engineering

Readers

  • Computational Modeling and Simulation
  • Software Engineering.