Methodology for Software Reliability Prediction. Volume 1.

Abstract

The variation in fault density on Air Force programs in enormous: the worst programs are 390 times more error-prone than the best. Obviously, there are some critical differences in these programs that cause more errors to be introduced or left undetected. If we could solve the problem of what these differences are and how to control them, then we would have learned something fundamental about the occurrence of errors in software and how to avoid them. This report describes the results of a research and development effort to develop a methodology for predicting and estimating software reliability. A software Reliability Measurement Framework was established which spans the life cycle of a software reliability. Data from 59 systems, representing over 5 million lines of code, were analyzed and generally applicable observations about software reliability were made. A detailed approach to the collection and analysis of reliability data is also presented.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1987
Accession Number
ADA190018

Entities

People

  • C. Bowen
  • J. Mccall
  • N. Mckelvey
  • R. Senn
  • W. Randall

Organizations

  • Leidos

Tags

Communities of Interest

  • C4I
  • Engineered Resilient Systems
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Application Software
  • Computer Programming
  • Computer Programs
  • Computers
  • Databases
  • Information Processing
  • Information Science
  • Information Systems
  • Jet Propulsion
  • Management Personnel
  • Regression Analysis
  • Software Development
  • Software Development Tools
  • Software Testing
  • Statistical Analysis
  • System Software
  • Test And Evaluation

Fields of Study

  • Engineering

Readers

  • Software Engineering.
  • Statistical inference.
  • Systems Analysis and Design