Software Reliability: Estimation and Prediction

Abstract

The principal purpose of this research was to provide new tools for measuring probabilities of failure free operation of software systems and to develop methods for predictions of software reliability. Links are established between stochastic models of fault occurrence suggested by Scholtz (1985) and Miller (1986) and an important class of finite population sampling models called 'successive sampling' in the sample survey literature. Successive sampling consists of sampling a finite population of objects, each with an assigned magnitude, proportional to magnitude and without replacement. Recognition of linkages between Schoz and Miller's 'Exponential Order Statistics Models' and successive sampling allows application of an emerging body of research on methods of estimation for successive sampling models to software reliability estimation.

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Document Details

Document Type
Technical Report
Publication Date
Dec 31, 1992
Accession Number
ADA268895

Entities

People

  • Gordon Kaufman

Tags

DTIC Thesaurus Topics

  • Accuracy
  • Computer Programming
  • Contracts
  • Data Science
  • Information Science
  • Integrals
  • Literature
  • Models
  • Order Statistics
  • Probability
  • Random Variables
  • Reliability
  • Sampling
  • Software Development
  • Statistics
  • Surveys

Fields of Study

  • Engineering

Readers

  • Regression Analysis.
  • Software Engineering.