Bayesian Software Prediction Models. Volume IV. Bayesian Software Correction Limit Policies.

Abstract

This report deals with the problem of determining an optimum correction limit policy for a large software system subject to random occurrences of errors in an operational phase. When an error occurs, the corrective action is scheduled for either the programmer (Phase I) or the system analyst (Phase II). Two cost models are developed and procedures for obtaining the optimum correction time T* are described to minimize the expected cost per unit time. Numerical examples are given to illustrate the procedure. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1978
Accession Number
ADA057873

Entities

People

  • Amrit L. Goel
  • K. Okumoto

Organizations

  • Syracuse University

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Air Force
  • Cost Models
  • Costs
  • Engineering
  • Engineers
  • Equations
  • Industrial Engineering
  • Information Science
  • Observation
  • Operations Research
  • Probability
  • Probability Density Functions
  • Random Variables
  • Sampling
  • Sequences
  • Systems Engineering

Readers

  • Computer Science.
  • Logistics and Supply Chain Management.
  • Regression Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference