A Comparative Analysis of Reliability Growth Models,

Abstract

Reliability growth modeling is a methodology which seeks to monitor reliability improvement of a system under development. When competently used, reliability growth models can assist program management in making decisions pertinent to the accomplishment of development objectives. The models available in the literature are diverse, both in structure and technique. To facilitate the proper use of reliability growth models, the paper provides a qualitative study of selected growth models. A representative collection of models are catalogued using the following classifications: (1) Deterministic, (2) Parametric, (3) Bayesian, and (4) Special. The nature of each model is discussed with particular reference to model derivation, physical structure, test data requirements, and application by the model user. (Author)

Document Details

Document Type
Technical Report
Publication Date
May 01, 1973
Accession Number
AD0768119

Entities

People

  • Michael F. Bauman

Organizations

  • United States Army Materiel Command

Tags

DTIC Thesaurus Topics

  • Classification
  • Literature
  • Program Management
  • Reliability
  • Systems Management

Readers

  • Computational Modeling and Simulation
  • Systems Analysis and Design
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - DoD AI Strategy