Inference and Modeling for Repairable Systems and Software

Abstract

Three graduate students have been supported by the grant. And Tricia Jones is currently working with the Principal Investigator, Asit Basu, for her Ph.D. degree in statistics. The other two students, Mary Richardson and Larry Ries have completed their dissertations in December, 1995 and 1997. Interesting results on software reliability theory have been obtained. Comparative studies of existing methods are made. Also criteria are being developed as to when a software can be released to the users. Both Bayesian and frequentist approaches are considered.

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Document Details

Document Type
Technical Report
Publication Date
Apr 22, 1998
Accession Number
ADA360482

Entities

People

  • Asit P. Basu

Organizations

  • University of Missouri

Tags

Communities of Interest

  • Air Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Data Science
  • Electronic Mail
  • Information Science
  • Missouri
  • Physical Sciences
  • Reliability
  • Scientific Research
  • Statistics
  • Students
  • Theses
  • Transitions
  • United States Air Force Academy
  • Universities

Readers

  • Military History
  • Research Science/Academic Research
  • Statistical inference.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms