Software Reliability Prediction for Army Vehicle

Abstract

Army vehicles are complex due to various on-board mission critical communication devices. The Army cannot afford unreliable software to interact between the devices. The Army vehicle software's reliability is influenced by multiple factors during or prior to its development. Using complex statistical and mathematical models, software's reliability can be predicted, but it is dependent on the accuracy and context of the historical software failure data. The cost of developing such complex models does not yield a good return on investment. The data collection process to use these models is very difficult and time consuming. In this paper, we propose reliability metrics based on the current software development and design process factors. We also propose a fuzzy logic based software reliability prediction algorithm using the proposed reliability metrics.

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Document Details

Document Type
Technical Report
Publication Date
Aug 09, 2011
Accession Number
ADA547337

Entities

People

  • Harpreet Singh
  • Macam S. Dattathreya

Organizations

  • United States Army Tank Automotive Research, Development and Engineering Center

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Command And Control
  • Data Storage Systems
  • Environment
  • Fuzzy Logic
  • Fuzzy Sets
  • Governments
  • Language
  • Logic
  • Probability
  • Reliability
  • Software Design
  • Software Development
  • United States
  • United States Government
  • Vehicles

Fields of Study

  • Computer science
  • Engineering

Readers

  • Computational Modeling and Simulation
  • Inertial Navigation Systems.
  • Military Science and Technology Research and Modernization.