A Quantitative Approach to Analyzing Architectures in the Presence of Uncertainty

Abstract

The concepts and technique that underlie architectural analysis are well understood in the research community. However, many of these approaches do not incorporate uncertainty into their techniques. This forces the architect to specify precisely properties that are not well defined or to analyze the system qualitatively, providing an imprecise representation of the properties the system will exhibit. This paper presents a technique for analyzing architectural models that exhibit probabilistic behavior and discusses the systemic properties that can be identified through this form of analysis.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2009
Accession Number
ADA507008

Entities

People

  • David Garlan
  • Harrison Strowd

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Complex Systems
  • Computer Science
  • Engine Clusters
  • Language
  • Markov Chains
  • Military Research
  • Probabilistic Models
  • Probability
  • Reliability
  • Simulations
  • Software Design
  • Software Development
  • Specifications
  • Standards
  • Steady State
  • Uncertainty
  • United States

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Systems Analysis and Design