Assurance for Software-Reliant Systems

Abstract

At the Software Engineering Institute (SEI), we are developing tools and methods to document and predict the dependability of a system where it is infeasible or too costly to depend only on testing.

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Document Details

Document Type
Technical Report
Publication Date
May 15, 2010
Accession Number
AD1147299

Entities

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Abstracts
  • Best Practices
  • Case Studies
  • Complex Systems
  • Department Of Defense
  • Engineering
  • Engineers
  • Leading Edges
  • Nuclear Reactors
  • Reactor Shutdown
  • Safety
  • Software Design
  • Software Development
  • System Of Systems
  • System Safety
  • Test And Evaluation
  • Websites

Fields of Study

  • Computer science
  • Engineering