Compositional Verification of Architectural Models

Loading...
Thumbnail Image

Persistent link to this item

Statistics
View Statistics

Journal Title

Journal ISSN

Volume Title

Title

Compositional Verification of Architectural Models

Published Date

2012

Publisher

Springer-Verlag

Type

Report

Abstract

This paper describes a design flow and supporting tools to significantly improve the design and verification of complex cyber-physical systems. We focus on system architecture models composed from libraries of components and complexity-reducing design patterns having formally verified properties. This allows new system designs to be developed rapidly using patterns that have been shown to reduce unnecessary complexity and coupling between components. Components and patterns are annotated with formal contracts describing their guaranteed behaviors and the contextual assumptions that must be satisfied for their correct operation. We describe the compositional reasoning framework that we have developed for proving the correctness of a system design, and provide a proof of the soundness of our compositional reasoning approach. An example based on an aircraft flight control system is provided to illustrate the method and supporting analysis tools.

Keywords

Description

Associated research group: Critical Systems Research Group

Related to

Replaces

License

Series/Report Number

Funding information

Isbn identifier

Doi identifier

Previously Published Citation

Proceedings of the Fourth NASA Formal Methods Symposium, Norfolk, VA, April 3-5, 2012

Suggested citation

Cofer, Darren; Gacek, Andrew; Miller, Steven; Whalen, Michael. (2012). Compositional Verification of Architectural Models. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/217393.

Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.