RELSPEC: a framework for reliability aware design of component based embedded systems
Autor: | Aritra Hazra, Saurav Kumar Ghosh, Partha Chakrabarti, Satya Gautam Vadlamudi, Soumyajit Dey, P. Vishnuvardhan |
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Rok vydání: | 2017 |
Předmět: |
021110 strategic
defence & security studies Computer science business.industry Design flow 0211 other engineering and technologies Probabilistic logic Automotive industry 020207 software engineering 02 engineering and technology Specification language Reliability engineering Domain (software engineering) Hardware and Architecture Component (UML) Embedded system Scalability 0202 electrical engineering electronic engineering information engineering business Software Reliability (statistics) |
Zdroj: | Design Automation for Embedded Systems. 21:37-87 |
ISSN: | 1572-8080 0929-5585 |
DOI: | 10.1007/s10617-017-9183-y |
Popis: | With the increase in the complexity of safety-critical embedded applications, the reliability analysis of such systems have also become increasingly difficult. For such complex system specifications, if the reliability provisions are declared upfront in the design flow then the overall system level reliability can be easily inferred given that the system components satisfy their individual reliability requirements. Moreover, such an early-stage specification and analysis paves newer and scalable ways for synthesis of reliable systems. This paper develops a reliability specification and analysis framework, RELSPEC, which enables system level reliability analysis at an early-stage of design by leveraging automatically constructed intermediate probabilistic models of the system. In addition to this, we provide a mechanized method of system synthesis with the objective of satisfying a target reliability value for the overall system. To this end, we explore the application of existing optimization methods and also provide domain specific techniques which outperform such existing methods. Experiments over a few automotive case-studies show the efficacy of this methodology. |
Databáze: | OpenAIRE |
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