DocumentCode :
2634356
Title :
Safety Assessment of Design Patterns for Safety-Critical Embedded Systems
Author :
Armoush, Ashraf ; Beckschulze, Eva ; Kowalewski, Stefan
Author_Institution :
Embedded Software Lab., RWTH Aachen Univ., Aachen, Germany
fYear :
2009
fDate :
27-29 Aug. 2009
Firstpage :
523
Lastpage :
527
Abstract :
System safety is considered as one of the most important non-functional requirements for safety-critical embedded systems. Several safety assessment methods have been proposed to evaluate safety-critical systems. However, most of them cannot be used to assess safety-critical design patterns due to the fact that these patterns do not address real systems but present abstract solutions to commonly recurring design problems. This paper introduces a proposal for a safety assessment method for safety-critical systems design patterns. This method includes a safety metric based on the computation of the relative safety improvement achieved when using the design patterns under consideration. A Monte Carlo based simulation method is used to illustrate the new proposed assessment method which allows to compare them with respect to their impact on safety.
Keywords :
Monte Carlo methods; embedded systems; object-oriented programming; safety-critical software; software metrics; software process improvement; Monte Carlo based simulation method; nonfunctional requirements; safety assessment methods; safety improvement; safety metric; safety-critical design patterns; safety-critical embedded systems; system safety; Application software; Computational modeling; Design methodology; Embedded software; Embedded system; Laboratories; Monte Carlo methods; Proposals; Software engineering; Software safety; Design Pattern; Safety Assessment; Safety-Critical;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering and Advanced Applications, 2009. SEAA '09. 35th Euromicro Conference on
Conference_Location :
Patras
ISSN :
1089-6503
Print_ISBN :
978-0-7695-3784-9
Type :
conf
DOI :
10.1109/SEAA.2009.12
Filename :
5350015
Link To Document :
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