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Analysis and testing of matlab simulink models: A systematic mapping study

 
: Elberzhager, F.; Rosbach, A.; Bauer, T.

:

Association for Computing Machinery -ACM-; Association for Computing Machinery -ACM-, Special Interest Group on Software Engineering -SIGSOFT-; Association for Computing Machinery -ACM-, Special Interest Group on Programming Languages -SIGPLAN-:
JAMAICA 2013, International Workshop on Joining AcadeMiA and Industry Contributions to Testing Automation. Proceedings : ISSTA 2013, July 15-20, 2013, Lugano, Switzerland
New York: ACM, 2013
ISBN: 978-1-4503-2161-7
pp.29-34
International Workshop on Joining AcadeMiA and Industry Contributions to Testing Automation (JAMAICA) <1, 2013, Lugano>
International Symposium on Software Testing and Analysis (ISSTA) <2013, Lugano>
English
Conference Paper
Fraunhofer IESE ()
analysis; testing; matlab simulink; systemic mapping study

Abstract
Matlab Simulink is one of the major modeling and simulation tools applied in different embedded systems domain. Quality assurance is an essential, but often highly effort-consuming part of software development. A lot of different quality assurance techniques exist to ensure high quality, but these analysis and testing techniques are often applied in isolation. Therefore, we are interested in synergy effects when applying them in combination. Consequently, we performed a systematic mapping study to identify the current state of the art regarding such quality assurance techniques and existing combinations. Our main result is a classification of existing quality assurance techniques applied on Matlab Simulink models, and an overview of existing tool support and the validity of the approaches.

: http://publica.fraunhofer.de/documents/N-264429.html