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Software patterns for fault injection in CPS engineering
Navet, Nicolas; Cibrario Bertolotti, Ivan; Hu, Tingting
2017In 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
Peer reviewed
 

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Keywords :
Software Fault Injection; Model-Driven Engineering; Software Patterns; Industrial Cyber-Physical Systems; CPAL
Abstract :
[en] Software fault injection is a powerful technique to evaluate the robustness of an application and guide in the choice of fault-tolerant mechanisms. It however requires a lot of time and know-how to be properly implemented, which severely hinders its applicability. We believe software fault injection can be made more “affordable” by automating it and have it integrated within a model-driven engineering design flow. We first propose in this paper a framework supporting these objectives. Then, illustrating on the domain-specific language CPAL, we present injection patterns that can be embedded in the application code and discuss the types of faults each supports, as well as implementation issues.
Disciplines :
Computer science
Author, co-author :
Navet, Nicolas ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Cibrario Bertolotti, Ivan;  National Research Council of Italy > Institute of Electronics, Computer and Telecommunication Engineering (IEIIT)
Hu, Tingting ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
External co-authors :
yes
Language :
English
Title :
Software patterns for fault injection in CPS engineering
Publication date :
2017
Event name :
22nd IEEE International Conference on Emerging Technologies And Factory Automation (ETFA’2017)
Event place :
Limassol, Cyprus
Event date :
from 12-09-2017 to 15-09-2017
Main work title :
2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
Publisher :
IEEE
ISBN/EAN :
978-1-5090-6505-9
Pages :
1-6
Peer reviewed :
Peer reviewed
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since 14 January 2018

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