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Title
Increasing dependability in Safety Critical CPSs using Reflective Statecharts
Author
Illarramendi, Miren
Elkorobarrutia, Xabier
Etxeberria, Leire
Sagardui, Goiuria
Research Group
Ingeniería del software y sistemas
Version
Postprint
Rights
© 2017 Springer International Publishing AG
Access
Open access
URI
https://hdl.handle.net/20.500.11984/5676
Publisher’s version
https://doi.org/10.1007/978-3-319-66284-8_11
Published at
Computer Safety, Reliability, and Security. SAFECOMP 2017  Editors, S. Tonetta, E. Schoitsch, F. Bitsch. Lecture Notes in Computer Science. Vol. 10489. Springer, 2017
Publisher
Springer
Keywords
Fault Tolerance
monitoring
Statecharts
Safety-critical embedded systems ... [+]
Fault Tolerance
monitoring
Statecharts
Safety-critical embedded systems
Cyber Physical Systems
Reflection
Introspection [-]
Abstract
Dependability is crucial in Safety Critical Cyber Physical Systems (CPS). In spite of the research carried out in recent years, implementation and certification of such systems remain costly and time ... [+]
Dependability is crucial in Safety Critical Cyber Physical Systems (CPS). In spite of the research carried out in recent years, implementation and certification of such systems remain costly and time consuming. In this paper, a framework for Statecharts based SW component development is presented. This framework called CRESC (C++ REflective StateCharts), in addition to assisting in transforming a Statechart model to code, uses reflection to make the model available at Run Time. Thus, the SW components can be monitored at Run Time in terms of model elements. Our framework helps the developer separate monitoring from functionality. Any monitoring strategy needed to increase dependability can be added independently from the functional part. The framework was implemented in C++ because this programming language, together with the Statechart formalism constitute widely used choices for the Safety Critical CPS domain. [-]
xmlui.dri2xhtml.METS-1.0.item-sponsorship
Gobierno Vasco-Eusko Jaurlaritza
xmlui.dri2xhtml.METS-1.0.item-projectID
info:eu-repo/grantAgreement/EC/H2020/737459/EU/Electronics and ICT as enabler for digital industry and optimized supply chain management covering the entire product lifecycle/PRODUCTIVE4.0
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