Towards Modelling and Analysing Non-Functional Properties of Systems of Systems
| Autor: | Laurent Gallon, Katrina Falkner, Manuel Munier, Vanea Chiprianov |
|---|---|
| Přispěvatelé: | Laboratoire Informatique de l'Université de Pau et des Pays de l'Adour (LIUPPA), Université de Pau et des Pays de l'Adour (UPPA), School of Computer Science, University of Adelaide |
| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
Engineering
architecture analysis Non functional Complex system 02 engineering and technology security [INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE] system of system Event-driven architecture [INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR] Unified Modeling Language framework 0202 electrical engineering electronic engineering information engineering Architecture computer.programming_language System of systems model business.industry 020207 software engineering prediction Architecture framework non-functional property Systems engineering 020201 artificial intelligence & image processing Software architecture business computer performance |
| Zdroj: | IEEE 9th International System of Systems Engineering Conference (SoSE'2014) IEEE 9th International System of Systems Engineering Conference (SoSE'2014), Jun 2014, Stamford Grand, Adelaide, Australia. pp.289-294 SoSE |
| Popis: | International audience; Systems of systems (SoS) are large-scale systems composed of complex systems with difficult to predict emergent properties. One of the most significant challenges in the engineering of such systems if how to predict their Non-Functional Properties (NFP) such as performance and security, and more specifically, how to model NFP when the overall system functionality is not available. In this paper, we identify, describe and analyse challenges to modelling and analysing the performance and security NFP of SoS. We define an architectural framework to SoS NFP prediction based on the modelling of system interactions and their impacts. We adopt an Event Driven Architecture to support this modelling, as it allows for more realistic and flexible NFP simulation, which enables more accurate NFP prediction. A framework integrating the analysis of several NFP allows for exploring the impacts of changes made to accommodate issues on one NFP on other NFPs. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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