Model-based co-engineering and NFP analysis in embedded software sub-systems developed using heterogeneous modeling domains

Autor(en): Iyenghar, P.
Noyer, A.
Engelhardt, J.
Pulvermueller, E. 
Stichwörter: co-engineering; Embedded software; Embedded systems; Experimental evaluation; Heterogeneous modeling; heterogenous domains; Industrial informatics; Interdisciplinary teams; MATLAB; MATLAB /simulink; Matlab/Simulink; Model domains; Model-based OPC; Non functional properties, Reliability analysis; reliability analysis; Software reliability; UML; Unified Modeling Language, Embedded software systems
Erscheinungsdatum: 2016
Herausgeber: Institute of Electrical and Electronics Engineers Inc.
Journal: IEEE International Conference on Industrial Informatics (INDIN)
Volumen: 0
Startseite: 1154
Seitenende: 1161
Zusammenfassung: 
In Embedded Software Engineering (ESE) scenarios involving heterogeneous modeling domains, the sub-systems may be developed using more than one modeling domain. In such scenarios, the need arises for co-engineering and model-based synchronization of Non-Functional Properties (NFPs) which are spread/linked across various modeling domains, before performing an NFP analysis. This paper proposes an integrated, generic workflow for model-based co-engineering and NFP analysis of embedded software systems developed by interdisciplinary teams, using heterogeneous modeling domains. Based on this workflow, a mechanism for model-based co-engineering and reliability analysis of an embedded software system, developed using Unified Modeling Language (UML) and Matlab/Simulink is discussed. An experimental evaluation of the proposed mechanism is presented. © 2016 IEEE.
Beschreibung: 
Conference of 14th IEEE International Conference on Industrial Informatics, INDIN 2016 ; Conference Date: 19 July 2016 Through 21 July 2016; Conference Code:126001
ISBN: 9781509028702
ISSN: 19354576
DOI: 10.1109/INDIN.2016.7819340
Externe URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85012888102&doi=10.1109%2fINDIN.2016.7819340&partnerID=40&md5=bf6228b8464e5c1aab0d807202795a6a

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