HUDU

Research on interoperability within development processes of Embedded Systems on an example


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Februar 2015

Beschreibung

Beschreibung

Master's Thesis from the year 2014 in the subject Engineering - Mechanical Engineering, grade: 1.0, University of Applied Sciences Karlsruhe (Fakultät für Maschinenbau und Mechatronik), language: English, abstract: This master thesis investigates the standard AUTOSAR (¿AUTomotive Open System ARchitecture¿) within the ARTEMIS Joint Undertaking project CRYSTAL (¿CRitical sYSTem engineering AcceLeration¿), which is concerned with the development of interoperability-technology for System Engineering Environments. This work identifies a conflict between the application of the development-scheme ¿AUTOSAR-Methodology¿ and the superior industrial trend of Model-based Software Engineering. Founded on specialized literature, the mentioned problem can be titled as ¿Frontloading¿. This methodological issue is such a fundamental aspect for the utilization of AUTOSAR that the present elaboration concentrates on it and refrains from interoperability-technology as focused by the paramount project. In the light of the motivation indicated in the acronym of CRYSTAL, clarifying this methodological aspect constitutes a fundamental contribution to efficiency in the engineering of Embedded Systems. This master thesis elucidates in detail the phenomenon ¿Frontloading¿ and its symptoms in software-development with AUTOSAR. The elaboration is based on a rich automotive function-example, which is developed in accordance with the established paradigm of Model-based Software Engineering. Although AUTOSAR adheres to the latter, its application demands own specific procedures to produce automotive functions. This work finally delivers a concept for the efficient handling of AUTOSAR within Model-based Software Engineering with respect to Frontloading, associating requirements to corresponding development-artefacts.
EAN: 9783656897965
Untertitel: A concept for tackling Frontloading in Model-based Engineering with AUTOSAR. Sprache: Englisch. Dateigröße in MByte: 19.
Verlag: GRIN Verlag
Erscheinungsdatum: Februar 2015
Seitenanzahl: 147 Seiten
Format: pdf eBook
Kopierschutz: Keiner
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