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Exploring Timing Model Extractions at EAST-ADL Design-level Using Model Transformations
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. Arcticus Systems AB, Jarfalla, Sweden.ORCID iD: 0000-0002-8027-0611
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. Arcticus Systems AB, Jarfalla, Sweden.ORCID iD: 0000-0003-3242-6113
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-0416-1787
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0001-7586-0409
2015 (English)In: Proceedings - 12th International Conference on Information Technology: New Generations, ITNG 2015, 2015, Vol. Article number 7113538, 596-600 p.Conference paper, Published paper (Refereed)
Abstract [en]

We discuss the problem of extracting control and data flows from vehicular distributed embedded systems at higher abstraction levels during their development. Unambiguous extraction of control and data flows is vital part of the end-to-end timing model which is used as input by the end-to end timinganalysis engines. The goal is to support end-to-end timing analysis at higher abstraction levels. In order to address the problem, we propose a two-phase methodology that exploits the principles of ModelDriven Engineering and Component Based Software Engineering. Using this methodology, the software architecture at a higher level is automatically transformed to all legal implementation-level models. The end-to-end timing analysis is performed on each generated implementation-level model and the analysis results are fed back to the design-level model. This activity supports design space exploration, modelrefinement and/or remodeling at higher abstraction levels for tuning the timing behavior of the system.

Place, publisher, year, edition, pages
2015. Vol. Article number 7113538, 596-600 p.
National Category
Computer Systems Embedded Systems
Identifiers
URN: urn:nbn:se:mdh:diva-28111DOI: 10.1109/ITNG.2015.100ISI: 000380407500099Scopus ID: 2-s2.0-84936816996ISBN: 978-1-4799-8827-3 (print)OAI: oai:DiVA.org:mdh-28111DiVA: diva2:818369
Conference
12th International Conference on Information Technology : New Generations ITNG 2015, 13-15 Apr 2015, Las Vegas, United States
Projects
Femmva - Functional- and execution-models in modern electronic vehicle architecturesSynthesizing Predictable Software for Distributed Embedded Systems
Available from: 2015-06-08 Created: 2015-06-08 Last updated: 2016-09-01Bibliographically approved
In thesis
1. Raising Abstraction of Timing Analysis through Model-Driven Engineering
Open this publication in new window or tab >>Raising Abstraction of Timing Analysis through Model-Driven Engineering
2015 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

 The complexity of software running on vehicular embedded systems is constantly

increasing and this negatively affects its development costs and time to

market. One way to deal with these issues is to boost abstraction in the form

of models to (i) ease the reasoning about the system architecture, (ii) automate

certain stages of the development, (iii) early detect flaws in the system architecture

through fundamental analysis and (iv) take appropriate countermeasures

before the system is implemented.

Considering the importance of timing requirements in the design of software

for vehicular embedded systems, in this licentiate thesis we leverage

Model-Driven Engineering for realizing a semi-automatic approach which allows

the developer to perform end-to-end delay timing analysis on design models,

without having to manually model timing elements and set their values.

The proposed approach, starting from a design model of an automotive

software functionality, automatically generates a set of models enriched with

timing elements whose values are set at generation time. End-to-end delay timing

analysis is run on the generated models and, based on the analysis results,

the approach automatically selects the generated models which better meet a

specific set of timing requirements.

Place, publisher, year, edition, pages
Västerås: Mälardalen University, 2015
Series
Mälardalen University Press Licentiate Theses, ISSN 1651-9256 ; 224
National Category
Computer Science
Research subject
Computer Science
Identifiers
urn:nbn:se:mdh:diva-29486 (URN)978-91-7485-245-5 (ISBN)
Presentation
2015-12-11, Lambda, Mälardalens högskola, Västerås, 10:00 (English)
Opponent
Available from: 2015-11-17 Created: 2015-11-16 Last updated: 2016-11-01Bibliographically approved

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Bucaioni, AlessioMubeen, SaadCicchetti, AntonioSjödin, Mikael

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