Sökning: id:"swepub:oai:DiVA.org:mdh-31479" >
Refining timing req...
Refining timing requirements in extended models of legacy vehicular embedded systems using early end-to-end timing analysis
-
- Mubeen, Saad (författare)
- Mälardalens högskola,Inbyggda system
-
- Nolte, Thomas (författare)
- Mälardalens högskola,Inbyggda system
-
- Lundbäck, J. (författare)
- Arcticus Systems AB, Jarfalla, Sweden
-
visa fler...
-
- Gålnander, M. (författare)
- Arcticus Systems AB, Jarfalla, Sweden
-
- Lundbäck, K. -L (författare)
- Arcticus Systems AB, Jarfalla, Sweden
-
visa färre...
-
(creator_code:org_t)
- 2016-03-29
- 2016
- Engelska.
-
Ingår i: Advances in Intelligent Systems and Computing, Volume 448. - Cham : Springer International Publishing. - 9783319324661 ; , s. 497-508
- Relaterad länk:
-
https://urn.kb.se/re...
-
visa fler...
-
https://doi.org/10.1...
-
visa färre...
Abstract
Ämnesord
Stäng
- Model and component-based development approaches have emerged as an attractive option to deal with the complexity of vehicle software. Using these approaches, we provide a method to estimate and refine end-to-end timing requirements in vehicular distributed embedded systems that are developed by reusing the models of legacy systems. This method leverages on the early end-to-end timing analysis that can be performed at the highest abstraction level during the development of these systems. As a proof of concept, we conduct a vehicular-application case study to show the process of estimating and refining the timing requirements early during the development. The case study is modeled with the Rubus-ICE tool suite that is used for the software development of vehicular embedded systems by several international companies.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Datorsystem (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Computer Systems (hsv//eng)
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
Hitta via bibliotek
Till lärosätets databas