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Approximate Worst-Case Execution Time Analysis for Early Stage Embedded Systems Development
Mälardalen University, School of Innovation, Design and Engineering.ORCID iD: 0000-0001-6571-0175
University of Applied Sciences, Darmstadt, Germany .
Mälardalen University, School of Innovation, Design and Engineering.
Mälardalen University, School of Innovation, Design and Engineering.ORCID iD: 0000-0001-5297-6548
2009 (English)In: SOFTWARE TECHNOLOGIES FOR EMBEDDED AND UBIQUITOUS SYSTEMS, PROCEEDINGS, Springer, 2009, p. 308-319Chapter in book (Refereed)
Abstract [en]

A Worst-Case Execution Time (WCET) analysis finds upper bounds for the execution time of programs. Reliable WCET estimates are essential in the development of safety-critical embedded systems, where failures to meet timing deadlines can have catastrophic consequences. Traditionally, WCET analysis is applied only in the late stages of embedded system software development. This is problematic, since WCET estimates are often needed already in early stages of system development, for example as inputs to various kinds of high-level embedded system engineering tools such as modelling and component frameworks, scheduling analyses, timed automata, etc. Early WCET estimates are also useful for selecting a suitable processor configuration (CPU, memory, peripherals, etc.) for the embedded system. If early WCET estimates are missing, many of these early design decisions have to be made using experience and ``gut feeling''. If the final executable violates the timing bounds assumed in earlier system development stages, it may result in costly system re-design. This paper presents a novel method to derive approximate WCET estimates at early stages of the software development process. The method is currently being implemented and evaluated. The method should be applicable to a large variety of software engineering tools and hardware platforms used in embedded system development, leading to shorter development times and more reliable embedded software.

Place, publisher, year, edition, pages
Springer, 2009. p. 308-319
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 5860
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:mdh:diva-9179DOI: 10.1007/978-3-642-10265-3_28ISI: 000276892000028Scopus ID: 2-s2.0-78650267213ISBN: 978-3-642-10264-6 (print)OAI: oai:DiVA.org:mdh-9179DiVA, id: diva2:301752
Note

7th IFIP WG 10.2 International Workshop, SEUS 2009 Newport Beach, CA, USA, November 16-18

Available from: 2010-03-03 Created: 2010-03-03 Last updated: 2016-05-17Bibliographically approved

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Gustafsson, JanLisper, Björn

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