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Abstract
This paper presents experiences from five industry collaboration projects performed between 2004 – 2009 where solutions for embedded systems trace recording have been developed and evaluated; in four cases for specific industrial systems and in the last case as a generic solution for a commercial real-time operating system, in collaboration with the RTOS company. The experiences includes technical solutions regarding efficient instrumentation and logging, technology transfer issues and evaluation results regarding CPU and RAM overhead. A brief overview of the Tracealyzer tool is also presented, a result of the first project (2004) which still is used by ABB Robotics and now in commercialization.
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A comprehensive survey of industry practice in real-time systems
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Editors and Affiliations
School of Computer Science, University of Manchester, Kilburn Building, Oxford Road, M13 9PL, Manchester, UK
Howard Barringer
INRIA, Rennes - Bretagne Atlantique, France
Ylies Falcone
Department of Computer Science, Saarland University, 66123, Saarbrücken, Germany
Bernd Finkbeiner
Jet Propulsion Laboratory, M/S 3041-285, 4800 Oak Grove Drive, 91109, Pasadena, CA, USA
Klaus Havelund
PRECISE Center, Department of Computer and Information Science, University of Pennsylvania, 19104, Philadelphia, PA, USA
Insup Lee & Oleg Sokolsky &
Department of Computer Science, University of Malta, MSD 06, Msida, Malta
Gordon Pace
Department of Computer Science, University of Illinois at Urbana-Champaign, 201 N. Goodwin, 61801, Urbana, IL, USA
Grigore Roşu
Microsoft Research,, One Microsoft Way, 98052, Redmond, WA, USA
Nikolai Tillmann
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Kraft, J., Wall, A., Kienle, H. (2010). Trace Recording for Embedded Systems: Lessons Learned from Five Industrial Projects. In: Barringer, H., et al. Runtime Verification. RV 2010. Lecture Notes in Computer Science, vol 6418. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16612-9_24
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DOI: https://doi.org/10.1007/978-3-642-16612-9_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16611-2
Online ISBN: 978-3-642-16612-9
eBook Packages: Computer Science Computer Science (R0)
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