9 Search Results for "Gustafsson, Jan"

Document
DOI: 10.4230/OASIcs.WCET.2015.85
Analysing Switch-Case Code with Abstract Execution

Authors: Niklas Holsti, Jan Gustafsson, Linus Källberg, and Björn Lisper

Published in: OASIcs, Volume 47, 15th International Workshop on Worst-Case Execution Time Analysis (WCET 2015)

Abstract
Constructing the control-flow graph (CFG) of machine code is made difficult by dynamic transfers of control (DTC), where the address of the next instruction is computed at run-time. Switchcase statements make compilers generate a large variety of machine-code forms with DTC. Two analysis approaches are commonly used: pattern-matching methods identify predefined instruction patterns to extract the target addresses, while analytical methods try to compute the set of target addresses using a general value-analysis. We tested the abstract execution method of the SWEET tool as a value analysis for switch-case code. SWEET is here used as a plugin to the Bound-T tool: thus our work can also be seen as an experiment in modular tool design, where a general value-analysis tool is used to aid the CFG construction in a WCET analysis tool. We find that the abstract-execution analysis works at least as well as the switch-case analyses in Bound-T itself, which are mostly based on pattern-matching. However, there are still some weaknesses: the abstract domains available in SWEET are not well suited to representing sets of DTC target addresses, which are small but sparse and irregular. Also, in some cases the abstract-execution analysis fails because the used domain is not relational, that is, does not model arithmetic relationships between the values of different variables. Future work will be directed towards the design of abstract domains eliminating these weaknesses.
Cite as

Niklas Holsti, Jan Gustafsson, Linus Källberg, and Björn Lisper. Analysing Switch-Case Code with Abstract Execution. In 15th International Workshop on Worst-Case Execution Time Analysis (WCET 2015). Open Access Series in Informatics (OASIcs), Volume 47, pp. 85-94, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2015)

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@InProceedings{holsti_et_al:OASIcs.WCET.2015.85,
  author =	{Holsti, Niklas and Gustafsson, Jan and K\"{a}llberg, Linus and Lisper, Bj\"{o}rn},
  title =	{{Analysing Switch-Case Code with Abstract Execution}},
  booktitle =	{15th International Workshop on Worst-Case Execution Time Analysis (WCET 2015)},
  pages =	{85--94},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-95-8},
  ISSN =	{2190-6807},
  year =	{2015},
  volume =	{47},
  editor =	{Cazorla, Francisco J.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.WCET.2015.85},
  URN =		{urn:nbn:de:0030-drops-52598},
  doi =		{10.4230/OASIcs.WCET.2015.85},
  annote =	{Keywords: ynamic control flow, indexed branch, machine-code analysis, WCET analysis}
}
Document
DOI: 10.4230/OASIcs.WCET.2012.38
Toward Static Timing Analysis of Parallel Software

Authors: Andreas Gustavsson, Jan Gustafsson, and Björn Lisper

Published in: OASIcs, Volume 23, 12th International Workshop on Worst-Case Execution Time Analysis (2012)

Abstract
The current trend within computer, and even real-time, systems is to incorporate parallel hardware, e.g., multicore processors, and parallel software. Thus, the ability to safely analyse such parallel systems, e.g., regarding the timing behaviour, becomes necessary. Static timing analysis is an approach to mathematically derive safe bounds on the execution time of a program, when executed on a given hardware platform. This paper presents an algorithm that statically analyses the timing of parallel software, with threads communicating through shared memory, using abstract interpretation. It also gives an extensive example to clarify how the algorithm works.
Cite as

Andreas Gustavsson, Jan Gustafsson, and Björn Lisper. Toward Static Timing Analysis of Parallel Software. In 12th International Workshop on Worst-Case Execution Time Analysis. Open Access Series in Informatics (OASIcs), Volume 23, pp. 38-47, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2012)

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@InProceedings{gustavsson_et_al:OASIcs.WCET.2012.38,
  author =	{Gustavsson, Andreas and Gustafsson, Jan and Lisper, Bj\"{o}rn},
  title =	{{Toward Static Timing Analysis of Parallel Software}},
  booktitle =	{12th International Workshop on Worst-Case Execution Time Analysis},
  pages =	{38--47},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-41-5},
  ISSN =	{2190-6807},
  year =	{2012},
  volume =	{23},
  editor =	{Vardanega, Tullio},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.WCET.2012.38},
  URN =		{urn:nbn:de:0030-drops-35552},
  doi =		{10.4230/OASIcs.WCET.2012.38},
  annote =	{Keywords: Parallelism, BCET, WCET, Static analysis, Abstract interpretation}
}
Document
DOI: 10.4230/OASIcs.WCET.2010.136
The Mälardalen WCET Benchmarks: Past, Present And Future

Authors: Jan Gustafsson, Adam Betts, Andreas Ermedahl, and Björn Lisper

Published in: OASIcs, Volume 15, 10th International Workshop on Worst-Case Execution Time Analysis (WCET 2010)

Abstract
Modelling of real-time systems requires accurate and tight estimates of the Worst-Case Execution Time (WCET) of each task scheduled to run. In the past two decades, two main paradigms have emerged within the field of WCET analysis: static analysis and hybrid measurement-based analysis. These techniques have been succesfully implemented in prototype and commercial toolsets. Yet, comparison among the WCET estimates derived by such tools remains somewhat elusive as it requires a common set of benchmarks which serve a multitude of needs. The Maelardalen WCET research group maintains a large number of WCET benchmark programs for this purpose. This paper describes properties of the existing benchmarks, including their relative strengths and weaknesses. We propose extensions to the benchmarks which will allow any type of WCET tool evaluate its results against other state-of-the-art tools, thus setting a high standard for future research and development. We also propose an organization supporting the future work with the benchmarks. We suggest to form a committee with a responsibility for the benchmarks, and that the benchmark web site is transformed to an open wiki, with possibility for the WCET community to easily update the benchmarks.
Cite as

Jan Gustafsson, Adam Betts, Andreas Ermedahl, and Björn Lisper. The Mälardalen WCET Benchmarks: Past, Present And Future. In 10th International Workshop on Worst-Case Execution Time Analysis (WCET 2010). Open Access Series in Informatics (OASIcs), Volume 15, pp. 136-146, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2010)

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@InProceedings{gustafsson_et_al:OASIcs.WCET.2010.136,
  author =	{Gustafsson, Jan and Betts, Adam and Ermedahl, Andreas and Lisper, Bj\"{o}rn},
  title =	{{The M\"{a}lardalen WCET Benchmarks: Past, Present And Future}},
  booktitle =	{10th International Workshop on Worst-Case Execution Time Analysis (WCET 2010)},
  pages =	{136--146},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-21-7},
  ISSN =	{2190-6807},
  year =	{2010},
  volume =	{15},
  editor =	{Lisper, Bj\"{o}rn},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.WCET.2010.136},
  URN =		{urn:nbn:de:0030-drops-28336},
  doi =		{10.4230/OASIcs.WCET.2010.136},
  annote =	{Keywords: WCET analysis, benchmark}
}
Document
DOI: 10.4230/OASIcs.WCET.2009.2279
ALF - A Language for WCET Flow Analysis

Authors: Jan Gustafsson, Andreas Ermedahl, Björn Lisper, Christer Sandberg, and Linus Källberg

Published in: OASIcs, Volume 10, 9th International Workshop on Worst-Case Execution Time Analysis (WCET'09) (2009)

Abstract
Static Worst-Case Execution Time (WCET) analysis derives upper bounds for the execution times of programs. Such bounds are crucial when designing and verifying real-time systems. A key component in static WCET analysis is the flow analysis, which derives bounds on the number of times different code entities can be executed. Examples of flow information derived by a flow analysis are loop bounds and infeasible paths. Flow analysis can be performed on source code, intermediate code, or binary code: for the latter, there is a proliferation of instruction sets. Thus, flow analysis must deal with many code formats. However, the basic flow analysis techniques are more or less the same regardless of the code format. Thus, an interesting option is to define a common code format for flow analysis, which also allows for easy translation from the other formats. Flow analyses for this common format will then be portable, in principle supporting all types of code formats which can be translated to this format. Further, a common format simplifies the development of flow analyses, since only one specific code format needs to be targeted. This paper presents such a common code format, the ALF language (ARTIST2 Language for WCET Flow Analysis).
Cite as

Jan Gustafsson, Andreas Ermedahl, Björn Lisper, Christer Sandberg, and Linus Källberg. ALF - A Language for WCET Flow Analysis. In 9th International Workshop on Worst-Case Execution Time Analysis (WCET'09). Open Access Series in Informatics (OASIcs), Volume 10, pp. 1-11, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)

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@InProceedings{gustafsson_et_al:OASIcs.WCET.2009.2279,
  author =	{Gustafsson, Jan and Ermedahl, Andreas and Lisper, Bj\"{o}rn and Sandberg, Christer and K\"{a}llberg, Linus},
  title =	{{ALF - A Language for WCET Flow Analysis}},
  booktitle =	{9th International Workshop on Worst-Case Execution Time Analysis (WCET'09)},
  pages =	{1--11},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-14-9},
  ISSN =	{2190-6807},
  year =	{2009},
  volume =	{10},
  editor =	{Holsti, Niklas},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.WCET.2009.2279},
  URN =		{urn:nbn:de:0030-drops-22791},
  doi =		{10.4230/OASIcs.WCET.2009.2279},
  annote =	{Keywords: WCET analysis, flow analysis, ALF WCET analysis, flow analysis, ALF}
}
Document
DOI: 10.4230/OASIcs.WCET.2008.1663
WCET 2008 -- Report from the Tool Challenge 2008 -- 8th Intl. Workshop on Worst-Case Execution Time (WCET) Analysis

Authors: Niklas Holsti, Jan Gustafsson, Guillem Bernat, Clément Ballabriga, Armelle Bonenfant, Roman Bourgade, Hugues Cassé, Daniel Cordes, Albrecht Kadlec, Raimund Kirner, Jens Knoop, Paul Lokuciejewski, Nicholas Merriam, Marianne de Michiel, Adrian Prantl, Bernhard Rieder, Christine Rochange, Pascal Sainrat, and Markus Schordan

Published in: OASIcs, Volume 8, 8th International Workshop on Worst-Case Execution Time Analysis (WCET'08) (2008)

Abstract
Following the successful WCET Tool Challenge in 2006, the second event in this series was organized in 2008, again with support from the ARTIST2 Network of Excellence. The WCET Tool Challenge 2008 (WCC'08) provides benchmark programs and poses a number of "analysis problems" about the dynamic, run-time properties of these programs. The participants are challenged to solve these problems with their program analysis tools. Two kinds of problems are defined: WCET problems, which ask for bounds on the execution time of chosen parts (subprograms) of the benchmarks, under given constraints on input data; and flow-analysis problems, which ask for bounds on the number of times certain parts of the benchmark can be executed, again under some constraints. We describe the organization of WCC'08, the benchmark programs, the participating tools, and the general results, successes, and failures. Most participants found WCC'08 to be a useful test of their tools. Unlike the 2006 Challenge, the WCC'08 participants include several tools for the same target (ARM7, LPC2138), and tools that combine measurements and static analysis, as well as pure static-analysis tools.
Cite as

Niklas Holsti, Jan Gustafsson, Guillem Bernat, Clément Ballabriga, Armelle Bonenfant, Roman Bourgade, Hugues Cassé, Daniel Cordes, Albrecht Kadlec, Raimund Kirner, Jens Knoop, Paul Lokuciejewski, Nicholas Merriam, Marianne de Michiel, Adrian Prantl, Bernhard Rieder, Christine Rochange, Pascal Sainrat, and Markus Schordan. WCET 2008 -- Report from the Tool Challenge 2008 -- 8th Intl. Workshop on Worst-Case Execution Time (WCET) Analysis. In 8th International Workshop on Worst-Case Execution Time Analysis (WCET'08). Open Access Series in Informatics (OASIcs), Volume 8, pp. 1-23, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)

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@InProceedings{holsti_et_al:OASIcs.WCET.2008.1663,
  author =	{Holsti, Niklas and Gustafsson, Jan and Bernat, Guillem and Ballabriga, Cl\'{e}ment and Bonenfant, Armelle and Bourgade, Roman and Cass\'{e}, Hugues and Cordes, Daniel and Kadlec, Albrecht and Kirner, Raimund and Knoop, Jens and Lokuciejewski, Paul and Merriam, Nicholas and de Michiel, Marianne and Prantl, Adrian and Rieder, Bernhard and Rochange, Christine and Sainrat, Pascal and Schordan, Markus},
  title =	{{WCET 2008 -- Report from the Tool Challenge 2008 -- 8th Intl. Workshop on Worst-Case Execution Time (WCET) Analysis}},
  booktitle =	{8th International Workshop on Worst-Case Execution Time Analysis (WCET'08)},
  pages =	{1--23},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-10-1},
  ISSN =	{2190-6807},
  year =	{2008},
  volume =	{8},
  editor =	{Kirner, Raimund},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.WCET.2008.1663},
  URN =		{urn:nbn:de:0030-drops-16637},
  doi =		{10.4230/OASIcs.WCET.2008.1663},
  annote =	{Keywords: WCET analysis, benchmark}
}
Document
DOI: 10.4230/OASIcs.WCET.2008.1658
Merging Techniques for Faster Derivation of WCET Flow Information using Abstract Execution

Authors: Jan Gustafsson and Andreas Ermedahl

Published in: OASIcs, Volume 8, 8th International Workshop on Worst-Case Execution Time Analysis (WCET'08) (2008)

Abstract
Static Worst-Case Execution Time (WCET) analysis derives upper bounds for the execution times of programs. Such bounds are crucial when designing and verifying real-time systems. A key component in static WCET analysis is to derive flow information, such as loop bounds and infeasible paths. We have previously introduced abstract execution (AE), a method capable of deriving very precise flow information. This paper present different merging techniques that can be used by AE for trading analysis time for flow information precision. It also presents a new technique, ordered merging, which may radically shorten AE analysis times, especially when analyzing large programs with many possible input variable values.
Cite as

Jan Gustafsson and Andreas Ermedahl. Merging Techniques for Faster Derivation of WCET Flow Information using Abstract Execution. In 8th International Workshop on Worst-Case Execution Time Analysis (WCET'08). Open Access Series in Informatics (OASIcs), Volume 8, pp. 1-11, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)

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@InProceedings{gustafsson_et_al:OASIcs.WCET.2008.1658,
  author =	{Gustafsson, Jan and Ermedahl, Andreas},
  title =	{{Merging Techniques for Faster Derivation of WCET Flow Information using Abstract Execution}},
  booktitle =	{8th International Workshop on Worst-Case Execution Time Analysis (WCET'08)},
  pages =	{1--11},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-10-1},
  ISSN =	{2190-6807},
  year =	{2008},
  volume =	{8},
  editor =	{Kirner, Raimund},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.WCET.2008.1658},
  URN =		{urn:nbn:de:0030-drops-16585},
  doi =		{10.4230/OASIcs.WCET.2008.1658},
  annote =	{Keywords: Worst-Case Execution Time (WCET) analysis, flow analysis}
}
Document
DOI: 10.4230/OASIcs.WCET.2007.1198
WCET 2007 -- Report from the WCET Tool Challenge 2006 Ideas for the WCET Tool Challenge 2008

Authors: Jan Gustafsson

Published in: OASIcs, Volume 6, 7th International Workshop on Worst-Case Execution Time Analysis (WCET'07) (2007)

Abstract
The purpose of the WCET Tool Challenge is to be able to study, compare and discuss the properties of different WCET tools and approaches, to define common metrics, and to enhance the existing benchmarks. The WCET Tool Challenge has been designed to find a good balance between openness for a wide range of analysis approaches, and specific participation guidelines to provide a level playing field. This should make results transparent and facilitate friendly competition among the participants. This short report presents conclusions from from the WCET Tool Challenge 2006 as well as some ideas for the WCET Tool Challenge 2006.
Cite as

Jan Gustafsson. WCET 2007 -- Report from the WCET Tool Challenge 2006 Ideas for the WCET Tool Challenge 2008. In 7th International Workshop on Worst-Case Execution Time Analysis (WCET'07). Open Access Series in Informatics (OASIcs), Volume 6, pp. 1-2, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2007)

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@InProceedings{gustafsson:OASIcs.WCET.2007.1198,
  author =	{Gustafsson, Jan},
  title =	{{WCET 2007 -- Report from the WCET Tool Challenge 2006 Ideas for the WCET Tool Challenge 2008}},
  booktitle =	{7th International Workshop on Worst-Case Execution Time Analysis (WCET'07)},
  pages =	{1--2},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-05-7},
  ISSN =	{2190-6807},
  year =	{2007},
  volume =	{6},
  editor =	{Rochange, Christine},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.WCET.2007.1198},
  URN =		{urn:nbn:de:0030-drops-11988},
  doi =		{10.4230/OASIcs.WCET.2007.1198},
  annote =	{Keywords: }
}
Document
DOI: 10.4230/OASIcs.WCET.2007.1194
Loop Bound Analysis based on a Combination of Program Slicing, Abstract Interpretation, and Invariant Analysis

Authors: Andreas Ermedahl, Christer Sandberg, Jan Gustafsson, Stefan Bygde, and Björn Lisper

Published in: OASIcs, Volume 6, 7th International Workshop on Worst-Case Execution Time Analysis (WCET'07) (2007)

Abstract
Static Worst-Case Execution Time (WCET) analysis is a technique to derive upper bounds for the execution times of programs. Such bounds are crucial when designing and verifying real-time systems. A key component for static derivation of precise WCET estimates is upper bounds on the number of times different loops can be iterated. In this paper we present an approach for deriving upper loop bounds based on a combination of standard program analysis techniques. The idea is to bound the number of different states in the loop which can influence the exit conditions. Given that the loop terminates, this number provides an upper loop bound. An algorithm based on the approach has been implemented in our WCET analysis tool SWEET. We evaluate the algorithm on a number of standard WCET benchmarks, giving evidence that it is capable to derive valid bounds for many types of loops.
Cite as

Andreas Ermedahl, Christer Sandberg, Jan Gustafsson, Stefan Bygde, and Björn Lisper. Loop Bound Analysis based on a Combination of Program Slicing, Abstract Interpretation, and Invariant Analysis. In 7th International Workshop on Worst-Case Execution Time Analysis (WCET'07). Open Access Series in Informatics (OASIcs), Volume 6, pp. 1-6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2007)

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@InProceedings{ermedahl_et_al:OASIcs.WCET.2007.1194,
  author =	{Ermedahl, Andreas and Sandberg, Christer and Gustafsson, Jan and Bygde, Stefan and Lisper, Bj\"{o}rn},
  title =	{{Loop Bound Analysis based on a Combination of Program Slicing, Abstract Interpretation, and Invariant Analysis}},
  booktitle =	{7th International Workshop on Worst-Case Execution Time Analysis (WCET'07)},
  pages =	{1--6},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-05-7},
  ISSN =	{2190-6807},
  year =	{2007},
  volume =	{6},
  editor =	{Rochange, Christine},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.WCET.2007.1194},
  URN =		{urn:nbn:de:0030-drops-11946},
  doi =		{10.4230/OASIcs.WCET.2007.1194},
  annote =	{Keywords: WCET analysis, loop-bound analysis, program slicing, abstract interpretation, invariant analysis}
}
Document
DOI: 10.4230/OASIcs.WCET.2005.811
Experiences from Industrial WCET Analysis Case Studies

Authors: Andreas Ermedahl, Jan Gustafsson, and Björn Lisper

Published in: OASIcs, Volume 1, 5th International Workshop on Worst-Case Execution Time Analysis (WCET'05) (2007)

Abstract
Static Worst-Case Execution Time (WCET) analysis is currently taking a step from research to industrial use. We present a summary of three case studies where static WCET analysis has been used to analyse production code for embedded real-time systems. The primary purpose has not been to test the accuracy of the obtained WCET estimates, but rather to investigate the practical and methodological difficulties that arise when applying current WCET analysis methods to these particular kind of systems. In particular, we have been interested in how laborintensive the analysis becomes, for instance by estimating the efforts to study the analysed code in detail, and measuring the number of manual annotations necessary to perform the analysis. From these observations, we draw some conclusions about what would be needed to turn static WCET analysis into a useful tool for embedded and real-time systems software development.
Cite as

Andreas Ermedahl, Jan Gustafsson, and Björn Lisper. Experiences from Industrial WCET Analysis Case Studies. In 5th International Workshop on Worst-Case Execution Time Analysis (WCET'05). Open Access Series in Informatics (OASIcs), Volume 1, pp. 25-28, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2007)

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@InProceedings{ermedahl_et_al:OASIcs.WCET.2005.811,
  author =	{Ermedahl, Andreas and Gustafsson, Jan and Lisper, Bj\"{o}rn},
  title =	{{Experiences from Industrial WCET Analysis Case Studies}},
  booktitle =	{5th International Workshop on Worst-Case Execution Time Analysis (WCET'05)},
  pages =	{25--28},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-24-8},
  ISSN =	{2190-6807},
  year =	{2007},
  volume =	{1},
  editor =	{Wilhelm, Reinhard},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.WCET.2005.811},
  URN =		{urn:nbn:de:0030-drops-8118},
  doi =		{10.4230/OASIcs.WCET.2005.811},
  annote =	{Keywords: }
}
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