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Documents authored by Sun, Wei-Tsun


Document
Validating Static WCET Analysis: A Method and Its Application

Authors: Wei-Tsun Sun, Eric Jenn, and Hugues Cassé

Published in: OASIcs, Volume 72, 19th International Workshop on Worst-Case Execution Time Analysis (WCET 2019)


Abstract
WCET analysis is a key activity in the development of safety critical real-time systems. Whether upper bounds on WCETs are obtained using static analysis or measurements, the confidence on the compliance of a system with its temporal requirements directly depends on the confidence on these estimations. Static WCET analysis based on abstract interpretation takes benefits from its formal foundations. However, it also strongly depends on the correctness of the underlying models. We hereby show how we have validated the version of the data flow static analyser of OTAWA applied to the AURIX TC275 target processor.

Cite as

Wei-Tsun Sun, Eric Jenn, and Hugues Cassé. Validating Static WCET Analysis: A Method and Its Application. In 19th International Workshop on Worst-Case Execution Time Analysis (WCET 2019). Open Access Series in Informatics (OASIcs), Volume 72, pp. 6:1-6:10, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)


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@InProceedings{sun_et_al:OASIcs.WCET.2019.6,
  author =	{Sun, Wei-Tsun and Jenn, Eric and Cass\'{e}, Hugues},
  title =	{{Validating Static WCET Analysis: A Method and Its Application}},
  booktitle =	{19th International Workshop on Worst-Case Execution Time Analysis (WCET 2019)},
  pages =	{6:1--6:10},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-118-4},
  ISSN =	{2190-6807},
  year =	{2019},
  volume =	{72},
  editor =	{Altmeyer, Sebastian},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.WCET.2019.6},
  URN =		{urn:nbn:de:0030-drops-107713},
  doi =		{10.4230/OASIcs.WCET.2019.6},
  annote =	{Keywords: validation of WCET tools, ISS, nML}
}
Document
The W-SEPT Project: Towards Semantic-Aware WCET Estimation

Authors: Claire Maiza, Pascal Raymond, Catherine Parent-Vigouroux, Armelle Bonenfant, Fabienne Carrier, Hugues Cassé, Philippe Cuenot, Denis Claraz, Nicolas Halbwachs, Erwan Jahier, Hanbing Li, Marianne de Michiel, Vincent Mussot, Isabelle Puaut, Christine Rochange, Erven Rohou, Jordy Ruiz, Pascal Sotin, and Wei-Tsun Sun

Published in: OASIcs, Volume 57, 17th International Workshop on Worst-Case Execution Time Analysis (WCET 2017)


Abstract
Critical embedded systems are generally composed of repetitive tasks that must meet hard timing constraints, such as termination deadlines. Providing an upper bound of the worst-case execution time (WCET) of such tasks at design time is necessary to guarantee the correctness of the system. In static WCET analysis, a main source of over-approximation comes from the complexity of the modern hardware platforms: their timing behavior tends to become more unpredictable because of features like caches, pipeline, branch prediction, etc. Another source of over-approximation comes from the software itself: WCET analysis may consider potential worst-cases executions that are actually infeasible, because of the semantics of the program or because they correspond to unrealistic inputs. The W-SEPT project, for "WCET, Semantics, Precision and Traceability", has been carried out to study and exploit the influence of program semantics on the WCET estimation. This paper presents the results of this project : a semantic-aware WCET estimation workflow for high-level designed systems.

Cite as

Claire Maiza, Pascal Raymond, Catherine Parent-Vigouroux, Armelle Bonenfant, Fabienne Carrier, Hugues Cassé, Philippe Cuenot, Denis Claraz, Nicolas Halbwachs, Erwan Jahier, Hanbing Li, Marianne de Michiel, Vincent Mussot, Isabelle Puaut, Christine Rochange, Erven Rohou, Jordy Ruiz, Pascal Sotin, and Wei-Tsun Sun. The W-SEPT Project: Towards Semantic-Aware WCET Estimation. In 17th International Workshop on Worst-Case Execution Time Analysis (WCET 2017). Open Access Series in Informatics (OASIcs), Volume 57, pp. 9:1-9:13, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)


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@InProceedings{maiza_et_al:OASIcs.WCET.2017.9,
  author =	{Maiza, Claire and Raymond, Pascal and Parent-Vigouroux, Catherine and Bonenfant, Armelle and Carrier, Fabienne and Cass\'{e}, Hugues and Cuenot, Philippe and Claraz, Denis and Halbwachs, Nicolas and Jahier, Erwan and Li, Hanbing and de Michiel, Marianne and Mussot, Vincent and Puaut, Isabelle and Rochange, Christine and Rohou, Erven and Ruiz, Jordy and Sotin, Pascal and Sun, Wei-Tsun},
  title =	{{The W-SEPT Project: Towards Semantic-Aware WCET Estimation}},
  booktitle =	{17th International Workshop on Worst-Case Execution Time Analysis (WCET 2017)},
  pages =	{9:1--9:13},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-057-6},
  ISSN =	{2190-6807},
  year =	{2017},
  volume =	{57},
  editor =	{Reineke, Jan},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.WCET.2017.9},
  URN =		{urn:nbn:de:0030-drops-73097},
  doi =		{10.4230/OASIcs.WCET.2017.9},
  annote =	{Keywords: Worst-case execution time analysis, Static analysis, Program analysis}
}
Document
Dynamic Branch Resolution Based on Combined Static Analyses

Authors: Wei-Tsun Sun and Hugues Cassé

Published in: OASIcs, Volume 55, 16th International Workshop on Worst-Case Execution Time Analysis (WCET 2016)


Abstract
Static analysis requires the full knowledge of the overall program structure. The structure of a program can be represented by a Control Flow Graph (CFG) where vertices are basic blocks (BB) and edges represent the control flow between the BB. To construct a full CFG, all the BB as well as all of their possible targets addresses must be found. In this paper, we present a method to resolve dynamic branches, that identifies the target addresses of BB created due to the switch-cases and calls on function pointers. We also implemented a slicing method to speed up the overall analysis which makes our approach applicable on large and realistic real-time programs.

Cite as

Wei-Tsun Sun and Hugues Cassé. Dynamic Branch Resolution Based on Combined Static Analyses. In 16th International Workshop on Worst-Case Execution Time Analysis (WCET 2016). Open Access Series in Informatics (OASIcs), Volume 55, pp. 8:1-8:10, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016)


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@InProceedings{sun_et_al:OASIcs.WCET.2016.8,
  author =	{Sun, Wei-Tsun and Cass\'{e}, Hugues},
  title =	{{Dynamic Branch Resolution Based on Combined Static Analyses}},
  booktitle =	{16th International Workshop on Worst-Case Execution Time Analysis (WCET 2016)},
  pages =	{8:1--8:10},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-025-5},
  ISSN =	{2190-6807},
  year =	{2016},
  volume =	{55},
  editor =	{Schoeberl, Martin},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.WCET.2016.8},
  URN =		{urn:nbn:de:0030-drops-69014},
  doi =		{10.4230/OASIcs.WCET.2016.8},
  annote =	{Keywords: WCET, static analysis, dynamic branch, assembly, machine language}
}
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