Timing Analysis on Code-Level (TACLe)
Fact Sheet
Acronym | TACLe |
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Name | Timing Analysis on Code-Level |
Homepage | www.tacle.eu |
Role of TUHH | Action Vice Chair, member of Working Groups 1, 2 and 4 |
Start Date | 07/11/2012 |
End Date | 06/11/2016 |
Funds Donor | COST Office Brussels |
Summary
TACLe is a four years lasting COST Action funded by the COST Office in Brussels.
Many embedded systems are safety-critical real-time systems that must process data within given deadlines. To validate real-time properties, timing analyses of program code are mandatory. Research on techniques for timing analysis of software touches many areas within computer science, e.g., computer architecture, compiler construction and formal verification.
This COST Action aims to cross-link the leading European researchers in these areas and thus to strengthen Europe's leading position in the field of timing analysis. TACLe's research activities include timing models for multicore systems, support of timing analysis by software development tools, early-stage timing analysis right in the beginning of the software development cycle, and the consideration of resources other than time like, e.g., energy dissipation.
TACLe Publications of the Embedded Systems Design Group
[176901] |
Title: Simple Analysis of Partial Worst-case Execution Paths on General Control Flow Graphs. <em>In Proceedings of the International Conference on Embedded Software (EMSOFT)</em> |
Written by: Jan C. Kleinsorge, Heiko Falk and Peter Marwedel |
in: October (2013). |
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Series: 20131001-emsoft-kleinsorge.pdf |
Address: Montreal / Canada |
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ISBN: 10.1109/EMSOFT.2013.6658594 |
how published: 13-50 KFM13 EMSOFT |
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Note: hfalk, ESD, emp2, tacle, WCC
Abstract: One of the most important computations in static worst-case execution time analyses is the path analysis which computes the potentially most time-consuming execution path in a program. This is typically done either with an implicit path computation based on solving an integer linear program, or with explicit path computations directly on the program's control flow graph. The former approach is powerful and comparably simple to use but hard to extend and to combine with other program analyses due to its restriction to the linear equation model. The latter approaches are often restricted to well-structured graphs, suffer from inaccuracy or require non-trivial structural analyses or graph transformations upfront or during their computations.<br /> In this paper, we propose a generalized computational model and a comprehensive explicit path analysis that operates on arbitrary directed control flow graphs. We propose simple and yet effective techniques to deal with unstructured control flows and complex flow fact models. The analysis does not require a control flow graph to be mutable, is non-recursive, fast, and provides the means to compute all worst-case paths from arbitrary source nodes. It is well suited for solving local problems and the computation of partial solutions, which is highly relevant for problems related to scheduling and execution modes alike.