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        <datestamp>2024-07-26T08:47:21Z</datestamp>
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          <dc:title>The Platin Multi-Target Worst-Case Analysis Tool</dc:title>
          <dc:creator>Maroun, Emad Jacob</dc:creator>
          <dc:creator>Dengler, Eva</dc:creator>
          <dc:creator>Dietrich, Christian</dc:creator>
          <dc:creator>Hepp, Stefan</dc:creator>
          <dc:creator>Herzog, Henriette</dc:creator>
          <dc:creator>Huber, Benedikt</dc:creator>
          <dc:creator>Knoop, Jens</dc:creator>
          <dc:creator>Wiltsche-Prokesch, Daniel</dc:creator>
          <dc:creator>Puschner, Peter</dc:creator>
          <dc:creator>Raffeck, Phillip</dc:creator>
          <dc:creator>Schoeberl, Martin</dc:creator>
          <dc:creator>Schuster, Simon</dc:creator>
          <dc:creator>Wägemann, Peter</dc:creator>
          <dc:subject>worst-case resource consumption</dc:subject>
          <dc:subject>WCET</dc:subject>
          <dc:subject>static analysis tool</dc:subject>
          <dc:description>With the increasing number of applications that require reliable runtime guarantees, the relevance of static worst-case analysis tools that can provide such guarantees increases. These analysis tools determine resource-consumption bounds of application tasks, with a model of the underlying hardware, to meet given resource budgets during runtime, such as deadlines of real-time tasks.&#13;
This paper presents enhancements to the Platin worst-case analysis tool developed since its original release more than ten years ago. These novelties comprise Platin’s support for new architectures (i.e., ARMv6-M, RISC-V, and AVR) in addition to the previous backends for Patmos and ARMv7-M. Further, Platin now features system-wide analysis methods and annotation support to express system-level constraints. Besides an overview of these enhancements, we evaluate Platin’s accuracy for the two supported architecture implementations, Patmos and RISC-V.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Emad Jacob Maroun and Eva Dengler and Christian Dietrich and Stefan Hepp and Henriette Herzog and Benedikt Huber and Jens Knoop and Daniel Wiltsche-Prokesch and Peter Puschner and Phillip Raffeck and Martin Schoeberl and Simon Schuster and Peter Wägemann</dc:contributor>
          <dc:date>2024</dc:date>
          <dc:relation>Is Part Of OASIcs, Volume 121, 22nd International Workshop on Worst-Case Execution Time Analysis (WCET 2024)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/OASIcs.WCET.2024.2</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-204704</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.WCET.2024.2</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
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