2 research outputs found

    Software Structure and WCET Predictability

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    Being able to compute worst-case execution time bounds for tasks of an embedded software system with hard real-time constraints is crucial to ensure the correct (timing) behavior of the overall system. Any means to increase the (static) time predictability of the embedded software are of high interest -- especially due to the ever-growing complexity of such software systems. In this paper we study existing coding proposals and guidelines, such as MISRA-C, and investigate whether they simplify static timing analysis. Furthermore, we investigate how additional knowledge, such as design-level information, can further aid in this process

    Avoiding timing problems in real-time software

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    “This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder." “Copyright IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.”To safely establish the correct timing of a real-time processing node, adequate architectural structures have to be used. This refers to the hardware architecture of the processing node as well as the software architecture of its operating system and application software. This paper presents architectures that allow for a well structured and simple timing analysis. First, it presents solutions for cleanly splitting the overall timing analysis into schedulability analysis and task worst-case execution time analysis. Second, it presents a programming strategy that yields software that is highly temporally predictable and easy to analyze for its worst-case execution time
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