IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v12y2024i6p812-d1354439.html
   My bibliography  Save this article

Formal Modeling and Verification of Embedded Real-Time Systems: An Approach and Practical Tool Based on Constraint Time Petri Nets

Author

Listed:
  • Libero Nigro

    (Engineering Department of Informatics Modelling Electronics and Systems Science, University of Calabria, 87036 Rende, Italy)

  • Franco Cicirelli

    (CNR—National Research Council of Italy, Institute for High Performance Computing and Networking (ICAR), 87036 Rende, Italy)

Abstract

Modeling and verification of the correct behavior of embedded real-time systems with strict timing constraints is a well-known and important problem. Failing to fulfill a deadline in system operation can have severe consequences in the practical case. This paper proposes an approach to formal modeling and schedulability analysis. A novel extension of Petri Nets named Constraint Time Petri Nets (C-TPN) is developed, which enables the modeling of a collection of interdependent real-time tasks whose execution is constrained by the use of priority and shared resources like processors and memory data. A C-TPN model is reduced to a network of Timed Automata in the context of the popular Uppaal toolbox. Both functional and, most importantly, temporal properties can be assessed by exhaustive model checking and/or statistical model checking based on simulations. This paper first describes and motivates the proposed C-TPN modeling language and its formal semantics. Then, a Uppaal translation is shown. Finally, three models of embedded real-time systems are considered, and their properties are thoroughly verified.

Suggested Citation

  • Libero Nigro & Franco Cicirelli, 2024. "Formal Modeling and Verification of Embedded Real-Time Systems: An Approach and Practical Tool Based on Constraint Time Petri Nets," Mathematics, MDPI, vol. 12(6), pages 1-25, March.
  • Handle: RePEc:gam:jmathe:v:12:y:2024:i:6:p:812-:d:1354439
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/12/6/812/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/12/6/812/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hyeongboo Baek & Jaewoo Lee, 2023. "Contention-Free Scheduling for Single Preemption Multiprocessor Platforms," Mathematics, MDPI, vol. 11(16), pages 1-14, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      Corrections

      All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:12:y:2024:i:6:p:812-:d:1354439. See general information about how to correct material in RePEc.

      If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

      If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

      For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

      Please note that corrections may take a couple of weeks to filter through the various RePEc services.

      IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.