Compositional sequentialization of periodic programs

Sagar Chaki, Arie Gurfinkel, Soonho Kong, Ofer Strichman

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


We advance the state-of-the-art in verifying periodic programs - a commonly used form of real-time software that consists of a set of asynchronous tasks running periodically and being scheduled preemptively based on their priorities. We focus on an approach based on sequentialization (generating an equivalent sequential program) of a time-bounded periodic program. We present a new compositional form of sequentialization that improves on earlier work in terms of both scalability and completeness (i.e., false warnings) by leveraging temporal separation between jobs in the same hyper-period and across multiple hyper-periods. We also show how the new sequentialization can be further improved in the case of harmonic systems to generate sequential programs of asymptotically smaller size. Experiments indicate that our new sequentialization improves verification time by orders of magnitude compared to competing schemes.

Original languageEnglish
Title of host publicationVerification, Model Checking, and Abstract Interpretation - 14th International Conference, VMCAI 2013, Proceedings
Number of pages19
StatePublished - 2013
Event14th International Conference on Verification, Model Checking, and Abstract Interpretation, VMCAI 2013 - Rome, Italy
Duration: 20 Jan 201322 Jan 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7737 LNCS


Conference14th International Conference on Verification, Model Checking, and Abstract Interpretation, VMCAI 2013

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science


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