Benchmarks for Hybrid Systems Verification

Ansgar Fehnker, Franjo Ivancic

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

108 Citations (Scopus)

Abstract

There are numerous application examples for hybrid systems verification in recent literature. Most of them were introduced to illustrate a new approach to hybrid systems verification, and are therefore of a limited size. Others are case studies that serve to prove that an approach can be applied to real world problems. Verification of these typically requires a lot of domain experience to obtain a tractable, verifiable model. Verification of a case study yields a singular result that is hard to compare and time-consuming to reproduce.

This paper introduces three benchmarks for hybrid systems verification. These benchmarks are independent from a particular approach to verification, they have a limited domain, and have a simple basic structure. Nevertheless, these benchmarks can be scaled to arbitrary complexity, and offer the possibility to inject phenomena that are known to be problematic in hybrid verification. This paper presents result for a first set of instances, as an example of how these benchmark can be used to compare different tools and approaches.
Original languageEnglish
Title of host publicationHybrid Systems: Computation and Control
Subtitle of host publication7th International Workshop, HSCC 2004, Philadelphia, PA, USA, March 25-27, 2004, Proceedings
EditorsRajeev Alur, George J. Pappas
PublisherSpringer
Pages326-341
Number of pages16
ISBN (Electronic)978-3-540-24743-2
ISBN (Print)978-3-540-21259-1
DOIs
Publication statusPublished - 2004
Externally publishedYes
Event7th International Workshop on Hybrid Systems: Computation and Control, HSCC 2004 - Philadelphia, United States
Duration: 25 Mar 200427 Mar 2004
Conference number: 7

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume2993

Workshop

Workshop7th International Workshop on Hybrid Systems: Computation and Control, HSCC 2004
Abbreviated titleHSCC
CountryUnited States
CityPhiladelphia
Period25/03/0427/03/04

Fingerprint

Hybrid systems

Cite this

Fehnker, A., & Ivancic, F. (2004). Benchmarks for Hybrid Systems Verification. In R. Alur, & G. J. Pappas (Eds.), Hybrid Systems: Computation and Control: 7th International Workshop, HSCC 2004, Philadelphia, PA, USA, March 25-27, 2004, Proceedings (pp. 326-341). (Lecture Notes in Computer Science; Vol. 2993). Springer. https://doi.org/10.1007/978-3-540-24743-2_22
Fehnker, Ansgar ; Ivancic, Franjo. / Benchmarks for Hybrid Systems Verification. Hybrid Systems: Computation and Control: 7th International Workshop, HSCC 2004, Philadelphia, PA, USA, March 25-27, 2004, Proceedings. editor / Rajeev Alur ; George J. Pappas. Springer, 2004. pp. 326-341 (Lecture Notes in Computer Science).
@inproceedings{f6abb06c263b43ebb1e69192ad900ea4,
title = "Benchmarks for Hybrid Systems Verification",
abstract = "There are numerous application examples for hybrid systems verification in recent literature. Most of them were introduced to illustrate a new approach to hybrid systems verification, and are therefore of a limited size. Others are case studies that serve to prove that an approach can be applied to real world problems. Verification of these typically requires a lot of domain experience to obtain a tractable, verifiable model. Verification of a case study yields a singular result that is hard to compare and time-consuming to reproduce.This paper introduces three benchmarks for hybrid systems verification. These benchmarks are independent from a particular approach to verification, they have a limited domain, and have a simple basic structure. Nevertheless, these benchmarks can be scaled to arbitrary complexity, and offer the possibility to inject phenomena that are known to be problematic in hybrid verification. This paper presents result for a first set of instances, as an example of how these benchmark can be used to compare different tools and approaches.",
author = "Ansgar Fehnker and Franjo Ivancic",
year = "2004",
doi = "10.1007/978-3-540-24743-2_22",
language = "English",
isbn = "978-3-540-21259-1",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "326--341",
editor = "Rajeev Alur and Pappas, {George J.}",
booktitle = "Hybrid Systems: Computation and Control",

}

Fehnker, A & Ivancic, F 2004, Benchmarks for Hybrid Systems Verification. in R Alur & GJ Pappas (eds), Hybrid Systems: Computation and Control: 7th International Workshop, HSCC 2004, Philadelphia, PA, USA, March 25-27, 2004, Proceedings. Lecture Notes in Computer Science, vol. 2993, Springer, pp. 326-341, 7th International Workshop on Hybrid Systems: Computation and Control, HSCC 2004, Philadelphia, United States, 25/03/04. https://doi.org/10.1007/978-3-540-24743-2_22

Benchmarks for Hybrid Systems Verification. / Fehnker, Ansgar; Ivancic, Franjo.

Hybrid Systems: Computation and Control: 7th International Workshop, HSCC 2004, Philadelphia, PA, USA, March 25-27, 2004, Proceedings. ed. / Rajeev Alur; George J. Pappas. Springer, 2004. p. 326-341 (Lecture Notes in Computer Science; Vol. 2993).

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

TY - GEN

T1 - Benchmarks for Hybrid Systems Verification

AU - Fehnker, Ansgar

AU - Ivancic, Franjo

PY - 2004

Y1 - 2004

N2 - There are numerous application examples for hybrid systems verification in recent literature. Most of them were introduced to illustrate a new approach to hybrid systems verification, and are therefore of a limited size. Others are case studies that serve to prove that an approach can be applied to real world problems. Verification of these typically requires a lot of domain experience to obtain a tractable, verifiable model. Verification of a case study yields a singular result that is hard to compare and time-consuming to reproduce.This paper introduces three benchmarks for hybrid systems verification. These benchmarks are independent from a particular approach to verification, they have a limited domain, and have a simple basic structure. Nevertheless, these benchmarks can be scaled to arbitrary complexity, and offer the possibility to inject phenomena that are known to be problematic in hybrid verification. This paper presents result for a first set of instances, as an example of how these benchmark can be used to compare different tools and approaches.

AB - There are numerous application examples for hybrid systems verification in recent literature. Most of them were introduced to illustrate a new approach to hybrid systems verification, and are therefore of a limited size. Others are case studies that serve to prove that an approach can be applied to real world problems. Verification of these typically requires a lot of domain experience to obtain a tractable, verifiable model. Verification of a case study yields a singular result that is hard to compare and time-consuming to reproduce.This paper introduces three benchmarks for hybrid systems verification. These benchmarks are independent from a particular approach to verification, they have a limited domain, and have a simple basic structure. Nevertheless, these benchmarks can be scaled to arbitrary complexity, and offer the possibility to inject phenomena that are known to be problematic in hybrid verification. This paper presents result for a first set of instances, as an example of how these benchmark can be used to compare different tools and approaches.

U2 - 10.1007/978-3-540-24743-2_22

DO - 10.1007/978-3-540-24743-2_22

M3 - Conference contribution

SN - 978-3-540-21259-1

T3 - Lecture Notes in Computer Science

SP - 326

EP - 341

BT - Hybrid Systems: Computation and Control

A2 - Alur, Rajeev

A2 - Pappas, George J.

PB - Springer

ER -

Fehnker A, Ivancic F. Benchmarks for Hybrid Systems Verification. In Alur R, Pappas GJ, editors, Hybrid Systems: Computation and Control: 7th International Workshop, HSCC 2004, Philadelphia, PA, USA, March 25-27, 2004, Proceedings. Springer. 2004. p. 326-341. (Lecture Notes in Computer Science). https://doi.org/10.1007/978-3-540-24743-2_22