Pareto Curves for Probabilistic Model Checking

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F12%3A00064714" target="_blank" >RIV/00216224:14330/12:00064714 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.prismmodelchecker.org/papers/atva12pareto.pdf" target="_blank" >http://www.prismmodelchecker.org/papers/atva12pareto.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-642-33386-6_25" target="_blank" >10.1007/978-3-642-33386-6_25</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Pareto Curves for Probabilistic Model Checking

Popis výsledku v původním jazyce

Multi-objective probabilistic model checking provides a way to verify several, possibly conflicting, quantitative properties of a stochastic system. It has useful applications in controller synthesis and compositional probabilistic verification. However,existing methods are based on linear programming, which limits the scale of systems that can be analysed and makes verification of time-bounded properties very difficult. We present a novel approach that addresses both of these shortcomings, based on the generation of successive approximations of the Pareto curve for a multi-objective model checking problem. We illustrate dramatic improvements in efficiency on a large set of benchmarks and show how the ability to visualise Pareto curves significantly enhances the quality of results obtained from current probabilistic verification tools.

Název v anglickém jazyce

Pareto Curves for Probabilistic Model Checking

Popis výsledku anglicky

Multi-objective probabilistic model checking provides a way to verify several, possibly conflicting, quantitative properties of a stochastic system. It has useful applications in controller synthesis and compositional probabilistic verification. However,existing methods are based on linear programming, which limits the scale of systems that can be analysed and makes verification of time-bounded properties very difficult. We present a novel approach that addresses both of these shortcomings, based on the generation of successive approximations of the Pareto curve for a multi-objective model checking problem. We illustrate dramatic improvements in efficiency on a large set of benchmarks and show how the ability to visualise Pareto curves significantly enhances the quality of results obtained from current probabilistic verification tools.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

—

Projekt

<a href="/cs/project/LA09016" target="_blank" >LA09016: Účast ČR v European Research Consortium for Informatics and Mathematics (ERCIM)</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2012

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Automated Technology for Verification and Analysis

ISBN

9783642333859

ISSN

0302-9743

e-ISSN

—

Počet stran výsledku

15

Strana od-do

317-332

Název nakladatele

Springer

Místo vydání

Berlin, Heidelberg

Místo konání akce

Trivandrum

Datum konání akce

1. 1. 2012

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—