## Partial Order Reduction in Directed Model Checking

2002
##### Authors
Lluch-Lafuente, Alberto
Edelkamp, Stefan
##### Publication type
Contribution to a conference collection
##### Published in
Model Checking Software / Bošnački, Dragan; Leue, Stefan (ed.). - Berlin, Heidelberg : Springer Berlin Heidelberg, 2002. - (Lecture Notes in Computer Science ; 2318). - pp. 112-127. - ISBN 978-3-540-43477-1
##### Abstract
Partial order reduction is a very succesful technique for avoiding the state explosion problem that is inherent to explicit state model checking of asynchronous concurrent systems. It exploits the commutativity of concurrently executed transitions in interleaved system runs in order to reduce the size of the explored state space. Directed model checking on the other hand addresses the state explosion problem by using guided search techniques during state space exploration. As a consequence, shorter errors trails are found and less search effort is required than when using standard depth-first or breadth-first search.
We analyze how to combine directed model checking with partial order reduction
methods and give experimental results on how the combination of both techniques performs.
##### Subject (DDC)
004 Computer Science
##### Cite This
ISO 690LLUCH-LAFUENTE, Alberto, Stefan EDELKAMP, Stefan LEUE, 2002. Partial Order Reduction in Directed Model Checking. In: BOŠNAČKI, Dragan, ed., Stefan LEUE, ed.. Model Checking Software. Berlin, Heidelberg:Springer Berlin Heidelberg, pp. 112-127. ISBN 978-3-540-43477-1. Available under: doi: 10.1007/3-540-46017-9_10
BibTex
@inproceedings{LluchLafuente2002-05-23Parti-5444,
year={2002},
doi={10.1007/3-540-46017-9_10},
title={Partial Order Reduction in Directed Model Checking},
number={2318},
isbn={978-3-540-43477-1},
publisher={Springer Berlin Heidelberg},
series={Lecture Notes in Computer Science},
booktitle={Model Checking Software},
pages={112--127},
editor={Bošnački, Dragan and Leue, Stefan},
author={Lluch-Lafuente, Alberto and Edelkamp, Stefan and Leue, Stefan}
}

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<dcterms:abstract xml:lang="eng">Partial order reduction is a very succesful technique for avoiding the state explosion problem that is inherent to explicit state model checking of asynchronous concurrent systems. It exploits the commutativity of concurrently executed transitions in interleaved system runs in order to reduce the size of the explored state space. Directed model checking on the other hand addresses the state explosion problem by using guided search techniques during state space exploration. As a consequence, shorter errors trails are found and less search effort is required than when using standard depth-first or breadth-first search.&lt;br /&gt;We analyze how to combine directed model checking with partial order reduction&lt;br /&gt;methods and give experimental results on how the combination of both techniques performs.</dcterms:abstract>
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