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Counterexample-guided abstraction refinement
The main practical problem in model checking is the combinatorial explosion of system states commonly known as the state explosion problem. Abstraction methods attempt to reduce the size of the state space by employing knowledge about the system and the specification in order to model only relevant...
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creator | Clarke, E. |
description | The main practical problem in model checking is the combinatorial explosion of system states commonly known as the state explosion problem. Abstraction methods attempt to reduce the size of the state space by employing knowledge about the system and the specification in order to model only relevant features in the Kripke structure. Counterexample-guided abstraction refinement is an automatic abstraction method where, starting with a relatively small skeletal representation of the system to be verified, increasingly precise abstract representations of the system are computed. The key step is to extract information from false negatives ("spurious counterexamples") due to over-approximation. |
doi_str_mv | 10.1109/TIME.2003.1214874 |
format | conference_proceeding |
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Abstraction methods attempt to reduce the size of the state space by employing knowledge about the system and the specification in order to model only relevant features in the Kripke structure. Counterexample-guided abstraction refinement is an automatic abstraction method where, starting with a relatively small skeletal representation of the system to be verified, increasingly precise abstract representations of the system are computed. 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The key step is to extract information from false negatives ("spurious counterexamples") due to over-approximation.</description><subject>Boolean functions</subject><subject>Collaboration</subject><subject>Computer science</subject><subject>Concrete</subject><subject>Contracts</subject><subject>Data mining</subject><subject>Data structures</subject><subject>Explosions</subject><subject>State-space methods</subject><subject>US Department of Defense</subject><issn>1530-1311</issn><issn>2332-6468</issn><isbn>0769519121</isbn><isbn>9780769519128</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2003</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotT8tOwzAQtHhIhNIPQFz6ATjd9TpOfERRgUqtuJRz5cRrZNSkVZJK8PdYonOZw4zmIcQjQo4Idrlbb1e5AqAcFeqq1FciU0RKGm2qa3EPpbEF2iTeiAwLAomEeCfm4_gNCWSNKVQmnuvjuZ944B_XnQ4sv87Rs1-4ZpwG107x2C8GDrHnjvvpQdwGdxh5fuGZ-Hxd7ep3ufl4W9cvGxkVVpM0wQaNDJo0pxGFDY5L7xpog268g8aWqFJ7mXYRNAYNs06mlqrKB480E0__uZGZ96chdm743V-O0h-uY0S-</recordid><startdate>2003</startdate><enddate>2003</enddate><creator>Clarke, E.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2003</creationdate><title>Counterexample-guided abstraction refinement</title><author>Clarke, E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i218t-6f9f41e0434e95159fae7dab0cf4bda0b9712652715330b616ee49fac388dfd13</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2003</creationdate><topic>Boolean functions</topic><topic>Collaboration</topic><topic>Computer science</topic><topic>Concrete</topic><topic>Contracts</topic><topic>Data mining</topic><topic>Data structures</topic><topic>Explosions</topic><topic>State-space methods</topic><topic>US Department of Defense</topic><toplevel>online_resources</toplevel><creatorcontrib>Clarke, E.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore (Online service)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Clarke, E.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Counterexample-guided abstraction refinement</atitle><btitle>10th International Symposium on Temporal Representation and Reasoning, 2003 and Fourth International Conference on Temporal Logic. Proceedings</btitle><stitle>TIME</stitle><date>2003</date><risdate>2003</risdate><spage>7</spage><epage>8</epage><pages>7-8</pages><issn>1530-1311</issn><eissn>2332-6468</eissn><isbn>0769519121</isbn><isbn>9780769519128</isbn><abstract>The main practical problem in model checking is the combinatorial explosion of system states commonly known as the state explosion problem. Abstraction methods attempt to reduce the size of the state space by employing knowledge about the system and the specification in order to model only relevant features in the Kripke structure. Counterexample-guided abstraction refinement is an automatic abstraction method where, starting with a relatively small skeletal representation of the system to be verified, increasingly precise abstract representations of the system are computed. 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identifier | ISSN: 1530-1311 |
ispartof | 10th International Symposium on Temporal Representation and Reasoning, 2003 and Fourth International Conference on Temporal Logic. Proceedings, 2003, p.7-8 |
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language | eng |
recordid | cdi_ieee_primary_1214874 |
source | IEEE Xplore All Conference Series |
subjects | Boolean functions Collaboration Computer science Concrete Contracts Data mining Data structures Explosions State-space methods US Department of Defense |
title | Counterexample-guided abstraction refinement |
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