Assume, guarantee or repair: a regular framework for non regular properties
We present Assume-Guarantee-Repair (AGR)—a novel framework which verifies that a program satisfies a set of properties and also repairs the program in case the verification fails. We consider communicating programs —these are simple C-like programs, extended with synchronous actions over communicati...
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Veröffentlicht in: | International journal on software tools for technology transfer 2022-10, Vol.24 (5), p.667-689 |
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container_title | International journal on software tools for technology transfer |
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creator | Frenkel, Hadar Grumberg, Orna Păsăreanu, Corina S. Sheinvald, Sarai |
description | We present Assume-Guarantee-Repair (AGR)—a novel framework which verifies that a program satisfies a set of properties and also
repairs
the program in case the verification fails. We consider
communicating programs
—these are simple C-like programs, extended with synchronous actions over communication channels. Our method, which consists of a learning-based approach to assume–guarantee reasoning, performs verification and repair simultaneously: in every iteration, AGR either makes another step towards proving that the (current) system satisfies the required properties, or alters the system in a way that brings it closer to satisfying the properties. To handle infinite-state systems we build finite abstractions, for which we check the satisfaction of complex properties that contain first-order constraints, using both syntactic and semantic-aware methods. We implemented AGR and evaluated it on various communication protocols. Our experiments present compact proofs of correctness and quick repairs. |
doi_str_mv | 10.1007/s10009-022-00669-9 |
format | Article |
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repairs
the program in case the verification fails. We consider
communicating programs
—these are simple C-like programs, extended with synchronous actions over communication channels. Our method, which consists of a learning-based approach to assume–guarantee reasoning, performs verification and repair simultaneously: in every iteration, AGR either makes another step towards proving that the (current) system satisfies the required properties, or alters the system in a way that brings it closer to satisfying the properties. To handle infinite-state systems we build finite abstractions, for which we check the satisfaction of complex properties that contain first-order constraints, using both syntactic and semantic-aware methods. We implemented AGR and evaluated it on various communication protocols. Our experiments present compact proofs of correctness and quick repairs.</description><identifier>ISSN: 1433-2779</identifier><identifier>EISSN: 1433-2787</identifier><identifier>DOI: 10.1007/s10009-022-00669-9</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Algorithms ; Communication ; Computer Science ; Semantics ; Software Engineering ; Software Engineering/Programming and Operating Systems ; Theory of Computation ; Verification</subject><ispartof>International journal on software tools for technology transfer, 2022-10, Vol.24 (5), p.667-689</ispartof><rights>The Author(s) 2022</rights><rights>The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c314t-61bab01782a0c1069e5abf7b87b5901f952bfc1b75b903fcd06df34526ab46383</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10009-022-00669-9$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10009-022-00669-9$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>314,777,781,27905,27906,41469,42538,51300</link.rule.ids></links><search><creatorcontrib>Frenkel, Hadar</creatorcontrib><creatorcontrib>Grumberg, Orna</creatorcontrib><creatorcontrib>Păsăreanu, Corina S.</creatorcontrib><creatorcontrib>Sheinvald, Sarai</creatorcontrib><title>Assume, guarantee or repair: a regular framework for non regular properties</title><title>International journal on software tools for technology transfer</title><addtitle>Int J Softw Tools Technol Transfer</addtitle><description>We present Assume-Guarantee-Repair (AGR)—a novel framework which verifies that a program satisfies a set of properties and also
repairs
the program in case the verification fails. We consider
communicating programs
—these are simple C-like programs, extended with synchronous actions over communication channels. Our method, which consists of a learning-based approach to assume–guarantee reasoning, performs verification and repair simultaneously: in every iteration, AGR either makes another step towards proving that the (current) system satisfies the required properties, or alters the system in a way that brings it closer to satisfying the properties. To handle infinite-state systems we build finite abstractions, for which we check the satisfaction of complex properties that contain first-order constraints, using both syntactic and semantic-aware methods. We implemented AGR and evaluated it on various communication protocols. 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repairs
the program in case the verification fails. We consider
communicating programs
—these are simple C-like programs, extended with synchronous actions over communication channels. Our method, which consists of a learning-based approach to assume–guarantee reasoning, performs verification and repair simultaneously: in every iteration, AGR either makes another step towards proving that the (current) system satisfies the required properties, or alters the system in a way that brings it closer to satisfying the properties. To handle infinite-state systems we build finite abstractions, for which we check the satisfaction of complex properties that contain first-order constraints, using both syntactic and semantic-aware methods. We implemented AGR and evaluated it on various communication protocols. Our experiments present compact proofs of correctness and quick repairs.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s10009-022-00669-9</doi><tpages>23</tpages><oa>free_for_read</oa></addata></record> |
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title | Assume, guarantee or repair: a regular framework for non regular properties |
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