Speeding up model checking of timed-models by combining scenario specialization and live component analysis
The common practice for verifying properties described as event occurrence patterns is to translate them into observer state machines. The resulting observer is then composed with (the components of) the system under analysis in order to verify a reachability property. Live Component Analysis is a &...
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Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_03029743_v5813LNCS_n_p58_Braberman |
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todo:paper_03029743_v5813LNCS_n_p58_Braberman2023-10-03T15:19:12Z Speeding up model checking of timed-models by combining scenario specialization and live component analysis Braberman, V. Garbervestky, D. Kicillof, N. Monteverde, D. Olivero, A. Abstraction techniques Component analysis Distributed real time system Event pattern Occurrence pattern Reachability State explosion State machine Location Object oriented programming Real time systems Time sharing systems Model checking The common practice for verifying properties described as event occurrence patterns is to translate them into observer state machines. The resulting observer is then composed with (the components of) the system under analysis in order to verify a reachability property. Live Component Analysis is a "cone of influence" abstraction technique aiming at mitigating state explosion by detecting, at each observer location, which components are actually relevant for model checking purposes. Interestingly enough, the more locations the observer has, the more precise the relevance analysis becomes. This work proposes the formal underpinnings of a method to safely leverage this fact when properties are stated as event patterns (scenarios). That is, we present a sound and complete method of property manipulation based on specializing and complementing scenarios. The application of this method is illustrated on two case studies of distributed real-time system designs, showing dramatic improvements in the verification phase, even in situations where verification of the original scenario was unfeasible. © 2009 Springer Berlin Heidelberg. Fil:Braberman, V. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Kicillof, N. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Monteverde, D. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. SER info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_03029743_v5813LNCS_n_p58_Braberman |
institution |
Universidad de Buenos Aires |
institution_str |
I-28 |
repository_str |
R-134 |
collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
topic |
Abstraction techniques Component analysis Distributed real time system Event pattern Occurrence pattern Reachability State explosion State machine Location Object oriented programming Real time systems Time sharing systems Model checking |
spellingShingle |
Abstraction techniques Component analysis Distributed real time system Event pattern Occurrence pattern Reachability State explosion State machine Location Object oriented programming Real time systems Time sharing systems Model checking Braberman, V. Garbervestky, D. Kicillof, N. Monteverde, D. Olivero, A. Speeding up model checking of timed-models by combining scenario specialization and live component analysis |
topic_facet |
Abstraction techniques Component analysis Distributed real time system Event pattern Occurrence pattern Reachability State explosion State machine Location Object oriented programming Real time systems Time sharing systems Model checking |
description |
The common practice for verifying properties described as event occurrence patterns is to translate them into observer state machines. The resulting observer is then composed with (the components of) the system under analysis in order to verify a reachability property. Live Component Analysis is a "cone of influence" abstraction technique aiming at mitigating state explosion by detecting, at each observer location, which components are actually relevant for model checking purposes. Interestingly enough, the more locations the observer has, the more precise the relevance analysis becomes. This work proposes the formal underpinnings of a method to safely leverage this fact when properties are stated as event patterns (scenarios). That is, we present a sound and complete method of property manipulation based on specializing and complementing scenarios. The application of this method is illustrated on two case studies of distributed real-time system designs, showing dramatic improvements in the verification phase, even in situations where verification of the original scenario was unfeasible. © 2009 Springer Berlin Heidelberg. |
format |
SER |
author |
Braberman, V. Garbervestky, D. Kicillof, N. Monteverde, D. Olivero, A. |
author_facet |
Braberman, V. Garbervestky, D. Kicillof, N. Monteverde, D. Olivero, A. |
author_sort |
Braberman, V. |
title |
Speeding up model checking of timed-models by combining scenario specialization and live component analysis |
title_short |
Speeding up model checking of timed-models by combining scenario specialization and live component analysis |
title_full |
Speeding up model checking of timed-models by combining scenario specialization and live component analysis |
title_fullStr |
Speeding up model checking of timed-models by combining scenario specialization and live component analysis |
title_full_unstemmed |
Speeding up model checking of timed-models by combining scenario specialization and live component analysis |
title_sort |
speeding up model checking of timed-models by combining scenario specialization and live component analysis |
url |
http://hdl.handle.net/20.500.12110/paper_03029743_v5813LNCS_n_p58_Braberman |
work_keys_str_mv |
AT brabermanv speedingupmodelcheckingoftimedmodelsbycombiningscenariospecializationandlivecomponentanalysis AT garbervestkyd speedingupmodelcheckingoftimedmodelsbycombiningscenariospecializationandlivecomponentanalysis AT kicillofn speedingupmodelcheckingoftimedmodelsbycombiningscenariospecializationandlivecomponentanalysis AT monteverded speedingupmodelcheckingoftimedmodelsbycombiningscenariospecializationandlivecomponentanalysis AT oliveroa speedingupmodelcheckingoftimedmodelsbycombiningscenariospecializationandlivecomponentanalysis |
_version_ |
1807322285239959552 |