FLACK: Counterexample-guided fault localization for alloy models
"Fault localization is a practical research topic that helps developers identify code locations that might cause bugs in a program. Most existing fault localization techniques are designed for imperative programs (e.g., C and Java) and rely on analyzing correct and incorrect executions of the...
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Acceso en línea: | http://ri.itba.edu.ar/handle/123456789/3909 |
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I32-R138-123456789-39092022-12-07T14:13:46Z FLACK: Counterexample-guided fault localization for alloy models Zheng, Guolong Nguyen, Thanh Vu Gutiérrez Brida, Simón Regis, Germán Frías, Marcelo Aguirre, Nazareno Bagher, Hamid ANALISIS DE FALLAS LENGUAJES DE PROGRAMACION "Fault localization is a practical research topic that helps developers identify code locations that might cause bugs in a program. Most existing fault localization techniques are designed for imperative programs (e.g., C and Java) and rely on analyzing correct and incorrect executions of the program to identify suspicious statements. In this work, we introduce a fault localization approach for models written in a declarative language, where the models are not “executed,” but rather converted into a logical formula and solved using backend constraint solvers. We present FLACK, a tool that takes as input an Alloy model consisting of some violated assertion and returns a ranked list of suspicious expressions contributing to the assertion violation. The key idea is to analyze the differences between counterexamples, i.e., instances of the model that do not satisfy the assertion, and instances that do satisfy the assertion to find suspicious expressions in the input model. The experimental results show that FLACK is efficient (can handle complex, real world Alloy models with thousand lines of code within 5 seconds), accurate (can consistently rank buggy expressions in the top 1.9% of the suspicious list), and useful (can often narrow down the error to the exact location within the suspicious expressions)." 2022-06-03T13:54:30Z 2022-06-03T13:54:30Z 2021 Ponencias en Congresos info:eu-repo/semantics/acceptedVersion 13-978-1-6654-1219-3 http://ri.itba.edu.ar/handle/123456789/3909 en info:eu-repo/semantics/altIdentifier/doi/10.1109/ICSE43902.2021.00065 info:eu-repo/grantAgreement/ARO/W911NF-19-1- 0054/US. Durham info:eu-repo/grantAgreement/NSF/CCF-1948536/US. Virginia. Alexandria info:eu-repo/grantAgreement/NSF/CCF-1755890/US. Virginia. Alexandria info:eu-repo/grantAgreement/NSF/CCF-1618132/US. Virginia. Alexandria nfo:eu-repo/grantAgreement/ANCyP/PICT/2016-1384/AR. Ciudad Autónoma de Buenos Aires info:eu-repo/grantAgreement/ANCyP/PICT/2016-1384/AR. Ciudad Autónoma de Buenos Aires info:eu-repo/grantAgreement/ANCyP/PICT/2017-2622/AR. Ciudad Autónoma de Buenos Aires application/pdf |
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Instituto Tecnológico de Buenos Aires (ITBA) |
institution_str |
I-32 |
repository_str |
R-138 |
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Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA) |
language |
Inglés |
topic |
ANALISIS DE FALLAS LENGUAJES DE PROGRAMACION |
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ANALISIS DE FALLAS LENGUAJES DE PROGRAMACION Zheng, Guolong Nguyen, Thanh Vu Gutiérrez Brida, Simón Regis, Germán Frías, Marcelo Aguirre, Nazareno Bagher, Hamid FLACK: Counterexample-guided fault localization for alloy models |
topic_facet |
ANALISIS DE FALLAS LENGUAJES DE PROGRAMACION |
description |
"Fault localization is a practical research topic that helps developers identify code locations that might cause bugs in a program. Most existing fault localization techniques are designed for imperative programs (e.g., C and Java) and rely
on analyzing correct and incorrect executions of the program to identify suspicious statements. In this work, we introduce a fault localization approach for models written in a declarative language, where the models are not “executed,” but rather converted into a logical formula and solved using backend constraint solvers. We present FLACK, a tool that takes as input an Alloy model consisting of some violated assertion and returns a ranked list of suspicious expressions contributing to the assertion violation. The key idea is to analyze the differences between counterexamples, i.e., instances of the model that do not satisfy the assertion, and instances that do satisfy the assertion to find suspicious expressions in the input model. The experimental results show that FLACK is efficient (can handle complex, real world Alloy models with thousand lines of code within 5 seconds), accurate (can consistently rank buggy expressions in the top 1.9% of the suspicious list), and useful (can often narrow down the
error to the exact location within the suspicious expressions)." |
format |
Ponencias en Congresos acceptedVersion |
author |
Zheng, Guolong Nguyen, Thanh Vu Gutiérrez Brida, Simón Regis, Germán Frías, Marcelo Aguirre, Nazareno Bagher, Hamid |
author_facet |
Zheng, Guolong Nguyen, Thanh Vu Gutiérrez Brida, Simón Regis, Germán Frías, Marcelo Aguirre, Nazareno Bagher, Hamid |
author_sort |
Zheng, Guolong |
title |
FLACK: Counterexample-guided fault localization for alloy models |
title_short |
FLACK: Counterexample-guided fault localization for alloy models |
title_full |
FLACK: Counterexample-guided fault localization for alloy models |
title_fullStr |
FLACK: Counterexample-guided fault localization for alloy models |
title_full_unstemmed |
FLACK: Counterexample-guided fault localization for alloy models |
title_sort |
flack: counterexample-guided fault localization for alloy models |
publishDate |
2022 |
url |
http://ri.itba.edu.ar/handle/123456789/3909 |
work_keys_str_mv |
AT zhengguolong flackcounterexampleguidedfaultlocalizationforalloymodels AT nguyenthanhvu flackcounterexampleguidedfaultlocalizationforalloymodels AT gutierrezbridasimon flackcounterexampleguidedfaultlocalizationforalloymodels AT regisgerman flackcounterexampleguidedfaultlocalizationforalloymodels AT friasmarcelo flackcounterexampleguidedfaultlocalizationforalloymodels AT aguirrenazareno flackcounterexampleguidedfaultlocalizationforalloymodels AT bagherhamid flackcounterexampleguidedfaultlocalizationforalloymodels |
_version_ |
1765660930520121344 |