ATR: template-based repair for Alloy specifications

Autores
Zheng, Guolong; Nguyen, ThanhVu; Gutiérrez Brida, Simón; Regis, Germán; Aguirre, Nazareno Matías; Frias, Marcelo F.; Bagheri, Hamid
Año de publicación
2022
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Automatic Program Repair (APR) is a practical research topic that studies techniques to automatically repair programs to fix bugs. Most existing APR techniques are designed for imperative programming languages, such as C and Java, and rely on analyzing correct and incorrect executions of programs to identify and repair suspicious statements. We introduce a new APR approach for software specifications written in the Alloy declarative language, where specifications are not “executed”, but rather converted into logical formulas and analyzed using backend constraint solvers, to find specification instances and counterexamples to assertions. We present ATR, a technique that takes as input an Alloy specification with some violated assertion and returns a repaired specification that satisfies the assertion. The key ideas are (i) analyzing the differences between counterexamples that do not satisfy the assertion and instances that do satisfy the assertion to guide the repair and (ii) generating repair candidates from specific templates and pruning the space of repair candidates using the counterexamples and satisfying instances.Experimental results using existing large Alloy benchmarks show that ATR is effective in generating complex repairs. ATR repairs 66.3% of 1974 fault specifications, including specification repairs that cannot be handled by existing Alloy repair techniques. ATR and all benchmarks are open-source and available in the following Github repository: https://github.com/guolong-zheng/atmprep. This work was accepted for publication at 31st ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA 2022) on July 2022.
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
Automatic Program Repair
Alloy
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/151646

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spelling ATR: template-based repair for Alloy specificationsZheng, GuolongNguyen, ThanhVuGutiérrez Brida, SimónRegis, GermánAguirre, Nazareno MatíasFrias, Marcelo F.Bagheri, HamidCiencias InformáticasAutomatic Program RepairAlloyAutomatic Program Repair (APR) is a practical research topic that studies techniques to automatically repair programs to fix bugs. Most existing APR techniques are designed for imperative programming languages, such as C and Java, and rely on analyzing correct and incorrect executions of programs to identify and repair suspicious statements. We introduce a new APR approach for software specifications written in the Alloy declarative language, where specifications are not “executed”, but rather converted into logical formulas and analyzed using backend constraint solvers, to find specification instances and counterexamples to assertions. We present ATR, a technique that takes as input an Alloy specification with some violated assertion and returns a repaired specification that satisfies the assertion. The key ideas are (i) analyzing the differences between counterexamples that do not satisfy the assertion and instances that do satisfy the assertion to guide the repair and (ii) generating repair candidates from specific templates and pruning the space of repair candidates using the counterexamples and satisfying instances.Experimental results using existing large Alloy benchmarks show that ATR is effective in generating complex repairs. ATR repairs 66.3% of 1974 fault specifications, including specification repairs that cannot be handled by existing Alloy repair techniques. ATR and all benchmarks are open-source and available in the following Github repository: https://github.com/guolong-zheng/atmprep. This work was accepted for publication at 31st ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA 2022) on July 2022.Sociedad Argentina de Informática e Investigación Operativa2022-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionResumenhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf71-71http://sedici.unlp.edu.ar/handle/10915/151646enginfo:eu-repo/semantics/altIdentifier/url/https://publicaciones.sadio.org.ar/index.php/JAIIO/article/download/303/252info:eu-repo/semantics/altIdentifier/issn/2451-7496info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-22T17:19:58Zoai:sedici.unlp.edu.ar:10915/151646Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-22 17:19:58.371SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv ATR: template-based repair for Alloy specifications
title ATR: template-based repair for Alloy specifications
spellingShingle ATR: template-based repair for Alloy specifications
Zheng, Guolong
Ciencias Informáticas
Automatic Program Repair
Alloy
title_short ATR: template-based repair for Alloy specifications
title_full ATR: template-based repair for Alloy specifications
title_fullStr ATR: template-based repair for Alloy specifications
title_full_unstemmed ATR: template-based repair for Alloy specifications
title_sort ATR: template-based repair for Alloy specifications
dc.creator.none.fl_str_mv Zheng, Guolong
Nguyen, ThanhVu
Gutiérrez Brida, Simón
Regis, Germán
Aguirre, Nazareno Matías
Frias, Marcelo F.
Bagheri, Hamid
author Zheng, Guolong
author_facet Zheng, Guolong
Nguyen, ThanhVu
Gutiérrez Brida, Simón
Regis, Germán
Aguirre, Nazareno Matías
Frias, Marcelo F.
Bagheri, Hamid
author_role author
author2 Nguyen, ThanhVu
Gutiérrez Brida, Simón
Regis, Germán
Aguirre, Nazareno Matías
Frias, Marcelo F.
Bagheri, Hamid
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Automatic Program Repair
Alloy
topic Ciencias Informáticas
Automatic Program Repair
Alloy
dc.description.none.fl_txt_mv Automatic Program Repair (APR) is a practical research topic that studies techniques to automatically repair programs to fix bugs. Most existing APR techniques are designed for imperative programming languages, such as C and Java, and rely on analyzing correct and incorrect executions of programs to identify and repair suspicious statements. We introduce a new APR approach for software specifications written in the Alloy declarative language, where specifications are not “executed”, but rather converted into logical formulas and analyzed using backend constraint solvers, to find specification instances and counterexamples to assertions. We present ATR, a technique that takes as input an Alloy specification with some violated assertion and returns a repaired specification that satisfies the assertion. The key ideas are (i) analyzing the differences between counterexamples that do not satisfy the assertion and instances that do satisfy the assertion to guide the repair and (ii) generating repair candidates from specific templates and pruning the space of repair candidates using the counterexamples and satisfying instances.Experimental results using existing large Alloy benchmarks show that ATR is effective in generating complex repairs. ATR repairs 66.3% of 1974 fault specifications, including specification repairs that cannot be handled by existing Alloy repair techniques. ATR and all benchmarks are open-source and available in the following Github repository: https://github.com/guolong-zheng/atmprep. This work was accepted for publication at 31st ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA 2022) on July 2022.
Sociedad Argentina de Informática e Investigación Operativa
description Automatic Program Repair (APR) is a practical research topic that studies techniques to automatically repair programs to fix bugs. Most existing APR techniques are designed for imperative programming languages, such as C and Java, and rely on analyzing correct and incorrect executions of programs to identify and repair suspicious statements. We introduce a new APR approach for software specifications written in the Alloy declarative language, where specifications are not “executed”, but rather converted into logical formulas and analyzed using backend constraint solvers, to find specification instances and counterexamples to assertions. We present ATR, a technique that takes as input an Alloy specification with some violated assertion and returns a repaired specification that satisfies the assertion. The key ideas are (i) analyzing the differences between counterexamples that do not satisfy the assertion and instances that do satisfy the assertion to guide the repair and (ii) generating repair candidates from specific templates and pruning the space of repair candidates using the counterexamples and satisfying instances.Experimental results using existing large Alloy benchmarks show that ATR is effective in generating complex repairs. ATR repairs 66.3% of 1974 fault specifications, including specification repairs that cannot be handled by existing Alloy repair techniques. ATR and all benchmarks are open-source and available in the following Github repository: https://github.com/guolong-zheng/atmprep. This work was accepted for publication at 31st ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA 2022) on July 2022.
publishDate 2022
dc.date.none.fl_str_mv 2022-10
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