{"title":"语法引导的超属性自动程序修复","authors":"Raven Beutner, Tzu-Han Hsu, Borzoo Bonakdarpour, Bernd Finkbeiner","doi":"arxiv-2408.06035","DOIUrl":null,"url":null,"abstract":"We study the problem of automatically repairing infinite-state software\nprograms w.r.t. temporal hyperproperties. As a first step, we present a repair\napproach for the temporal logic HyperLTL based on symbolic execution,\nconstraint generation, and syntax-guided synthesis of repair expression\n(SyGuS). To improve the repair quality, we introduce the notation of a\ntransparent repair that aims to find a patch that is as close as possible to\nthe original program. As a practical realization, we develop an iterative\nrepair approach. Here, we search for a sequence of repairs that are closer and\ncloser to the original program's behavior. We implement our method in a\nprototype and report on encouraging experimental results using off-the-shelf\nSyGuS solvers.","PeriodicalId":501197,"journal":{"name":"arXiv - CS - Programming Languages","volume":"48 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Syntax-Guided Automated Program Repair for Hyperproperties\",\"authors\":\"Raven Beutner, Tzu-Han Hsu, Borzoo Bonakdarpour, Bernd Finkbeiner\",\"doi\":\"arxiv-2408.06035\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We study the problem of automatically repairing infinite-state software\\nprograms w.r.t. temporal hyperproperties. As a first step, we present a repair\\napproach for the temporal logic HyperLTL based on symbolic execution,\\nconstraint generation, and syntax-guided synthesis of repair expression\\n(SyGuS). To improve the repair quality, we introduce the notation of a\\ntransparent repair that aims to find a patch that is as close as possible to\\nthe original program. As a practical realization, we develop an iterative\\nrepair approach. Here, we search for a sequence of repairs that are closer and\\ncloser to the original program's behavior. We implement our method in a\\nprototype and report on encouraging experimental results using off-the-shelf\\nSyGuS solvers.\",\"PeriodicalId\":501197,\"journal\":{\"name\":\"arXiv - CS - Programming Languages\",\"volume\":\"48 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-08-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - CS - Programming Languages\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2408.06035\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Programming Languages","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.06035","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Syntax-Guided Automated Program Repair for Hyperproperties
We study the problem of automatically repairing infinite-state software
programs w.r.t. temporal hyperproperties. As a first step, we present a repair
approach for the temporal logic HyperLTL based on symbolic execution,
constraint generation, and syntax-guided synthesis of repair expression
(SyGuS). To improve the repair quality, we introduce the notation of a
transparent repair that aims to find a patch that is as close as possible to
the original program. As a practical realization, we develop an iterative
repair approach. Here, we search for a sequence of repairs that are closer and
closer to the original program's behavior. We implement our method in a
prototype and report on encouraging experimental results using off-the-shelf
SyGuS solvers.