{"title":"SymJS: JavaScript web应用程序的自动符号测试","authors":"Guodong Li, Esben Andreasen, Indradeep Ghosh","doi":"10.1145/2635868.2635913","DOIUrl":null,"url":null,"abstract":"We present SymJS, a comprehensive framework for automatic testing of client-side JavaScript Web applications. The tool contains a symbolic execution engine for JavaScript, and an automatic event explorer for Web pages. Without any user intervention, SymJS can automatically discover and explore Web events, symbolically execute the associated JavaScript code, refine the execution based on dynamic feedbacks, and produce test cases with high coverage. The symbolic engine contains a symbolic virtual machine, a string-numeric solver, and a symbolic executable DOM model. SymJS's innovations include a novel symbolic virtual machine for JavaScript Web, symbolic+dynamic feedback directed event space exploration, and dynamic taint analysis for enhancing event sequence construction. We illustrate the effectiveness of SymJS on standard JavaScript benchmarks and various real-life Web applications. On average SymJS achieves over 90% line coverage for the benchmark programs, significantly outperforming existing methods.","PeriodicalId":250543,"journal":{"name":"Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering","volume":"103 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"95","resultStr":"{\"title\":\"SymJS: automatic symbolic testing of JavaScript web applications\",\"authors\":\"Guodong Li, Esben Andreasen, Indradeep Ghosh\",\"doi\":\"10.1145/2635868.2635913\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present SymJS, a comprehensive framework for automatic testing of client-side JavaScript Web applications. The tool contains a symbolic execution engine for JavaScript, and an automatic event explorer for Web pages. Without any user intervention, SymJS can automatically discover and explore Web events, symbolically execute the associated JavaScript code, refine the execution based on dynamic feedbacks, and produce test cases with high coverage. The symbolic engine contains a symbolic virtual machine, a string-numeric solver, and a symbolic executable DOM model. SymJS's innovations include a novel symbolic virtual machine for JavaScript Web, symbolic+dynamic feedback directed event space exploration, and dynamic taint analysis for enhancing event sequence construction. We illustrate the effectiveness of SymJS on standard JavaScript benchmarks and various real-life Web applications. On average SymJS achieves over 90% line coverage for the benchmark programs, significantly outperforming existing methods.\",\"PeriodicalId\":250543,\"journal\":{\"name\":\"Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering\",\"volume\":\"103 3\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-11-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"95\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2635868.2635913\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2635868.2635913","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
SymJS: automatic symbolic testing of JavaScript web applications
We present SymJS, a comprehensive framework for automatic testing of client-side JavaScript Web applications. The tool contains a symbolic execution engine for JavaScript, and an automatic event explorer for Web pages. Without any user intervention, SymJS can automatically discover and explore Web events, symbolically execute the associated JavaScript code, refine the execution based on dynamic feedbacks, and produce test cases with high coverage. The symbolic engine contains a symbolic virtual machine, a string-numeric solver, and a symbolic executable DOM model. SymJS's innovations include a novel symbolic virtual machine for JavaScript Web, symbolic+dynamic feedback directed event space exploration, and dynamic taint analysis for enhancing event sequence construction. We illustrate the effectiveness of SymJS on standard JavaScript benchmarks and various real-life Web applications. On average SymJS achieves over 90% line coverage for the benchmark programs, significantly outperforming existing methods.
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