{"title":"通过异步调用动态检测JavaScript中dom相关的原子性违规","authors":"Dezhi Wang, Lei Xu, Baowen Xu, Weifeng Zhang","doi":"10.1109/SATE.2016.14","DOIUrl":null,"url":null,"abstract":"In Web applications, atomicity violations caused by AJAX (Asynchronous JavaScript and XML) generate non-determinism and inconsistency. This paper introduces a dynamical detecting approach for atomicity violations in AJAX. Implemented based on Jalangi, an existing instrumentation framework, our technique monitors the execution of a Web application and tracks the Function Callback Flow to find atomic regions by taint analysis. Next, we build a dynamic event model, so as to precisely record the related DOM elements in call and callback steps with low overhead. Then we develop an event-based algorithm to acquire the results, which are classified into different severity levels (benign or harmful). Finally, we conduct an empirical experiment on a subset of Alexa top-ranked websites. Our tool detects 175 DOM related atomicity violations in which 48.6% of violations are identified as harmful after manual inspection.","PeriodicalId":344531,"journal":{"name":"2016 International Conference on Software Analysis, Testing and Evolution (SATE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Dynamically Detecting DOM-Related Atomicity Violations in JavaScript with Asynchronous Call\",\"authors\":\"Dezhi Wang, Lei Xu, Baowen Xu, Weifeng Zhang\",\"doi\":\"10.1109/SATE.2016.14\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In Web applications, atomicity violations caused by AJAX (Asynchronous JavaScript and XML) generate non-determinism and inconsistency. This paper introduces a dynamical detecting approach for atomicity violations in AJAX. Implemented based on Jalangi, an existing instrumentation framework, our technique monitors the execution of a Web application and tracks the Function Callback Flow to find atomic regions by taint analysis. Next, we build a dynamic event model, so as to precisely record the related DOM elements in call and callback steps with low overhead. Then we develop an event-based algorithm to acquire the results, which are classified into different severity levels (benign or harmful). Finally, we conduct an empirical experiment on a subset of Alexa top-ranked websites. Our tool detects 175 DOM related atomicity violations in which 48.6% of violations are identified as harmful after manual inspection.\",\"PeriodicalId\":344531,\"journal\":{\"name\":\"2016 International Conference on Software Analysis, Testing and Evolution (SATE)\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Conference on Software Analysis, Testing and Evolution (SATE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SATE.2016.14\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Software Analysis, Testing and Evolution (SATE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SATE.2016.14","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Dynamically Detecting DOM-Related Atomicity Violations in JavaScript with Asynchronous Call
In Web applications, atomicity violations caused by AJAX (Asynchronous JavaScript and XML) generate non-determinism and inconsistency. This paper introduces a dynamical detecting approach for atomicity violations in AJAX. Implemented based on Jalangi, an existing instrumentation framework, our technique monitors the execution of a Web application and tracks the Function Callback Flow to find atomic regions by taint analysis. Next, we build a dynamic event model, so as to precisely record the related DOM elements in call and callback steps with low overhead. Then we develop an event-based algorithm to acquire the results, which are classified into different severity levels (benign or harmful). Finally, we conduct an empirical experiment on a subset of Alexa top-ranked websites. Our tool detects 175 DOM related atomicity violations in which 48.6% of violations are identified as harmful after manual inspection.