{"id":158719,"date":"2009-12-18T00:00:00","date_gmt":"2009-12-18T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/dodom-leveraging-dom-invariants-for-web-2-0-application-reliability\/"},"modified":"2018-10-16T19:59:53","modified_gmt":"2018-10-17T02:59:53","slug":"dodom-leveraging-dom-invariants-for-web-2-0-application-reliability","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/dodom-leveraging-dom-invariants-for-web-2-0-application-reliability\/","title":{"rendered":"DoDOM: Leveraging DOM Invariants for Web 2.0 Application Reliability"},"content":{"rendered":"<div class=\"asset-content\">\n<p>Web 2.0 applications are increasing in popularity and are being widely adopted. However, they are prone to errors due to their non-deterministic behavior and the lack of error-detection mechanisms on the client side. This paper presents DoDOM, an automated system for detecting errors in a Web~2.0 application using dynamic analysis. DoDOM repeatedly executes the application under a given sequence of user actions and observes its behavior. Based on the observations, DoDOM extracts a set of invariants on the web application&#8217;s DOM structure. We show that invariants exist for real applications and can be learned within a reasonable number of executions. We further demonstrate the use of the invariants in detecting errors in web applications due to failures of events and the unavailability of domains.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Web 2.0 applications are increasing in popularity and are being widely adopted. However, they are prone to errors due to their non-deterministic behavior and the lack of error-detection mechanisms on the client side. This paper presents DoDOM, an automated system for detecting errors in a Web~2.0 application using dynamic analysis. 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