Automated analysis of CSS rules to support style maintenance
Proceedings of the 34th International Conference on Software Engineering
JSART: javascript assertion-based regression testing
ICWE'12 Proceedings of the 12th international conference on Web Engineering
Accessibility in rich internet applications: people and research
Proceedings of the 11th Brazilian Symposium on Human Factors in Computing Systems
Guided test generation for web applications
Proceedings of the 2013 International Conference on Software Engineering
Server interface descriptions for automated testing of JavaScript web applications
Proceedings of the 2013 9th Joint Meeting on Foundations of Software Engineering
Mining behavior models from enterprise web applications
Proceedings of the 2013 9th Joint Meeting on Foundations of Software Engineering
Hidden-Web induced by client-side scripting: an empirical study
ICWE'13 Proceedings of the 13th international conference on Web Engineering
Generating feature usage scenarios in client-side web applications
ICWE'13 Proceedings of the 13th international conference on Web Engineering
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Ajax-based Web 2.0 applications rely on stateful asynchronous client/server communication, and client-side runtime manipulation of the DOM tree. This not only makes them fundamentally different from traditional web applications, but also more error-prone and harder to test. We propose a method for testing Ajax applications automatically, based on a crawler to infer a state-flow graph for all (client-side) user interface states. We identify Ajax-specific faults that can occur in such states (related to, e.g., DOM validity, error messages, discoverability, back-button compatibility) as well as DOM-tree invariants that can serve as oracles to detect such faults. Our approach, called Atusa, is implemented in a tool offering generic invariant checking components, a plugin-mechanism to add application-specific state validators, and generation of a test suite covering the paths obtained during crawling. We describe three case studies, consisting of six subjects, evaluating the type of invariants that can be obtained for Ajax applications as well as the fault revealing capabilities, scalability, required manual effort, and level of automation of our testing approach.