DART: A Framework for Regression Testing "Nightly/daily Builds" of GUI Applications
ICSM '03 Proceedings of the International Conference on Software Maintenance
GUI Ripping: Reverse Engineering of Graphical User Interfaces for Testing
WCRE '03 Proceedings of the 10th Working Conference on Reverse Engineering
DART: directed automated random testing
Proceedings of the 2005 ACM SIGPLAN conference on Programming language design and implementation
Search-based software test data generation: a survey: Research Articles
Software Testing, Verification & Reliability
Using GUI Run-Time State as Feedback to Generate Test Cases
ICSE '07 Proceedings of the 29th international conference on Software Engineering
Randoop: feedback-directed random testing for Java
Companion to the 22nd ACM SIGPLAN conference on Object-oriented programming systems and applications companion
A metaheuristic approach to test sequence generation for applications with a GUI
SSBSE'11 Proceedings of the Third international conference on Search based software engineering
Evolutionary Generation of Whole Test Suites
QSIC '11 Proceedings of the 2011 11th International Conference on Quality Software
WebMate: a tool for testing web 2.0 applications
Proceedings of the Workshop on JavaScript Tools
Search-based system testing: high coverage, no false alarms
Proceedings of the 2012 International Symposium on Software Testing and Analysis
Grouping target paths for evolutionary generation of test data in parallel
Journal of Systems and Software
Efficient and flexible GUI test execution via test merging
Proceedings of the 2013 International Symposium on Software Testing and Analysis
Mining behavior models from enterprise web applications
Proceedings of the 2013 9th Joint Meeting on Foundations of Software Engineering
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Test generation tools commonly aim to cover structural artefacts of software, such as either the source code or the user interface. However, focusing only on source code can lead to unrealistic or irrelevant test cases, while only exploring a user interface often misses much of the underlying program behavior. Our EXSYST prototype takes a new approach by exploring user interfaces while aiming to maximize code coverage, thus combining the best of both worlds. Experiments show that such an approach can achieve high code coverage matching and exceeding the code coverage of traditional unit-based test generators; yet, by construction every test case is realistic and relevant, and every detected failure can be shown to be caused by a real sequence of input events.