Toward automatic generation of novice user test scripts
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Search-based software test data generation: a survey: Research Articles
Software Testing, Verification & Reliability
Evolutionary unit testing of object-oriented software using strongly-typed genetic programming
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Call-Stack Coverage for GUI Test Suite Reduction
IEEE Transactions on Software Engineering
Repairing GUI Test Suites Using a Genetic Algorithm
ICST '10 Proceedings of the 2010 Third International Conference on Software Testing, Verification and Validation
GUITest: a Java library for fully automated GUI robustness testing
Proceedings of the 27th IEEE/ACM International Conference on Automated Software Engineering
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Testing applications with a graphical user interface (GUI) is an important, though challenging and time consuming task. The state of the art in the industry are still capture and replay tools, which greatly simplify the recording and execution of input sequences, but do not support the tester in finding fault-sensitive test cases. While search-based test case generation strategies, such as evolutionary testing, are well researched for various areas of testing, relatively little work has been done on applying these techniques to an entire GUI of an application. This paper presents an approach to finding input sequences for GUIs using ant colony optimization and a relatively new metric called maximum call stacks for use within the fitness function.