Building test cases and oracles to automate the testing of web database applications
Information and Software Technology
A survey of combinatorial testing
ACM Computing Surveys (CSUR)
Fault-based test suite prioritization for specification-based testing
Information and Software Technology
Test case filtering and prioritization based on coverage of combinations of program elements
WODA '09 Proceedings of the Seventh International Workshop on Dynamic Analysis
Information and Software Technology
Regression testing minimization, selection and prioritization: a survey
Software Testing, Verification & Reliability
Early detection of faults related to database schematic changes
Proceedings of the 2013 International Workshop on Joining AcadeMiA and Industry Contributions to testing Automation
Proceedings of the 2013 9th Joint Meeting on Foundations of Software Engineering
Parallel execution of prioritized test cases for regression testing of web applications
ACSC '13 Proceedings of the Thirty-Sixth Australasian Computer Science Conference - Volume 135
A novel bipartite graph approach for selection and prioritisation of test cases
ACM SIGSOFT Software Engineering Notes
Towards statistical prioritization for software product lines testing
Proceedings of the Eighth International Workshop on Variability Modelling of Software-Intensive Systems
Static test case prioritization using topic models
Empirical Software Engineering
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Web applications have rapidly become a critical part of business for many organizations. However, increased usage of web applications has not been reciprocated with corresponding increases in reliability. Unique characteristics, such as quick turnaround time, coupled withgrowing popularity motivate the need for efficient and effective web application testing strategies. In this paper, we propose several new test suite prioritization strategies for web applications and examine whether these strategies can improve the rate of fault detection for three web applications and their pre-existing test suites. We prioritize test suites by test lengths, frequency of appearance of request sequences, and systematic coverage of parameter-values and their interactions. Experimental results show that the proposed prioritization criteria often improve the rate of fault detection of the test suites when compared to random ordering of test cases. In general, the best prioritization metrics either (1) consider frequency of appearance of sequences of requests or (2) systematically cover combinations of parameter-values as early as possible.