Prioritizing Test Cases For Regression Testing
IEEE Transactions on Software Engineering
A framework for efficient regression tests on database applications
The VLDB Journal — The International Journal on Very Large Data Bases
Search Algorithms for Regression Test Case Prioritization
IEEE Transactions on Software Engineering
An empirical study of incorporating cost into test suite reduction and prioritization
Proceedings of the 2009 ACM symposium on Applied Computing
Empirically studying the role of selection operators duringsearch-based test suite prioritization
Proceedings of the 12th annual conference on Genetic and evolutionary computation
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The increase in the complexity of modern software has led to the commensurate growth in the size and execution time of the test suites for these programs. In order to address this alarming trend, developers use test suite prioritization to reorder the test cases so that faults can be detected at an early stage of testing. Yet, the implementation and evaluation of greedy and search-based test prioritizers requires access to case study applications and their associated test suites, which are often difficult to find, configure, and use in an empirical study. This paper presents two types of synthetically generated test suites that support this process of experimentally evaluating prioritization methods. Using synthetic test suites affords greater control over test case characteristics and supports the identification of empirical trends that contradict the established wisdom about search-based and greedy prioritization. For instance, we find that the hill climbing algorithm often exhibits a lower time overhead than the greedy test suite prioritizer while often producing test orderings with comparable effectiveness scores.