@article {33,
	title = {Pareto Efficient Multi-Objective Regression Test Suite Prioritisation},
	year = {2014},
	month = {04/2014},
	pages = {1--16},
	institution = {Department of Computer Science, University College London},
	address = {Gower Street, London},
	abstract = {Test suite prioritisation seeks a test case ordering that maximises the likelihood of early fault revelation. Previous prioritisation techniques have tended to be single objective, for which the additional greedy algorithm is the current state-of-the-art. We study multi objective test suite prioritisation, evaluating it on multiple versions of five widely-used benchmark programs and a much larger real world system of over 1MLoC. Our multi objective algorithms find faults significantly faster and with large effect size for 20 of the 22 versions. We also introduce a non-lossy coverage compact algorithm that dramatically scales the performance of all algorithms studied by between 2 and 4 orders of magnitude, making prioritisation practical for even very demanding problems.},
	issn = {RN/14/01},
	author = {Michael G. Epitropakis and Shin Yoo and Mark Harman and Edmund K. Burke}
}
