Binary Covering Arrays and Existentially Closed Graphs
IWCC '09 Proceedings of the 2nd International Workshop on Coding and Cryptology
Covering and radius-covering arrays: Constructions and classification
Discrete Applied Mathematics
Combinatorial Designs for Authentication and Secrecy Codes
Foundations and Trends in Communications and Information Theory
A survey of combinatorial testing
ACM Computing Surveys (CSUR)
TAIC PART'10 Proceedings of the 5th international academic and industrial conference on Testing - practice and research techniques
Advances in Software Engineering - Special issue on software test automation
Information Sciences: an International Journal
Locating Errors Using ELAs, Covering Arrays, and Adaptive Testing Algorithms
SIAM Journal on Discrete Mathematics
A variable strength interaction test suites generation strategy using Particle Swarm Optimization
Journal of Systems and Software
New bounds for binary covering arrays using simulated annealing
Information Sciences: an International Journal
Efficient conditional expectation algorithms for constructing hash families
IWOCA'11 Proceedings of the 22nd international conference on Combinatorial Algorithms
Strengthening hash families and compressive sensing
Journal of Discrete Algorithms
Randomized post-optimization of covering arrays
European Journal of Combinatorics
Pairwise testing for software product lines: comparison of two approaches
Software Quality Control
Constraints dependent t-way test suite generation using harmony search strategy
PKAW'12 Proceedings of the 12th Pacific Rim conference on Knowledge Management and Acquisition for Intelligent Systems
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Algorithmic construction of software interaction test suites has focussed on pairwise coverage; less is known about the efficient construction of test suites for t-way interactions with t≥3. This study extends an efficient density-based algorithm for pairwise coverage to generate t-way interaction test suites and shows that it guarantees a logarithmic upper bound on the size of the test suites as a function of the number of factors. To complement this theoretical guarantee, an implementation is outlined and some practical improvements are made. Computational comparisons with other published methods are reported. Many of the results improve upon those in the literature. However, limitations on the ability of one-test-at-a-time algorithms are also identified. Copyright © 2008 John Wiley & Sons, Ltd.