Covering Arrays for Efficient Fault Characterization in Complex Configuration Spaces
IEEE Transactions on Software Engineering
Coverage and adequacy in software product line testing
Proceedings of the ISSTA 2006 workshop on Role of software architecture for testing and analysis
The test suite generation problem: Optimal instances and their implications
Discrete Applied Mathematics
A systematic review of search-based testing for non-functional system properties
Information and Software Technology
Interaction Coverage Meets Path Coverage by SMT Constraint Solving
TESTCOM '09/FATES '09 Proceedings of the 21st IFIP WG 6.1 International Conference on Testing of Software and Communication Systems and 9th International FATES Workshop
A survey of combinatorial testing
ACM Computing Surveys (CSUR)
Application of quotient space theory in input-output relationship based combinatorial testing
RSKT'10 Proceedings of the 5th international conference on Rough set and knowledge technology
The Minimal Failure-Causing Schema of Combinatorial Testing
ACM Transactions on Software Engineering and Methodology (TOSEM)
A variable strength interaction test suites generation strategy using Particle Swarm Optimization
Journal of Systems and Software
Divisibility of polynomials over finite fields and combinatorial applications
Designs, Codes and Cryptography
An orchestrated survey of methodologies for automated software test case generation
Journal of Systems and Software
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Complete interaction testing of components is too costlyin all but the smallest systems. Yet component interactionsare likely to cause unexpected faults. Recently, design of experimenttechniques have been applied to software testingto guarantee a minimum coverage of all t-way interactionsacross components.However, t is always fixed.This paperexamines the need to vary the size of t in an individual testsuite and defines a new object, the variable strength coveringarray, that has this property.We present some computationalmethods to find variable strength arrays and provideinitial bounds for a group of these objects.