An investigation of the applicability of design of experiments to software testing

By D. Kuhn, michael. reilly. 27th Annual NASA Goddard/IEEE Software Engineering Workshop, 2002. Proceedings., 2002

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Covering arrays for efficient fault characterization in complex configuration spaces (2004, background): “provide more empirical results to show that this type of test coverage is effecti v [3, 8, 9].”
Combinatorial aspects of covering arrays (2006, background): “Empirical results indicate that testing of all pairwise interactions in a software system indeed finds a large percentage of existing faults [45], [81].”
Software fault interactions and implications for software testing (2004, background): “For example, if a long history of failure data shows that a particular type of application has never required the interaction of more than four parameters to reveal a failure, then an appropriate testing goal for that class of applications might be to test all 5-way or fewer interactions.”
IPOG: A General Strategy for T-Way Software Testing (2007, background): “However, faults can also be caused by interactions involving more than two parameters [10][11].”
Combination testing strategies: a survey (2005, background): “Kuhn and Reilly [29] have investigated 365 error reports from two large open source software projects, 194 from the Mozilla web browser and 174 from the Apache web server.”
A survey of combinatorial testing (2011, background): “Later they studied the fault interactions of large distributed systems, and discovered that the failure-triggering interactions of this kind of systems are mostly 4 to 6 [Kuhn and Reilly 2002; Kuhn and Wallace 2004].”