Research on pairwise, orthoganal array and combinatorial software testing
- Combinatorial Software Testing by Rick Kuhn, Yu Lei and Justin Hunter, 2009. "Other empirical investigations have concluded that from 50 to 97 percent of software faults could be identified by pairwise combinatorial testing."
- Test Case Generation Using Combinatorial Based Coverage for Rich Web Applications by Chad Maughan, 2012. "Using a sample [Rich Web Application] RWA seeded with various JavaScript faults, I demonstrate in this thesis,as an empirical study, that combinatorial testing algorithms and reduction strategies also apply to new RWAs."
- Evaluation of Fault Detection Effectiveness for Combinatorial and Exhaustive Selection of Discretized Test Inputs by Carmelo Montanez, Richard Kuhn, Mary Brady, Richard Rivello, Jenise Reyes, and Michael Power (NIST), 2012.
- Pairwise Testing in Real World by Jacek Czerwonka, Microsoft, 2006.
- An Investigation of the Applicability of Design of Experiments to Software Testing by Richard Kuhn and Michael J. Reilly, 2002.
- Failure Modes in Medical Device Software: An Analysis of 15 Years of Recall Data by Dolores Wallace and Richard Kuhn, 2001.
- An Evaluation of Combination Strategies for Test Case Selection by M. Grindal, B. Lindström, J. Offutt, and S.F. Andler, 2006.
- Reducing Time to Market with Combinatorial Design Method Testing by Jerry Huller, 2000.
- Combinatorial Test Techniques: Table-based Automation, Test Generation and Code Coverage by Kevin Burr and William Young, 1998.