Title :
Combinatorial Software Testing
Author :
Kuhn, Rick ; Kacker, Raghu ; Lei, Yu ; Hunter, Justin
Author_Institution :
Nat. Inst. of Stand. & Technol., DC, USA
Abstract :
Combinatorial testing can detect hard-to-find software faults more efficiently than manual test case selection methods. While the most basic form of combinatorial testing-pairwise-is well established, and adoption by software testing practitioners continues to increase, industry usage of these methods remains patchy at best. However, the additional training required is well worth the effort.
Keywords :
program testing; software fault tolerance; combinatorial testing; manual test case selection method; software fault detection; software testing practitioner; Application software; Automatic testing; Life testing; Linux; Manufacturing automation; Operating systems; Personal communication networks; Protocols; Software testing; System testing; Combinatorial software testing; Design and test; Efficient test design methods; Pairwise testing; Software technologies;
DOI :
10.1109/MC.2009.253
