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This paper proposes a novel column generation framework for combinatorialsoftware testing. In particular, it combines Mathematical Programming andConstraint Programming in a hybrid decomposition to generate covering arrays.The approach allows generating parameterized test cases with coverageguarantees between parameter interactions of a given application. Compared toexhaustive testing, combinatorial test case generation reduces the number oftests to run significantly. Our column generation algorithm is generic and canaccommodate mixed coverage arrays over heterogeneous alphabets. The algorithmis realized in practice as a cloud service and recognized as one of the fivewinners of the company-wide cloud application challenge at Oracle. The serviceis currently helping software developers from a range of different productteams in their testing efforts while exposing declarative constraint models andhybrid optimization techniques to a broader audience.

Column Generation for Interaction Coverage in Combinatorial Software Testing