Automating test case generation for the new generation mission software system

The significant expansion of autonomous control and information processing capabilities in the coming generation of mission software systems results in a qualitatively larger space of behaviors that needs to be “covered” during testing, not only at the system level but also at subsystem and unit levels. A major challenge in this area is to automatically generate a relatively small set of test cases that, collectively, guarantees a selected degree of coverage of the behavior space. This paper describes an algorithm for a parametric test case generation tool that applies a combinatorial design approach to the selection of candidate test cases. Evaluation of this algorithm on test parameters from the Deep Space One mission reveals a valuable reduction in the number of test cases, when compared to an earlier home-brewed generator