Application of statistical science to testing and evaluating software intensive systems

Defense systems are becoming increasingly software intensive. While software enhances the effectiveness and flexibility of these systems, it also introduces vulnerabilities related to inadequacies in software design, maintenance, and configuration control. Effective testing of these systems must take into account the special vulnerabilities introduced by software. The software testing problem is complex because of the astronomical number of scenarios and states of use. The domain of testing is large and complex beyond human intuition. Because the software testing problem is so complex, statistical principles must be used to guide testing strategy in order to get the best information for the resources invested in testing. From a statistical point of view, all the topics in this paper follow sound problem solving principles and are direct applications of well established theory and methodology. From a software testing point of view the application of statistical science is relatively new and rapidly evolving, as an increasing range of statistical principles is applied to a growing variety of systems. Statistical testing is used in pockets of industry and agencies of government, including the DoD, on both experimental and routine bases. This paper is a composite of what is in hand and within reasonable reach in the application of statistical science to software testing