Sequence Algorithms for Boundary Value Analysis with Constrained Input Parameters

摘要

In this paper, the boundary value analysis method for testing case design is generalized for input parameters with constraints. We introduce the definition of priority levels to classify testing cases into three categories. With three input parameters X, Y and Z, we make the general assumptions of Y is a function of X (Y = f(X)) and Z is a function of X and Y (Z = g(X, Y)). The sequence algorithms for test case design are presented and an auto-generator based on the new algorithm is also developed. As a test to the auto-generator, output from the sample runs to NetProvision Activator (NPA), a real world product, is presented and analyzed.