Validation of information system models: Petri nets and test case generation

Abstract

High-level Petri nets provide a graphical language for the modeling of distributed information systems. Petri nets can be validated by simulation. In this paper, a technique is proposed which generates test cases for the simulation of high-level Petri nets in a systematic way. The approach is called cause-effect-net-concept and is derived from a program code testing concept, the so-called cause-effect graphing. As an extension of the concept, a method for test data generation is demonstrated.