Towards optimization of the coverage testing of interactive systems

Abstract

This work introduces a model-based approach for minimization of test costs for interactive systems. Results known from state-based conformance testing and graph theory are used and extended to construct algorithms for test case generation and selection to cover the behavioral model of the system under test (SUT). The test case selection on the basis of the established model is ruled by an adequacy criterion, which provides a measure of how effective a given set of test cases is in terms of its potential to reveal faults. The approach is specification-oriented; i.e., the underlying model represents the system behavior interacting with the user's actions, that are viewed here as events.