Effort Comparison for Model-Based Testing Scenarios

In the literature of model-based testing (MBT), different testing scenarios are introduced. These scenarios mainly differ in the origin and content of test models which has an impact on testing activities. For example, if developers models are directly used as test models, the efforts for test model creation will be low, however the evaluation of test results will need more efforts [2]. We investigated the differences of MBT scenarios from a test manager's point of view trying to answer the following questions: Which efforts must be calculated when applying the different MBT scenarios? Can we systematically analyze and compare the different scenarios in the literature? For answering these questions we propose a GQM-based approach where we systematically define metrics for characterizing and comparing MBT scenarios.