A measurement framework for evaluating model-based test generation tools

摘要

This paper presents a measurement framework for evaluating model-based test generation (MBTG) tools. The proposed framework is derived by using the Goal Question Metric methodology, which helps formulate the metrics of interest: complexity, ease of learning, effectiveness, efficiency, and scalability. We demonstrate the steps involved in evaluating MBTG tools by describing a case study designed for this purpose. This case study involves the use of four MBTG tools that differ in their modeling techniques, test specification techniques, and test generation algorithms.