Gal Badishi, Idit Keidar, et al.
IEEE TDSC
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. © 2006 IBM.
Gal Badishi, Idit Keidar, et al.
IEEE TDSC
Sonia Cafieri, Jon Lee, et al.
Journal of Global Optimization
B. Wagle
EJOR
Reena Elangovan, Shubham Jain, et al.
ACM TODAES