Teaching Distributed Artificial Intelligence with RoboRally
MATES '08 Proceedings of the 6th German conference on Multiagent System Technologies
Design rationale: Researching under uncertainty
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
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Software engineering courses often use industrial modeling tools for their infrastructure, as it exposes students to the state-of-the practice and increases their awareness about the complexity of their craft. However, this approach has the risk of expending a disproportionate amount of effort on tools as opposed to teaching concepts. Moreover, industrial tools often do not include didactic concepts needed for education. In this paper, we discuss our experience with an integrated, rationale-based modeling tool in a variety of software engineering courses. By providing an integrated modeling environment, students use a single tool for requirements, system design, test planning, and collaboration. By attaching rationale to the models, students are encouraged to reflect on their work while instructors can monitor them and provide more insightful feedback.