期刊名称:Journal of Software Engineering and Applications
印刷版ISSN:1945-3116
电子版ISSN:1945-3124
出版年度:2017
卷号:10
期号:07
页码:591-604
DOI:10.4236/jsea.2017.107032
语种:English
出版社:Scientific Research Publishing
摘要:Project-based learning has been in widespread use in education. However, project managers are unaware of the students’ lack of experience and treat them as if they were professional staff. This paper proposes the application of a fuzzy failure mode and effects analysis model for project-based software engineering education. This method integrates the fuzzy rule-based system with learning agents. The agents construct the membership function from historical data. Data are processed by a clustering process that facilitates the construction of the membership function. It helps students who lack experience in risk assessment to develop their expertise in that skill. The paper also suggests a classification technique for a fuzzy rule-based system that can be used to judge risk based on a fuzzy inference system. The student project will thus be further enhanced with respect to risk assessment. We then discuss the design of experiments to verify the proposed model.
关键词:Risk Assessment;Project-Based Learning;Failure Mode and Effects Analysis;Fuzzy Rule-Based System;Intelligent Agents