Towards ontology-driven heuristic assessment generation for software design patterns

被引：0
|
作者：
Zualkeman, Mran A. [1 ]
Shouman, Maha [1 ]
机构：
[1] Amer Univ Shaijah, Shaijah, U Arab Emirates
来源：
8TH IEEE INTERNATIONAL CONFERENCE ON ADVANCED LEARNING TECHNOLOGIES, PROCEEDINGS | 2008年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
nile software design patterns have been proposed for a wide variety of software domains, surprisingly little has been done to formalize an online assessment methodology. In other words, how does one assess a software engineer's learning of a particular design pattern? This paper presents a framework and a tool motivated by Bloom's Taxonomy that extends an existing ORE ontology for design patterns in combination with assessment-generation heuristics to generate online assessments for software engineers. The resulting assessments are expressed in XML using the IMS-QTI standard. The paper also presents example assessments for GOF design patterns.
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收藏
页码：922 / 924
页数：3
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