节点文献
基于SWEBOK的软件工程知识分类模型及算法
SWEBOK-based Knowledge Categorization Model and Algorithm in Software Engineering
【摘要】 软件组织内部智慧资产的有效组织和管理一直是一个悬而未决的问题。将文本分类技术引入到软件工程知识分类领域,首先综合分析了软件工程领域知识的基本类型和特性;之后依据这些特性结合软件工程知识体系(SWEBOK:Software Engineering Body of Knowledge),提出了一个软件工程知识的分类模型和算法;最后通过实验验证了提出的模型和算法的有效性。实验结果表明,该模型和算法具有良好的分类性能,为软件工程知识的有效分类提供了一种途径。
【Abstract】 It is still one of the main directions pursued by researchers that how organizational assets can be effectively composed and managed into useful asset libraries. The text categorization was utilized to categorize software engineering knowledge. Firstly,fundamental knowledge types in software engineering were carefully analyzed as well as their characteristics. Then,incorporated with SWEBOK (Software Engineering Body of Knowledge),a categorization model as well as its implementing algorithm for software engineering knowledge were proposed. Finally,the effectiveness of the proposed algorithm was evaluated by experiments. The validated data demonstrates that the model and algorithm have sound performance which can facilitate the categorization of software engineering knowledge.
【Key words】 SWEBOK; Knowledge Categorization; Software Engineering; Text Categorization; Categorization Algorithm;
- 【文献出处】 系统仿真学报 ,Journal of System Simulation , 编辑部邮箱 ,2008年17期
- 【分类号】TP311.52
- 【被引频次】7
- 【下载频次】270