摘要
目前MDA开发过程中仍采用人工捕获、文字描述的传统需求获取形式,这影响了需求模型与PIM模型的精度和一致性,降低了MDA开发的自动化程度。重点研究开发了一个可视化需求捕获工具。该工具采用MDA框架以及GEF等技术进行开发,基于目标-情景的捕获方式进行需求获取,同时支持以需求文档与XML的形式将需求模型导出,为需求模型到PIM模型的转换提供了足够信息。最后通过实例验证了该捕获工具的有效性。该工具弥补了MDA中没有独立需求捕获阶段的不足,在一定程度上完善了MDA的开发流程,提高了MDA软件开发的自动化程度。
By now, the traditional ways of MDA developing process have always been the manual capture and text descriptions,which has affected the accuracy and consistency of both demand model and PIM model,and reduced the automation degree of MDA development. This article offered the way of how to develop a visual demand capture tool. With the technology of MDA framework and the GEF adopted in whose development, this tool runs the demand capture in the goal-situation capturing way. Whereas it offers the feasibility of exporting the demand model in the form of both requirements document and XML, and provides enough information for the conversion from demand model to PMI model. Finally, the examples offered in this article demonstrate the effectiveness of the capture tool. By this tool, the lack of independent requirements capture process can be made up, and to some extent, the development of MDA process and the automation degree of MDA software can be improved.
出处
《计算机科学》
CSCD
北大核心
2014年第10期204-209,共6页
Computer Science
基金
国家自然科学基金(61272194)资助