Documenting Software Architectural Component and Connector with UML 2

IF 1.2 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

International Journal of Computational Science and Engineering Pub Date : 2015-01-30 DOI:10.26472/IJCES.V1I1.19.G25

Vikram Agrawal

引用次数: 0

Abstract

Earlierversions of the UML have been an out of depth for documenting software architectures like component, port, connector and system. Users have adopted conventions for representing architectural concepts using different grouping of UML modeling element. They can also create profiles to focus the UML. Changes incorporated in UML 2 have improved UML’s suitability for software architectural documentation, but UML is still an out of your depth for documenting some types of architectural information. In this paper, there is description of documenting component and connector using UML but in particular case, documenting architectural connectors and components remains problematic.

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用UML 2记录软件架构组件和连接器

早期版本的UML对于记录软件体系结构(如组件、端口、连接器和系统)来说已经不够深入了。用户已经采用了使用UML建模元素的不同分组来表示体系结构概念的惯例。他们还可以创建概要文件来关注UML。UML 2中所包含的变更改进了UML对软件体系结构文档的适用性，但是UML对于记录某些类型的体系结构信息仍然是超出您的深度的。在本文中，有使用UML记录组件和连接器的描述，但是在特殊情况下，记录架构连接器和组件仍然存在问题。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Computational Science and Engineering COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-

CiteScore

4.00

自引率

40.00%

发文量

期刊介绍： Computational science and engineering is an emerging and promising discipline in shaping future research and development activities in both academia and industry, in fields ranging from engineering, science, finance, and economics, to arts and humanities. New challenges arise in the modelling of complex systems, sophisticated algorithms, advanced scientific and engineering computing and associated (multidisciplinary) problem-solving environments. Because the solution of large and complex problems must cope with tight timing schedules, powerful algorithms and computational techniques, are inevitable. IJCSE addresses the state of the art of all aspects of computational science and engineering with emphasis on computational methods and techniques for science and engineering applications.