Empirical Evaluation Methods for Pattern Languages: Sketches, Classification, and Network Analysis

Niels Seidel
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引用次数: 6

Abstract

After elaborating design patterns in a certain field or domain building a pattern language will be the next step. This can be a challenging task, because a large amount of text with numerous cross-references and dependencies needs to become inherently consistent. In order to improve the quality of a pattern language it is necessary to analyse and evaluate all individual patterns as well as the pattern language as a whole. This paper provides an overview of existing evaluation methods for pattern languages and contributes further empirical methods that aim to assess and analyse pattern languages from different perspectives. Methods for sketching patterns, pattern classification, and the network analysis of pattern interrelation will be introduced and explained. The three methods are applied and tested in a case study about a pattern language for video learning environments.
模式语言的经验评价方法:草图、分类和网络分析
在详细阐述某个领域或领域的设计模式之后,构建模式语言将是下一步。这可能是一项具有挑战性的任务,因为具有大量交叉引用和依赖关系的大量文本需要变得内在一致。为了提高模式语言的质量,有必要对所有单个模式以及整个模式语言进行分析和评估。本文概述了现有的模式语言评估方法,并提供了进一步的实证方法,旨在从不同的角度评估和分析模式语言。介绍并解释了图案的绘制方法、图案分类方法以及图案相互关系的网络分析方法。在一个视频学习环境的模式语言案例研究中,对这三种方法进行了应用和测试。
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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