使用自动概念识别从源代码中恢复概念

Maurice M. Carey, G. Gannod
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引用次数: 21

摘要

软件工程师构建的系统的复杂性自该领域开始以来一直在不断增长。没有改变的是工程师们同时处理大约7条不同信息的心智能力。像UML的广泛使用这样的改进已经导致了更抽象的软件设计活动,然而对于逆向工程活动却不是这样。众所周知的概念分配问题仍然在逐行分析源代码的级别上得到解决。将抽象引入问题将允许工程师远离系统的细节,增加他看到领域级概念在系统中所扮演的角色的能力。在本文中,我们提出了一种技术,该技术可以基于类与领域核心概念的关系,在源级方便地从现有系统中过滤类。这种方法可以简化逆向工程和设计恢复的过程,以及其他需要映射到领域级概念的活动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recovering Concepts from Source Code with Automated Concept Identification
The complexity of the systems that software engineers build has continuously grown since the inception of the field. What has not changed is the engineers' mental capacity to operate on about seven distinct pieces of information at a time. Improvements like the widespread use of UML have led to more abstract software design activities, however the same cannot be said for reverse engineering activities. The well known concept assignment problem is still being solved at the line-by-line level of analyzing source code. The introduction of abstraction to the problem will allow the engineer to move farther away from the details of the system, increasing his ability to see the role that domain level concepts play in the system. In this paper we present a technique that facilitates filtering of classes from existing systems at the source level based on their relationship to the core concepts in the domain. This approach can simplify the process of reverse engineering and design recovery, as well as other activities that require a mapping to domain level concepts.
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