逆向工程UML类图的交互式可伸缩抽象

Mohd Hafeez Osman, M. Chaudron, P. V. D. Putten
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引用次数: 7

摘要

在软件开发和维护中消耗的大部分时间都花在理解软件上,这表明它是一项关键的活动。软件文档,包括软件架构设计文档,是理解软件的重要辅助工具。然而,让文档与不断发展的源代码保持同步通常是具有挑战性的,而且缺乏最新的或更全面的设计级文档也很常见。作为一种解决方案,软件架构设计可以使用逆向工程技术来恢复。然而,现有的逆向工程方法产生完整的设计图,其中包括源代码中存在的所有细节。缺乏对实现细节的抽象限制了现有逆向工程技术对理解软件的有用性。本文旨在通过提供一种方法和工具来解决这个问题,这种方法和工具允许开发人员在可伸缩的抽象层次上交互式地探索逆向工程类图。为此,我们提出了一个软件架构抽象(SAAbs)框架和一个实现SAAbs框架的自动化工具。SAAbs框架应用机器学习评分算法为类图生成类重要性排名,该排名是软件架构抽象和可视化的基础。我们通过使用半结构化调查验证SAAbs工具来验证这个框架。平均而言,30个调查对象给5.40分(满分6分)打分,这表明这是一个帮助软件开发人员理解系统的有用工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Interactive Scalable Abstraction of Reverse Engineered UML Class Diagrams
A large fraction of the time consumed in software development and maintenance is spent on understanding the software, which indicates it is a critical activity. Software documentation, including software architecture design documentation, is an important aid in software comprehension. However, keeping documentation up to date with evolving source code is often challenging and absence of up date or more comprehensive design-level documentation is not uncommon. As a solution, software architecture design may be recovered using reverse engineering techniques. However, existing reverse engineering methods produce complete design diagrams that include all the details that exist in the source code. The absence of abstraction from implementation details limits the usefulness of existing reverse engineering techniques for understanding software. This paper aims to address this problem by providing a method and tool that interactively allows developers to interactively explore a reverse engineered class diagram at scalable levels of abstraction. To this end, we propose a Software Architecure Abstraction (SAAbs) framework and an automated tool which implements the SAAbs framework. The SAAbs framework applies a machine learning scoring algorithm to produce a class importance ranking for class diagrams, this ranking is the basis for software architecture abstraction and visualization. We validate this framework by validating the SAAbs tool using a semi-structured survey. On average, 30 respondents of this survey rated 5.40 out of 6 points, which indicate that this is a useful tool to assist software developers in understanding a system.
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