面向对象逆向工程的混合程序模型

Michael W. Godfrey
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引用次数: 6

摘要

解决面向对象逆向工程中可伸缩性挑战的一种常用策略是合成粗粒度表示,例如包图。然而,传统的粗粒度表示不太适合面向对象的程序理解,因为它们很难映射到领域对象模型,包含很少的实际细节,并且为开发期间所做的设计决策提供很少的线索。在本文中,我们提出了一个面向对象软件的混合模型,它混合了不同粒度级别的类和实体的使用。每个粗粒度实体表示一组软件对象,并包含它所表示的对象的完整静态描述。这种混合模型允许维护人员将对象理解为独立的单元,并在不同的粒度级别上关注它们的外部属性和相互关系。我们通过一个探索性的案例研究来证明混合模型对程序理解的有用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Hybrid Program Model for Object-Oriented Reverse Engineering
A commonly used strategy to address the scalability challenge in object-oriented reverse engineering is to synthesize coarse-grained representations, such as package diagrams. However, the traditional coarse-grained representations are poorly suited to object-oriented program comprehension as they can be difficult to map to the domain object models, contain little real detail, and provide few clues to the design decisions made during development. In this paper, we propose a hybrid model of object-oriented software that blends the use of classes and entities at different levels of granularity. Each coarse-grained entity represents a set of software objects, and contains the complete static description of the objects it represents. This hybrid model allows maintainers to understand objects as independent units, and focus on the their external properties and their interrelationships at different levels of granularity. We show the usefulness of the hybrid model to program comprehension by means of an exploratory case study.
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