Evolving legacy system features into fine-grained components

A. Mehta, G. Heineman
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引用次数: 79

Abstract

There is a constant need for practical, efficient, and cost-effective software evolution techniques. We propose a novel evolution methodology that integrates the concepts of features, regression tests, and component-based software engineering (CBSE). Regression test cases are untapped resources, full of information about system features. By exercising each feature with its associated test cases using code profilers and similar tools, code can be located and refactored to create components. These components are then inserted back into the legacy system, ensuring a working system structure. This methodology is divided into three parts. Part one identifies the source code associated with features that need evolution. Part two deals with creating components and part three measures results. By applying this methodology, AFS has successfully restructured its enterprise legacy system and reduced the costs of future maintenance. Additionally, the components that were refactored from the legacy system are currently being used within a web-enabled application.
将遗留系统特性演化为细粒度组件
对实用、高效和经济的软件演进技术的需求一直存在。我们提出了一种新的进化方法,它集成了特征、回归测试和基于组件的软件工程(CBSE)的概念。回归测试用例是未开发的资源,充满了关于系统特性的信息。通过使用代码分析器和类似的工具对每个特性及其相关的测试用例进行练习,可以定位并重构代码以创建组件。然后将这些组件插入到遗留系统中,确保系统结构正常工作。该方法分为三个部分。第一部分确定与需要改进的特性相关的源代码。第2部分讨论创建组件,第3部分度量结果。通过应用这种方法,AFS成功地重组了其企业遗留系统,并降低了未来维护的成本。此外,从遗留系统重构的组件目前正在支持web的应用程序中使用。
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