在大型系统中识别持久对象的实验

A. Cimitile, A. D. Lucia, G. D. Lucca
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引用次数: 7

摘要

我们提出了在意大利公共组织的遗留系统中识别粗粒度持久对象的实验。对象方法是在程序级别上通过最小化对象之间的耦合来搜索的。这种策略在增量迁移项目中是有用的,这些项目需要识别很大程度上独立的子系统,这些子系统需要低的再工程和解耦成本,首先将它们封装在不同的包装器中,然后有选择地替换。实验的目的是评估这种方法在应用于大型软件系统时的可行性。本文中介绍的工作是PROGRESS项目的一部分,PROGRESS项目是意大利大学和研究中心开展的意大利公共组织过程和软件再工程研究项目。
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An experiment in identifying persistent objects in large systems
We present an experiment in identifying coarse-grained persistent objects in a legacy system of an Italian public organisation. Object methods are searched for at the program level driven by the minimisation of the coupling between objects. This strategy is useful in incremental migration projects requiring the identification of largely independent subsystems needing low re-engineering and decoupling costs to be first encapsulated in different wrappers and then selectively replaced. The aim of the experiment was to evaluate the feasibility of this approach when applied to large software systems. The work presented in this paper is part of the project PROGRESS, a research project on process and software re-engineering in Italian public organisations carried out by Italian universities and research centres.
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