Using Dynamic Analysis and Clustering for Implementing Services by Reusing Legacy Code

Andreas Fuhr, Tassilo Horn, Volker Riediger
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引用次数: 12

Abstract

Migrating legacy systems towards Service-Oriented Architectures requires the identification of legacy code that is able to implement the new services. This paper proposes an approach combining dynamic analysis and data mining techniques to map legacy code to business processes and to identify code for service implementations based on this mapping. Validating the clustering solution in a first case study resulted in values of 70,6% in precision and 83,5% in recall.
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使用动态分析和集群通过重用遗留代码实现服务
将遗留系统迁移到面向服务的体系结构需要识别能够实现新服务的遗留代码。本文提出了一种结合动态分析和数据挖掘技术的方法,将遗留代码映射到业务流程,并根据这种映射识别服务实现的代码。在第一个案例研究中验证聚类解决方案的结果是精度为73.6%,召回率为83.5%。
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