Using relationships for matching textual domain models with existing code

Raghavan Komondoor, Indrajit Bhattacharya, D. D'Souza, Sachin Kale
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引用次数: 1

Abstract

We address the task of mapping a given textual domain model (e.g., an industry-standard reference model) for a given domain (e.g., ERP), with the source code of an independently developed application in the same domain. This has applications in improving the understandability of an existing application, migrating it to a more flexible architecture, or integrating it with other related applications. We use the vector-space model to abstractly represent domain model elements as well as source-code artifacts. The key novelty in our approach is to leverage the relationships between source-code artifacts in a principled way to improve the mapping process. We describe experiments wherein we apply our approach to the task of matching two real, open-source applications to corresponding industry-standard domain models. We demonstrate the overall usefulness of our approach, as well as the role of our propagation techniques in improving the precision and recall of the mapping task.
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使用关系将文本域模型与现有代码进行匹配
我们的任务是将给定领域(例如,ERP)的给定文本领域模型(例如,行业标准参考模型)与同一领域中独立开发的应用程序的源代码进行映射。这有助于提高现有应用程序的可理解性,将其迁移到更灵活的体系结构,或将其与其他相关应用程序集成。我们使用向量空间模型抽象地表示领域模型元素以及源代码工件。我们的方法的关键新颖之处在于以一种有原则的方式利用源代码工件之间的关系来改进映射过程。我们描述了一些实验,在这些实验中,我们将我们的方法应用于将两个真实的开源应用程序与相应的行业标准领域模型相匹配的任务。我们展示了我们的方法的总体有用性,以及我们的传播技术在提高映射任务的精度和召回率方面的作用。
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