Clone detection meets Semantic Web-based transitive closure computation

I. Keivanloo, J. Rilling
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引用次数: 8

Abstract

In this paper we discuss a new application of Semantic Web and Artificial Intelligence in software analysis research. We show on a concrete example - clone detection for object-oriented source code that transitivity closure computation can provide added value to the clone detection community. Our novel approach models the domain of discourse knowledge as a mixture of source code patterns and inheritance trees represented as Directed Acyclic Graphs. Our approach promotes the use of Semantic Web and inference engines in source code analysis. More specifically we take advantage of the Semantic Web and its support for knowledge modeling and transitive closure computation to detect semantic source code clones not detected by traditional detection tools.
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克隆检测满足基于语义的传递闭包计算
本文讨论了语义网和人工智能在软件分析研究中的新应用。我们以一个具体的例子——面向对象源代码的克隆检测为例,说明传递性闭包计算可以为克隆检测社区提供附加值。我们的新方法将话语知识领域建模为源代码模式和以有向无环图表示的继承树的混合。我们的方法促进了在源代码分析中使用语义网和推理引擎。更具体地说,我们利用语义Web及其对知识建模和传递闭包计算的支持来检测传统检测工具无法检测到的语义源代码克隆。
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Synchronizing domain models with natural language specifications The role of Artificial Intelligence in Software Engineering On software engineering repositories and their open problems Context-based search to overcome learning barriers in software development Clone detection meets Semantic Web-based transitive closure computation
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