LICCA: A tool for cross-language clone detection

2018 IEEE 25th International Conference on Software Analysis, Evolution and Reengineering (SANER) Pub Date : 2018-03-01 DOI:10.1109/SANER.2018.8330250

Tijana Vislavski, Gordana Rakic, Nicolás Cardozo, Z. Budimac

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引用次数: 36

Abstract

Code clones mostly have been proven harmful for the development and maintenance of software systems, leading to code deterioration and an increase in bugs as the system evolves. Modern software systems are composed of several components, incorporating multiple technologies in their development. In such systems, it is common to replicate (parts of) functionality across the different components, potentially in a different programming language. Effect of these duplicates is more acute, as their identification becomes more challenging. This paper presents LICCA, a tool for the identification of duplicate code fragments across multiple languages. LICCA is integrated with the SSQSA platform and relies on its high-level representation of code in which it is possible to extract syntactic and semantic characteristics of code fragments positing full cross-language clone detection. LICCA is on a technology development level. We demonstrate its potential by adopting a set of cloning scenarios, extended and rewritten in five characteristic languages: Java, C, JavaScript, Modula-2 and Scheme.

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LICCA:跨语言克隆检测工具

事实证明，代码克隆对软件系统的开发和维护是有害的，随着系统的发展，它会导致代码的退化和bug的增加。现代软件系统由几个组件组成，在其开发中结合了多种技术。在这样的系统中，跨不同组件(可能使用不同的编程语言)复制(部分)功能是很常见的。这些重复的影响更严重，因为它们的识别变得更具挑战性。本文介绍了LICCA，一种跨多种语言识别重复代码片段的工具。LICCA与SSQSA平台集成，并依赖于其代码的高级表示，其中可以提取代码片段的语法和语义特征，从而实现完整的跨语言克隆检测。LICCA处于技术发展水平。我们通过采用一组克隆场景来展示其潜力，这些场景使用五种特色语言进行扩展和重写:Java、C、JavaScript、Modula-2和Scheme。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2018 IEEE 25th International Conference on Software Analysis, Evolution and Reengineering (SANER)

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