TUNA: TUning Naturalness-Based Analysis

Matthieu Jimenez, Maxime Cordy, Yves Le Traon, Mike Papadakis
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引用次数: 4

Abstract

Natural language processing techniques, in particular n-gram models, have been applied successfully to facilitate a number of software engineering tasks. However, in our related ICSME '18 paper, we have shown that the conclusions of a study can drastically change with respect to how the code is tokenized and how the used n-gram model is parameterized. These choices are thus of utmost importance, and one must carefully make them. To show this and allow the community to benefit from our work, we have developed TUNA (TUning Naturalness-based Analysis), a Java software artifact to perform naturalness-based analyses of source code. To the best of our knowledge, TUNA is the first open-source, end-to-end toolchain to carry out source code analyses based on naturalness.
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金枪鱼:调整基于自然的分析
自然语言处理技术,特别是n-gram模型,已经成功地应用于许多软件工程任务。然而,在我们相关的ICSME '18论文中,我们已经表明,研究的结论可以在代码如何标记和使用的n-gram模型如何参数化方面发生巨大变化。因此,这些选择是极其重要的,必须谨慎地作出选择。为了显示这一点并允许社区从我们的工作中受益,我们开发了TUNA(基于自然的分析调优),这是一个Java软件工件,用于执行基于自然的源代码分析。据我们所知,TUNA是第一个基于自然性执行源代码分析的开源端到端工具链。
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