Challenges in Analyzing Software Documentation in Portuguese

2015 29th Brazilian Symposium on Software Engineering Pub Date : 2015-09-01 DOI:10.1109/SBES.2015.27

Christoph Treude, C. Prolo, Fernando Marques Figueira Filho

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引用次数: 8

Abstract

Many tools that automatically analyze, summarize, or transform software artifacts rely on natural language processing tooling for the interpretation of natural language text produced by software developers, such as documentation, code comments, commit messages, or bug reports. Processing natural language text produced by software developers is challenging because of unique characteristics not found in other texts, such as the presence of code terms and the systematic use of incomplete sentences. In addition, texts produced by Portuguese-speaking developers mix languages since many keywords and programming concepts are referred to by their English name. In this paper, we provide empirical insights into the challenges of analyzing software artifacts written in Portuguese. We analyzed 100 question titles from the Portuguese version of Stack Overflow with two Portuguese language tools and identified multiple problems which resulted in very few sentences being tagged completely correctly. Based on these results, we propose heuristics to improve the analysis of natural language text produced by software developers in Portuguese.

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分析葡萄牙语软件文档的挑战

许多自动分析、总结或转换软件工件的工具依赖于自然语言处理工具来解释由软件开发人员生成的自然语言文本，例如文档、代码注释、提交消息或错误报告。处理由软件开发人员生成的自然语言文本是具有挑战性的，因为在其他文本中没有发现独特的特征，例如代码术语的存在和不完整句子的系统使用。此外，由于许多关键字和编程概念都是用英文名称指代的，所以说葡萄牙语的开发人员编写的文本会混合多种语言。在本文中，我们提供了分析用葡萄牙语编写的软件工件的挑战的经验见解。我们使用两个葡萄牙语工具分析了来自Stack Overflow葡萄牙语版本的100个问题标题，并发现了导致很少句子被完全正确标记的多个问题。基于这些结果，我们提出了启发式方法来改进软件开发人员用葡萄牙语生成的自然语言文本的分析。

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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2015 29th Brazilian Symposium on Software Engineering

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