使用自然语言处理技术的NASA异常自动分类

2013 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW) Pub Date : 2013-12-19 DOI:10.1109/ISSREW.2013.6688849

D. Falessi, L. Layman

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引用次数: 4

摘要

NASA异常数据库是野外软件故障数据的丰富资源。这些数据通常是用自然语言捕获的，不适合趋势分析或统计分析。本文简要介绍了应用60种自然语言处理技术对异常数据进行自动分类以实现趋势分析的可行性研究。

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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Automated classification of NASA anomalies using natural language processing techniques

NASA anomaly databases are rich resources of software failure data in the field. These data are often captured in natural language that is not appropriate for trending or statistical analyses. This fast abstract describes a feasibility study of applying 60 natural language processing techniques for automatically classifying anomaly data to enable trend analyses.

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来源期刊

2013 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)

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