关键词: 软件失效模式, 文本挖掘, 聚类分析, 文本相似度, 自动抽取

Abstract:

The use of software failure mode can help developers and testers carry out the work of software failure prevention and discovery, and thus improve the quality of software. The usability of the existing software failure mode makes it difficult to play a greater role in the actual work, and the failure mode of the target software is difficult to manually extract. Therefore, the software failure mode is presented in the form of failure cause and failure effect combination, and the software failure mode automatic generation method for software failure text description is proposed by using text mining method. This method uses the software anomaly classification dictionary to construct the classifier to classify the description of the history software failure text. After the pretreatment of the invalid text, the k-means clustering algorithm is used to carry out the text clustering. And then the text matching method is used to achieve the automatic generation of failure mode. Finally, the textual extraction of the failure cause and the failure effect is carried out and the automatic generation of the failure mode is realized by the text matching method.

Key words: software failure mode, text mining, clustering analysis, text similarity, automatic extraction