文章基本信息

标题：A Robustness Analysis of Imputation Method for Software Development Project Data: Missing Value Treatment for Software Quality Prediction
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作者：Takayuki Morita. ; Mitsuhiro Kimura
期刊名称：International Journal of Software Engineering and Its Applications
印刷版ISSN：1738-9984
出版年度：2015
卷号：9
期号：2
页码：211-218
DOI：10.14257/ijseia.2015.9.2.18
出版社：SERSC
摘要：As our goal, we are interested in estimating the degree of software reliability based on software development project data. It is widely-known that several software development attributes which are measured can be used to evaluate and predict software reliability/quality via multi-variable analyses. In this article, we focus on the data treatment method which is needed prior to the software reliability assessment, since the software development data sets often include missing data. This paper discusses the method of data preparation against missing data and their effectiveness by using the Random Forest as a multi-variable analysis.
关键词：Software Quality; Software Project Data; Missing Value Imputation; EMB ; Algorithm; Random Forest