文章基本信息

标题：Defect Inflow Prediction in Large Software Projects
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作者：Miroslaw Staron ; Wilhelm Meding
期刊名称：e-Informatica Software Engineering Journal
印刷版ISSN：1897-7979
电子版ISSN：2084-4840
出版年度：2010
卷号：4
期号：1
出版社：Wroclaw University of Technology
摘要：Performance of software projects can be improved by providing predictions of various project characteristics. The predictions warn managers with information about potential problems and provide them with the possibility to prevent or avoid problems. Large software projects are characterized by a large number of factors that impact the project performance, which makes predicting project characteristics difficult. This paper presents methods for constructing prediction models of trends in defect inflow in large software projects based on a small number of variables. We refer to these models as short-term prediction models and long-term prediction models. The short-term prediction models are used to predict the number of defects discovered in the code up to three weeks in advance, while the long-term prediction models provide the possibility of predicting the defect inflow for the whole project. The initial evaluation of these methods in a large software project at Ericsson shows that the models are sufficiently accurate and easy to deploy.