使用时间序列分析预测Eclipse中的变化数量

Fourth International Workshop on Mining Software Repositories (MSR'07:ICSE Workshops 2007) Pub Date : 2007-05-20 DOI:10.1109/MSR.2007.10

I. Herraiz, Jesus M. Gonzalez-Barahona, G. Robles

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引用次数: 38

摘要

为了预测Eclipse项目接下来几个月的变化数量，我们应用了一个基于时间序列分析的统计(非解释性)模型。我们已经使用cvsanalysis工具获得了Eclipse CVS存储库中每月的更改数量。我们模型的输入是每月更改数量的过滤序列，输出是未来三个月每月更改的数量。然后，我们将三个月的结果汇总，以获得挑战中给定时间段内的变化总数。

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Forecasting the Number of Changes in Eclipse Using Time Series Analysis

In order to predict the number of changes in the following months for the project Eclipse, we have applied a statistical (non-explanatory) model based on time series analysis. We have obtained the monthly number of changes in the CVS repository of Eclipse, using the CVSAnalY tool. The input to our model was the filtered series of the number of changes per month, and the output was the number of changes per month for the next three months. Then we aggregated the results of the three months to obtain the total number of changes in the given period in the challenge.

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Fourth International Workshop on Mining Software Repositories (MSR'07:ICSE Workshops 2007)

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