Forecasting the Number of Changes in Eclipse Using Time Series Analysis

TitleForecasting the Number of Changes in Eclipse Using Time Series Analysis
Publication TypeConference Paper
Year of Publication2007
AuthorsHerraiz, I, Gonzalez-Barahona, JM, Robles, G
Secondary TitleFourth International Workshop on Mining Software Repositories (MSR'07:ICSE Workshops 2007)
Pagination32 - 32
PublisherIEEE
Place PublishedMinneapolis, MN, USA
ISBN Number0-7695-2950-X
Keywordschange management, cvs, cvsanaly, eclipse, prediction
Abstract

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.

DOI10.1109/MSR.2007.10
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