DocumentCode
2797267
Title
Forecasting the Number of Changes in Eclipse Using Time Series Analysis
Author
Herraiz, Israel ; Gonzalez-Barahona, Jesus M. ; Robles, Gregorio
Author_Institution
Grupo de Sistemas y Comunicaciones, Univ. Rey Juan Carlos, Madrid
fYear
2007
fDate
20-26 May 2007
Firstpage
32
Lastpage
32
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.
Keywords
forecasting theory; statistical analysis; time series; Eclipse project; statistical model; time series analysis; History; Open source software; Predictive models; Programming; Proposals; Sampling methods; Software maintenance; Statistical analysis; Stock markets; Time series analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Mining Software Repositories, 2007. ICSE Workshops MSR '07. Fourth International Workshop on
Conference_Location
Minneapolis, MN
Print_ISBN
0-7695-2950-X
Type
conf
DOI
10.1109/MSR.2007.10
Filename
4228669
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