Title :
Software Evolution Prediction Using Fuzzy Analysis
Author :
Saini, Munish ; Kaur, Kuljit
Author_Institution :
Dept. of Comput. Sci. & Eng., Guru Nanak Dev Univ., Amritsar, India
Abstract :
Software evolution prediction has been one of the objectives in the past studies on open source software. A perusal of the existing research in this area shows ARIMA modeling as the most frequently used prediction procedure. This paper analyses the ability of a method of prediction based on fuzzy time series to predict the next state of data. The data set is related to commit history of three open source software projects as recorded in the revision control tool Git. The prediction method outperforms the ARIMA (0,1,0) -- the simplest benchmark model.
Keywords :
autoregressive moving average processes; fuzzy set theory; public domain software; software maintenance; software tools; time series; ARIMA modeling; Git; fuzzy analysis; fuzzy time series; open source software; revision control tool; software evolution prediction; Accuracy; Computational modeling; Forecasting; Open source software; Predictive models; Time series analysis; Commit Activity; Fuzzy Data mining; Fuzzy Set Theory; Open Source Software (OSS); Software Evolution;
Conference_Titel :
Emerging Applications of Information Technology (EAIT), 2014 Fourth International Conference of
DOI :
10.1109/EAIT.2014.66
