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Time series methods for modeling software quality

Domenii publicaţii > Ştiinţe informatice + Tipuri publicaţii > Articol în volumul unei conferinţe

Autori: Fl. Popentiu Vladicescu, B. Burtschy & G. Albeanu

Editorial: E. Zio, M. Demichela, N. Piccinin, Proceedings of the European Conference On Safety and Reliability, p.9 - 15, 2001.

Rezumat:

Time series approach allows one to predict future values based on the history of past values. This paper investigates different approaches in software quality modelling based on time series techniques. The basic autoregresive integrated moving average processes ARIMA(d, p, q) consider only current and past values of input variables. Dependent variables are important enough for software quality modelling. Extended ARIMA models including dependent variables are also considered.

Cuvinte cheie: time series, software quality