Ad Astra Awards
Ad Astra Journal
Science library
White book
University rankings
Who's who
Publications
Theses and dissertations
Ad Astra association
 
Press releases
News
Events
Funding opportunities
 
Login
Registration
 
>> Românã
 
   
 

Fl. Popentiu Vladicescu, B. Burtschy & G. Albeanu. Time series methods for modeling software quality. In E. Zio, M. Demichela, N. Piccinin (eds.), Proceedings of the European Conference On Safety and Reliability, pp. 9 - 15. 2001.

Abstract: 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.

Keywords: time series, software quality

Posted by G. Albeanu

Back

   
© Ad Astra 2001-2013