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

The problem of software architecture according to the software reliability forecasting is considered. The proposed technique is based on a chain of automatic data collection, which allows us the possibility to adjust, during the execution, the strategy of fault management. Four modules are chained: monitoring, statistical, prediction, selection. The statistical module deals both with artificial neural networks (NN) and explanatory variables approaches

A general method, based on simulation and stochastic approximation, for determining an optimum sequence of moments of time, when a system is inspected or controlled in order to be maintained or renewed, is considered. The basic assumption claims that the cumulative distribution function of the lifetime of the system is an increasing failure rate one. The procedure described is based on the computer generation of stochastic systems with complete connection.

Previous investigations have shown the importance of evaluating computer performances and predicting the system reliability. Software engineering techniques are proposed for producing reliable software. This paper cosiders soft computing techniques in order to be used for software fault diagnosis, reliability optimization and for time series prediction during the software reliability analysis. It is shown that the study of the data collections during

Using the algebraic theory of trigonometric polynomials, two methods to obtain cubic trigonometric spline functions of interpolation are presented. Periodic and non-periodic cubic trigonometric spline functions are considered. As an application in approximate integration, two quadrature formulas are also obtained (For details see the preprint on the Web page.)