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The development of software products consumes a lot of time and resources. On the other hand, these development costs are lower than maintenance costs, which represent a major concern, specially, for systems designed with recent technologies. Systems modification should be taken rigorously, and change effects must be considered. In this paper, we propose an(More)
Nous proposons dans cet article une approche probabiliste utilisant les réseaux bayésiens pour analyser et prédire les impacts des changements dans les systèmes à objets. Un modèle d'impact a été construit et des probabilités ont été affectées aux différents sommets du réseau. Des données récoltées sur un système réel sont utilisées pour étudier(More)
Several non probabilistic approaches were proposed in the literature to analyze and predict change impact in Object-Oriented (OO) systems. Different aspects were considered in these studies and several experiments were conducted to check some hypotheses. However, causality relation between software internal attributes and change impact still misses(More)
This study has to be considered as another step towards the proposal of assessment/predictive models in software quality. We consider in this work, that a probabilistic model using Bayesian nets constitutes an interesting alternative to non-probabilistic models suggested in the literature. Thus, we propose in this paper a probabilistic approach using(More)
The development of Information Systems (I.S) is of great importance for researchers and industrial users. Different methods for (I.S) design have been proposed until now. Some of them put emphasis on the statical aspect, and others on the dynamical aspect. A third category of methods has recently appeared, which try to take into account both aspects, and(More)
In this paper, a new control scheme with two degrees of freedom using a model reference structure is presented, which has stability, robust performance and model reference behavior at the same time. Also, it is implemented by using the NIOS-II processors in FPGA. The controller with two degrees of freedom is composed of a usual PID controller and a neural(More)