The Aspect-oriented URN (AoURN) [11] effort extends the User Requirements Notation (URN) [2, 14] with aspects. To date and to the best of our knowledge, no standardized framework unifying goal-oriented, scenario-based, and aspectoriented concepts exists. The goal of this research is to do this with minimal changes to URN in order to ensure that requirements engineers can continue working with f...

In this paper we propose a class of sequential urn designs based on generalized Pólya urn (GPU) models for balancing the allocations of two treatments in sequential clinical trials. In particular, we consider a GPU model characterized by a 2× 2 random addition matrix with null balance (i.e. null row sums) and replacement rule depending upon the urn composition. Under this scheme, the urn proces...

We consider a BitTorrent type file sharing algorithm with randomized chunk copying process. The system functions in completely distributed way without any ’Tracker’, just relying on randomness. In such case the stability becomes an issue. It may happen, say, that some chunk becomes rare. This problem can persist and cause accumulation of peers in the system, resulting in unstable system. The co...

Semi-formal software techniques have been very successful in industry, government institutions and other areas such as academia. Arguably, they owe a large part of their success to graphical notation, which is more human-oriented than counterpart text-based formal notation techniques. However, ensuring the consistency between two or models one known challenges these This work looks closely at s...

Abstract Bipolarization is a phenomenon in which either large or very small information cascade appears randomly when the retweet rate high. This phenomenon, has been observed only simulations, potential to significantly advance prediction of final sizes because forecasters need focus on two peaks size distribution rather than considering effects various details, such as network structure and u...

This paper presents the link between stochastic approximation and clinical trials based on randomized urn models investigated in [5, 6, 7]. We reformulate the dynamics of both the urn composition and the assigned treatments as standard stochastic approximation (SA) algorithms with remainder. Then, we derive the a.s. convergence and the asymptotic normality (Central Limit Theorem CLT ) of the no...

Motivated by recent studies of big samples, this work aims at constructing a parametric model which is characterized the following features: (i) "local" reinforcement, i.e. reinforcement mechanism mainly based on last observations, (ii) random persistent fluctuation predictive mean, and (iii) long-term convergence empirical mean to deterministic limit, together with chi-squared goodness fit res...