The Information Technology Sector is probably the most booming sector in the world at present. This revolution in the market is attributable to a great extent to the increasing use of computer driven softwares and other innovations in the field of intellectual property. This massive progression...

This paper examines the factors that influence the attitude and purchase decisions of pirated software in Saudi Arabia. Based on a review of literature, a model is developed that examines the personal, social, attitudinal and other factors that influence an intention to purchase pirated...

This paper presents a method for optimizing the software testing efficiency by using the genetic algorithm classifier. Here the datasets of certain attributes are taken as the inputs and the output i.e. persons-month(PM) is obtained. We have divided into 5 classes each as the particular range of...

Almost all available statistical packages are capable of performing Analysis of Variance (ANOVA) from raw data. Some of statistical packages have capability to perform independent sample t-test, and some other tests of significance on summary data, but seldom would you come across a software...

In this paper we present and analyze a model for clustering in networks that offer Software as a Service (SaaS). In this problem, organizations requesting a set of applications have to be assigned to clusters such that the costs of opening clusters and installing the necessary applications in...

This document provides the technical description of a software to be developed in the context of the EUROCLIMA project. EUROCLIMA is a cooperation program between the European Union and Latin America with a special focus in knowledge sharing on topics related to socio-environmental problems...

ARIPAR is a quantitative area risk assessment tool used to evaluate the risk resulting from major accidents in industrial areas where hazardous substances are stored, processed and transported. It is based on a geographical information system platform (GIS). This tool has already been applied to...

ARIPAR is a quantitative area risk assessment tool used to evaluate the risk resulting from major accidents in industrial areas where hazardous substances are stored, processed and transported. It is based on a geographical information system platform (GIS). This tool has already been applied to...

In this report we document in detail the Identification package developed for the DYNARE environment. The package implements methodologies and collects developed algorithms to assess identification of DSGE models in the entire prior space of model deep parameters, by combining 'classical' local...