Este artículo reporta el trabajo de investigación realizado en base a datos extraídos de la Encuesta Anual realizada por la CESSI durante el año 2007 entre organizaciones dedicadas al desarrollo de Software en Argentina. Si bien la temática de mejora…

During recent years, new software engineering paradigms like component-based software engineering and COTS-based development have emerged. Both paradigms are concerned with reuse and customisation of existing components. The use of COTS software has become more and more important in state-of-the-art…

The development of languages allowing a proper handling of time is important in many areas of computer science because the capability to deal with the notions of change and time are essential to solve their problems.
In the development of…

Requirements capture user needs about a system [KG99]. They stand for those functional and nonfunctional attributes the system must posses to be considered correct. Requirements also dictate how the system should respond to user interaction. Therefore, they play a very…

Software engineering has entered a new era, the Internet and its associated technologies require a different conceptual framework for building and understanding software solutions.
Users ask to develop applications more rapidly, and software engineers need to ensamble systems from preexisting…

In today’s world, in both the public or private organizations, there exists the problem that the organizations have to create value, are changing, but the tools to measure them are not. On the other hand, in the current economy, the…

Numerical Taxonomy aims to group in clusters, using so-called structure analysis of operational taxonomic units (OTUs or taxons or taxa) through numerical methods.
These clusters constitute families. Structural analysis, based on their phenotypic characteristics, exhibits the relationships, in terms of…

The k nearest neighbor (k-NN) classifier has been extensively used in Pattern Recognition because of its simplicity and its good performance. However, in large datasets applications, the exhaustive k-NN classifier becomes impractical. Therefore, many fast k-NN classifiers have been developed;…

Power systems monitoring is particularly challenging due to the presence of dynamic load changes in normal operation mode of network nodes, as well as the presence of both continuous and discrete variables, noisy information and lack or excess of data.…

The analogic pantograpIt is att apparatus wItic/t allows tIte con tinuous recording of any organism’s displacement witItin an experimental environment. Several interesting analyses can be rnade on tIte obtained record wIticIt allow to get more precise and comple¬te infor,nation about…