El software libre al servicio de la economía productiva : Caso real de implantación de un ERP en una micro PYME

Este trabajo de fin de grado intenta, mediante el caso real de la implantación de un ERP en una micro PYME, ajustar a la realidad socioeconómica de la gran mayoría de empresas españolas las técnicas de implantación de software y de gestión de proyectos, usando como elemento conductor un ERP de software libre, para conseguir el triple objetivo de mantener los ratios de calidad deseados en cualquier proyecto de ingeniería de software, con unos costes asumibles por una micro PYME y satisfaciendo las necesidades de negocio.

Métricas de productividad del software para la gestión de proyectos

En la preparación de todo proyecto existe una estimación de costes de los diferentes puntos a realizar. Las métricas del software pueden ser de: productividad, calidad, técnicas, orientadas al tamaño, orientadas a la función u orientadas a la persona. Este documento tratará sobre las métricas del software, que se centran en el rendimiento del proceso de la ingeniería del software.

MONALISA 2.0 and the sea traffic management - a concept creating the need for new maritime information standards and software solutions

Postprint (published version)

AMPc - Sinalização intracelular: um software educacional

Chemicals binding to membrane receptors may induce events within the cell changing its behavior. Since these events are simultaneous and hard to be understood by students, we developed a computational model to dynamically and visually explore the cAMP signaling system to facilitate its understanding. The animation is shown in parts, from the hormone-receptor binding to the cellular response. There are some questions to be answered after using the model. The software was field-tested and an evaluation questionnaire (concerning usability, animations, models, and the software as an educational tool) was answered by the students, showing the software to be a valuable aid for content comprehension.

Swarm Intelligent Selection and Optimization of Machining System Parameters for Microchannel Fabrication in Medical Devices

Current technology trends in medical device industry calls for fabrication of massive arrays of microfeatures such as microchannels on to nonsilicon material substrates with high accuracy, superior precision, and high throughput. Microchannels are typical features used in medical devices for medication dosing into the human body, analyzing DNA arrays or cell cultures. In this study, the capabilities of machining systems for micro-end milling have been evaluated by conducting experiments, regression modeling, and response surface methodology. In machining experiments by using micromilling, arrays of microchannels are fabricated on aluminium and titanium plates, and the feature size and accuracy (width and depth) and surface roughness are measured. Multicriteria decision making for material and process parameters selection for desired accuracy is investigated by using particle swarm optimization (PSO) method, which is an evolutionary computation method inspired by genetic algorithms (GA). Appropriate regression models are utilized within the PSO and optimum selection of micromilling parameters; microchannel feature accuracy and surface roughness are performed. An analysis for optimal micromachining parameters in decision variable space is also conducted. This study demonstrates the advantages of evolutionary computing algorithms in micromilling decision making and process optimization investigations and can be expanded to other applications