Diseño de itinerarios de aprendizaje sobre Moodle para asignaturas de redes de computadores basados en virtualización mediante software libre

El diseño de recursos educacionales y materiales didácticos vía on-line permite mejorar el aprendizaje autónomo y a distancia (o no presencial). El proceso de convergencia Europea del Espacio de Educación Superior determina que el empleo de este tipo de recursos dota al estudiante de más flexibilidad, aunque la metodología de educación dominante sea la tradicional (es decir, las clases presenciales). Los recursos educacionales on-line juegan un rol importante en este contexto. En trabajos previos se ha experimentado diseñando cursos con ayuda de un LCMS (Learning Content Management System) como el Moodle corporativo de la UA, incorporando documentos SCORM para diseñar lecciones de autoevaluación, con laboratorios virtuales y otras herramientas de simulación de diseño propio (KIVANS, applets KIVANS+EJS). En esta nueva red se pretende generar nuevos recursos didácticos basados en software libre. Ninguno de los laboratorios virtuales desarrollados hasta ahora permiten a los alumnos poner en práctica los desarrollos de las clases presenciales a distancia. Para ello, usando el software de libre distribución GNS3, y teniendo como base la configuración de la red del laboratorio L24 de la EPS, se pretende construir un entorno virtual que simule las posibilidades reales de este laboratorio.

Advances in camera trap data management tools: Towards collaborative development and integration with GIS

Camera traps have become a widely used technique for conducting biological inventories, generating a large number of database records of great interest. The main aim of this paper is to describe a new free and open source software (FOSS), developed to facilitate the management of camera-trapped data which originated from a protected Mediterranean area (SE Spain). In the last decade, some other useful alternatives have been proposed, but ours focuses especially on a collaborative undertaking and on the importance of spatial information underpinning common camera trap studies. This FOSS application, namely, “Camera Trap Manager” (CTM), has been designed to expedite the processing of pictures on the .NET platform. CTM has a very intuitive user interface, automatic extraction of some image metadata (date, time, moon phase, location, temperature, atmospheric pressure, among others), analytical (Geographical Information Systems, statistics, charts, among others), and reporting capabilities (ESRI Shapefiles, Microsoft Excel Spreadsheets, PDF reports, among others). Using this application, we have achieved a very simple management, fast analysis, and a significant reduction of costs. While we were able to classify an average of 55 pictures per hour manually, CTM has made it possible to process over 1000 photographs per hour, consequently retrieving a greater amount of data.

Empowering global software development with business intelligence

Context: Global Software Development (GSD) allows companies to take advantage of talent spread across the world. Most research has been focused on the development aspect. However, little if any attention has been paid to the management of GSD projects. Studies report a lack of adequate support for management’s decisions made during software development, further accentuated in GSD since information is scattered throughout multiple factories, stored in different formats and standards. Objective: This paper aims to improve GSD management by proposing a systematic method for adapting Business Intelligence techniques to software development environments. This would enhance the visibility of the development process and enable software managers to make informed decisions regarding how to proceed with GSD projects. Method: A combination of formal goal-modeling frameworks and data modeling techniques is used to elicitate the most relevant aspects to be measured by managers in GSD. The process is described in detail and applied to a real case study throughout the paper. A discussion regarding the generalisability of the method is presented afterwards. Results: The application of the approach generates an adapted BI framework tailored to software development according to the requirements posed by GSD managers. The resulting framework is capable of presenting previously inaccessible data through common and specific views and enabling data navigation according to the organization of software factories and projects in GSD. Conclusions: We can conclude that the proposed systematic approach allows us to successfully adapt Business Intelligence techniques to enhance GSD management beyond the information provided by traditional tools. The resulting framework is able to integrate and present the information in a single place, thereby enabling easy comparisons across multiple projects and factories and providing support for informed decisions in GSD management.