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Human face recognition (Computer science). Abstract: Increasingly, the Internet of Things is promoting all types of embedded devices and operating systems for these devices. The aim of this project is to develop library capable of running applications developed for .NET Micro Framework (virtual machine for embedded devices) on devices that can run any version of Linux. The idea is that using this library a developer can execute any application developed for .NET Micro Framework in any desktop computer or embedded device running Linux, for example Raspberry Pi. This thesis presents the approach and the development of IOSharp which is an implementation in C# of the system discussed above. Once this implementation has been done, a test phase has been done with existing applications. In this case, it has been proved that the performance of this library is not optimal compared with the original one. At this point is where started another of the main contributions to the project, participating in the development of a tool called AlterNative which is able to translate applications written in .NET to C++, In this way it has been possible to analyse the improvement of this library after translating it with AlterNative.

Data science is mandatory in today's business to capitalize on achievements and assets. This specifically holds for modern software development, where data science facilitates analyzing product, process, and usage and thus managing evolution and performance. With the convergence of embedded and IT domains, such as the Internet of Things (IoT) and automotive systems, software systems are becoming more complex. Complexity has two faces. On one hand it means more functionality and fluid delivery models, thus offering markets more value, such as the ability to deliver a single-customer focus. Complexity, however, also means the growth of technical debt, which slows productivity and lowers quality. As software engineering generates ever larger and more varied data sets, such as feature usage, code analysis, test coverage, error logs, and maintenance data, companies face the challenge of unlocking the value of that data.

Conceptual Schema-Centric Development (CSCD) has been quali ed as a grand challenge for many researchers in Information Systems (IS). It reformulates the historical goal of automating IS building but emphasizing that the Conceptual Schema (CS) should be the center of the development. CSCD requires explicit, complete, executable and correct CSs. In this context, testing becomes critical in the conceptual modeling activity. Test-Driven Conceptual Modeling (TDCM) is proposed as a new development method to obtain a correct and complete CS. TDCM applies to conceptual modeling the essential ideas of Test-Driven Development(TDD), an emerging test- rst eXtreme Programming (XP) method. Our research proposal pretends to contribute to the IS research community by developing the TDCM method and a tool to put it into practice.

La presente comunicación tiene por objeto presentar los primeros resultados de un trabajo de investigación desarrollado dentro del Programa de Doctorado en Ingeniería Ambiental de la UPC, concretamente en el Módulo de Contaminación Acústica, referente a la contrastación en campo de los resultados de simulación acústica obtenidos mediante el software MITHRA, desarrollado por el Instituto "Centre Scientifique et Technique du Bâtiment" (CSTB) con el soporte de la agencia 01dB de Lyon.

The Software Engineering learning, as one of the main subjects of Computer Engineering degree, requires constant technological innovation. New tools must be added to the subject. But this is not easy with present LMS (Learning Management System). Faced with this situation we will try to open the platform used in the subject to personalized learning environments, using a service-oriented architecture and widget engine to define learning portable components.