Abstract
Search engines typically estimate relevance using features of the documents. We believe that several features from the user and task can also contribute to this process. In the health domain there are specific characteristics of web documents that can also add value to this estimation. In the present work, using a dataset composed by set of annotated web pages and their assessment by a set of users regarding their relevance and comprehension, we analyse what characteristics affect documents' relevance and what characteristics influence how well users comprehend them. We have conducted a bivariate analysis using characteristics of the above data collection. The strongest relations we have found are linked to the task features, suggesting a direct association between tasks' clarity and easiness and both the relevance and the comprehension of the content. The language of the document, its medical certification, the update status, the content in pathology definitions, the content in prevention, prognosis and treatment information, are other characteristics valued by consumers in terms of relevance. Users' previous experience on health searches and, particularly, on the topic being searched, their gender, the language and terminology of their queries were shown to be related to their success in the search tasks. We have also found that lay terminology, knowledge about the medico-scientific terms and the language of the documents are good indicators of comprehension. Documents containing links and testimonies, and the ones recently updated were observed to be better understood by users, as well as blog posts and comments. (C) 2015 The Authors. Published by Elsevier B.V.

Abstract
The Biblioteca Digital de Arte (BDArt) Digital Library hosted by the Thematic Repository at the University of Porto (Repositório Tem ático da U.Porto) aggregates documents from the library and the archive collections belonging to the Fine Arts School of the University of Porto (Faculdade de Belas Artes da U.Porto). This school has a museum collection containing a significant set of world-class ob- jects managed with distinct processes and tools from those currently used in libraries and archives elsewhere. Interoperability between the collections of the archive, the library, and the museum is necessary because many works allocated to different collections are closely related and can only be seen as a whole by cross-collection search functionalities. The goal of this work, the first of its kind to be developed at the University of Porto (U. Porto), is to integrate the museum collection with archives and library collections in the repository and to use an open-source technology (DSpace). Our experiment involved the selection of appropriate representations of the objects and the definition of a metadata crosswalk between the original metadata standards and qualified Dublin Core. As a result, we created the BDA Museum Collection as a BDArt subcom- munity using an XML export procedure that we expect to be helpful in future developments of other museum collections in the Thematic Repository at U.Porto. © Isabel Barroso, Nadia Hartmann, and Cristina Ribeiro.

Abstract

Abstract
The growing dependence of our society on increasingly complex software systems, makes software testing ever more important and challenging. In many domains, such as healthcare and transportation, several independent systems, forming a heterogeneous and distributed system of systems, are involved in the provisioning of endto- end services to users. However, existing testing techniques, namely in the model-based testing field, provide little tool support for properly testing such systems. Hence, in this paper, we propose an approach and a toolset architecture for automating the testing of end-to-end services in distributed and heterogeneous systems. The tester interacts with a visual modeling frontend to describe key behavioral scenarios, invoke test generation and execution, and visualize test results and coverage information back in the model. The visual modeling notation is converted to a formal notation amenable for runtime interpretation in the backend. A distributed test monitoring and control infrastructure is responsible for interacting with the components of the system under test, as test driver, monitor and stub. At the core of the toolset, a test execution engine coordinates test execution and checks the conformance of the observed execution trace with the expectations derived from the visual model. A real world example from the Ambient Assisted Living domain is presented to illustrate the approach.

Abstract
Application frameworks are a powerful technique for large-scale reuse but often very hard to learn from scratch. Although good documentation helps on reducing the learning curve, it is often found lacking, and costly, as it needs to attend different audiences with disparate learning needs. When code and documentation prove insufficient, developers turn to their network of experts. The lack of awareness about the experts, interrupting the wrong people, and experts unavailability are well known hindrances to effective collaboration. This paper presents the DRIVER platform, a collaborative learning environment for framework users to share their knowledge. It provides the documentation on a wiki, where the learning paths of the community of learners can be captured, shared, rated, and recommended, thus tapping into the collective knowledge of the community of framework users. The tool can be obtained at http://bit.ly/driverTool.

Abstract
Driving simulators require extensive road environments, with roads correctly modeled and similar to those found in real world. The modeling of extensive road environments, with the specific characteristics required by driving simulators, may result in a long time consuming process. This paper presents a procedural method to the modeling of large road environments. The proposed method can produce a road network design to populate an empty terrain and produce all the related road environment models. The terrain model can also be edited to produce well-constructed road environments. The road and terrain models are optimized to interactive visualization in real time, applying all the stet-of-art techniques like the level of detail selection. The proposed method allows modeling large road environments, with the realism and quality required to the realization of experimental work in driving simulators.