M
Miguel A. Teruel
Researcher at University of Castilla–La Mancha
Publications - 36
Citations - 391
Miguel A. Teruel is an academic researcher from University of Castilla–La Mancha. The author has contributed to research in topics: Requirements engineering & Collaboration. The author has an hindex of 10, co-authored 34 publications receiving 312 citations. Previous affiliations of Miguel A. Teruel include University of Alicante.
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Journal ArticleDOI
Applying thematic analysis to define an awareness interpretation for collaborative computer games
TL;DR: The Thematic Synthesis Analysis concluded that none of the current awareness interpretations can deal properly with collaborative computer games, specifically due to collaboration and social & group dynamics.
Journal ArticleDOI
Analyzing the understandability of Requirements Engineering languages for CSCW systems: A family of experiments
Miguel A. Teruel,Elena Navarro,Víctor López-Jaquero,Francisco Montero,Javier Jaen,Pascual González +5 more
TL;DR: CSRML surpasses i^* when modeling collaborative systems requirements models due to the specific expressiveness introduced to represent collaboration between users and awareness and the new resorts to manage actors and roles.
Proceedings ArticleDOI
CSRML: a goal-oriented approach to model requirements for collaborative systems
TL;DR: CSRML (Collaborative Systems Requirements Modelling Language) is presented, an extension of i* to deal with the specification of the requirements of these systems in which the collaboration and the awareness of other users presence / actions are crucial.
Journal ArticleDOI
A CSCW Requirements Engineering CASE Tool: Development and usability evaluation
TL;DR: Evaluating the usability of CSRML Tool 2012 identifies any possible usability flaw to be solved in the next releases of the application, as well as giving a general overview on how to develop a DSL tool similar to the one evaluated in this work by means of Visual Studio Modelling SDK.
Journal ArticleDOI
Improving Sustainability of Smart Cities through Visualization Techniques for Big Data from IoT Devices
TL;DR: The results of this work will contribute to the optimization of resources, namely fire extinguishing battalions, helping to improve their effectiveness and, as a result, the sustainability of a Smart City, operating better with less resources.