Persona: Heradio Gil, Rubén
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Heradio Gil
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Rubén
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Publicación Physics Experiments at the UNEDLabs Portal(International Federation of Engineering Education Societies (IFEES), 2012-01-22) Dormido Canto, Sebastián; Sánchez, José; Torre Cubillo, Luis de la; Heradio Gil, Rubén; Carreras, Carmen; Sánchez Fernández, Juan Pedro; Yuste, ManuelUNEDLabs is a web portal based on a free, modern, open source, and well-known learning management system: Moodle. This portal joins two theme networks of virtual and remote laboratories (one for Control Engineering and another one for Physics, named AutomatL@bs and FisL@bs, respectively) together. AutomatL@bs has been operative for five years now. Following AutomatL@bsâ?? scheme, FisL@bs was created as a network of remote and virtual laboratories for physics university education via the Internet to offer students the possibility of performing hands-on experiences in different fields of physics in two ways: simulation and real remote operation. Now, both FisL@bs and AutomatL@bs join together (while maintaining their independency) into an unique new web portal called UNEDLabs. This work focuses on this new web environment and gives a detailed account of a novel way in Physics to let distance learning students gain practical experience autonomously. This paper explains how the new portal works and the software tools used for creating it. In addition, it also describes the physics experiments which are already operative.Publicación Standardizing course assessment in competency-based higher education: an experience report(Frontiers Media, 2018-06-18) Vargas, Hector; Arredondo, Emanuel; Heradio Gil, Rubén; Torre Cubillo, Luis de laWe examine the implementation of Competency-Based Education (CBE) at the Pontifical Catholic University of Valpara´ıso (PUCV) in Chile, focusing on the challenges associated with assessment methods in measuring students’ competencies accurately. To address these issues, we first introduce the Competency Assessment and Monitoring (C-A&M) model, which aims to standardize and improve course evaluation. Then, two complementary studies are reported: a within-groups design involving 20 Engineering courses and a between-groups design assessing the perceptions of 109 instructors across various faculties, including Law, Philosophy, and Education. Findings indicate that CBE is not yet fully realized at PUCV, with considerable room for improvement in evaluation strategies, alignment of learning objectives with competencies, and synchronization of training activities. However, the implementation of the C-A&M model led to significant enhancements in these areas, providing evidence of its effectiveness in advancing CBE practices.Publicación Supporting the Statistical Analysis of Variability Models(Institute of Electrical and Electronics Engineers (IEEE), 2019-08-26) Mayr Dorn, Christoph; Egyed, Alexander; Heradio Gil, Rubén; Fernández Amoros, David JoséVariability models are broadly used to specify the configurable features of highly customizable software. In practice, they can be large, defining thousands of features with their dependencies and conflicts. In such cases, visualization techniques and automated analysis support are crucial for understanding the models. This paper contributes to this line of research by presenting a novel, probabilistic foundation for statistical reasoning about variability models. Our approach not only provides a new way to visualize, describe and interpret variability models, but it also supports the improvement of additional state-of-the-art methods for software product lines; for instance, providing exact computations where only approximations were available before, and increasing the sensitivity of existing analysis operations for variability models. We demonstrate the benefits of our approach using real case studies with up to 17,365 features, and written in two different languages (KConfig and feature models).Publicación Exemplar driven development of software product lines(Elsevier, 2012-12-01) Heradio Gil, Rubén; Fernández Amoros, David José; Torre Cubillo, Luis de la; Abad Cardiel, IsmaelThe benefits of following a product line approach to develop similar software systems are well documented. Nevertheless, some case studies have revealed significant barriers to adopt such approach. In order to minimize the paradigm shift between conventional software engineering and software product line engineering, this paper presents a new development process where the products of a domain are made by analogy to an existing product. Furthermore, this paper discusses the capabilities and limitations of different techniques to implement the analogy relation and proposes a new language to overcome such limitations.Publicación Virtual and remote labs in education: A bibliometric analysis(Elsevier, 2016-07) Heradio Gil, Rubén; Torre Cubillo, Luis de la; Galán, Daniel; Cabrerizo, Francisco JavierLaboratory experimentation plays an essential role in engineering and scientific education. Virtual and remote labs reduce the costs associated with conventional hands-on labs due to their required equipment, space, and maintenance staff. Furthermore, they provide additional benefits such as supporting distance learning, improving lab accessibility to handicapped people, and increasing safety for dangerous experimentation. This paper analyzes the literature on virtual and remote labs from its beginnings to 2015, identifying the most influential publications, the most researched topics, and how the interest in those topics has evolved along the way. To do so, bibliographical data gathered from ISI Web of Science, Scopus and GRC2014 have been examined using two prominent bibliometric approaches: science mapping and performance analysis.Publicación Finding Near-optimal Configurations in Colossal Spaces with Statistical Guarantees(Association for Computing Machinery (ACM), 2023-11-23) Oh, Jeho; Batory, Don; Heradio Gil, RubénA Software Product Line (SPL) is a family of similar programs. Each program is defined by a unique set of features, called a configuration, that satisfies all feature constraints. “What configuration achieves the best performance for a given workload?” is the SPLOptimization (SPLO) challenge. SPLO is daunting: just 80 unconstrained features yield 1024 unique configurations, which equals the estimated number of stars in the universe. We explain (a) how uniform random sampling and random search algorithms solve SPLO more efficiently and accurately than current machine-learned performance models and (b) how to compute statistical guarantees on the quality of a returned configuration; i.e., it is within x% of optimal with y% confidence.Publicación A bibliometric analysis of 10 years of research on symptom networks in psychopathology and mental health(Elsevier, 2022-02) Ausín, Berta; Castellanos, Miguel Ángel; González Sanguino, Clara; Heradio Gil, RubénPsychopathology networks consist of aspects (e.g., symptoms) of mental disorders (nodes) and the connections between those aspects (edges). This article aims to analyze the research literature on network analysis in psychopathology and mental health for the last ten years. Statistical descriptive analysis was complemented with two bibliometric techniques: performance analysis and co-word analysis. There is an increase in publications that has passed from 1 article published in 2010 to 172 papers published in 2020. The 398 articles in the sample have 1,910 authors in total, being most of them occasional contributors. The Journal of Affective Disorders is the one with the highest number of publications on network analysis in psychopathology and mental health, followed by the Journal of Abnormal Psychology and Psychological Medicine stand out. The present study shows that this perspective in psychopathology and mental health is a recent field of study, but with solid advances in recent years from a wide variety of researchers, mainly from USA and Europe, who have extensively studied symptom networks in depression, anxiety, and post-traumatic stress disorders. However, gaps are identified in other psychological behaviors such as suicide, populations such as the elderly, and gender studies.Publicación Providing collaborative support to virtual and remote laboratories(IEEE (Institute of Electrical and Electronics Engineers), 2013-06-04) Torre Cubillo, Luis de la; Heradio Gil, Rubén; Jara, Carlos A.; Sanchez, Jose; Dormido Canto, Sebastián; Torres, Fernando; Candelas, Francisco A.Virtual and remote laboratories (VRLs) are e-learning resources that enhance the accessibility of experimental setups providing a distance teaching framework which meets the student's hands-on learning needs. In addition, online collaborative communication represents a practical and a constructivist method to transmit the knowledge and experience from the teacher to students, overcoming physical distance and isolation. This paper describes the extension of two open source tools: (1) the learning management system Moodle, and (2) the tool to create VRLs Easy Java Simulations (EJS). Our extension provides: (1) synchronous collaborative support to any VRL developed with EJS (i.e., any existing VRL written in EJS can be automatically converted into a collaborative lab with no cost), and (2) support to deploy synchronous collaborative VRLs into Moodle. Using our approach students and/or teachers can invite other users enrolled in a Moodle course to a real-time collaborative experimental session, sharing and/or supervising experiences at the same time they practice and explore experiments using VRLs.Publicación A scalable approach to exact model and commonality counting for extended feature models.(Institute of Electrical and Electronics Engineers (IEEE), 2014-05-29) Fernández Amoros, David José; Heradio Gil, Rubén; Cerrada Somolinos, José Antonio; Cerrada Somolinos, CarlosA software product line is an engineering approach to efficient development of software product portfolios. Key to the success of the approach is to identify the common and variable features of the products and the interdependencies between them, which are usually modeled using feature models. Implicitly, such models also include valuable information that can be used by economic models to estimate the payoffs of a product line. Unfortunately, as product lines grow, analyzing large feature models manually becomes impracticable. This paper proposes an algorithm to compute the total number of products that a feature model represents and, for each feature, the number of products that implement it. The inference of both parameters is helpful to describe the standarization/parameterization balance of a product line, detect scope flaws, assess the product line incremental development, and improve the accuracy of economic models. The paper reports experimental evidence that our algorithm has better runtime performance than existing alternative approaches.Publicación A Monte Carlo tree search conceptual framework for feature model analyses(Elsevier, 2023-01) Horcas Aguilera, Jose Miguel ; Galindo, José A.; Benavides, David; Heradio Gil, Rubén; Fernández Amoros, David JoséChallenging domains of the future such as Smart Cities, Cloud Computing, or Industry 4.0 expose highly variable systems with colossal configuration spaces. The automated analysis of those systems’ variability has often relied on SAT solving and constraint programming. However, many of the analyses have to deal with the uncertainty introduced by the fact that undertaking an exhaustive exploration of the whole configuration space is usually intractable. In addition, not all analyses need to deal with the configuration space of the feature models, but with different search spaces where analyses are performed over the structure of the feature models, the constraints, or the implementation artifacts, instead of configurations. This paper proposes a conceptual framework that tackles various of those analyses using Monte Carlo tree search methods, which have proven to succeed in vast search spaces (e.g., game theory, scheduling tasks, security, program synthesis, etc.). Our general framework is formally described, and its flexibility to cope with a diversity of analysis problems is discussed. We provide a Python implementation of the framework that shows the feasibility of our proposal, identifying up to 11 lessons learned, and open challenges about the usage of the Monte Carlo methods in the software product line context. With this contribution, we envision that different problems can be addressed using Monte Carlo simulations and that our framework can be used to advance the state-of-the-art one step forward.