http://dspace.infodocu.lbd.org.es/xmlui/handle/123456789/403 Revistas JCR 2026-05-22T19:48:34Z http://dspace.infodocu.lbd.org.es/xmlui/handle/123456789/415 Applying Feature-Oriented Software Development in SaaS Systems: Real Experience, Measurements, and Findings Pedreira, Óscar; Silva-Coira, Fernando; S. Places, Ángeles; R. Luaces, Miguel; González Folgueira, Leticia Distributing software as a service (SaaS) has become a major trend for web-based systems. However, this software distribution model poses many challenges. One of them is feature variability, that is, some features of the system may be required by some users, but not by all of them. In addition, variability is more complex than just including or excluding a feature, since different types of relationships may exist between features. The implemen- tation of this variability, and the parametrization and configuration of the system can be complex in this context, so the development process of a SaaS system must adequately address variability management. In this paper we present an experience applying feature oriented software development (FOSD) in the context of SaaS web-based systems development. We present a real experience in the development of a web-based system for managing home care services for dependent people. The article describes the problem of variability management in this domain, and the feature model of the system. Finally, we present an empirical evaluation of the feature model of the system based on data obtained from its real deployment after two years of use. The empirical evaluation was based on state-of-the-art measures for variability management, and revealed relevant insights for software development in this context. 2019-01-01T00:00:00Z http://dspace.infodocu.lbd.org.es/xmlui/handle/123456789/414 Developing Web-based Geographic Information Systems with a DSL: Proposal and Case Study H. Alvarado, Suilén; Cortiñas, Alejandro; R. Luaces, Miguel; Pedreira, Óscar; S. Places, Ángeles In this paper, we present a declarative domain-specific language (DSL) for the development of Geographic Information Systems (GIS). GIS applica- tions manage information with a spatial component, usually in the form of points, lines, polygons, or variants of these basic data types, in domains where the spatial information plays a central role. They provide the user with dif- ferent functionalities on different application domains, but they are usually developed according to a common architecture and using a common set of technologies. Hence, they share a significant number of elements that make some aspects of their development quite repetitive. Our DSL allows devel- opers to specify the entities, geographic layers, and maps of the applications using a declarative language. Then, the specification is transformed into a working GIS application. We present the language, its implementation, and a case study on two sample projects that allowed us to evaluate the resulting software, paying special attention to the savings in the development effort. 2020-01-01T00:00:00Z http://dspace.infodocu.lbd.org.es/xmlui/handle/123456789/413 A Public Domain Dataset For Real-Life Human Activity Recognition Using Smartphone Sensors García-Gonzalez, Daniel; Rivero, Daniel; Fernández-Blanco, Enrique; R. Luaces, Miguel In recent years, human activity recognition has become a hot topic inside the scientific community. The reason to be under the spotlight is its direct application in multiple domains, like healthcare or fitness. Additionally, the current worldwide use of smartphones makes it particularly easy to get this kind of data from people in a non-intrusive and cheaper way, without the need for other wearables. In this paper, we introduce our orientation-independent, placement-independent and subject-independent human activity recognition dataset. The information in this dataset is the measurements from the accelerom- eter, gyroscope, magnetometer, and GPS of the smartphone. Additionally, each measure is associated with one of the four possible registered activities: inactive, active, walking and driving. This work also proposes a support vector machine (SVM) model to perform some preliminary experiments on the dataset. Considering that this dataset was taken from smartphones in their actual use, unlike other datasets, the development of a good model on such data is an open problem and a challenge for researchers. By doing so, we would be able to close the gap between the model and a real-life application. 2020-01-01T00:00:00Z http://dspace.infodocu.lbd.org.es/xmlui/handle/123456789/412 Multilevel modeling of Geographic Information Systems based on International Standards H. Alvarado, Suilén; Cortiñas, Alejandro; R. Luaces, Miguel; Pedreira, Óscar; S. Places, Ángeles Even though different applications based on Geographic Information Systems (GIS) provide different features and functions, they all share a set of common concepts (e.g., spatial data types, operations, ser- vices), a common architecture, and a common set of technologies. Furthermore, common structures appear repeatedly in different GIS, although they have to be specialized in specific application domains. Multilevel modeling is an approach to model-driven engineering (MDE) in which the number of metamodel levels is not fixed. This approach aims at solving the limitations of a two-level metamodeling approach, which forces the designer to include all the metamodel elements at the same level. In this paper, we address the application of multilevel modeling to the domain of GIS, and we evaluate its potential benefits. Although we do not present a complete set of models, we present four representative scenarios supported by example models. One of them is based on the standards defined by ISO TC/211 and the Open Geospatial Consortium. The other three are based on the EU INSPIRE Directive (territory administration, spatial networks, and facility management). These scenarios show that multilevel modeling can provide more benefits to GIS modeling than a two-level metamodeling approach. 2021-01-01T00:00:00Z