http://dspace.infodocu.lbd.org.es/xmlui/handle/123456789/1373 Publicacions relacionadas con Ingeniería del Software 2026-05-22T19:04:31Z http://dspace.infodocu.lbd.org.es/xmlui/handle/123456789/1425 Multilevel modeling of Geographic Information Systems based on International Standards H. Alvarado, Suilén; Cortiñas, Alejandro; R. Luaces, Miguel; Pedreira, Oscar; S. Places, Ángeles 2021-01-01T00:00:00Z http://dspace.infodocu.lbd.org.es/xmlui/handle/123456789/1421 Applying Feature-Oriented Software Development in SaaS Systems: Real Experience, Measurements, and Findings Pedreira, Oscar; Silva-Coira, Fernando; Saavedra Places, Ángeles; R. Luaces, Miguel; Gónzalez 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 implementation 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 2019-01-01T00:00:00Z http://dspace.infodocu.lbd.org.es/xmlui/handle/123456789/1404 NAVIGATIONAL RULE DERIVATION: AN ALGORITHM TO DETERMINE THE EFFECT OF TRAFFIC SIGNS ON ROAD NETWORKS Galaktionov, Daniil; R. Luaces, Miguel; S. Places, Ángeles In this paper we present an algorithm to build a road network map enriched with traffic rules such as one-way streets and forbidden turns, based on the interpretation of already detected and classified traffic signs. Such algorithm helps to automatize the elaboration of maps for commercial navigation systems. Our solution is based on simulating navigation along the road network, determining at each point of interest the visibility of the signs and their effect on the roads. We test our approach in a small urban network and discuss various ways to generalize it to support more complex environments. Keywords: GIS, Traffic signs, Transport networks, Graph navigation 2016-01-01T00:00:00Z http://dspace.infodocu.lbd.org.es/xmlui/handle/123456789/1399 Storing and Clustering Large Spatial Datasets Using Big Data Technologies Cortiñas, Alejandro; R. Luaces, Miguel; Varela-Rodeiro, Tirso In this paper we present the architecture of a system to store, query and visualize on the web large datasets of geographic information. The architecture includes a component to simulate a large number of drivers that report their position on a regular basis, an ingestion component that is generic and can acommodate three different storage technologies, a query component that aggregates the results in order to reduce the query time and the data transfered, and a web-based map viewer. In addition, we define an evaluation methodology to be used to benchmark and compare different alternatives for some components of the system, and we validate the architecture with experiments using a dataset of 40 million locations of drivers. 2018-01-01T00:00:00Z