Ingeniería del SoftwarePublicacions relacionadas con Ingeniería del Softwarehttp://dspace.infodocu.lbd.org.es/xmlui/handle/123456789/13732026-05-22T19:05:16Z2026-05-22T19:05:16ZMultilevel modeling of Geographic Information Systems based on International StandardsH. Alvarado, SuilénCortiñas, AlejandroR. Luaces, MiguelPedreira, OscarS. Places, Ángeleshttp://dspace.infodocu.lbd.org.es/xmlui/handle/123456789/14252025-10-28T02:01:14Z2021-01-01T00:00:00ZMultilevel modeling of Geographic Information Systems based on International Standards
H. Alvarado, Suilén; Cortiñas, Alejandro; R. Luaces, Miguel; Pedreira, Oscar; S. Places, Ángeles
2021-01-01T00:00:00ZApplying Feature-Oriented Software Development in SaaS Systems: Real Experience, Measurements, and FindingsPedreira, OscarSilva-Coira, FernandoSaavedra Places, ÁngelesR. Luaces, MiguelGónzalez Folgueira, Leticiahttp://dspace.infodocu.lbd.org.es/xmlui/handle/123456789/14212025-10-21T01:00:19Z2019-01-01T00:00:00ZApplying 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
2019-01-01T00:00:00ZNAVIGATIONAL RULE DERIVATION: AN ALGORITHM TO DETERMINE THE EFFECT OF TRAFFIC SIGNS ON ROAD NETWORKSGalaktionov, DaniilR. Luaces, MiguelS. Places, Ángeleshttp://dspace.infodocu.lbd.org.es/xmlui/handle/123456789/14042025-10-20T11:12:18Z2016-01-01T00:00:00ZNAVIGATIONAL 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
2016-01-01T00:00:00ZStoring and Clustering Large Spatial Datasets Using Big Data TechnologiesCortiñas, AlejandroR. Luaces, MiguelVarela-Rodeiro, Tirsohttp://dspace.infodocu.lbd.org.es/xmlui/handle/123456789/13992025-10-20T11:13:21Z2018-01-01T00:00:00ZStoring 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