Subcomunidade do Grupo01 de XED http://dspace.infodocu.lbd.org.es/xmlui/handle/123456789/1366 2026-05-22T19:05:50Z 2026-05-22T19:05:50Z Gómez-Brandón, Adrián R. Paramá, José Villalobos, Kevin Illarramendi, Arantza R. Brisaboa, Nieves http://dspace.infodocu.lbd.org.es/xmlui/handle/123456789/1428 2025-10-28T02:01:15Z 2021-01-01T00:00:00Z

Lossless compression of industrial time series with direct access Gómez-Brandón, Adrián; R. Paramá, José; Villalobos, Kevin; Illarramendi, Arantza; R. Brisaboa, Nieves

2021-01-01T00:00:00Z H. Alvarado, Suilén Cortiñas, Alejandro R. Luaces, Miguel Pedreira, Oscar S. Places, Ángeles http://dspace.infodocu.lbd.org.es/xmlui/handle/123456789/1425 2025-10-28T02:01:14Z 2021-01-01T00:00:00Z

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 Pedreira, Oscar Silva-Coira, Fernando Saavedra Places, Ángeles R. Luaces, Miguel Gónzalez Folgueira, Leticia http://dspace.infodocu.lbd.org.es/xmlui/handle/123456789/1421 2025-10-21T01:00:19Z 2019-01-01T00:00:00Z

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 FUENTES-SEPÚLVEDA, JOSÉ SUSANA, LADRA http://dspace.infodocu.lbd.org.es/xmlui/handle/123456789/1420 2025-10-21T01:00:18Z 2019-01-01T00:00:00Z

Energy consumption in compact integer vectors: A study case FUENTES-SEPÚLVEDA, JOSÉ; SUSANA, LADRA In the field of algorithms and data structures analysis and design, most of the researchers focus only on the space/time trade-off, and little attention has been paid to energy consumption. Moreover, most of the efforts in the field of Green Computing have been devoted to hardware-related issues, being green software in its infancy. Optimizing the usage of computing resources, minimizing power consumption or increasing battery life are some of the goals of this field of research. As an attempt to address the most recent sustainability challenges, we must incorporate the energy consumption as a first-class constraint when designing new compact data structures. Thus, as a preliminary work to reach that goal, we first need to understand the factors that impact on the energy consumption and their relation with compression. In this work, we study the energy consumption required by several integer vector representations. We execute typical operations over datasets of different nature. We can see that, as commonly believed, energy consumption is highly related to the time required by the process, but not always. We analyze other parameters, such as number of instructions, number of CPU cycles, memory loads, among others.

2019-01-01T00:00:00Z