Buscar
Mostrando ítems 1-10 de 12
Artículo
Empirical Evidence of the Usage of Programming Languages in the Educational Process
(IEEE Computer Society, 2021)
Contribution: A systematic literature review on the empirical evidence regarding the usage of programming languages for learning purposes is presented. The review analyzes different methods and tools at different ...
Artículo
Effects of Mindfulness on Conceptual Modeling Performance: a Series of Experiments
(IEEE Computer Society, 2022)
Context. Mindfulness is a meditation technique whose main goal is keeping the mind calm and educating attention by focusing only on one thing at a time, usually breathing. The reported benefits of its continued practice ...
Artículo
Perses: A framework for the continuous evaluation of the QoS of distributed mobile applications
(ScienceDirect, 2022-08)
The increasing capabilities of mobile devices have led to the emergence of new paradigms exploiting them. These paradigms foster the onload and distribution of functionalities on mobile devices, allowing the development ...
Artículo
Automated Validation of Compensable SLAs
(IEEE Computer Society, 2021)
A Service Level Agreement (SLA) regulates the provisioning of a service by defining a set of guarantees. Each guarantee sets a Service Level Objective (SLO) on some service metrics, and optionally a compensation that is ...
Artículo
Known by Who We Follow: A Biclustering Application to Community Detection
(IEEE Computer Society, 2020)
The detection of communities in social networks is a task with multiple applications both in research and in sectors such as marketing and politics among others. In this paper, we address the task of detecting on-line ...
Artículo
Assessment of C++ object-oriented mutation operators: A selective mutation approach
(Wiley, 2017)
Mutation testing is an effective but costly testing technique. Several studies have observed that some mutants can be redundant and therefore removed without affecting its effectiveness. Sim ilarly, some mutants may be ...
Artículo
MCFS: Min-cut-based feature-selection
(Elsevier, 2020)
In this paper, MCFS (Min-Cut-based feature-selection) is presented, which is a feature-selection algorithm based on the representation of the features in a dataset by means of a directed graph. The main contribution of our ...
Artículo
Energy efficient adaptation engines for android applications
(Elsevier, 2020)
Context The energy consumption of mobile devices is increasing due to the improvement in their components (e.g., better processors, larger screens). Although the hardware consumes the energy, the software is responsible ...
Artículo
CAFE: Knowledge graph completion using neighborhood-aware features
(Elsevier, 2021)
Knowledge Graphs (KGs) currently contain a vast amount of structured information in the form of entities and relations. Because KGs are often constructed automatically by means of information extraction processes, they ...
Artículo
Energy-Efficient Indoor Localization WiFi-Fingerprint System: An Experimental Study
(IEEE Computer Society, 2019)
In order to apply indoor localization systems in real environments it is necessary to provide an accurate location without implying a high impact on the user's normal behaviour. To achieve this goal, in this paper, a ...