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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
Specification and Automated Analysis of Inter-Parameter Dependencies in Web APIs
(IEEE Computer Society, 2021)
Web services often impose inter-parameter dependencies that restrict the way in which two or more input parameters can be combined to form valid calls to the service. Unfortunately, current specification languages for web ...
Artículo
DISCERNER: Dynamic selection of resource manager in hyper-scale cloud-computing data centres
(Elsevier, 2021)
Data centres constitute the engine of the Internet, and run a major portion of large web and mobile applications, content delivery and sharing platforms, and Cloud-computing business models. The high performance of such ...
Artículo
ARTE: Automated Generation of Realistic Test Inputs for Web APIs
(IEEE Computer Society, 2022)
Automated test case generation for web APIs is a thriving research topic, where test cases are frequently derived from the API specification. However, this process is only partially automated since testers are usually ...
Artículo
A systematic review of artificial intelligence-based music generation: Scope, applications, and future trends
(Elsevier, 2022-12)
Currently available reviews in the area of artificial intelligence-based music generation do not provide a wide range of publications and are usually centered around comparing very specific topics between a very limited ...
Artículo
Model Transformation Modularization as a Many-Objective Optimization Problem
(IEEE Computer Society, 2017)
Model transformation programs are iteratively refined, restructured, and evolved due to many reasons such as fixing bugs and adapting existing transformation rules to new metamodels version. Thus, modular design is a ...
Artículo
Entity reconciliation in big data sources: A systematic mapping study
(Elsevier, 2017)
The entity reconciliation (ER) problem aroused much interest as a research topic in today’s Big Dataera, full of big and open heterogeneous data sources. This problem poses when relevant information ona topic needs to be ...
Artículo
External clustering validity index based on chi-squared statistical test
(Elsevier, 2019)
Clustering is one of the most commonly used techniques in data mining. Its main goal is to group objects into clusters so that each group contains objects that are more similar to each other than to objects in other ...
Artículo
Flexible runtime support of business processes under rolling planning horizons
(Elsevier, 2021)
This work has been motivated by the needs we discovered when analyzing real-world processes from the healthcare domain that have revealed high flexibility demands and complex temporal constraints. When trying to model ...
Artículo
Smart Contract Languages: A Multivocal Mapping Study
(ACM: Association for Computing Machinery, 2022)
Blockchain is a disruptive technology that has attracted the attention of the scientific community and compa nies, as proven by the exponential growth of publications on this topic in recent years. This growing interest is ...