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Fáber D. Giraldo

Researcher at University of Quindío

Publications -  47
Citations -  303

Fáber D. Giraldo is an academic researcher from University of Quindío. The author has contributed to research in topics: Quality (business) & Process (engineering). The author has an hindex of 8, co-authored 46 publications receiving 215 citations. Previous affiliations of Fáber D. Giraldo include Polytechnic University of Valencia & National University of La Matanza.

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Precision Techniques and Agriculture 4.0 Technologies to Promote Sustainability in the Coffee Sector: State of the Art, Challenges and Future Trends

TL;DR: A Systematic Literature Review (SLR) supported by a Bibliometric Performance and Network Analysis (BPNA) of the use of A4.0 technologies and PA techniques in the coffee sector shows that Internet of Things, Machine Learning and geostatistics are the most used technologies in the Coffee sector.
Proceedings ArticleDOI

Analysing the concept of quality in model-driven engineering literature: A systematic review

TL;DR: The main contribution of this work is the identification of representative trends about quality definition in MDE, and therefore, exposing the implications of the multiple quality interpretations as consequence of the diversity in Mde compliance works.
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Process modeling for smart factories: using science mapping to understand the strategic themes, main challenges and future trends

TL;DR: The results show that the Business Process Model and Notation, Unified Modelling Language (UML) and Petri Net are the most relevant languages to smart manufacturing.
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Electronic Voting Using Blockchain And Smart Contracts: Proof Of Concept

TL;DR: This document presents a proof of concept in which Blockchain and other technologies are applied, to allow interaction as an electronic voting system for the election of unique candidates.
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Considerations about quality in model-driven engineering

TL;DR: This work presents the current state and some relevant considerations regarding quality in MDE, by identifying current categories in quality conception and by highlighting quality issues in real applications of the model-driven initiatives, and derives eight challenges for quality evaluation in Mde projects that current quality initiatives do not address sufficiently.