It gives me a great pleasure to announce the third regular issue of
2020. I want to thank all authors for contributing their sound
research and the editorial board for the highly valuable review effort
and comments for improvements. These contributions together with the
generous support of the consortium members sustain the quality of our
journal. In this regular issue, I am very pleased to introduce 9
accepted papers which have passed a rigorous peer-review process.
Alexsandro Oliveira Alexandrino, Andre Rodrigues Oliveira, Ulisses
Dias, and Zanoni Dias from Brazil report in their article on their
approach to finding a minimum cost sequence of rearrangements needed
to transform one genome into another.
Daniel de Souza Baulé, Christiane Gresse von Wangenheim, Aldo von
Wangenheim, and Jean C. R. Hauck from Brazil analyze and discuss in
their contribution recent progress in automated code generation from
GUI images by means of machine learning techniques.
In a collaborative research between India, Turkey and Lithuania,
Ranjan Kumar Behera, Sushree Das, Santanu Kumar Rath, Sanjay Misra,
and Robertas Damasevicius propose and discuss various machine learning
models which predict the stock price from the real-time streaming
Tony Clark from the UK and Jens Gulden from The Netherlands review the
current state of the art for modelling tools and propose a set of
reflective meta-modelling tool requirements for designing and
Augusto C. de Castro Barbosa, Carlos A. de Moura, Jhoab P. de
Negreiros, and J. Mesquita de Souza Aguia from Brazil deal with the
numerical treatment of a data completion problem in heat conduction
In a collaborative research between Austria and Eastland, Angela
Fessl, Viktoria Pammer-Schindler, Kai Pata, Sandra Feyertag, Mati
Mottus, Jörgen Janus, and Tobias Ley present cooperative design as
method to address the needs of SMEs to gain sufficient knowledge about
new technologies to decide about their adoption for knowledge
José L. Martín, Susana Sastre, José M. Peiró, and José Ramón Hilera
from Spain discuss the effects of using a fully integrated mobile
application to access learning management systems in higher education.
Emilio Rodríguez-Priego, Francisco J. García-Izquierdo and Ángel Luis
Rubio from Spain present their proposal for an improved model for
modeling, named Scientific Method approach to Modeling (SMM).
And last but not least, Shuangbu Wang, Yu Xia, Lihua You, and Jianjun
Zhang from the United Kingdom propose an automatic method to extract
curve segments and reconstruct curve networks from unorganized spatial
Christian Gütl, Managing Editor
Graz University of Technology, Graz, Austria