Research in Computer Science and its Applications
The Pragmatics laboratory is a laboratory focused on computer science research and its applications. Concretely, we work on software development from programming languages and software engineering; in addition, we study real-world applications of computer science. If you are interested in knowing more about us, please visit research areas and publications Web pages.
Evaluations of Integrated Programming Environment for First-Year Students in Computer Engineering
A new paper has been accepted in the Journal of Universal Computer Science, where the authors are: Matias Salinas, Paul Leger, Hiroaki Fukuda, Nicolás Cardozo, Vannessa Duarte, and Ismael Figureoa (To appear). Here is the abstract: Many factors influence the problems that currently exist in the learning-teaching process of programming. The use of an Integrated Development Environment […]
Ad Hoc Systems Management and Specification with Distributed Petri Nets
A new paper is accepted in the Complexity journal, where the authors are: Juan Sebastian Sosa, Paul Leger, Hiroaki Fukuda, Nicolás Cardozo (https://doi.org/10.1155/2021/6760920 – To appear). Here is the abstract: Managing mobile ad hoc systems is a difficult task due to the high volatility of the systems’ topology. Ad hoc systems are commonly defined by means of […]
We develop tools, techniques, and methodologies to help software developers be better at their job of creating scalable, maintainable, and robust software products. We have a particular focus on language-based mechanisms and paradigms, as well as language-oriented tools.
We develop middleware systems for distributed systems such as wireless sensor networks, Internet of Things, and autonomous robots. We also develop system software such as embedded operating systems and virtual machines that support the infrastructure of distributed systems.
Computing for Business
We develop novel computational solutions to business problems related to finance, accounting, tourism, decision science, and information systems. Our work is not only focused on advanced business analytics, but also in the application of agent-based simulations to improve the comprehension of complex economical phenomena.