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.
A high-impact article was Accepted
The article “DSSM: Distributed Streaming Data Sharing Manager” was accepted in the Journal Sensors, which is indexed by JCR-WoS and whose 5-Year Impact Factor is 3.427. The authors are Hiroaki Fukuda, Ryota Gunji, Tadahiro Hasegawa, Paul Leger, and Ismael Figueroa (three members of this laboratory). Abstract: Developing robot control software systems is difficult because of […]
Double Impact of Pragmatics on JCC 2020
Two papers are accepted at XXXIX International Conference of the Chilean Computer Science Society, SCCC’ 2020. Papers are: Empirical Comparison of Supervised Algorithms for Ransomware Identification on Network Traffic. Carlos Manzano, Claudio Meneses, Paul Leger. A Collaborative Learning Strategy in an MIS Development Course Using Case Method in Engineering in Information and Management ControlMargareth Cleveland, […]
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.