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.
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, […]
Special Edition on Information and Software Technology
Professor Paul Leger becomes a Guest Editor on the journal Information and Software Technology, which is a specialized software engineering journal in Elsevier (WoS-q2/SJR-q1). This special issue is “Visualization applied to Software Engineering” and you can find more information on https://www.journals.elsevier.com/information-and-software-technology
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.