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Thursday, April 26, 2018 10:30 am - 10:30 am EDT (GMT -04:00)

Seminar • Data Systems — Improving Understanding and Exploration of Data by Non-Database Experts

Rachel Pottinger, Department of Computer Science
University of British Columbia

Users are faced with an increasing onslaught of data, whether it's in their choices of movies to watch, assimilating data from multiple sources, or finding information relevant to their lives on open data registries. In this talk I discuss some of the recent and ongoing work about how to improve understanding and exploration of such data, particularly by users with little database background.

Friday, April 27, 2018 11:30 am - 11:30 am EDT (GMT -04:00)

PhD Seminar • Software Engineering — Learning Software Behavioral Models from Execution Traces

Rafael Olaechea Velazco, PhD candidate
David R. Cheriton School of Computer Science

Software behavioural models, such as finite state machines, are used as an input to model checking tools to verify that software satisfies its requirements. As constructing such models by hand is time-consuming and error-prone, researchers have developed tools to automatically extract such models from systems’ execution traces.