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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. 

Thursday, May 3, 2018 8:30 am - 8:30 am EDT (GMT -04:00)

Master’s Thesis Presentation • Software Engineering — Requirements Engineering by Evolutionary Prototyping: A Case for Using Prototypes to Develop Quality Software

Andrew Pham, Master’s candidate
David R. Cheriton School of Computer Science

Modern software development workflows are considerably agile, meaning that the work is broken up into individual stories or pieces that are divvied up among the engineers on a team. Each developer is responsible for a certain number of units of work per two-week sprint and must also manage the backlog to make sure that pending features are correctly prioritized, delegated, and removed if necessary.