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Seminar by Olga Baysal (Université de Montréal)

January 26, 2015

Speaker: Olga Baysal
                Université de Montréal

Title: Software Analytics for Developers: the Good, the Bad and the Ugly

Date: Monday, January 26th, 2015

Time: 10:30AM - 12PM

Place: EV 2.309


Software engineers generate vast quantities of development artifacts 
such as source code, defect data, commit history, test suits, usage 
logs, documentation, etc., as they create and maintain their projects. 
The information contained in these artifacts could provide valuable 
insights into the software projects (e.g., software quality, development 
productivity, or user experience). However, extracting meaningful facts 
and interpreting them is not feasible just by looking at the raw data; 
thus, stakeholders often make daily decisions based on their intuition 
or previous experience.

In this talk, I will demonstrate how software analytics can be used to 
leverage large volumes of data and provide practitioners with up-to-date 
and insightful information that can support informed decisions around 
software projects.  In particular, I will talk about employing analytics 
to help developers gain and maintain ongoing awareness on their projects 
and activities, and support their day-to-day development tasks such as 
resolving issues, submitting a patch for a review, and conducting code 


Olga Baysal is an assistant professor at the Department of Computer 
Science and Operations Research (DIRO), Université de Montréal, Canada. 
Prior to joining DIRO, she completed a short Natural Sciences and 
Engineering Research Council of Canada postdoctoral fellowship at the 
University of Toronto. Olga received her MMath and PhD in Computer 
Science from the University of Waterloo. Her research interests span a 
wide range of software engineering areas, including empirical software 
engineering, mining software repositories, software analytics, software 
maintenance and evolution, and human aspects of software engineering. 
Much of Olga's work focuses on understanding how software engineers 
create, use and maintain software systems.

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