This event is from the archives of The Notice Board. The event has already taken place and the information contained in this post may no longer be relevant or accurate.
Title:
Machine Learning and Programming Style
Abstract:
Current research here at ULeth is exploring how sociolinguistic differences like gender, region,
and experience affect how people use programming languages. Machine learning models are
trained with a set of programming samples that are already grouped and labeled. These models
can then predict the group the programmer belongs with reasonable accuracy. Alternatively, We
can start with a set of samples that we have no groups labels for. In this case the machine
learning model will group the samples based on specific features of programming style. We will go over some basic machine learning concepts. Then explore some of the methods being used here at the university, as well as some of the results. Finally, we will discuss some of the future directions of this research and possible applications in the field of software engineering.
The talk should be accessible to anyone. We will define the necessary concepts and examine
methods and results more than technical details. Anyone interested in learning how machine
learning can be used to solve some problems may gain useful insights.
Contact:
Barb Hodgson | hodgsonb@uleth.ca | (403) 329-2470 | uleth.ca/artsci/math-computer-science/student-seminars
