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Tracking the Flow of Ideas through the Programming Languages Literature
Monday, April 20, 2015, 1:00-2:00 pm Calendar
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Abstract
How have conferences like ICFP, OOPSLA, PLDI, and POPL evolved over the last 20 years? Did generalizing the Call for Papers for OOPSLA in 2007 or changing the name of the umbrella conference to SPLASH in 2010 have any effect on the kinds of papers published there? How do POPL and PLDI papers compare, topic-wise? Is there related work that I am missing? Have the ideas in O’Hearn’s classic paper on separation logic shifted the kinds of papers that appear in POPL? Does a proposed program committee cover the range of submissions expected for the conference? If we had better tools for analyzing the programming language literature, we might be able to answer these questions and others like them in a data-driven way. We explore how topic modeling, a branch of machine learning, might help the programming language community better understand our literature.
 
This is joint work with Kathleen Fisher and David Walker.
Bio
Michael Greenberg is wrapping up a postdoc at Princeton University before starting as an assistant professor at Pomona College. He received his BA in Computer Science and Egyptology from Brown University (2007) and his PhD in Computer Science from the University of Pennsylvania (2013).
This talk is organized by David Van Horn