NSF Interdisciplinary Workshop on Statistical NLP and Software Engineering – Session 5

November 2, 2015
Earl Barr and Daniel Tarlow | UCL, Microsoft

2:30 – 4:00 Earl Barr: Inference Problems in Software Engineering Daniel Tarlow: TBA (Chairs: Charles Sutton, Tien Nguyen)

Speaker Details

Earl Barr is a lecturer (assistant professor) in at the University College London. He received his PhD from UC Davis in 2009. Dr. Barr’s research interests include testing and analysis, empirical software engineering, and computer security. He is working on affordable time-traveling debugging with Mark Marron. Surprisingly, given its fundamental importance to software engineering, we do not know how developers spend their time in any detail; he and Chris Bird are working on finding out. He is also working on ways to exploit the “naturalness” of software, the tendency of programmers to write code that is locally repetitive, to improve completion/suggestion engines and to learn the identifier naming and formatting conventions used in a code base.