Samuel W. Flint // Robert Dyer // UNL

Samuel W. Flint
Ph.D.
He is interested in the empirical evaluation of programming languages and language constructs using large datasets, as well as through methods like eye-tracking to better understand how developers comprehend code as they read or write.

ESEC/FSE: Performing Large-Scale Mining Studies: From Start to Finish (Tutorial) Robert Dyer, Samuel W. Flint. November 18, 2022.
EMSE: Pitfalls and Guidelines for Using Time-Based Git Data Samuel W. Flint, Jigyasa Chauhan, Robert Dyer. October 6, 2022.
MSR: Escaping the Time Pit: Pitfalls and Guidelines for Using Time-Based Git Data Distinguished Paper Award Samuel W. Flint, Jigyasa Chauhan, Robert Dyer. May 17, 2021.
Acceptance rate: 48/140 (34.29%)