Search Results for author: Prem Devanbu

Found 4 papers, 1 papers with code

Code to Comment "Translation": Data, Metrics, Baselining & Evaluation

no code implementations3 Oct 2020 David Gros, Hariharan Sezhiyan, Prem Devanbu, Zhou Yu

We carefully examine the underlying assumption here: that the task of generating comments sufficiently resembles the task of translating between natural languages, and so similar models and evaluation metrics could be used.

Information Retrieval Retrieval +1

Deep Learning & Software Engineering: State of Research and Future Directions

1 code implementation17 Sep 2020 Prem Devanbu, Matthew Dwyer, Sebastian Elbaum, Michael Lowry, Kevin Moran, Denys Poshyvanyk, Baishakhi Ray, Rishabh Singh, Xiangyu Zhang

The intent of this report is to serve as a potential roadmap to guide future work that sits at the intersection of SE & DL.

Do People Prefer "Natural" code?

no code implementations8 Oct 2019 Casey Casalnuovo, Kevin Lee, Hulin Wang, Prem Devanbu, Emily Morgan

Natural code is known to be very repetitive (much more so than natural language corpora); furthermore, this repetitiveness persists, even after accounting for the simpler syntax of code.

Language Modelling

Studying the Difference Between Natural and Programming Language Corpora

no code implementations6 Jun 2018 Casey Casalnuovo, Kenji Sagae, Prem Devanbu

Code corpora, as observed in large software systems, are now known to be far more repetitive and predictable than natural language corpora.

Cannot find the paper you are looking for? You can Submit a new open access paper.