44 citations · 49 across the 2 of their papers we have counts for
2 papers
cs.SE2022★ 5 cited
Neurosymbolic Repair for Low-Code Formula Languages
Rohan Bavishi, Harshit Joshi, José Pablo Cambronero Sánchez +5
Most users of low-code platforms, such as Excel and PowerApps, write programs in domain-specific formula languages to carry out nontrivial tasks. Often users can write most of the…
cs.SE2018★ 44 cited
Context2Name: A Deep Learning-Based Approach to Infer Natural Variable Names from Usage Contexts
Rohan Bavishi, Michael Pradel, Koushik Sen
Most of the JavaScript code deployed in the wild has been minified, a process in which identifier names are replaced with short, arbitrary and meaningless names. Minified code occu…