activity
20162021
most citedAugmenting Decompiler Output with Learned Variable Names and Types

11 citations · 17 across the 5 of their papers we have counts for

collaborators

10 papers

cs.SE202111 cited

Augmenting Decompiler Output with Learned Variable Names and Types

Qibin Chen, Jeremy Lacomis, Edward J. Schwartz +3

A common tool used by security professionals for reverse-engineering binaries found in the wild is the decompiler. A decompiler attempts to reverse compilation, transforming a bina…

cs.SE2021

In-IDE Code Generation from Natural Language: Promise and Challenges

Frank F. Xu, Bogdan Vasilescu, Graham Neubig

A great part of software development involves conceptualizing or communicating the underlying procedures and logic that needs to be expressed in programs. One major difficulty of p…

cs.SE2020

Multitasking Across Industry Projects: A Replication Study

Karina Kohl, Bogdan Vasilescu, Rafael Prikladnicki

Background: Multitasking is usual in software development. It is the ability to stop working on a task, switch to another, and return eventually to the first one, as needed or as s…

cs.CL20203 cited

Incorporating External Knowledge through Pre-training for Natural Language to Code Generation

Frank F. Xu, Zhengbao Jiang, Pengcheng Yin +2

Open-domain code generation aims to generate code in a general-purpose programming language (such as Python) from natural language (NL) intents. Motivated by the intuition that dev…

cs.SE2020

An Exploratory Study of Bot Commits

Tapajit Dey, Bogdan Vasilescu, Audris Mockus

Background: Bots help automate many of the tasks performed by software developers and are widely used to commit code in various social coding platforms. At present, it is not clear…

cs.SE2020

Detecting and Characterizing Bots that Commit Code

Tapajit Dey, Sara Mousavi, Eduardo Ponce +4

Background: Some developer activity traditionally performed manually, such as making code commits, opening, managing, or closing issues is increasingly subject to automation in man…