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07/17/2023
In-IDE Generation-based Information Support with a Large Language Model
Understanding code is challenging, especially when working in new and co...
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12/05/2021
VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning
Variable names are critical for conveying intended program behavior. Mac...
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08/13/2021
Augmenting Decompiler Output with Learned Variable Names and Types
A common tool used by security professionals for reverse-engineering bin...
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01/27/2021
In-IDE Code Generation from Natural Language: Promise and Challenges
A great part of software development involves conceptualizing or communi...
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06/22/2020
Multitasking Across Industry Projects: A Replication Study
Background: Multitasking is usual in software development. It is the abi...
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04/20/2020
Incorporating External Knowledge through Pre-training for Natural Language to Code Generation
Open-domain code generation aims to generate code in a general-purpose p...
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03/17/2020
An Exploratory Study of Bot Commits
Background: Bots help automate many of the tasks performed by software d...
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03/02/2020
Detecting and Characterizing Bots that Commit Code
Background: Some developer activity traditionally performed manually, su...
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09/19/2019
DIRE: A Neural Approach to Decompiled Identifier Naming
The decompiler is one of the most common tools for examining binaries wi...
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05/30/2019
A large-scale, in-depth analysis of developers' personalities in the Apache ecosystem
Context: Large-scale distributed projects are typically the results of c...
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03/15/2019
BugSwarm: Mining and Continuously Growing a Dataset of Reproducible Failures and Fixes
Fault-detection, localization, and repair methods are vital to software ...
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05/23/2018
Learning to Mine Aligned Code and Natural Language Pairs from Stack Overflow
For tasks like code synthesis from natural language, code retrieval, and...
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03/03/2018
