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06/06/2023
Impact of Large Language Models on Generating Software Specifications
Software specifications are essential for ensuring the reliability of so...
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06/05/2023
LmPa: Improving Decompilation by Synergy of Large Language Model and Program Analysis
Decompilation aims to recover the source code form of a binary executabl...
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05/29/2023
How Effective Are Neural Networks for Fixing Security Vulnerabilities
Security vulnerability repair is a difficult task that is in dire need o...
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02/10/2023
Impact of Code Language Models on Automated Program Repair
Automated program repair (APR) aims to help developers improve software ...
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02/03/2023
KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair
Automated Program Repair (APR) improves software reliability by generati...
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09/02/2021
Leveraging Documentation to Test Deep Learning Library Functions
It is integral to test API functions of widely used deep learning (DL) l...
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02/26/2021
CURE: Code-Aware Neural Machine Translation for Automatic Program Repair
Automatic program repair (APR) is crucial to improve software reliabilit...
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04/26/2020
Towards Feature Space Adversarial Attack
We propose a new type of adversarial attack to Deep Neural Networks (DNN...
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06/20/2019
ENCORE: Ensemble Learning using Convolution Neural Machine Translation for Automatic Program Repair
Automated generate-and-validate (G&V) program repair techniques typicall...
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01/26/2018
