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08/31/2023
Learning to Represent Patches
Patch representation is crucial in automating various software engineeri...
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08/29/2023
Hyperbolic Code Retrieval: A Novel Approach for Efficient Code Search Using Hyperbolic Space Embeddings
Within the realm of advanced code retrieval, existing methods have prima...
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08/29/2023
Multilevel Semantic Embedding of Software Patches: A Fine-to-Coarse Grained Approach Towards Security Patch Detection
The growth of open-source software has increased the risk of hidden vuln...
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07/16/2023
The Roll-Out of Community Notes Did Not Reduce Engagement With Misinformation on Twitter
Developing interventions that successfully reduce engagement with misinf...
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04/24/2023
Is ChatGPT the Ultimate Programming Assistant – How far is it?
The recent progress in generative AI techniques has significantly influe...
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04/23/2023
Finding Failure-Inducing Test Cases with ChatGPT
Automatically detecting software failures is an important task and a lon...
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01/07/2023
App Review Driven Collaborative Bug Finding
Software development teams generally welcome any effort to expose bugs i...
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12/03/2022
AI-driven Mobile Apps: an Explorative Study
Recent years have witnessed an astonishing explosion in the evolution of...
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08/08/2022
Is this Change the Answer to that Problem? Correlating Descriptions of Bug and Code Changes for Evaluating Patch Correctness
In this work, we propose a novel perspective to the problem of patch cor...
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06/13/2022
MetaTPTrans: A Meta Learning Approach for Multilingual Code Representation Learning
Representation learning of source code is essential for applying machine...
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07/28/2021
Checking Patch Behaviour against Test Specification
Towards predicting patch correctness in APR, we propose a simple, but no...
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08/07/2020