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09/07/2023
The Devil is in the Tails: How Long-Tailed Code Distributions Impact Large Language Models
Learning-based techniques, especially advanced Large Language Models (LL...
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08/24/2023
How are We Detecting Inconsistent Method Names? An Empirical Study from Code Review Perspective
Proper naming of methods can make program code easier to understand, and...
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08/21/2023
Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models
Large Language Models (LLMs) possess impressive capabilities to generate...
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07/19/2023
Are We Ready to Embrace Generative AI for Software Q A?
Stack Overflow, the world's largest software Q A (SQA) website, is fac...
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05/06/2023
On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Language Models of Code
Pre-trained language models (PLMs) have become a prevalent technique in ...
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04/11/2023
APISENS- Sentiment Scoring Tool for APIs with Crowd-Knowledge
Utilizing pre-existing software artifacts, such as libraries and Applica...
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04/05/2023
APIHarvest: Harvesting API Information from Various Online Sources
Using APIs to develop software applications is the norm. APIs help devel...
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03/22/2023
PICASO: Enhancing API Recommendations with Relevant Stack Overflow Posts
While having options could be liberating, too many options could lead to...
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03/13/2023
Generation-based Code Review Automation: How Far Are We?
Code review is an effective software quality assurance activity; however...
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03/13/2023
Representation Learning for Stack Overflow Posts: How Far are We?
The tremendous success of Stack Overflow has accumulated an extensive co...
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03/01/2023
PatchZero: Zero-Shot Automatic Patch Correctness Assessment
Automated Program Repair (APR) techniques have shown more and more promi...
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12/12/2022
A Pre-Trained BERT Model for Android Applications
The automation of an increasingly large number of software engineering t...
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08/03/2020