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08/31/2023
Toward Automatically Completing GitHub Workflows
Continuous integration and delivery (CI/CD) are nowadays at the core of ...
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08/17/2023
Towards Automatically Addressing Self-Admitted Technical Debt: How Far Are We?
Upon evolving their software, organizations and individual developers ha...
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03/28/2023
Automatically Generating Dockerfiles via Deep Learning: Challenges and Promises
Containerization allows developers to define the execution environment i...
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02/01/2023
On the Robustness of Code Generation Techniques: An Empirical Study on GitHub Copilot
Software engineering research has always being concerned with the improv...
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12/12/2022
Automated Variable Renaming: Are We There Yet?
Identifiers, such as method and variable names, form a large portion of ...
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06/17/2022
Using Transfer Learning for Code-Related Tasks
Deep learning (DL) techniques have been used to support several code-rel...
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01/18/2022
Using Pre-Trained Models to Boost Code Review Automation
Code review is a practice widely adopted in open source and industrial p...
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01/13/2022
Using Deep Learning to Generate Complete Log Statements
Logging is a practice widely adopted in several phases of the software l...
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08/03/2021
An Empirical Study on the Usage of Transformer Models for Code Completion
Code completion aims at speeding up code writing by predicting the next ...
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07/22/2021
An Empirical Study on Code Comment Completion
Code comments play a prominent role in program comprehension activities....
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02/03/2021
