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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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07/27/2023
Using Gameplay Videos for Detecting Issues in Video Games
Context. The game industry is increasingly growing in recent years. Ever...
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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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02/08/2023
Source Code Recommender Systems: The Practitioners' Perspective
The automatic generation of source code is one of the long-lasting dream...
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02/08/2023
Automating Code-Related Tasks Through Transformers: The Impact of Pre-training
Transformers have gained popularity in the software engineering (SE) lit...
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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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08/16/2022
Don't Reinvent the Wheel: Towards Automatic Replacement of Custom Implementations with APIs
Reusing code is a common practice in software development: It helps deve...
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06/17/2022
Detecting Connectivity Issues in Android Apps
Android is the most popular mobile operating system in the world, runnin...
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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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04/15/2022
AI-driven Development Is Here: Should You Worry?
AI-Driven Development Environments (AIDEs) Integrate the power of modern...
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04/14/2022
To What Extent do Deep Learning-based Code Recommenders Generate Predictions by Cloning Code from the Training Set?
Deep Learning (DL) models have been widely used to support code completi...
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04/08/2022
Towards Using Gameplay Videos for Detecting Issues in Video Games
Context. The game industry is increasingly growing in recent years. Ever...
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01/27/2022
Taxonomy of Security Weaknesses in Java and Kotlin Android Apps
Android is nowadays the most popular operating system in the world, not ...
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01/18/2022
Using Reinforcement Learning for Load Testing of Video Games
Different from what happens for most types of software systems, testing ...
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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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10/17/2021
Studying Eventual Connectivity Issues in Android Apps
Mobile apps have become indispensable for daily life, not only for indiv...
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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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03/22/2021
Shallow or Deep? An Empirical Study on Detecting Vulnerabilities using Deep Learning
Deep learning (DL) techniques are on the rise in the software engineerin...
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03/12/2021
An Empirical Study on the Usage of BERT Models for Code Completion
Code completion is one of the main features of modern Integrated Develop...
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03/08/2021
Sampling Projects in GitHub for MSR Studies
Almost every Mining Software Repositories (MSR) study requires, as first...
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03/08/2021
Siri, Write the Next Method
Code completion is one of the killer features of Integrated Development ...
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02/05/2021
Evaluating SZZ Implementations Through a Developer-informed Oracle
The SZZ algorithm for identifying bug-inducing changes has been widely u...
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02/03/2021
Studying the Usage of Text-To-Text Transfer Transformer to Support Code-Related Tasks
Deep learning (DL) techniques are gaining more and more attention in the...
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01/07/2021
Towards Automating Code Review Activities
Code reviews are popular in both industrial and open source projects. Th...
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01/05/2021
Why Developers Refactor Source Code: A Mining-based Study
Refactoring aims at improving code non-functional attributes without mod...
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09/28/2020
Automated Identification of On-hold Self-admitted Technical Debt
Modern software is developed under considerable time pressure, which imp...
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09/24/2020
On the Relationship between Refactoring Actions and Bugs: A Differentiated Replication
Software refactoring aims at improving code quality while preserving the...
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02/13/2020
On Learning Meaningful Assert Statements for Unit Test Cases
Software testing is an essential part of the software lifecycle andrequi...
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02/12/2020
DeepMutation: A Neural Mutation Tool
Mutation testing can be used to assess the fault-detection capabilities ...
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10/24/2019
Taxonomy of Real Faults in Deep Learning Systems
The growing application of deep neural networks in safety-critical domai...
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01/25/2019
On Learning Meaningful Code Changes via Neural Machine Translation
Recent years have seen the rise of Deep Learning (DL) techniques applied...
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12/27/2018
Learning How to Mutate Source Code from Bug-Fixes
Mutation testing has been widely accepted as an approach to guide test c...
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12/20/2018
An Empirical Study on Learning Bug-Fixing Patches in the Wild via Neural Machine Translation
Millions of open-source projects with numerous bug fixes are available i...
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02/13/2018
MDroid+: A Mutation Testing Framework for Android
Mutation testing has shown great promise in assessing the effectiveness ...
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07/27/2017