Software Dependencies 2.0: An Empirical Study of Reuse and Integration of Pre-Trained Models in Open-Source Projects
Fuente:
arXiv
Saved in:
| Main Authors: | Yasmin, Jerin, Jiang, Wenxin, Davis, James C., Tian, Yuan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software
by: Jiang, Wenxin, et al.
Published: (2024)
by: Jiang, Wenxin, et al.
Published: (2024)
An Empirical Study of Developers' Challenges in Implementing Workflows as Code: A Case Study on Apache Airflow
by: Yasmin, Jerin, et al.
Published: (2024)
by: Yasmin, Jerin, et al.
Published: (2024)
Reusing Deep Learning Models: Challenges and Directions in Software Engineering
by: Davis, James C., et al.
Published: (2024)
by: Davis, James C., et al.
Published: (2024)
When AI Models Become Dependencies: Studying the Evolution of Pre-Trained Model Reuse in Downstream Software Systems
by: Banyongrakkul, Peerachai, et al.
Published: (2026)
by: Banyongrakkul, Peerachai, et al.
Published: (2026)
An Empirical Investigation of Pre-Trained Deep Learning Model Reuse in the Scientific Process
by: Synovic, Nicholas M., et al.
Published: (2026)
by: Synovic, Nicholas M., et al.
Published: (2026)
Beyond Dependencies: The Role of Copy-Based Reuse in Open Source Software Development
by: Jahanshahi, Mahmoud, et al.
Published: (2024)
by: Jahanshahi, Mahmoud, et al.
Published: (2024)
An Empirical Study of Policy-as-Code Adoption in Open-Source Software Projects
by: Foalem, Patrick Loic, et al.
Published: (2026)
by: Foalem, Patrick Loic, et al.
Published: (2026)
Dataset: Copy-based Reuse in Open Source Software
by: Jahanshahi, Mahmoud, et al.
Published: (2023)
by: Jahanshahi, Mahmoud, et al.
Published: (2023)
"I see models being a whole other thing": An Empirical Study of Pre-Trained Model Naming Conventions and A Tool for Enhancing Naming Consistency
by: Jiang, Wenxin, et al.
Published: (2023)
by: Jiang, Wenxin, et al.
Published: (2023)
Exploring the Lifecycle and Maintenance Practices of Pre-Trained Models in Open-Source Software Repositories
by: Koohjani, Matin, et al.
Published: (2025)
by: Koohjani, Matin, et al.
Published: (2025)
Predicting Abandonment of Open Source Software Projects with An Integrated Feature Framework
by: Xu, Yiming, et al.
Published: (2025)
by: Xu, Yiming, et al.
Published: (2025)
An Empirical Study of Security-Policy Related Issues in Open Source Projects
by: Kanaji, Rintaro, et al.
Published: (2025)
by: Kanaji, Rintaro, et al.
Published: (2025)
Measuring Software Development Waste in Open-Source Software Projects
by: Varanasi, Dhiraj SM, et al.
Published: (2024)
by: Varanasi, Dhiraj SM, et al.
Published: (2024)
Unveiling Code Clone Patterns in Open Source VR Software: An Empirical Study
by: Chen, Huashan, et al.
Published: (2025)
by: Chen, Huashan, et al.
Published: (2025)
An Exploratory Mixed-Methods Study on General Data Protection Regulation (GDPR) Compliance in Open-Source Software
by: Franke, Lucas, et al.
Published: (2024)
by: Franke, Lucas, et al.
Published: (2024)
Understanding Abandonment and Slowdown Dynamics in the Maven Ecosystem
by: Hasan, Kazi Amit, et al.
Published: (2025)
by: Hasan, Kazi Amit, et al.
Published: (2025)
Does Documentation Matter? An Empirical Study of Practitioners' Perspective on Open-Source Software Adoption
by: Imani, Aaron, et al.
Published: (2024)
by: Imani, Aaron, et al.
Published: (2024)
Community Engagement and the Lifespan of Open-Source Software Projects
by: Kaushik, Mohit, et al.
Published: (2025)
by: Kaushik, Mohit, et al.
Published: (2025)
Finding 709 Defects in 258 Projects: An Experience Report on Applying CodeQL to Open-Source Embedded Software (Experience Paper) -- Extended Report
by: Shen, Mingjie, et al.
Published: (2023)
by: Shen, Mingjie, et al.
Published: (2023)
Quantifying Competitive Relationships Among Open-Source Software Projects
by: Takei, Yuki, et al.
Published: (2026)
by: Takei, Yuki, et al.
Published: (2026)
An Empirical Study on Method-Level Performance Evolution in Open-Source Java Projects
by: Shahedi, Kaveh, et al.
Published: (2025)
by: Shahedi, Kaveh, et al.
Published: (2025)
Role of CI Adoption in Mobile App Success: An Empirical Study of Open-Source Android Projects
by: Zhou, Xiaoxin, et al.
Published: (2026)
by: Zhou, Xiaoxin, et al.
Published: (2026)
Don't Disturb Me: Challenges of Interacting with SoftwareBots on Open Source Software Projects
by: Wessel, Mairieli, et al.
Published: (2021)
by: Wessel, Mairieli, et al.
Published: (2021)
How are MLOps Frameworks Used in Open Source Projects? An Empirical Characterization
by: Zampetti, Fiorella, et al.
Published: (2026)
by: Zampetti, Fiorella, et al.
Published: (2026)
An Overview and Catalogue of Dependency Challenges in Open Source Software Package Registries
by: Mens, Tom, et al.
Published: (2024)
by: Mens, Tom, et al.
Published: (2024)
A Comprehensive Study on the Impact of Vulnerable Dependencies on Open-Source Software
by: Kumar, Shree Hari Bittugondanahalli Indra, et al.
Published: (2025)
by: Kumar, Shree Hari Bittugondanahalli Indra, et al.
Published: (2025)
Revealing the value of Repository Centrality in lifespan prediction of Open Source Software Projects
by: He, Runzhi, et al.
Published: (2024)
by: He, Runzhi, et al.
Published: (2024)
Studying the Role of Reusing Crowdsourcing Knowledge in Software Development
by: Abdalkareem, Rabe
Published: (2025)
by: Abdalkareem, Rabe
Published: (2025)
How to Sustain a Scientific Open-Source Software Ecosystem: Learning from the Astropy Project
by: Sun, Jiayi, et al.
Published: (2024)
by: Sun, Jiayi, et al.
Published: (2024)
Mining Quantum Software Patterns in Open-Source Projects
by: Ramalho, Neilson Carlos Leite, et al.
Published: (2026)
by: Ramalho, Neilson Carlos Leite, et al.
Published: (2026)
The Product Beyond the Model -- An Empirical Study of Repositories of Open-Source ML Products
by: Nahar, Nadia, et al.
Published: (2023)
by: Nahar, Nadia, et al.
Published: (2023)
A First Look at the General Data Protection Regulation (GDPR) in Open-Source Software
by: Franke, Lucas, et al.
Published: (2024)
by: Franke, Lucas, et al.
Published: (2024)
Guiding Effort Allocation in Open-Source Software Projects Using Bus Factor Analysis
by: Lisan, Aliza, et al.
Published: (2024)
by: Lisan, Aliza, et al.
Published: (2024)
Investigating Code Reuse in Software Redesign: A Case Study
by: Zhang, Xiaowen, et al.
Published: (2026)
by: Zhang, Xiaowen, et al.
Published: (2026)
GenAI-Enabled Backlog Grooming in Agile Software Projects: An Empirical Study
by: Oftebro, Kasper Lien, et al.
Published: (2025)
by: Oftebro, Kasper Lien, et al.
Published: (2025)
Recommending Pre-Trained Models for IoT Devices
by: Patil, Parth V., et al.
Published: (2024)
by: Patil, Parth V., et al.
Published: (2024)
Fixseeker: An Empirical Driven Graph-based Approach for Detecting Silent Vulnerability Fixes in Open Source Software
by: Cheng, Yiran, et al.
Published: (2025)
by: Cheng, Yiran, et al.
Published: (2025)
Advanced System Integration: Analyzing OpenAPI Chunking for Retrieval-Augmented Generation
by: Pesl, Robin D., et al.
Published: (2024)
by: Pesl, Robin D., et al.
Published: (2024)
Understanding the Issue Types in Open Source Blockchain-based Software Projects with the Transformer-based BERTopic
by: Opu, Md Nahidul Islam, et al.
Published: (2025)
by: Opu, Md Nahidul Islam, et al.
Published: (2025)
An ML-based Approach to Predicting Software Change Dependencies: Insights from an Empirical Study on OpenStack
by: Arabat, Ali, et al.
Published: (2025)
by: Arabat, Ali, et al.
Published: (2025)
Similar Items
-
PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software
by: Jiang, Wenxin, et al.
Published: (2024) -
An Empirical Study of Developers' Challenges in Implementing Workflows as Code: A Case Study on Apache Airflow
by: Yasmin, Jerin, et al.
Published: (2024) -
Reusing Deep Learning Models: Challenges and Directions in Software Engineering
by: Davis, James C., et al.
Published: (2024) -
When AI Models Become Dependencies: Studying the Evolution of Pre-Trained Model Reuse in Downstream Software Systems
by: Banyongrakkul, Peerachai, et al.
Published: (2026) -
An Empirical Investigation of Pre-Trained Deep Learning Model Reuse in the Scientific Process
by: Synovic, Nicholas M., et al.
Published: (2026)