Commit classification into software maintenance activities: A systematic literature review

T Heričko, B Šumak - 2023 IEEE 47th Annual Computers …, 2023 - ieeexplore.ieee.org
Commits represent an essential part of software development practices, serving as the
means for collaboration and management of software changes made to a software project's …

Analyzing the evolution and maintenance of ml models on hugging face

J Castaño, S Martínez-Fernández… - 2024 IEEE/ACM 21st …, 2024 - ieeexplore.ieee.org
Hugging Face (HF) has established itself as a crucial platform for the development and
sharing of machine learning (ML) models. This repository mining study, which delves into …

Lessons learned from mining the hugging face repository

J Castaño, S Martínez-Fernández… - Proceedings of the 1st …, 2024 - dl.acm.org
The rapidly evolving fields of Machine Learning (ML) and Artificial Intelligence have
witnessed the emergence of platforms like Hugging Face (HF) as central hubs for model …

How do machine learning models change?

J Castaño, R Cabañas, A Salmerón, D Lo… - arXiv preprint arXiv …, 2024 - arxiv.org
The proliferation of Machine Learning (ML) models and their open-source implementations
has transformed Artificial Intelligence research and applications. Platforms like Hugging …

COLARE: Commit Classification via Fine-grained Context-aware Representation of Code Changes

Q Zeng, Y Zhang, Z Sun, Y Guo… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Commit classification for maintenance activities is of critical importance for both industry and
academia. State-of-the-art approaches either treat code changes as plain text or rely on …

Boosting Commit Classification with Contrastive Learning

J Tong, Z Wang, X Rui - arXiv preprint arXiv:2308.08263, 2023 - arxiv.org
Commit Classification (CC) is an important task in software maintenance, which helps
software developers classify code changes into different types according to their nature and …

Automatic issue classifier: A transfer learning framework for classifying issue reports

A Nadeem, MU Sarwar, MZ Malik - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Issue tracking systems are used in the software industry for the facilitation of maintenance
activities that keep the software robust and up to date with ever-changing industry …

An Empirical Study on Learning-based Techniques for Explicit and Implicit Commit Messages Generation

Z Huang, Y Huang, X Chen, X Zhou, C Yang… - Proceedings of the 39th …, 2024 - dl.acm.org
High-quality and appropriate commit messages help developers to quickly understand and
track code evolution, which is crucial for the collaborative development and maintenance of …

[PDF][PDF] Commit classification into maintenance activities using aggregated semantic word embeddings of software change messages

T Heričko, S Brdnik, B Šumak - Proceedings http://ceur-ws. org ISSN, 2022 - academia.edu
Every change to a software repository (ie, commit) is described by a software developer
committing the change with a message written in natural language, indicating the purpose of …

Use the Forks, Look! Visualizations for Exploring Fork Ecosystems

S Chen, L Cleophas, S Schulze… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Forking is a common practice in open-source and industrial software development, leading
to the emergence of complex fork ecosystems. Understanding the evolution and …