Proto-ML: An IDE for ML Solution Prototyping
Fuente:
arXiv
Guardado en:
| Autores principales: | Coban, Selin, Perez, Miguel, Lichter, Horst |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
A Flexible Cell Classification for ML Projects in Jupyter Notebooks
por: Perez, Miguel, et al.
Publicado: (2024)
por: Perez, Miguel, et al.
Publicado: (2024)
Gamified GUI testing with Selenium in the IntelliJ IDE: A Prototype Plugin
por: Garaccione, Giacomo, et al.
Publicado: (2024)
por: Garaccione, Giacomo, et al.
Publicado: (2024)
SecuRe -- An Approach to Recommending Security Design Patterns
por: Sabau, Alex R., et al.
Publicado: (2025)
por: Sabau, Alex R., et al.
Publicado: (2025)
Can ChatGPT Generate Realistic Synthetic System Requirement Specifications? Results of a Case Study
por: Mattukat, Alex R., et al.
Publicado: (2026)
por: Mattukat, Alex R., et al.
Publicado: (2026)
What do AI/ML practitioners think about AI/ML bias?
por: Pant, Aastha, et al.
Publicado: (2024)
por: Pant, Aastha, et al.
Publicado: (2024)
Performance Smells in ML and Non-ML Python Projects: A Comparative Study
por: Belias, François, et al.
Publicado: (2025)
por: Belias, François, et al.
Publicado: (2025)
Challenges in Developing Secure Software -- Results of an Interview Study in the German Software Industry
por: Mattukat, Alex R., et al.
Publicado: (2025)
por: Mattukat, Alex R., et al.
Publicado: (2025)
Self-Admitted Technical Debt in LLM Software: An Empirical Comparison with ML and Non-ML Software
por: Selvanayagam, Niruthiha, et al.
Publicado: (2026)
por: Selvanayagam, Niruthiha, et al.
Publicado: (2026)
Buggin: Automatic intrinsic bugs classification model using NLP and ML
por: Bhandari, Pragya, et al.
Publicado: (2025)
por: Bhandari, Pragya, et al.
Publicado: (2025)
Optimizing an IDE for an Evolving Language Ecosystem
por: Welc, Adam, et al.
Publicado: (2026)
por: Welc, Adam, et al.
Publicado: (2026)
Control Models for In-IDE Code Completion
por: de Moor, Aral, et al.
Publicado: (2026)
por: de Moor, Aral, et al.
Publicado: (2026)
An IDE Plugin for Gamified Continuous Integration
por: Straubinger, Philipp, et al.
Publicado: (2024)
por: Straubinger, Philipp, et al.
Publicado: (2024)
Impact of ML Optimization Tactics on Greener Pre-Trained ML Models
por: Álvarez, Alexandra González, et al.
Publicado: (2024)
por: Álvarez, Alexandra González, et al.
Publicado: (2024)
Uncertainty Modeling for SysML v2
por: Zhang, Man, et al.
Publicado: (2026)
por: Zhang, Man, et al.
Publicado: (2026)
When Code Smells Meet ML: On the Lifecycle of ML-specific Code Smells in ML-enabled Systems
por: Recupito, Gilberto, et al.
Publicado: (2024)
por: Recupito, Gilberto, et al.
Publicado: (2024)
ML-Dev-Bench: Comparative Analysis of AI Agents on ML development workflows
por: Padigela, Harshith, et al.
Publicado: (2025)
por: Padigela, Harshith, et al.
Publicado: (2025)
LoCoML: A Framework for Real-World ML Inference Pipelines
por: Maddireddy, Kritin, et al.
Publicado: (2025)
por: Maddireddy, Kritin, et al.
Publicado: (2025)
GAISSALabel: A tool for energy labeling of ML models
por: Duran, Pau, et al.
Publicado: (2024)
por: Duran, Pau, et al.
Publicado: (2024)
iML: Executable, Problem-Grounded, and Broadly Exploratory Code-Driven AutoML
por: Le, Dat, et al.
Publicado: (2026)
por: Le, Dat, et al.
Publicado: (2026)
Trigram-Based Persistent IDE Indices with Quick Startup
por: Iakovlev, Zakhar, et al.
Publicado: (2024)
por: Iakovlev, Zakhar, et al.
Publicado: (2024)
Runtime-Augmented LLMs for Crash Detection and Diagnosis in ML Notebooks
por: Wang, Yiran, et al.
Publicado: (2026)
por: Wang, Yiran, et al.
Publicado: (2026)
SmartML: Towards a Modeling Language for Smart Contracts
por: Veschetti, Adele, et al.
Publicado: (2024)
por: Veschetti, Adele, et al.
Publicado: (2024)
A quantitative framework for evaluating architectural patterns in ML systems
por: Emanuilov, Simeon, et al.
Publicado: (2025)
por: Emanuilov, Simeon, et al.
Publicado: (2025)
SWITCH: An Exemplar for Evaluating Self-Adaptive ML-Enabled Systems
por: Marda, Arya, et al.
Publicado: (2024)
por: Marda, Arya, et al.
Publicado: (2024)
Industrial Practices of Requirements Engineering for ML-Enabled Systems in Brazil
por: Alves, Antonio Pedro Santos, et al.
Publicado: (2024)
por: Alves, Antonio Pedro Santos, et al.
Publicado: (2024)
MuSe: a Mutation Testing Plugin for the Remix IDE
por: Iuliano, Gerardo, et al.
Publicado: (2026)
por: Iuliano, Gerardo, et al.
Publicado: (2026)
Towards Formalising Stakeholder Context using SysML v2
por: Harrison, Matthew, et al.
Publicado: (2026)
por: Harrison, Matthew, et al.
Publicado: (2026)
ML-Enabled Systems Model Deployment and Monitoring: Status Quo and Problems
por: Zimelewicz, Eduardo, et al.
Publicado: (2024)
por: Zimelewicz, Eduardo, et al.
Publicado: (2024)
Extending SOUP to ML Models When DesigningCertified Medical Systems
por: Stirbu, Vlad, et al.
Publicado: (2021)
por: Stirbu, Vlad, et al.
Publicado: (2021)
Ensuring Robustness in ML-enabled Software Systems: A User Survey
por: Abdelkader, Hala, et al.
Publicado: (2025)
por: Abdelkader, Hala, et al.
Publicado: (2025)
LLM meets ML: Data-efficient Anomaly Detection on Unstable Logs
por: Hadadi, Fatemeh, et al.
Publicado: (2024)
por: Hadadi, Fatemeh, et al.
Publicado: (2024)
Sentiment Analysis of ML Projects: Bridging Emotional Intelligence and Code Quality
por: Ahmed, Md Shoaib, et al.
Publicado: (2024)
por: Ahmed, Md Shoaib, et al.
Publicado: (2024)
A Faceted Classification of Authenticator-Centric Authentication Techniques
por: Mattukat, Alex R., et al.
Publicado: (2026)
por: Mattukat, Alex R., et al.
Publicado: (2026)
IDE-Bench: Evaluating Large Language Models as IDE Agents on Real-World Software Engineering Tasks
por: Mateega, Spencer, et al.
Publicado: (2026)
por: Mateega, Spencer, et al.
Publicado: (2026)
Pre-AI Baseline: Developer IDE Satisfaction and Tool Autonomy in 2022
por: Balić, Nikola
Publicado: (2026)
por: Balić, Nikola
Publicado: (2026)
I3DE: An IDE for Inspecting Inconsistencies in PL/SQL Code
por: Liu, Jiangshan, et al.
Publicado: (2024)
por: Liu, Jiangshan, et al.
Publicado: (2024)
Comparing ML-Specific and General Python Code Smells Across Project Characteristics
por: Agh, Halimeh, et al.
Publicado: (2026)
por: Agh, Halimeh, et al.
Publicado: (2026)
Contextual Fairness-Aware Practices in ML: A Cost-Effective Empirical Evaluation
por: Parziale, Alessandra, et al.
Publicado: (2025)
por: Parziale, Alessandra, et al.
Publicado: (2025)
A Comprehensive Multi-Vocal Empirical Study of ML Cloud Service Misuses
por: Amor, Hadil Ben, et al.
Publicado: (2025)
por: Amor, Hadil Ben, et al.
Publicado: (2025)
Optimizing Code Embeddings and ML Classifiers for Python Source Code Vulnerability Detection
por: Farasat, Talaya, et al.
Publicado: (2025)
por: Farasat, Talaya, et al.
Publicado: (2025)
Ejemplares similares
-
A Flexible Cell Classification for ML Projects in Jupyter Notebooks
por: Perez, Miguel, et al.
Publicado: (2024) -
Gamified GUI testing with Selenium in the IntelliJ IDE: A Prototype Plugin
por: Garaccione, Giacomo, et al.
Publicado: (2024) -
SecuRe -- An Approach to Recommending Security Design Patterns
por: Sabau, Alex R., et al.
Publicado: (2025) -
Can ChatGPT Generate Realistic Synthetic System Requirement Specifications? Results of a Case Study
por: Mattukat, Alex R., et al.
Publicado: (2026) -
What do AI/ML practitioners think about AI/ML bias?
por: Pant, Aastha, et al.
Publicado: (2024)