Cover Image

Addressing Quality Challenges in Deep Learning: The Role of MLOps and Domain Knowledge

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	del Rey, Santiago, Medina, Adrià, Franch, Xavier, Martínez-Fernández, Silverio
Format:	Preprint
Published:	2025
Subjects:	Software Engineering Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Innovating for Tomorrow: The Convergence of SE and Green AI
by: Cruz, Luís, et al.
Published: (2024)

Analyzing the Evolution and Maintenance of ML Models on Hugging Face
by: Castaño, Joel, et al.
Published: (2023)

Towards a Classification of Open-Source ML Models and Datasets for Software Engineering
by: González, Alexandra, et al.
Published: (2024)

Guiding the retraining of convolutional neural networks against adversarial inputs
by: López, Francisco Durán, et al.
Published: (2022)

Estimating Deep Learning energy consumption based on model architecture and training environment
by: del Rey, Santiago, et al.
Published: (2023)

Dissecting the SWE-Bench Leaderboards: Profiling Submitters and Architectures of LLM- and Agent-Based Repair Systems
by: Martinez, Matias, et al.
Published: (2025)

Energy Consumption of Automated Program Repair
by: Martinez, Matias, et al.
Published: (2022)

SmartMLOps Studio: Design of an LLM-Integrated IDE with Automated MLOps Pipelines for Model Development and Monitoring
by: Jin, Jiawei, et al.
Published: (2025)

SEMODS: A Validated Dataset of Open-Source Software Engineering Models
by: González, Alexandra, et al.
Published: (2026)

Lessons Learned from Mining the Hugging Face Repository
by: Castaño, Joel, et al.
Published: (2024)

Application Modernization with LLMs: Addressing Core Challenges in Reliability, Security, and Quality
by: Ponnusamy, Ahilan Ayyachamy Nadar
Published: (2025)

Engineering AI Agents for Clinical Workflows: A Case Study in Architecture,MLOps, and Governance
by: Lopes, Cláudio Lúcio do Val, et al.
Published: (2026)

A Tool for Automatically Cataloguing and Selecting Pre-Trained Models and Datasets for Software Engineering
by: González, Alexandra, et al.
Published: (2026)

Aggregating empirical evidence from data strategy studies: a case on model quantization
by: del Rey, Santiago, et al.
Published: (2025)

Quality Assurance of LLM-generated Code: Addressing Non-Functional Quality Characteristics
by: Sun, Xin, et al.
Published: (2025)

Automating Code Adaptation for MLOps -- A Benchmarking Study on LLMs
by: Patel, Harsh, et al.
Published: (2024)

Deep Learning Library Testing: Definition, Methods and Challenges
by: Zhang, Xiaoyu, et al.
Published: (2024)

Insights into resource utilization of code small language models serving with runtime engines and execution providers
by: Durán, Francisco, et al.
Published: (2024)

Cataloguing Hugging Face Models to Software Engineering Activities: Automation and Findings
by: González, Alexandra, et al.
Published: (2025)

Knowledge-Guided Prompt Learning for Request Quality Assurance in Public Code Review
by: Li, Lin, et al.
Published: (2024)

Revealing Domain-Spatiality Patterns for Configuration Tuning: Domain Knowledge Meets Fitness Landscapes
by: Ye, Yulong, et al.
Published: (2026)

A Methodological Framework for LLM-Based Mining of Software Repositories
by: De Martino, Vincenzo, et al.
Published: (2025)

A Framework for Using LLMs for Repository Mining Studies in Empirical Software Engineering
by: de Martino, Vincenzo, et al.
Published: (2024)

KGCompiler: Deep Learning Compilation Optimization for Knowledge Graph Complex Logical Query Answering
by: Lin, Hongyu, et al.
Published: (2025)

Impact of ML Optimization Tactics on Greener Pre-Trained ML Models
by: Álvarez, Alexandra González, et al.
Published: (2024)

Does Model Size Matter? A Comparison of Small and Large Language Models for Requirements Classification
by: Zadenoori, Mohammad Amin, et al.
Published: (2025)

DeepKnowledge: Generalisation-Driven Deep Learning Testing
by: Missaoui, Sondess, et al.
Published: (2024)

Towards Fair Machine Learning Software: Understanding and Addressing Model Bias Through Counterfactual Thinking
by: Wang, Zichong, et al.
Published: (2023)

DomAgent: Leveraging Knowledge Graphs and Case-Based Reasoning for Domain-Specific Code Generation
by: Wang, Shuai, et al.
Published: (2026)

AI-Driven Tools in Modern Software Quality Assurance: An Assessment of Benefits, Challenges, and Future Directions
by: Pysmennyi, Ihor, et al.
Published: (2025)

Quality Model for Machine Learning Components
by: Lewis, Grace A., et al.
Published: (2026)

What's in a Benchmark? The Case of SWE-Bench in Automated Program Repair
by: Martinez, Matias, et al.
Published: (2026)

The More the Merrier? Navigating Accuracy vs. Energy Efficiency Design Trade-Offs in Ensemble Learning Systems
by: Omar, Rafiullah, et al.
Published: (2024)

Beyond the 'Diff': Addressing Agentic Entropy in Agentic Software Development
by: Casserini, Matteo, et al.
Published: (2026)

Towards a Domain-Specific Modelling Environment for Reinforcement Learning
by: Sinani, Natalie, et al.
Published: (2024)

An Empirical Study of Challenges in Machine Learning Asset Management
by: Zhao, Zhimin, et al.
Published: (2024)

The Role of Artificial Intelligence and Machine Learning in Software Testing
by: Ramadan, Ahmed, et al.
Published: (2024)

KADEL: Knowledge-Aware Denoising Learning for Commit Message Generation
by: Tao, Wei, et al.
Published: (2024)

On Security Weaknesses and Vulnerabilities in Deep Learning Systems
by: Lai, Zhongzheng, et al.
Published: (2024)

Challenges and Experiences of Iranian Developers with MLOps at Enterprise
by: Heydari, Mohammad, et al.
Published: (2024)