Enhancing software product lines with machine learning components
Fuente:
arXiv
Saved in:
| Main Authors: | Cobaleda, Luz-Viviana, Carvajal, Julián, Vallejo, Paola, López, Andrés, Mazo, Raúl |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MulTi-Wise Sampling: Trading Uniform T-Wise Feature Interaction Coverage for Smaller Samples
by: Pett, Tobias, et al.
Published: (2024)
by: Pett, Tobias, et al.
Published: (2024)
On the Use of Deep Learning Models for Semantic Clone Detection
by: Pinku, Subroto Nag, et al.
Published: (2024)
by: Pinku, Subroto Nag, et al.
Published: (2024)
CONGRA: Benchmarking Automatic Conflict Resolution
by: Zhang, Qingyu, et al.
Published: (2024)
by: Zhang, Qingyu, et al.
Published: (2024)
A domain-specific language for describing machine learning datasets
by: Giner-Miguelez, Joan, et al.
Published: (2022)
by: Giner-Miguelez, Joan, et al.
Published: (2022)
Toward Efficient Testing of Graph Neural Networks via Test Input Prioritization
by: Yang, Lichen, et al.
Published: (2025)
by: Yang, Lichen, et al.
Published: (2025)
Benchmarking Generative AI Models for Deep Learning Test Input Generation
by: Maryam, et al.
Published: (2024)
by: Maryam, et al.
Published: (2024)
A semantic mutation metric for metamorphic relation adequacy in scientific computing programs
by: Li, Meng, et al.
Published: (2026)
by: Li, Meng, et al.
Published: (2026)
SENSOR: An ML-Enhanced Online Annotation Tool to Uncover Privacy Concerns from User Reviews in Social-Media Applications
by: Farah, Labiba, et al.
Published: (2025)
by: Farah, Labiba, et al.
Published: (2025)
Contrasting to spark creativity in software development teams
by: Petre, Marian, et al.
Published: (2025)
by: Petre, Marian, et al.
Published: (2025)
Investigating Autonomous Agent Contributions in the Wild: Activity Patterns and Code Change over Time
by: Popescu, Razvan Mihai, et al.
Published: (2026)
by: Popescu, Razvan Mihai, et al.
Published: (2026)
Improving classifier-based effort-aware software defect prediction by reducing ranking errors
by: Guo, Yuchen, et al.
Published: (2024)
by: Guo, Yuchen, et al.
Published: (2024)
Discovery and Simulation of Data-Aware Business Processes
by: López-Pintado, Orlenys, et al.
Published: (2024)
by: López-Pintado, Orlenys, et al.
Published: (2024)
An LLM-assisted approach to designing software architectures using ADD
by: Cervantes, Humberto, et al.
Published: (2025)
by: Cervantes, Humberto, et al.
Published: (2025)
xML-workFlow: an end-to-end explainable scikit-learn workflow for rapid biomedical experimentation
by: Tran, Khoa A., et al.
Published: (2025)
by: Tran, Khoa A., et al.
Published: (2025)
An empirical study of testing machine learning in the wild
by: Openja, Moses, et al.
Published: (2023)
by: Openja, Moses, et al.
Published: (2023)
A Match Made in Heaven? AI-driven Matching of Vulnerabilities and Security Unit Tests
by: Iannone, Emanuele, et al.
Published: (2025)
by: Iannone, Emanuele, et al.
Published: (2025)
LLM4SCREENLIT: Recommendations on Assessing the Performance of Large Language Models for Screening Literature in Systematic Reviews
by: Madeyski, Lech, et al.
Published: (2025)
by: Madeyski, Lech, et al.
Published: (2025)
Aligning Programming Language and Natural Language: Exploring Design Choices in Multi-Modal Transformer-Based Embedding for Bug Localization
by: Chakraborty, Partha, et al.
Published: (2024)
by: Chakraborty, Partha, et al.
Published: (2024)
Provable Fairness Repair for Deep Neural Networks
by: Ma, Jianan, et al.
Published: (2026)
by: Ma, Jianan, et al.
Published: (2026)
Triage: Routing Software Engineering Tasks to Cost-Effective LLM Tiers via Code Quality Signals
by: Madeyski, Lech
Published: (2026)
by: Madeyski, Lech
Published: (2026)
Estimating Deep Learning energy consumption based on model architecture and training environment
by: del Rey, Santiago, et al.
Published: (2023)
by: del Rey, Santiago, et al.
Published: (2023)
Transfer learning for conflict and duplicate detection in software requirement pairs
by: Malik, Garima, et al.
Published: (2023)
by: Malik, Garima, et al.
Published: (2023)
Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models
by: Zhao, Junda, et al.
Published: (2025)
by: Zhao, Junda, et al.
Published: (2025)
FedCSD: A Federated Learning Based Approach for Code-Smell Detection
by: Alawadi, Sadi, et al.
Published: (2023)
by: Alawadi, Sadi, et al.
Published: (2023)
Testing of Deep Reinforcement Learning Agents with Surrogate Models
by: Biagiola, Matteo, et al.
Published: (2023)
by: Biagiola, Matteo, et al.
Published: (2023)
Enhancing LLM Code Generation Capabilities through Test-Driven Development and Code Interpreter
by: Jalil, Sajed, et al.
Published: (2025)
by: Jalil, Sajed, et al.
Published: (2025)
Don't mention it: An approach to assess challenges to using software mentions for citation and discoverability research
by: Druskat, Stephan, et al.
Published: (2024)
by: Druskat, Stephan, et al.
Published: (2024)
DeepTSF: Codeless machine learning operations for time series forecasting
by: Pelekis, Sotiris, et al.
Published: (2023)
by: Pelekis, Sotiris, et al.
Published: (2023)
In industrial embedded software, are some compilation errors easier to localize and fix than others?
by: Fu, Han, et al.
Published: (2024)
by: Fu, Han, et al.
Published: (2024)
Using Voice and Biofeedback to Predict User Engagement during Product Feedback Interviews
by: Ferrari, Alessio, et al.
Published: (2021)
by: Ferrari, Alessio, et al.
Published: (2021)
Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain
by: Min, Marcus J., et al.
Published: (2023)
by: Min, Marcus J., et al.
Published: (2023)
The Explabox: Model-Agnostic Machine Learning Transparency & Analysis
by: Robeer, Marcel, et al.
Published: (2024)
by: Robeer, Marcel, et al.
Published: (2024)
LibLMFuzz: LLM-Augmented Fuzz Target Generation for Black-box Libraries
by: Hardgrove, Ian, et al.
Published: (2025)
by: Hardgrove, Ian, et al.
Published: (2025)
The Range Shrinks, the Threat Remains: Re-evaluating LLM Package Hallucinations on the 2026 Frontier-Model Cohort
by: Churilov, Aleksandr
Published: (2026)
by: Churilov, Aleksandr
Published: (2026)
Icing on the Cake: Automatic Code Summarization at Ericsson
by: Sridhara, Giriprasad, et al.
Published: (2024)
by: Sridhara, Giriprasad, et al.
Published: (2024)
Generative transformations and patterns in LLM-native approaches for software verification and falsification
by: Braberman, Víctor A., et al.
Published: (2024)
by: Braberman, Víctor A., et al.
Published: (2024)
Multicalibration for LLM-based Code Generation
by: Campos, Viola, et al.
Published: (2025)
by: Campos, Viola, et al.
Published: (2025)
Reinforcement Learning for Dynamic Workflow Optimization in CI/CD Pipelines
by: Soni, Aniket Abhishek, et al.
Published: (2026)
by: Soni, Aniket Abhishek, et al.
Published: (2026)
It's Alive! What a Live Object Environment Changes in Software Engineering Practice
by: Grigera, Julián, et al.
Published: (2026)
by: Grigera, Julián, et al.
Published: (2026)
Choosing the Right Git Workflow: A Comparative Analysis of Trunk-based vs. Branch-based Approaches
by: Lopes, Pedro, et al.
Published: (2025)
by: Lopes, Pedro, et al.
Published: (2025)
Similar Items
-
MulTi-Wise Sampling: Trading Uniform T-Wise Feature Interaction Coverage for Smaller Samples
by: Pett, Tobias, et al.
Published: (2024) -
On the Use of Deep Learning Models for Semantic Clone Detection
by: Pinku, Subroto Nag, et al.
Published: (2024) -
CONGRA: Benchmarking Automatic Conflict Resolution
by: Zhang, Qingyu, et al.
Published: (2024) -
A domain-specific language for describing machine learning datasets
by: Giner-Miguelez, Joan, et al.
Published: (2022) -
Toward Efficient Testing of Graph Neural Networks via Test Input Prioritization
by: Yang, Lichen, et al.
Published: (2025)