From Technical Excellence to Practical Adoption: Lessons Learned Building an ML-Enhanced Trace Analysis Tool
Fuente:
arXiv
Guardado en:
| Autores principales: | Shahedi, Kaveh, Khouzam, Matthew, Li, Heng, Lamothe, Maxime, Khomh, Foutse |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Tracing Optimization for Performance Modeling and Regression Detection
por: Shahedi, Kaveh, et al.
Publicado: (2024)
por: Shahedi, Kaveh, et al.
Publicado: (2024)
An Empirical Study on Method-Level Performance Evolution in Open-Source Java Projects
por: Shahedi, Kaveh, et al.
Publicado: (2025)
por: Shahedi, Kaveh, et al.
Publicado: (2025)
RefAgent: A Multi-agent LLM-based Framework for Automatic Software Refactoring
por: Oueslati, Khouloud, et al.
Publicado: (2025)
por: Oueslati, Khouloud, et al.
Publicado: (2025)
Mining Action Rules for Defect Reduction Planning
por: Oueslati, Khouloud, et al.
Publicado: (2024)
por: Oueslati, Khouloud, et al.
Publicado: (2024)
Protecting Privacy in Software Logs: What Should Be Anonymized?
por: Aghili, Roozbeh, et al.
Publicado: (2024)
por: Aghili, Roozbeh, 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)
An Empirical Study of Self-Admitted Technical Debt in Machine Learning Software
por: Bhatia, Aaditya, et al.
Publicado: (2023)
por: Bhatia, Aaditya, et al.
Publicado: (2023)
On the Effectiveness of Log Representation for Log-based Anomaly Detection
por: Wu, Xingfang, et al.
Publicado: (2023)
por: Wu, Xingfang, et al.
Publicado: (2023)
Understanding Web Application Workloads and Their Applications: Systematic Literature Review and Characterization
por: Aghili, Roozbeh, et al.
Publicado: (2024)
por: Aghili, Roozbeh, et al.
Publicado: (2024)
Adversarial Attack Classification and Robustness Testing for Large Language Models for Code
por: Liu, Yang, et al.
Publicado: (2025)
por: Liu, Yang, et al.
Publicado: (2025)
An Empirical Study of Policy-as-Code Adoption in Open-Source Software Projects
por: Foalem, Patrick Loic, et al.
Publicado: (2026)
por: Foalem, Patrick Loic, et al.
Publicado: (2026)
SDLog: A Deep Learning Framework for Detecting Sensitive Information in Software Logs
por: Aghili, Roozbeh, et al.
Publicado: (2025)
por: Aghili, Roozbeh, et al.
Publicado: (2025)
What Information Contributes to Log-based Anomaly Detection? Insights from a Configurable Transformer-Based Approach
por: Wu, Xingfang, et al.
Publicado: (2024)
por: Wu, Xingfang, et al.
Publicado: (2024)
Refining GPT-3 Embeddings with a Siamese Structure for Technical Post Duplicate Detection
por: Wu, Xingfang, et al.
Publicado: (2023)
por: Wu, Xingfang, et al.
Publicado: (2023)
Tracing Stereotypes in Pre-trained Transformers: From Biased Neurons to Fairer Models
por: Voria, Gianmario, et al.
Publicado: (2026)
por: Voria, Gianmario, et al.
Publicado: (2026)
An Efficient Model Maintenance Approach for MLOps
por: Majidi, Forough, et al.
Publicado: (2024)
por: Majidi, Forough, et al.
Publicado: (2024)
Empirical Characterization of Logging Smells in Machine Learning Code
por: Foalem, Patrick Loic, et al.
Publicado: (2026)
por: Foalem, Patrick Loic, et al.
Publicado: (2026)
Empirical Characterization of Logging Smells in Machine Learning Code
por: Foalem, Patrick Loic, et al.
Publicado: (2026)
por: Foalem, Patrick Loic, et al.
Publicado: (2026)
Improving the Robustness of Large Language Models for Code Tasks via Fine-tuning with Perturbed Data
por: Liu, Yang, et al.
Publicado: (2026)
por: Liu, Yang, et al.
Publicado: (2026)
Structural Anchors and Reasoning Fragility:Understanding CoT Robustness in LLM4Code
por: Liu, Yang, et al.
Publicado: (2026)
por: Liu, Yang, et al.
Publicado: (2026)
QMon: Monitoring the Execution of Quantum Circuits with Mid-Circuit Measurement and Reset
por: Ma, Ning, et al.
Publicado: (2025)
por: Ma, Ning, et al.
Publicado: (2025)
Logging Requirement for Continuous Auditing of Responsible Machine Learning-based Applications
por: Foalem, Patrick Loic, et al.
Publicado: (2025)
por: Foalem, Patrick Loic, et al.
Publicado: (2025)
Mitigating False Positives in Static Memory Safety Analysis of Rust Programs via Reinforcement Learning
por: P, Akilesh, et al.
Publicado: (2026)
por: P, Akilesh, et al.
Publicado: (2026)
Towards Enhancing the Reproducibility of Deep Learning Bugs: An Empirical Study
por: Shah, Mehil B., et al.
Publicado: (2024)
por: Shah, Mehil B., et al.
Publicado: (2024)
GIST: Generated Inputs Sets Transferability in Deep Learning
por: Tambon, Florian, et al.
Publicado: (2023)
por: Tambon, Florian, et al.
Publicado: (2023)
Leveraging Data Characteristics for Bug Localization in Deep Learning Programs
por: Manke, Ruchira, et al.
Publicado: (2024)
por: Manke, Ruchira, et al.
Publicado: (2024)
Towards Understanding the Impact of Data Bugs on Deep Learning Models in Software Engineering
por: Shah, Mehil B, et al.
Publicado: (2024)
por: Shah, Mehil B, et al.
Publicado: (2024)
Mock Deep Testing: Toward Separate Development of Data and Models for Deep Learning
por: Manke, Ruchira, et al.
Publicado: (2025)
por: Manke, Ruchira, et al.
Publicado: (2025)
Machine Learning Robustness: A Primer
por: Braiek, Houssem Ben, et al.
Publicado: (2024)
por: Braiek, Houssem Ben, et al.
Publicado: (2024)
Real Faults in Model Context Protocol (MCP) Software: a Comprehensive Taxonomy
por: Taraghi, Mina, et al.
Publicado: (2026)
por: Taraghi, Mina, et al.
Publicado: (2026)
Evaluating and Enhancing Segmentation Model Robustness with Metamorphic Testing
por: Mzoughi, Seif, et al.
Publicado: (2025)
por: Mzoughi, Seif, et al.
Publicado: (2025)
Exploring Security Practices in Infrastructure as Code: An Empirical Study
por: Verdet, Alexandre, et al.
Publicado: (2023)
por: Verdet, Alexandre, et al.
Publicado: (2023)
Fault Localization in Deep Learning-based Software: A System-level Approach
por: Morovati, Mohammad Mehdi, et al.
Publicado: (2024)
por: Morovati, Mohammad Mehdi, et al.
Publicado: (2024)
Trained Without My Consent: Detecting Code Inclusion In Language Models Trained on Code
por: Majdinasab, Vahid, et al.
Publicado: (2024)
por: Majdinasab, Vahid, et al.
Publicado: (2024)
PathOCL: Path-Based Prompt Augmentation for OCL Generation with GPT-4
por: Abukhalaf, Seif, et al.
Publicado: (2024)
por: Abukhalaf, Seif, et al.
Publicado: (2024)
Reputation Gaming in Stack Overflow
por: Mazloomzadeh, Iren, et al.
Publicado: (2021)
por: Mazloomzadeh, Iren, et al.
Publicado: (2021)
Continuously Learning Bug Locations
por: Mindom, Paulina Stevia Nouwou, et al.
Publicado: (2024)
por: Mindom, Paulina Stevia Nouwou, et al.
Publicado: (2024)
An Empirical Study on Logging Evolution On Stack Overflow: Trends, Topics, and Challenges
por: Foalem, Patrick Loic, et al.
Publicado: (2026)
por: Foalem, Patrick Loic, et al.
Publicado: (2026)
Common Challenges of Deep Reinforcement Learning Applications Development: An Empirical Study
por: Morovati, Mohammad Mehdi, et al.
Publicado: (2023)
por: Morovati, Mohammad Mehdi, et al.
Publicado: (2023)
LLMs and Stack Overflow Discussions: Reliability, Impact, and Challenges
por: Da Silva, Leuson, et al.
Publicado: (2024)
por: Da Silva, Leuson, et al.
Publicado: (2024)
Ejemplares similares
-
Tracing Optimization for Performance Modeling and Regression Detection
por: Shahedi, Kaveh, et al.
Publicado: (2024) -
An Empirical Study on Method-Level Performance Evolution in Open-Source Java Projects
por: Shahedi, Kaveh, et al.
Publicado: (2025) -
RefAgent: A Multi-agent LLM-based Framework for Automatic Software Refactoring
por: Oueslati, Khouloud, et al.
Publicado: (2025) -
Mining Action Rules for Defect Reduction Planning
por: Oueslati, Khouloud, et al.
Publicado: (2024) -
Protecting Privacy in Software Logs: What Should Be Anonymized?
por: Aghili, Roozbeh, et al.
Publicado: (2024)