An Empirical Study on Logging Evolution On Stack Overflow: Trends, Topics, and Challenges
Fuente:
arXiv
Saved in:
| Main Authors: | Foalem, Patrick Loic, Nguimbous, Andre, Khomh, Foutse, Li, Heng, Merlo, Ettore |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Empirical Characterization of Logging Smells in Machine Learning Code
by: Foalem, Patrick Loic, et al.
Published: (2026)
by: Foalem, Patrick Loic, et al.
Published: (2026)
Empirical Characterization of Logging Smells in Machine Learning Code
by: Foalem, Patrick Loic, et al.
Published: (2026)
by: Foalem, Patrick Loic, et al.
Published: (2026)
An Empirical Study of Policy-as-Code Adoption in Open-Source Software Projects
by: Foalem, Patrick Loic, et al.
Published: (2026)
by: Foalem, Patrick Loic, et al.
Published: (2026)
Logging Requirement for Continuous Auditing of Responsible Machine Learning-based Applications
by: Foalem, Patrick Loic, et al.
Published: (2025)
by: Foalem, Patrick Loic, et al.
Published: (2025)
LLMs and Stack Overflow Discussions: Reliability, Impact, and Challenges
by: Da Silva, Leuson, et al.
Published: (2024)
by: Da Silva, Leuson, et al.
Published: (2024)
Reputation Gaming in Stack Overflow
by: Mazloomzadeh, Iren, et al.
Published: (2021)
by: Mazloomzadeh, Iren, et al.
Published: (2021)
Protecting Privacy in Software Logs: What Should Be Anonymized?
by: Aghili, Roozbeh, et al.
Published: (2024)
by: Aghili, Roozbeh, et al.
Published: (2024)
On the Effectiveness of Log Representation for Log-based Anomaly Detection
by: Wu, Xingfang, et al.
Published: (2023)
by: Wu, Xingfang, et al.
Published: (2023)
Hot Topics and Common Challenges: an Empirical Study of React Discussions on Stack Overflow
by: Nugroho, Yusuf Sulistyo, et al.
Published: (2025)
by: Nugroho, Yusuf Sulistyo, et al.
Published: (2025)
An Empirical Study on Method-Level Performance Evolution in Open-Source Java Projects
by: Shahedi, Kaveh, et al.
Published: (2025)
by: Shahedi, Kaveh, et al.
Published: (2025)
What Information Contributes to Log-based Anomaly Detection? Insights from a Configurable Transformer-Based Approach
by: Wu, Xingfang, et al.
Published: (2024)
by: Wu, Xingfang, et al.
Published: (2024)
SDLog: A Deep Learning Framework for Detecting Sensitive Information in Software Logs
by: Aghili, Roozbeh, et al.
Published: (2025)
by: Aghili, Roozbeh, et al.
Published: (2025)
Common Challenges of Deep Reinforcement Learning Applications Development: An Empirical Study
by: Morovati, Mohammad Mehdi, et al.
Published: (2023)
by: Morovati, Mohammad Mehdi, et al.
Published: (2023)
Decompiling Rust: An Empirical Study of Compiler Optimizations and Reverse Engineering Challenges
by: Zhou, Zixu
Published: (2025)
by: Zhou, Zixu
Published: (2025)
Refining GPT-3 Embeddings with a Siamese Structure for Technical Post Duplicate Detection
by: Wu, Xingfang, et al.
Published: (2023)
by: Wu, Xingfang, et al.
Published: (2023)
Plug it and Play on Logs: A Configuration-Free Statistic-Based Log Parser
by: Qin, Qiaolin, et al.
Published: (2025)
by: Qin, Qiaolin, et al.
Published: (2025)
An Empirical Study of Self-Admitted Technical Debt in Machine Learning Software
by: Bhatia, Aaditya, et al.
Published: (2023)
by: Bhatia, Aaditya, et al.
Published: (2023)
Mobile App Security Trends and Topics: An Examination of Questions From Stack Overflow
by: Huo, Timothy, et al.
Published: (2024)
by: Huo, Timothy, et al.
Published: (2024)
Is Stack Overflow Obsolete? An Empirical Study of the Characteristics of ChatGPT Answers to Stack Overflow Questions
by: Kabir, Samia, et al.
Published: (2023)
by: Kabir, Samia, et al.
Published: (2023)
Exploring Accessibility Trends and Challenges in Mobile App Development: A Study of Stack Overflow Questions
by: Indika, Amila, et al.
Published: (2024)
by: Indika, Amila, et al.
Published: (2024)
Towards Enhancing the Reproducibility of Deep Learning Bugs: An Empirical Study
by: Shah, Mehil B., et al.
Published: (2024)
by: Shah, Mehil B., et al.
Published: (2024)
Characterizing and Classifying Developer Forum Posts with their Intentions
by: Wu, Xingfang, et al.
Published: (2023)
by: Wu, Xingfang, et al.
Published: (2023)
Understanding Web Application Workloads and Their Applications: Systematic Literature Review and Characterization
by: Aghili, Roozbeh, et al.
Published: (2024)
by: Aghili, Roozbeh, et al.
Published: (2024)
Adversarial Attack Classification and Robustness Testing for Large Language Models for Code
by: Liu, Yang, et al.
Published: (2025)
by: Liu, Yang, et al.
Published: (2025)
Energy-Efficient Software Development: A Multi-dimensional Empirical Analysis of Stack Overflow
by: Jin, Bihui, et al.
Published: (2024)
by: Jin, Bihui, et al.
Published: (2024)
Exploring Security Practices in Infrastructure as Code: An Empirical Study
by: Verdet, Alexandre, et al.
Published: (2023)
by: Verdet, Alexandre, et al.
Published: (2023)
The Stackage Repository: An Exploratory Study of its Evolution
by: Leger, Paul, et al.
Published: (2023)
by: Leger, Paul, et al.
Published: (2023)
Tracing Optimization for Performance Modeling and Regression Detection
by: Shahedi, Kaveh, et al.
Published: (2024)
by: Shahedi, Kaveh, et al.
Published: (2024)
An Empirical Study of Java Code Improvements Based on Stack Overflow Answer Edits
by: Wiratsin, In-on, et al.
Published: (2025)
by: Wiratsin, In-on, et al.
Published: (2025)
Catalpa: GC for a Low-Variance Software Stack
by: Arnold, Anthony, et al.
Published: (2025)
by: Arnold, Anthony, et al.
Published: (2025)
An Empirical Study of OpenAI API Discussions on Stack Overflow
by: Chen, Xiang, et al.
Published: (2025)
by: Chen, Xiang, et al.
Published: (2025)
Studying and Recommending Information Highlighting in Stack Overflow Answers
by: Ahmed, Shahla Shaan, et al.
Published: (2024)
by: Ahmed, Shahla Shaan, et al.
Published: (2024)
Evaluate the Stack Management in Effect Handlers using the libseff C Library
by: Yu, ZeHao
Published: (2025)
by: Yu, ZeHao
Published: (2025)
What Challenges Do Developers Face in AI Agent Systems? An Empirical Study on Stack Overflow & GitHub Issues
by: Asgari, Ali, et al.
Published: (2025)
by: Asgari, Ali, et al.
Published: (2025)
CodeInsight: A Curated Dataset of Practical Coding Solutions from Stack Overflow
by: Beau, Nathanaël, et al.
Published: (2024)
by: Beau, Nathanaël, et al.
Published: (2024)
How Do Users Revise Architectural Related Questions on Stack Overflow: An Empirical Study
by: de Dieu, Musengamana Jean, et al.
Published: (2024)
by: de Dieu, Musengamana Jean, et al.
Published: (2024)
An Empirical Study on the Performance and Energy Usage of Compiled Python Code
by: Stoico, Vincenzo, et al.
Published: (2025)
by: Stoico, Vincenzo, et al.
Published: (2025)
An Efficient Model Maintenance Approach for MLOps
by: Majidi, Forough, et al.
Published: (2024)
by: Majidi, Forough, et al.
Published: (2024)
Improving the Robustness of Large Language Models for Code Tasks via Fine-tuning with Perturbed Data
by: Liu, Yang, et al.
Published: (2026)
by: Liu, Yang, et al.
Published: (2026)
Structural Anchors and Reasoning Fragility:Understanding CoT Robustness in LLM4Code
by: Liu, Yang, et al.
Published: (2026)
by: Liu, Yang, et al.
Published: (2026)
Similar Items
-
Empirical Characterization of Logging Smells in Machine Learning Code
by: Foalem, Patrick Loic, et al.
Published: (2026) -
Empirical Characterization of Logging Smells in Machine Learning Code
by: Foalem, Patrick Loic, et al.
Published: (2026) -
An Empirical Study of Policy-as-Code Adoption in Open-Source Software Projects
by: Foalem, Patrick Loic, et al.
Published: (2026) -
Logging Requirement for Continuous Auditing of Responsible Machine Learning-based Applications
by: Foalem, Patrick Loic, et al.
Published: (2025) -
LLMs and Stack Overflow Discussions: Reliability, Impact, and Challenges
by: Da Silva, Leuson, et al.
Published: (2024)