Hi all!
I’m working on my master’s thesis (software engineering) comparing SNN vs traditional ML integration for log anomaly detection from a software engineering perspective.
Research Topic:
This survey is part of a research study focused on Machine Learning practices, challenges, and user perspectives. The goal is to gather insights that will support ongoing academic research and contribute to improving ML-related tools and methodologies.
Target Audience:
The survey is intended for individuals with any level of experience in Machine Learning, including:
Students
Researchers
Data Scientists
ML Engineers
Practitioners working with AI/ML workflows
Estimated Time to Complete:
The survey takes approximately 3–5 minutes to complete
Looking for insights from anyone with ML/SNN integration experience on aspects like maintainability, deployment, and production readiness. Thanks for your time and support!