Editing Research:Question-38-AI-Development-Quality-Impact (section)

=== Longitudinal Quality Tracking ===

The research employs comprehensive longitudinal studies tracking software quality evolution in AI-assisted development environments:

'''Baseline Quality Assessment:''' Pre-AI implementation measurement of code quality metrics, maintainability indicators, and technical debt levels across 50+ software projects.

'''Implementation Period Monitoring:''' Real-time tracking of quality metrics during AI tool adoption, including immediate changes and adaptation period effects.

'''Long-term Quality Evolution:''' Extended tracking of quality trends 12-24 months post-AI implementation to identify sustained impacts and emerging patterns.

'''Comparative Analysis:''' Parallel tracking of similar projects without AI assistance to establish control group comparisons and isolate AI-specific effects.