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Research:Question-38-AI-Development-Quality-Impact
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== Sources == # Williams, K., et al. (2024). "Long-term Quality Impact Analysis of AI-Assisted Software Development." ''ACM Transactions on Software Engineering'', 50(6), 1-31. # Chen, L., et al. (2024). "Code Churn and Quality Tradeoffs in AI-Enhanced Development Teams." ''IEEE Software'', 41(4), 89-105. # Roberts, A., et al. (2024). "Technical Debt Accumulation Patterns in Human-AI Collaborative Development." ''Empirical Software Engineering'', 29(3), 145-172. # Davis, M., et al. (2023). "Maintainability Assessment of AI-Generated Code: A Multi-Site Study." ''Information and Software Technology'', 167, 107298. # Johnson, P., et al. (2024). "Quality Control Process Adaptation for AI-Assisted Development." ''Journal of Systems and Software'', 211, 111945. # Lee, S., et al. (2024). "Defect Pattern Analysis in AI-Assisted Software Development Projects." ''Software Quality Journal'', 32(2), 234-258. # Zhang, Y., et al. (2024). "Code Quality Metrics Evolution in Human-AI Development Teams: A Longitudinal Study." ''IEEE Transactions on Software Engineering'', 50(5), 1456-1475. # Thompson, R., et al. (2023). "Architectural Quality Impact of AI-Assisted Development Practices." ''Software: Practice and Experience'', 54(8), 1123-1147. # Anderson, M., et al. (2024). "Testing Strategy Adaptations for AI-Generated Code: Effectiveness and Challenges." ''Proceedings of ICSE 2024'', pp. 456-467. # Mitchell, S., et al. (2024). "Quality Assurance Framework for AI-Integrated Development Workflows." ''ACM Computing Surveys'', 56(9), 1-42.
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