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Author

Markus Borg

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Book Open access Oct 2026

Prompts Matter: On the Impact of Code Smell Remediation with Large Language Models

Code smells accumulate as technical debt, reducing software maintainability. Refactoring is the established remediation practice, but it is complex and often deprioritized. Large Language Models can support automated refactoring, but their effectiveness depends on how they are prompted. In this study, we evaluate 14 pr...

Nadim Hagatulah, Markus Borg, E. Söderberg · 0 citations
Preprint Aug 2026

Code Health in LLM-Based Test Generation: Effectiveness and Token Efficiency

Coding agents powered by Large Language Models (LLMs) are now prominent in software engineering. Previous work has shown that AI tools perform better on high-quality source code that is easy to maintain. In this study, we investigate how the effectiveness of LLM-generated unit tests varies across maintainability levels...

Freya Wirdemann, Markus Borg, Nadim Hagatulah et al. · 0 citations

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