4 citations · 5 across the 8 of their papers we have counts for
3 papers · 1 filter
Code Health in LLM-Based Test Generation: Effectiveness and Token Efficiency
Freya Wirdemann, Markus Borg, Nadim Hagatulah +1
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 th…
Technical Debt Friction for Maintenance Prioritization: An Industrial Multi-Case Study
Simeon Tverdal, Phu Nguyen, Arda Goknil +3
Software-intensive organizations need effective ways to identify where maintenance and refactoring efforts will yield the greatest practical benefit. Although software analytics su…
Code for Machines, Not Just Humans: Quantifying AI-Friendliness with Code Health Metrics
Markus Borg, Nadim Hagatulah, Adam Tornhill +1
We are entering a hybrid era in which human developers and AI coding agents work in the same codebases. While industry practice has long optimized code for human comprehension, it…