3 papers
cs.SE2026
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…
cs.SE2025
ACE: Automated Technical Debt Remediation with Validated Large Language Model Refactorings
Adam Tornhill, Markus Borg, Nadim Hagatulah +1
The remarkable advances in AI and Large Language Models (LLMs) have enabled machines to write code, accelerating the growth of software systems. However, the bottleneck in software…
cs.SE2024
Industrial Code Quality Benchmarks: Toward Gamification of Software Maintainability
Markus Borg, Amogha Udayakumar, Adam Tornhill
Software maintainability is essential for long-term success in the software industry. Despite widespread evidence of the high costs associated with poor maintainability, market pre…