1 citations · 1 across the 6 of their papers we have counts for
9 papers
CodeHealth Predicts the Token Cost of Agentic Code Review: A Pre-Registered Study of 465 Agent-Authored Pull Requests
Lo Gullstrand Heander, Markus Borg, Emma Söderberg +1
Context: Organizations increasingly delegate code review to multi-agent large language model (LLM) pipelines billed per token. Low code quality raises human maintenance effort, but…
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…
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…
Echoes of AI: Investigating the Downstream Effects of AI Assistants on Software Maintainability
Markus Borg, Dave Hewett, Nadim Hagatulah +5
[Context] AI assistants, like GitHub Copilot and Cursor, are transforming software engineering. While several studies highlight productivity improvements, their impact on maintaina…
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…
Does Co-Development with AI Assistants Lead to More Maintainable Code? A Registered Report
Markus Borg, Dave Hewett, Donald Graham +4
[Background/Context] AI assistants like GitHub Copilot are transforming software engineering; several studies have highlighted productivity improvements. However, their impact on c…
Ghost Echoes Revealed: Benchmarking Maintainability Metrics and Machine Learning Predictions Against Human Assessments
Markus Borg, Marwa Ezzouhri, Adam Tornhill
As generative AI is expected to increase global code volumes, the importance of maintainability from a human perspective will become even greater. Various methods have been develop…