1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.SE2024★ 1 cited
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…
cs.SE2024
Increasing, not Diminishing: Investigating the Returns of Highly Maintainable Code
Markus Borg, Ilyana Pruvost, Enys Mones +1
Understanding and effectively managing Technical Debt (TD) remains a vital challenge in software engineering. While many studies on code-level TD have been published, few illustrat…
cs.SE2023
U Owns the Code That Changes and How Marginal Owners Resolve Issues Slower in Low-Quality Source Code
Markus Borg, Adam Tornhill, Enys Mones
[Context] Accurate time estimation is a critical aspect of predictable software engineering. Previous work shows that low source code quality increases the uncertainty in issue res…