"Beyond Linting: A Data-Driven Approach to Suggesting Better Code, Not Just Flagging Bad Code"

Intro: Every developer has experienced this loop: you run your linter or static analysis tool, it highlights a dozen issues – long methods, high cyclomatic complexity, tight coupling – and then… you're on your own. You know what's wrong. You just don't know what better looks like in your specific context. A recently published paper in IET Software tackles this gap head-on. Titled "A Data-Driven Methodology for Quality Aware Code Fixing" by Thomas Karanikiotis and Andreas Symeonidis (Aristotle Un