The business case for CodeScene

The impact in monetary terms

Scenarios based on different average codebase health and team size

Opportunity cost measured in monetary terms Each developer @ £60k P.A.
Scenario Change
& impact		 10 Devs
£600k total		 50 Devs
£3m total		 100 Devs
£6m total
Lower
quality		 7→5
−20%		 –£120k –£600k –£1.2m
Better
quality		 7→8
+20%		 +£120k +£600k +£1.2m
Top
performer		 7→9
+30%		 +£180k +£900k +£1.8m
Once we connect to your codebase, we can show you exactly where code health is costing you time and money.
Sources
Benchmarking Code Health Refactoring ROI The research behind the S-curve — a polynomial regression across 50+ production codebases linking Code Health scores to development speed and defect reduction. codescene.com/blog/benchmarking-code-health-refactoring-roi
Code Red — The Business Impact of Code Quality The peer-reviewed paper establishing the link between code quality and business outcomes across 39 proprietary production codebases. arxiv.org/abs/2203.04374
Code Quality: Debunking the Speed vs Quality Myth How the non-linear S-curve model translates Code Health scores into tangible business value — faster delivery and fewer defects. codescene.com/blog/code-quality-debunking-the-speed-vs-quality-myth