Make the Invisible Visible
Technical Debt is a Business Problem

Technical debt is a metaphor where – just like in finance– debt incurs interest payments. This means that technical debt makes code more expensive to maintain than it has to be. This has a direct impact on business.

Sustainable software development is about balancing short- and long-term goals. A product needs to grow with new features and capabilities while ensuring that the codebase remains maintainable, easy to evolve, and well-understood. A failure to balance these goals leads to technical debt, which in turn affects the evolution of your business.

Check out our knowledge bank below for actionable advice on how to successfully manage technical debt. Try for free

Free Whitepaper.
The Business Costs of Technical Debt.

This paper presents an approach to calculating, visualizing, and communicating the costs of technical debt.

Using these techniques, a technical leader can establish a baseline and set improvement goals that convert into measurably decreased business risk. As shown in this paper, the typical development organization can increase their feature delivery efficiency by at least 25% by managing technical debt. Try for free

Get the free whitepaper on how to calculate the costs of Technical Debt to Optimize your Software Delivery using the CodeScene analysis platform.

Know the Fallacy.
Technical Debt cannot be Calculated from Source Code.

Technical debt is often mistaken for bad code in general. This is a dangerous fallacy that leads organizations to waste months on improvements that don’t have a clear business outcome or aren’t urgent.

Technical debt is not equal to code quality issues. Rather, technical debt is the excess cost resulting from code quality issues, not the time it takes to fix them. These are two very different things. This also means we need to look beyond traditional static code analysis techniques to identify technical debt.

Code Quality vs Relevance.
Not all Technical Debt is Urgent

Technical debt implies code quality issues. However, the opposite is not necessarily true: just because some code lacks in quality, that doesn’t mean it is or adds to technical debt. It might not even be an immediate problem at all. Further, an organization just cannot act on all potential issues at once, so it’s vital to prioritize the most critical code quality issues and address them first.

Instead, prioritize improving the parts of the codebase that will bring the biggest and fastest benefits to your organization. This is what CodeScene’s prioritized hotspots do. CodeScene also comes with its unique X-Ray analysis that can home in on hotspots at the method/function level.

CodeScene identifies hotspots with low code health, which lets you prioritize the most critical code quality issues.

SaaS vs. On-premise

CodeScene fits every software project. You only need to decide if you want to run CodeScene on your own servers, or just and run CodeScene as a cloud service. Fully automated.

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