What are some effective metrics for measuring technical debt?
An example of an AI chatbot conversation about technical debt metrics and their importance in software development.
What are some effective metrics for measuring technical debt?
Effective metrics for measuring technical debt include code complexity, code churn, and the ratio of technical debt to development time.
How do I calculate code complexity?
Code complexity can be calculated using metrics like Cyclomatic Complexity, which measures the number of linearly independent paths through a program's source code.
What tools can help me track these metrics?
Tools like SonarQube, CodeClimate, and GitHub's code scanning features can help track and visualize technical debt metrics.
Can you explain the concept of code churn?
Code churn refers to the percentage of a codebase that has been changed over a certain period, indicating instability and potential technical debt.
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