Comprehensive R&D Efficiency Metrics and Calculation Formulas
This article presents a comprehensive collection of R&D efficiency metrics and their calculation formulas, covering code integration, quality, productivity, reliability, maintainability, and deployment aspects, to help teams evaluate and improve development performance and operational effectiveness.
R&D efficiency is increasingly emphasized by enterprises seeking cost reduction and performance improvement; this article shares a comprehensive set of metrics and calculation formulas for evaluating R&D effectiveness.
R&D Metrics and Calculation Formulas Collection
Category
Metric
Description
Formula / Method
Sample rows (full table omitted for brevity)
Code Integration & Indicators
Lines of Code
Total number of effective code lines, comments and blank lines in a file, useful for assessing code volume and complexity.
Count all lines (including comments and blanks) in the codebase.
Additional rows continue similarly
The metrics are organized into sections such as Code Integration & Indicators, Code Quality Indicators, and other dimensions like maintainability, readability, performance optimization, reliability, reusability, portability, and deployability, each accompanied by a brief description and a calculation method.
Source: PMO Frontline
DevOps
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