Common Metrics to Track Development
Document Details
Uploaded by Deleted User
Tags
Related
- Métricas y Estimación de Software PDF
- Monetary Measures of Development PDF
- Chapter 2 & 3 - Socioeconomic Fault Lines Inequality, Poverty, and Development & Starving in the Shadow of Plenty PDF
- Software Quality Assurance and Testing PDF
- Land at Avenue des Navigateurs, Courdimanche, 95800 France, 2024 PDF
- HKR 2300 Lecture 12: Growth & Development of Cardiorespiratory Endurance, Strength, and Flexibility PDF
Summary
This document outlines common metrics used to track the progress of development projects. It covers various aspects of the development lifecycle like project progress, cycle time, and user engagement. It is a good overview for understanding key metrics in the software development domain.
Full Transcript
Common metrics to track developments: Project progress: the percentage of tasks which have been completed to date against the project backlog Cycle time: the time it takes on average to complete a single development cycle (in one sprint) Lead time: the time it takes from the initiation of a task...
Common metrics to track developments: Project progress: the percentage of tasks which have been completed to date against the project backlog Cycle time: the time it takes on average to complete a single development cycle (in one sprint) Lead time: the time it takes from the initiation of a task or feature request to its completeion and delivery Team velocity: the average amount of work that is completed by the scrum team in a sprint Effect density: the number of defects identified per unit of development Code churn: the rate of change in software code UI load speed: the average time it takes for the user interface to load Error rate percentage of user interactions with the system that result in errors or issues Data accuracy and completeness: metrics related to data integrity and data completeness Time to market time between project initiation and release of first product version Customer experience metrics: metrics that assess satisfaction of end users User engaement: metrics that show the degree to which users engage with output of a project Feature adoption rate: how quickly end users start using new features after product is released