How Many Samples Do I Need?Introduction to Monte Carlo ForecastingHow much improvement do I get by adding more teams or people?Story Point Velocity or Throughput Forecasting - Does it matter?Portfolio to Teams - Flow DiagramUnderstanding Optimal Batch SizeUnderstanding Cycle Time Distribution ShapesImpact of Multiple Team Dependencies in Software DevelopmentHow Does Utilization Impact Lead-time of Work?The Economic Impact of High System Utilization
Latent Defect Estimation
found = defects - undiscovered
data = [{name: "Discovered", value: found},
{name: "Un-discovered", value: undiscovered }]
arc = d3.arc()
.innerRadius(0)
.outerRadius(Math.min(width, height) / 2 - 1)
arcLabel = {
const radius = Math.min(width, height) / 2 * 0.8;
return d3.arc().innerRadius(radius).outerRadius(radius);
}
color = d3.scaleOrdinal(d3.schemeCategory10);
pie = d3.pie()
.sort(null)
.value(d => d.value)
d3 = require("d3@5")
height = 300
margin = ({top: 20, right: 30, bottom: 40, left: 40})
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
