Little’s law applied in agile software development
Little’s law is a theorem in queueing theory by John Little. What it says is that long-term the average number (L) of customers in a stable system equals the long-term average effective arrival rate (λ) multiplied by the average time (W) that a customer spends in the system. As a mathematical formula it’s: L = λ W In simple words, there is a relationship between the average number of customers in a stable system, their arrival rate, and the average time in the system.