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This article explains the purpose and interpretation of cumulative flow diagrams in lean software development, illustrates how WIP and lead time affect delivery, and discusses common pitfalls such as code coupling, optimistic estimates, and non‑project activities that hinder iteration progress.
The article explains how to control work‑in‑progress by postponing new starts and concentrating on finishing existing tasks, emphasizing that WIP should be measured in delivered user value rather than task count, and outlines practical control techniques for lean product development.
This article explains the essential practice of limiting work-in-progress in product development, using the ancient Chinese engineer Pan Jixun's "water‑constriction" strategy as an analogy to illustrate how reducing WIP accelerates delivery cycles and instantly reveals problems, supported by Little's Law and real‑world examples.
The article explains how random events such as urgent bug fixes, integration failures, and sudden requirement changes disrupt software development, using a coin‑toss analogy to illustrate statistical principles like binomial distribution and the central limit theorem, and recommends limiting work‑in‑process to manage queue‑induced delays.