Large-Scale Scrum (LeSS)
is a lightweight agile framework for scaling Scrum to more than one team. It is “Scrum applied to many teams working together on one product.” It was extracted out of the experiences of Bas Vodde and Craig Larman while scaling Agile development in many different types of companies, products and industries over the last ten years. LeSS consists of the LeSS Principles, the Framework, the Guides and a set of experiments. The LeSS framework is divided into two frameworks: basic LeSS for 2-8 teams and LeSS Huge for 8+ teams. LeSS’s approach to scaling agility is centered around anchoring on key agile practices and letting the organizational structure emerge around them. It provides a very minimalistic framework that enables empiricism on a large-scale which enables the teams and organization to inspect-adapt their implementation based on their experiences and context.
Disciplined Agile Delivery (DAD)
Disciplined Agile Delivery, developed by Scott Ambler and Mark Lines, is similar to SAFe in that it recommends using existing lean and agile techniques. DAD, however, aims to address areas that aren’t thoroughly covered in smaller-scale agile frameworks. For this reason, DAD’s strengths are in providing more guidance in the areas of architecture and design (inception) and DevOps (transition).DAD also provides flexibility in suggesting different process guidelines for four categories of lifecycles: agile/basic, lean/advanced, continuous delivery, and exploratory. The Construction phase of agile/basic is scrum, but DAD, as in each of the four lifecycles, adds recommendations for the Inception and Transition phases. The lean/advanced lifecycle uses processes similar to Kanban, maximizing flow and minimizing work in process. The continuous delivery lifecycle focuses on mature DevOps, continuous integration, and deployment processes for projects that require frequent delivery to stakeholders. The exploratory lifecycle minimizes early planning in favor of fast delivery, gaining feedback, and incorporating that feedback into the next delivery.