Moscow Rules: A Quantitative Exposé
Эдуардо Миранда
Abstract
Abstract This article analyzes the performance of the MoSCoW method to deliver all features in each of its categories: Must Have, Should Have and Could Have using Monte Carlo simulation. The analysis shows that under MoSCoW rules, a team ought to be able to deliver all Must Have features for underestimations of up to 100% with very high probability. The conclusions reached are important for developers as well as for project sponsors to know how much faith to put on any commitments made.
Topics & Concepts
EXPOSEFaithComputer scienceOperations researchMonte Carlo methodEngineeringEpistemologyStatisticsMathematicsPhilosophyPhysicsAstronomyTechnology Assessment and ManagementSystems Engineering Methodologies and ApplicationsProduct Development and Customization