Liz Keogh discusses breaking down requirements without going into too much detail combined with complexity estimation for easy planning, dependency management, and prioritization.
Martin Aspeli shares his experiences using Kanban, Real Options, Conway's Law and Feature Injection to help clients "see" the value stream in their programmes and better align disparate workstreams.
Dimitar Bakardzhiev discusses planning a fixed bid project by applying the Monte Carlo simulation using collected historical data about lead time per story.
Allan Kelly examines the project model and shows why it does not match software development, outlining an alternative to the project model and what companies need to do to achieve it.
Viviana Doctorovich explains how to use workshops to teach clients the design process using planning, design games and methods for dealing with difficult stakeholders.
Chris Matts leads an experimental workshop on using the Theory of Constraints to create an organizational investment portfolio.
Chris Young explains how he is using Little’s Law to estimate a project’s delivery rate.
Dan Brown explains the difference between forecasting and estimating, and how one can better forecast delivery with less effort and more accuracy than with estimation.
Brian Clozel talks about the newly open-sourced reference application that powers the spring.io site, built with Spring Boot, Spring Framework 4 features, cujoJS, Bower and Gulp.
Edmund Jorgensen discusses how and why engineering teams slow down, showing how attempts to manage costs in the face of slowdowns can death-spiral into worse delays with deadly economic consequences.
Jutta Eckstein provides insights in the latest scientific research on planning and shows how Beyond Budgeting and Agile principles can be combined so that even complex projects remain controllable.