In this article for GCN, QSM's Joe Madden explains how the five core metrics of software estimation make a powerful tool that can be used at each phase of the software acquisition life cycle to help government IT program managers make more objective, quantitative decisions.
In this article for Projects at Work, Doug Putnam and Taylor Putnam-Majarian present a full-circle model that organizations can apply to track actual performance against estimates, reforecast when significant changes occur, and then continually refine the process through post-mortem assessment.
This article, originally published in Projects at Work, identifies three ways to maximize estimating efforts — before, during and after your project is complete.
In this article originally published on Agile Connection, QSM's Larry Putnam, Jr. turns to cold hard data from completed projects in the QSM database to determine whether big agile is "enterprise savior or oxymoron."
In a recent article for Projects at Work, QSM's Don Beckett identifies seven principles, based on comprehensive studies, that leaders must support and uphold to help create an environment in which projects can succeed. Ignoring them practically guarantees failure.
Can advances in data-driven estimation turn software project failure into a distant memory? Well, if learning from experience is the key to success, imagine what you could do with real-time access to three decades of research, thousands of projects and more than 600 industry trends.
Many agile teams assume that their velocity will be constant. In this article, QSM's Andy Berner explains why that’s not the right expectation--and how that affects how you use this metric.
For an agile project to progress smoothly, the backlog must be groomed and ready for each sprint. That work must be included in your project plan. This article gives you five points to consider when planning that work.
In this article, originally published on Projects at Work, Laura Zuber explores the benefits and best practices of collaborative estimates.
How can we estimate a project in advance, while still maintaining the ability to manage the backlog in an Agile manner? In this article, Andy Berner answers that question, compares release-level estimation to the techniques used for iteration estimation, and gives some pointers on getting started with release estimation in an Agile environment.