Software projects often commit to unrealistic schedule and budget expectations due to little or no information about the size and scope or productivity. Yet the business reality is that projects must be estimated early in the life cycle to support business goals and strategic planning. These challenges can be overcome with a transparent and collaborative estimation process. It depends on metrics collection, analysis, risk comparison, and a structure for sharing the right information with the right people at the right time.

In an article recently published on Projects at Work, Laura Zuber explores the benefits of collaborative software project estimates and identifies best practices for implementing them.

Read the full article!

Function point analysis has played an important role in software measurement and analysis for 30 years, but what will be the role of function points in the future? Will they have staying power? Expanding off of a recent article for IFPUG's Metrics Views, Don Beckett looks at the QSM software project database and examines a set of validated projects counted in function points that have completed since the year 2000 to see what they tell about productivity, schedule, and staffing. We are fortunate to have several thousand projects in this sample to work with as this allows us to parse the data many different ways and still have enough projects to be statistically significant. For this study only unadjusted function points were used.

Read the full white paper!

It’s becoming clear to organizations adopting Agile methods that one still needs to estimate how long a project or a release of a product will take. It won’t suffice for businesses to simply take guesses or accept unreasonable constraints. We must be able to derive credible estimates, based on a history of similar projects. How can we estimate a project in advance while still maintaining the ability to manage the backlog in an agile manner?

In this article, recently published on Projectmanagement.com, QSM's 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.

Andy Berner is a software engineer and methodologist. He came to QSM in 2012 after over 25 years in both large and small software organizations, including, among others, EDS (now HP), Rational Software and IBM. Based on his experience in almost every role in software development, Andy has consulted with numerous organizations on using software development methods and tools to improve productivity and quality.

Read the full article here!

Agile is all the rage these days, but what happens to Agile projects when they're forced to scale to the size of major government enterprise initiatives? In this article, originally published in the May-June 2013 issue of Modern Government, Larry Putnam, Jr. looks at 93 Agile projects completed between 2002-2012 to see how these projects fared as their sizes increased. The study examines Early Adopters (2002-2008) vs. Later Adopters (2009-2012), as well as analyzing Agile vs. Non-Agile projects. The results may surprise you!

Read the full article here.