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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.Read the article
Is your agile team’s velocity constant from sprint to sprint? No? That’s not a surprise. Many 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.Read the article
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.Read the article
A transparent, collaborative estimation process that engages stakeholders can minimize project overruns caused by unrealistic schedule and budget expectations. 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 this article, originally published on Projects at Work, Laura Zuber explores the benefits and best practices of collaborative estimates.Read the article
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. But how can we estimate a project in advance, while still maintaining the ability to manage the backlog in an Agile manner?
In this article, we’ll answer that question, compare release-level estimation to the techniques used for iteration estimation, and give some pointers on getting started with release estimation in an Agile environment.Read the article
An Analysis of Function Point Trends by Don Beckett - Function point analysis has played an important role in software measurement and analysis for 30 years. This study 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 article