March 7, 2018
Date & Time
March 7, 2018 9:30 PM - March 8, 2018 12:00 AM
Paul Anderson Auditorium
400 S. Tryon St
Charlotte, North Carolina 28202
Register by January 1, 1970 12:00 AM
Scrum or Kanban? Estimate in story-points or task-hours? Two-week iterations or three? What’s the optimal size for my Agile team? Are fluid teams a good idea? Or are stable better?
These are some of the critical questions that face teams and organizations at the outset of an Agile journey; questions that are too often answered from a base of intuition and folklore rather than objectivity and understanding.
Agilitics: Correlating Agile Practices to Performance is a provocative evening session with noted speaker Larry Maccherone that illuminates the impact our practices on performance.
Backed by the hard numbers of tens of thousands of teams from a pool of hundreds of thousands of projects, Larry’s findings serve to challenge convenitional thought with facts, evidence, and insights.
Maccherone considers 55 variables to form a predictive model of performance based upon a team’s context as well as their behaviors and practices.
The session also includes the numbers, so that we don’t just say, A is better than B. Rather, we can can say that A is a 24% improvement in Quality, but a 10% reduction in Productivity compared to B. This allows you to plug it into your own model and make informed tradeoff decisions.
Meet the speakers
You’ll leave the evening with a powerful decision-making framework for optimizing you agile practices and targetting improvement along the dimensions of:
Meet the speakers
Larry Maccherone is an industry-recognized thought leader on Lean/Agile, Analytics, and DevSecOps. At Rally Software, Maccherone published groundbreaking research in the efficacy of Lean and Agile practices, attitudes, and behaviors and offered the first-ever performance benchmarking tool within the Insights product line he directed. Maccherone worked at Carnegie Mellon with the Software Engineering Institute (SEI) and CyLab for seven years conducting research on cybersecurity and software engineering.
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