Speaker Profile
About
Neil Potter is co-founder of The Process Group, a company formed in 1990 that consults on improving schedule, cost, and quality results for software, IT and systems development organizations. Neil has 30 years of experience in software and process engineering, and is a Certified Scrum Master, CMMI Institute certified lead appraiser, Intro to CMMI instructor, and Six Sigma Greenbelt. He has a B.Sc. in Computer Science from the University of Essex (UK) and is the co-author of: Making Process Improvement Work - A Concise Action Guide for Software Managers and Practitioners, and Making Process Improvement Work for Service Organizations, Addison-Wesley.
LinkedIn
SPEAKER PRESENTATION
Conference Track: CMMI: One Size DOES Fit All
This presentation provides methods for maintaining Level 3 CMMI performance for projects with multiple life-cycles that include software, hardware, waterfall and Scrum development. These methods were successfully implemented on a complex Telemedicine project. Methods include: 1. Leveraging and augmenting existing SCRUM framework processes 2. Using automation and other strategies to fill in CMMI process gaps without over-burdening the development team 3. Adapting standard SCRUM metrics to meet earned value requirements 4. Meeting stakeholder expectations in a traditional waterfall life-cycle environment involving hardware and software deliveries.
Conference Track: From Practice to Excellence
Using historical data to estimate future projects is one of the hallmarks of the Integrated Project Management Process Area. The presentation provides an example of establishing a comprehensive system to estimate the effort needed to develop a system based on size complexity and past actuals, and how to close the feedback loop with the actual project performance. The described system leverages enterprise project management solution based on MS Project Server to track the project performance with the precision needed to obtain data to conduct the estimate vs. actuals variance analysis that is used to calibrate the estimation model based on the actual project performance.