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Free SEI Webinar, April 28, "Building Process Performance Models"
Last post 04-13-2009 7:41 AM by Earl Beede. 0 replies.
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04-13-2009 7:41 AM
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Earl Beede


- Joined on 04-12-2007
- Construx Software
- Posts 246
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Free SEI Webinar, April 28, "Building Process Performance Models"
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SEI Webinar Series: A Practical Approach for Building CMMI Process Performance Models
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Join us for a Webinar on April 28
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Presenters: Dave Zubrow, Rusty Young, Kevin Schaaff and Robert Stoddard
This webinar targets individuals who will be developing and using process performance models as part of an overall CMMI High Maturity improvement framework. As the community becomes more aware of the detailed definition and characterization of CMMI process performance models, there is a need to provide additional guidance on the process or “model” of how one properly builds a process performance model. The authors combined their varied and in-depth modeling experiences to deliver a tutorial on this subject for the 2009 SEPG NA from which this webinar is drawn. Process performance modeling is also referred to in a handful of courses within the SEI training portfolio. Specifically, it receives some treatment in the CMMI Introduction and Intermediate courses and much more in-depth conceptual treatment in the Understanding CMMI High Maturity Practices (UCHMP) course. Lastly, basic process performance modeling techniques are taught in the Improving Process Performance using Six Sigma (IPPSS) course while advanced process performance modeling techniques are taught in the Designing Products and Processes using Six Sigma (DPPSS) course.
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Title:
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SEI Webinar Series: A Practical Approach for Building CMMI Process Performance Models
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Date:
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Tuesday, April 28, 2009
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Time:
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1:00 PM - 2:00 PM EDT
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After registering you will receive a confirmation email containing information about joining the Webinar.
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System Requirements PC-based attendees Required: Windows® 2000, XP Home, XP Pro, 2003 Server, Vista
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Macintosh®-based attendees Required: Mac OS® X 10.4 (Tiger®) or newer
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Enjoy, Earl
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