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2014年6月INTRO TO CMMI培训无锡开班

发布时间:2014-6-20 11:32:54 阅读:3003

2014年6月28-30号,连陆首席主任评估师丛斌博士将在无锡进行INTRO TO CMMI V1.3开发模型的授权培训,培训介绍如下,有意参加者可与赵先生联系报名事宜,电话:021-62794123,010-62357721,13911308984;邮箱:zhaocl@crs-tech.com.

CMMI Institute 授权CMMI 1.3开发模型实施培训

丛斌博士

CMMI 高成熟度主任评估师, 授权CMMI讲师

Certified Scrum Master and Product Owner

Scrum Coach

CRS Tech

加州州立大学软件工程研究所教授

无锡,20146

三天课程概述

CMMI 1.2CMMI1.3是一次重要的模型升级。本次升级是对模型的一次优化及简化。一些对客户价值低的内容被删减,同时模型对高成熟度(四级、五级)的内容进行了较大修改,使之从系统性实施角度更加容易理解。同时1.3也花了很大的努力在模型描述中引入了敏捷方法的内容:包括整体的实施建议,并在10个过程域中介绍了敏捷实施的思路。

本次培训的目的是帮助你:

l  系统的了解过程改进及CMMI的价值、定位、及使用方法

l  系统掌握CMMI定义的项目管理最佳实践及量体裁衣的方法:估算、增量计划、有效的风险管理、供应商管理等。

l  系统掌握CMMI定义的产品开发最佳工程实践:需求工程、设计、编码、资料开发、有效的技术评审、测试等

l  系统掌握CMMI定义的支持活动的最佳实践:建立有效的度量体系、建立有价值的QA稽核体系、结构化的决策方法及机制等。

l  系统掌握CMMI定义的过程改进管理的最佳实践:建立有效的过程改进管理机制,平衡好日常工作与改进的关系等。

l  系统掌握CMMI定义的高成熟度最佳实践:建立有效的量化管理体系、缺陷预防机制及方法、引入及管理创新的。

l  通过国内外优秀企业的案例实例,解读CMMI的使用。

l  获取CMMI Institute的证书,拿到参加CMMI评估的资质。

在第三天的培训中,会邀请一些连陆的CMMI客户,和大家一起分享CMMI实施中的经验教训,通过互动,让企业间互相交流学习,掌握CMMI的真谛,以便有效的帮助企业通过引入CMMI帮助实现其业务价值。

一些美国学员对丛斌博士培训课程的评价:

-          “Excellent job. It is well rounded. Very informative and insightful.”

-           “The best workshop I attended for the similar topic. Dr. Cong was able to translate complexity to simplicity.”

-          “Dr. C really knows his stuff and the examples and case studies are extremely helpful.”

-          “I think I know now how to attack CMMI HM practices.”

-          “Great instructor, very knowledgeable. Lot’s of passion shown by him.”

-          I enjoyed your workshop.  You are a gifted educator - I'm so glad that I had the opportunity to be in your class.”

-          “I did not know that statistics could be so much fun, thanks Dr. Cong.”

-          I should have done this a while ago, but I would like to thank you for the Statistics and CMMI High Maturity class as well as the Intro to CMMI course that you taught earlier this year.  It was carefully targeted to fill our knowledge gaps and I feel that it gave us a solid handle on practical techniques as well as more theoretical depth of knowledge. Using our real-world data as a class exercise was especially beneficial.  This class was a necessary and valuable step in our progress towards ML4 and 5.  Thank you again.