Brad Meiseles, Maximizing Engineering Productivity

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Brad Meiseles, Director of Engineering at VMware led a discussion with MassTLC members on maximizing engineering productivity.

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  • Goals
  • Work Environment
  • People and teams
  • Methodologies, processes, tools
  • Measurement is hard
  • Brad Meiseles, Maximizing Engineering Productivity

    1. 1. Maximizing Developer Productivity MassTLC Round Table February 9, 2012Confidential © 2009 VMware Inc. All rights reserved
    2. 2. Agenda Factors that impact productivity Measuring productivity2 Confidential
    3. 3. “Begin with the end in mind.” - Steven Covey Habit 2 from “The 7 habits of highly effective people”)3 Confidential
    4. 4. "The major problems of our work are not so much technological as sociological in nature." - Tom DeMarco and Timothy Lister Peopleware : Productive Projects and Teams4 Confidential
    5. 5. “to build a successful organization and team you must get the right people on the bus.” - Jim Collins Good to Great5 Confidential
    6. 6. "Developers prefer to use agile methods. Managers prefer to use heavy methods." - Anonymous Comment in IT Survey6 Confidential
    7. 7. Measuring Productivity7 Confidential
    8. 8. “Micromanagement is evil. Measuring lines of code is useless, because less truly is more.” - Mikael Jansson From an Answer on Stack Overflow8 Confidential
    9. 9. “Developer productivity is really a qualitative assessment, not a quantitative measurement.” - Me9 Confidential
    10. 10. "Im a little verklempt. Talk amongst yourselves" - Mike Myers “Coffee Talk with Linda Richman,” SNL10 Confidential
    11. 11. Topic 1. Goals What are we building and why does it matter?11 Confidential
    12. 12. Topic 2. Work Environment Does the work environment help or hinder productivity?12 Confidential
    13. 13. Topic 3. People and Teams Do we have the right people? How are we organized into teams?13 Confidential
    14. 14. Topic 4. Processes and Tools Is our methodology working? Do the tools we use help or hinder productivity?14 Confidential
    15. 15. Topic 5. Measuring Productivity? What do we measure? How do we interpret the data we gather?15 Confidential
    16. 16. Thank you!16 Confidential

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