CMMI High Maturity Best Practices HMBP 2010 : Ensure On Time Delivery for Maintenance/QA Projects by Rekha Ramrakhiyani and Santosh Kumar

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  • 8/9/2019 CMMI High Maturity Best Practices HMBP 2010 : Ensure On Time Delivery for Maintenance/QA Projects by Rekha Ramrakhiyani and Santosh Kumar

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    Company Confidential

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    Ensure On Time Delivery forMaintenance/QA Projects

    -Rekha RamrakhiyaniSantosh Kumar(BirlaSoft)

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    Ensure On-Time Delivery for

    Maintenance/QA Projects

    Author- Rekha Ramrakhiyani

    Co-Author- Santosh Kumar

    Business Excellence

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    Company Confidential

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    Key Delivery Challenges - Managing Maintenance/QA

    Projects

    Estimation accuracy

    On Time delivery

    Managing the deliveries within stipulated effort

    Trade off between Schedule and effort

    Proactive Project management

    Project Management with leading indicators

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    Possible solution to address -Key Delivery Challenges

    Modeling around :

    Prediction Of Timely Delivery

    Prediction Of Meeting Effort Targets

    Validation of Estimates

    Guidance towards optimum team composition

    Modeling around leading indicators

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    Solutions provided by Maintenance/QA Project Model

    Predicting confidence interval for On time Delivery

    Predicting certainty for meeting effort targets

    Suggesting Optimum Process composition

    Enabling What If Analysis

    Identifying Critical Sub process for statistical control

    Modeling around leading indicators

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    Frame work -PPM Model for Maintenance/QA Projects

    No of Small Tickets 2

    No of Medium Tickets 5

    No of Large Tickets 4

    Total number of Tickets 11

    Available Team Size 2

    Hours Per Manday 8

    Planned Start Date 1-Nov-09

    Planned End Date 30-Nov-09

    Planned Release Duration in Days 21

    Total Available Effort in Hrs 336

    Certainty of On Time Delivery -115.30

    PPM for Prediction of On Time Delivery

    Forecast for OTD

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    Features for-Maintenance/QA Project Models

    Inputs Required for Model

    Estimated work packets/Tickets

    Estimated team composition

    Release start and end dates

    Probability Distributions for effort baselines

    Frequency for PPM Execution

    Start of the Release

    During release with real process behavior

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    Pilot Implementation of Maintenance Model

    PPM Execution at start of the release

    Only 63% Certainty for meeting OTD Target

    Certainty of meeting OTD Target

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    Pilot Implementation of Maintenance Model

    Identifying Critical Sub process

    Large Ticket's CUT Phase effort is statistically tracked

    and strong code review has been identified as corrective action

    Large Tickets CUT activity iscontributing most for

    variation in OTD

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    Pilot Implementation of Maintenance Model

    PPM Execution -Post Corrective actions

    Post Corrective Actions-Certainty for meeting OTD Target

    Has improved to 97%.

    Certainty of meeting OTD Target

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    Critical Success Factors

    Easy to understand and execute

    Customizable as per Project Specific Requirements

    Does not require any Organization specific base line values

    Can be used for QA as well as Maintenance Type of Projects

    Re-calibration with real time process performance

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    Benefits

    Providing leading indicators

    Productivity Improvement

    Helping Projects in the estimates

    Improved OTD delivery for projects

    Reduction in effort over run for Projects

    Improved Customer confidence

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    Q & A

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    Thank You

    Author- Rekha Ramrakhiyani

    Senior Manager

    Business ExcellenceEmail- [email protected]

    Co-Author- Santosh Kumar

    Head - Business Excellence Process GroupEmail- [email protected]

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