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Discriminative Study on Risk Management In Software Product Development Amandeep Midha EMBA 2007-09
Risk - Definition ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Dynamics of Software Product Development ,[object Object],[object Object],[object Object],[object Object],[object Object]
Stakeholders
Hypothesis Framing ,[object Object],[object Object]
Sequence of Work ,[object Object],[object Object],[object Object],[object Object],Problem Conclusion Analysis Empirical (Quantitative) Theoretical Study Empirical (Qualitative) D C A B
A. Theoretical Study – 1 Risk Basics & Application ,[object Object],[object Object],[object Object],[object Object],[object Object],Customer get Actual Control Here! Feasibility Formulation Implementation Installation Sustaining
A. Theoretical Study -2 Addressing Business Challenges ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
A. Theoretical Study – 3 Risks Classification & Handling ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
A. Theoretical Study – 4 Risks Reporting ,[object Object],[object Object],[object Object],[object Object],[object Object],Action Impact Y/N Resolution Source Caveat Serial
B. Empirical Study – 1 Interviewing ,[object Object],[object Object],Section-1: Background Section-5: Risk Reduction Section-2: General Risk Questions Section-3: Risk Transfer Section-4: Risk Retention Section-6: Risk Analysis Section-7: Specific Risk Conversation
B. Empirical Study – 2 Interview – Case Generation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],(Please refer to handout for Case Internals)
B. Empirical Study Analysis – 1 First Analysis – Inferences Y   Y       Global Factors Rest of the World   Y       Y   Y Quality & Schedule Supplier Y Y         Y   Y   Y Biases & Influences Stakeholder Y Y Y Y   Y     Cost, Time Overruns Offers & Contracts Y           Ability to Pay Customer External Y Y   Y Y       Y Low Mental Ability Team Individual Y       Y Y   Y Poor Decision Making Project Manager Internal 9 8 7 6 5 4 3 2 1 ‘ Said Risk’ Source
B. Empirical Study Analysis – 2 Analysis – Hypothesis Check Least Inconsistent Evidence Why Software Projects Fail? C-Consistent Evidence I-Inconsistent Evidence C C I I C I I Quality Issues C I I I I I C Platform Incompatibility C I C C I I I Suite Integration Issue I I C I I I C Platform Issue I I C C C C I Schedule Delay I I C C C I I Cost Overrun Lack of Talent Lack of Focus No Risk Study Poor Estimation Poor Planning Changing Requirements Choosing Wrong Technology Problem Evidence Multiple Alternate Hypotheses  
C. Empirical Study-3 Quantitative Study Findings Scope Schedule Project  Management Program  Constraints Scope Program  Constraints Schedule Scope Program  Constraints
D. Drawings from Empirical Study-I
D. Drawings from Empirical Study-I
D. Empirical Study –H 0  Proved? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
D. H 0  – Devil’s Advocacy ,[object Object]
Agile/Cellular: Solution? Least Risk only at End of Project R I S K Plan Develop Code Implement T  I  M  E Plan Develop Code Implement Plan Develop Code Implement Plan Develop Code Implement Plan Develop Code Implement Plan Develop Code Implement R I S K T  I  M  E
Lessons from TOC Focus on Constraints (Risks), since, there is huge potential for “Growth” Ref: “Theory of Constraints”, Goldratt, Eliyahoo OE : Operational Excellence I : Inventory T : Throughput
Forces & Future of Software Delivery Product Growth Product Maturity Generic Expected Augmented Potential Developing Thinking Collaborating Planning Releasing
Solutions? – Ah! ,[object Object],[object Object],[object Object],[object Object]
Solutions? – Other Thoughts ! ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Achieving Business Level Buy-In ,[object Object],[object Object],[object Object],[object Object],[object Object]
Achieving Business Level Buy-In ,[object Object],[object Object],[object Object]
Achieving Business Level Buy-In ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Thanks for Listening! Amandeep Midha [email_address] .The author pays high regards for information sources for this presentation. Refer to Bibliography for further details
Annex: Limitations of Study ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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Risk Management In Software Product Development

  • 1. Discriminative Study on Risk Management In Software Product Development Amandeep Midha EMBA 2007-09
  • 2.
  • 3.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13. B. Empirical Study Analysis – 1 First Analysis – Inferences Y   Y       Global Factors Rest of the World   Y       Y   Y Quality & Schedule Supplier Y Y         Y   Y   Y Biases & Influences Stakeholder Y Y Y Y   Y     Cost, Time Overruns Offers & Contracts Y           Ability to Pay Customer External Y Y   Y Y       Y Low Mental Ability Team Individual Y       Y Y   Y Poor Decision Making Project Manager Internal 9 8 7 6 5 4 3 2 1 ‘ Said Risk’ Source
  • 14. B. Empirical Study Analysis – 2 Analysis – Hypothesis Check Least Inconsistent Evidence Why Software Projects Fail? C-Consistent Evidence I-Inconsistent Evidence C C I I C I I Quality Issues C I I I I I C Platform Incompatibility C I C C I I I Suite Integration Issue I I C I I I C Platform Issue I I C C C C I Schedule Delay I I C C C I I Cost Overrun Lack of Talent Lack of Focus No Risk Study Poor Estimation Poor Planning Changing Requirements Choosing Wrong Technology Problem Evidence Multiple Alternate Hypotheses  
  • 15. C. Empirical Study-3 Quantitative Study Findings Scope Schedule Project Management Program Constraints Scope Program Constraints Schedule Scope Program Constraints
  • 16. D. Drawings from Empirical Study-I
  • 17. D. Drawings from Empirical Study-I
  • 18.
  • 19.
  • 20. Agile/Cellular: Solution? Least Risk only at End of Project R I S K Plan Develop Code Implement T I M E Plan Develop Code Implement Plan Develop Code Implement Plan Develop Code Implement Plan Develop Code Implement Plan Develop Code Implement R I S K T I M E
  • 21. Lessons from TOC Focus on Constraints (Risks), since, there is huge potential for “Growth” Ref: “Theory of Constraints”, Goldratt, Eliyahoo OE : Operational Excellence I : Inventory T : Throughput
  • 22. Forces & Future of Software Delivery Product Growth Product Maturity Generic Expected Augmented Potential Developing Thinking Collaborating Planning Releasing
  • 23.
  • 24.
  • 25.
  • 26.
  • 27.
  • 28. Thanks for Listening! Amandeep Midha [email_address] .The author pays high regards for information sources for this presentation. Refer to Bibliography for further details
  • 29.

Editor's Notes

  1. Improving customer intimacy requires understanding and responding quickly to current and potential customers, their needs, establishing effective relationships with them, and providing consist, long-term customer value. Achieving operational excellence requires enterprises to focus on operating efficiently, effectively, and flexibly, working with their partners to reduce the cost and time necessary to deliver high-quality products that meet their customer’s requirements in a timely manner. Providing product leadership means delivering leading edge products and solutions tailored to customer needs. All of these challenges require getting the right products to the right market, at the right time, for the right cost Globalization leads to Overcapacity. Overcapacity leads to Commoditization