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Understanding Technical Debt




February 20th, 2010
Relations to Application Life Cycle Management?

1.   ALM is a business process.
2.   Being Great at ALM requires incorporating technical debt
     management strategies.
3.   Even incremental improvements in ALM can deliver large benefits
     in the form of agility, predictability, auditing, quality and
     productivity.
4.   Paying down Technical Debt delivers incremental improvements




                                                                       2
What is Technical Debt?

•   Technical Debt is a metaphor (Ward Cunningham)
•   Result of “Quick and Dirty” Software Design.
•   A “Quick and Dirty” approach has short term benefits.
•   Intent: We will fix it later.




                                                            3
How is Technical Debt Incurred?

     Expectations                                               Actual




                                                    Remaining Work
       Remaining Work




                               Planned work                                         Actual work
                                and velocity                                        and velocity



                                                                                            Projected
                                                                     Planned               Release Date
                                                                     work and
                                                                     velocity

                        Time                                          Time
                               Planned                                          Planned
                               Release Date                                     Release Date


[Kane Mar and Michael James, Technical Debt and Design Death]
                                                                                                   4
Priority: On-Time, On-Budget, Technical Debt Visualized.

                                         Actual work and
                                             velocity

                                                                    Pressure applied here
                                                                 Result = On Time, On Budget
        Remaining Work




                                                                 Claim = Productivity improved



                                                                            Area here is
                                                                           Technical Debt

                         Planned work
                          and velocity




                                   Time
                                                             Planned        Avoided / Full Quality
                                                           Release Date        Release Date

[Kane Mar and Michael James, Technical Debt and Design Death]
So What?

Too Much Technical Debt  Bankruptcy!
   –   Failed Customer Interactions (FCI)
   –   Sev1, Sev2, etc
   –   High TCOA (Ex: # BAU Resources)
   –   Overly Complex & Brittle
   –   Lost Productivity
   –   Low Confidence




                                            6
How to Pay Down Technical Debt?

                             Define
                          Measurements




            Continually
                                             Identify Sources
             Monitor




                          Apply Strategies
                           and Tactics to
                              Reduce



                                                                7
How to Measure Technical Debt?

• Maintainability Index:
   – Calculated value between 0 – 100 indicating code quality.
   – Recommendation: Group into three levels
       • Green = highly maintainable code.
       • Yellow = warning, code in danger of becoming red.
       • Red = difficult to maintain code.
Cyclomatic Complexity:
   – Method level calculation of the number of independent execution
     paths.
   – Recommendation: Cyclomatic Complexity < 15.
Depth of Inheritance:
   – Calculates the level of inheritance between classes
   – Recommendation: Depth of Inheritance < 4.




                                                                       8
What tools do we use?

• Using the Toolset:
   – We Own (Nothing to buy)
   – We Know (Less Training)

• Specifically Visual Studio 2008 provides:
   – Code Analysis – Rules based Code Inspection
   – Code Metrics – Calculate Indicators




                                                   9
References

• Ward Cunnigham – Technical Debt Metaphor
• Steve McConnell – Technical Debt Articles
   – http://blogs.construx.com/blogs/stevemcc/archive/2007/11/01/technical-
     debt-2.aspx
• Quent Herschelman (Microsoft)




                                                                              10
Reference: Can Technical Debt be used Strategically?

• Reasons to Incur Technical Debt:
   – Quicker Time to Market
   – Delaying Development Expense (Application Sun Setting)
   – Preservation of Startup Capital




                                                              11

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Understanding technical debt

  • 2. Relations to Application Life Cycle Management? 1. ALM is a business process. 2. Being Great at ALM requires incorporating technical debt management strategies. 3. Even incremental improvements in ALM can deliver large benefits in the form of agility, predictability, auditing, quality and productivity. 4. Paying down Technical Debt delivers incremental improvements 2
  • 3. What is Technical Debt? • Technical Debt is a metaphor (Ward Cunningham) • Result of “Quick and Dirty” Software Design. • A “Quick and Dirty” approach has short term benefits. • Intent: We will fix it later. 3
  • 4. How is Technical Debt Incurred? Expectations Actual Remaining Work Remaining Work Planned work Actual work and velocity and velocity Projected Planned Release Date work and velocity Time Time Planned Planned Release Date Release Date [Kane Mar and Michael James, Technical Debt and Design Death] 4
  • 5. Priority: On-Time, On-Budget, Technical Debt Visualized. Actual work and velocity  Pressure applied here Result = On Time, On Budget Remaining Work Claim = Productivity improved Area here is Technical Debt Planned work and velocity Time Planned Avoided / Full Quality Release Date Release Date [Kane Mar and Michael James, Technical Debt and Design Death]
  • 6. So What? Too Much Technical Debt  Bankruptcy! – Failed Customer Interactions (FCI) – Sev1, Sev2, etc – High TCOA (Ex: # BAU Resources) – Overly Complex & Brittle – Lost Productivity – Low Confidence 6
  • 7. How to Pay Down Technical Debt? Define Measurements Continually Identify Sources Monitor Apply Strategies and Tactics to Reduce 7
  • 8. How to Measure Technical Debt? • Maintainability Index: – Calculated value between 0 – 100 indicating code quality. – Recommendation: Group into three levels • Green = highly maintainable code. • Yellow = warning, code in danger of becoming red. • Red = difficult to maintain code. Cyclomatic Complexity: – Method level calculation of the number of independent execution paths. – Recommendation: Cyclomatic Complexity < 15. Depth of Inheritance: – Calculates the level of inheritance between classes – Recommendation: Depth of Inheritance < 4. 8
  • 9. What tools do we use? • Using the Toolset: – We Own (Nothing to buy) – We Know (Less Training) • Specifically Visual Studio 2008 provides: – Code Analysis – Rules based Code Inspection – Code Metrics – Calculate Indicators 9
  • 10. References • Ward Cunnigham – Technical Debt Metaphor • Steve McConnell – Technical Debt Articles – http://blogs.construx.com/blogs/stevemcc/archive/2007/11/01/technical- debt-2.aspx • Quent Herschelman (Microsoft) 10
  • 11. Reference: Can Technical Debt be used Strategically? • Reasons to Incur Technical Debt: – Quicker Time to Market – Delaying Development Expense (Application Sun Setting) – Preservation of Startup Capital 11

Editor's Notes

  1. Foreclosure, App sunset, funding of new app with same problems, sliding window
  2. Code Analysis pull assemblies from SIT? Blockers =&gt; no PDB?