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Achieving Agility at Scale
                         Improving Software Economics
                             Managing Innovation
                                    Martin Nally
                             CTO IBM Rational, IBM Fellow




                                                            Executive Summit Exec02



© 2009 IBM Corporation
IBM Rational Software Conference 2009


The nature of innovation


   Innovation is not the predictable realization of a new idea
   Innovation is a risky plunge into the unknown, but with a clear objective and a
   strong sense of general direction, a key idea




                         Executive Summit                                            2
IBM Rational Software Conference 2009


What I read on my vacation


                                  Magellan knew exactly what he wished to achieve and
                                  his general plan for getting there
                                        Find a passage through South America
                                        Claim the Moluccas (Slice Islands) for Spain
                                  There were many unknowns and risks along the way
                                  There was no detailed plan – he steered as he went




                                  How would Magellan have
                                  managed a software project?


                         Executive Summit                                               3
IBM Rational Software Conference 2009


The project model

Standard model                                            Modern model
Distinct development phase                          Continuously evolving systems

                                              No distinct boundary between development
Distinct handoff to maintenance
                                                           and maintenance

Requirements-design-code-test                      Sequence of released capabilities
sequence                                              with ever increasing value

Phase and role specific tools               Common platform of integrated process / tooling

Collocated teams                                 Distributed, web based collaboration

                                                    Economic governance tailored
Standard engineering governance
                                                       to risk / reward profiles

Engineering practitioner led                       Business value and outcome led


                         Executive Summit                                                 4
IBM Rational Software Conference 2009


Critical culture shifts
Conventional Governance                     Agile Governance
Activity-based management                   Results-based management
   Mature processes, PMI/PMBOK                More art than engineering
   Plan in detail, then track variances       Plan/steer/plan/steer…

Adversarial relationships                   Honest collaborative communication
   Paper exchange, speculation                Progressions/digressions, facts

Requirements first                          Architecture (risk mitigation) first
   Assumes certainty in desired product       Admits uncertainties
   Avoid change                               Manage change

Early false precision                       Evolving artifacts
   “More detail = higher quality”             Scope (Problem specs)
                                              Design (Solution specs)
                                              Constraints (Planning specs)

Apply too much or too little process        Right-size the process
   Process is primary, blind adherence        Desired results drive process
                                              Manage variances

                         Executive Summit                                          5
IBM Rational Software Conference 2009



    Schedule risk: Imagine you have 12 months to deliver
    a business critical system
     Your estimators tell you it will be done in 11 months


     What do you do with the information?
       Rest easy, believing there is no risk?




0                                 6                          12




                          Executive Summit                        6
IBM Rational Software Conference 2009



Maybe you realize that program parameters
(cost, schedule, effort, quality, …) are random variables
   Area under curve describes probability of measurement falling in range


            0.45

             0.4

            0.35                                                              Likelihood of actual value
             0.3
                                                                                falling in range is area
                                                                                      under curve
            0.25

             0.2

            0.15

             0.1

            0.05

               0
               00




                                           60




                                                         40




                                                                                                          20




                                                                                                                        00
                             80


                                    20




                                                  00




                                                                80


                                                                       20




                                                                                     00


                                                                                            40


                                                                                                   80




                                                                                                                 60
                      40




                                                                              60
             0.




                                         1.




                                                       2.




                                                                                                        5.




                                                                                                                      6.
                           0.


                                  1.




                                                2.




                                                              2.


                                                                     3.




                                                                                   4.


                                                                                          4.


                                                                                                 4.




                                                                                                               5.
                    0.




                                                                            3.




                                  Executive Summit                                                                           7
IBM Rational Software Conference 2009


Imagine you have 12 months to deliver a business
critical systems
    So you ask for the distribution and discover there is some uncertainty




0                                6                         12




                         Executive Summit                                    8
IBM Rational Software Conference 2009


Imagine you have 12 months to deliver a business
critical systems
    In fact there is less than 50% chance of making the date




                                                               48%




0                                6                        12




                         Executive Summit                            9
IBM Rational Software Conference 2009


Then what?


    Move out the date to improve likelihood of shipping?




                                                                95%




0                                6                         12     15




                         Executive Summit                              10
IBM Rational Software Conference 2009


Then what?


    Or move in the estimate by sacrificing quality or content?




                                                         95%




0                                6                          12




                         Executive Summit                        11
IBM Rational Software Conference 2009


Managing variances in scope, solution, plans:
The real key to improving software economics
   Sources of uncertainty           0.45

                                        0.4
   and variance
                                    0.35
      Lack of knowledge                 0.3

      Lack of confidence            0.25

                                        0.2
      Lack of agreement
                                    0.15
   Reduction of                         0.1

   variance reflects                0.05

      Increased predictability            0
                                         00


                                              40




                                                                  00




                                                                                                               60
                                                   80


                                                        20


                                                             60




                                                                            80


                                                                                 20


                                                                                      60




                                                                                                40


                                                                                                     80
                                                                       40




                                                                                           00




                                                                                                          20
      of outcome
                                        0.


                                              0.




                                                                  2.




                                                                                                               5.
                                                   0.


                                                        1.


                                                             1.




                                                                            2.


                                                                                 3.


                                                                                      3.




                                                                                                4.


                                                                                                     4.
                                                                       2.




                                                                                           4.




                                                                                                          5.
      Increased knowledge about
        Client needs
        Technology capability
        Team capability
      Good decisions


                          Executive Summit                                                                      12
IBM Rational Software Conference 2009


Then what?


    Determine the source of the variance


    Over the project lifecycle, reduce the variance to improve likelihood of shipping

                                                                 90%




0                                6                          12




                         Executive Summit                                               13
IBM Rational Software Conference 2009


Then what?


    Over the lifecycle, reduce the variance further to improve likelihood of shipping




                                                                    95%




0                                6                          12




                         Executive Summit                                               14
IBM Rational Software Conference 2009


Measure and steer
   At onset of program
     Report:         Establish estimates/variances of effort, cost, establish initial plan
     Collaborate:    Set initial scope and expectations with stakeholders
     Automate:       Establish a collaborative development environment


   At each iteration, improve estimates and report
     Report:         Values and variances of progress achieved, quality achieved, resources expended
     Collaborate:    With stakeholders to refine scope and plans
     Automate:       Manage changes to plans, baselines, test-beds
                                                                                                 Initial Plan


   Initial State
                                            Initial Planned Path                                 Uncertainty
                                                                                               in stakeholder
                                                                                             satisfaction space
                                                                                                Variance in
                           Actual Path                                                          estimate to
                                                                                                 complete



                         Executive Summit                                                                         15
IBM Rational Software Conference 2009

Agile Governance = Managing Uncertainty = Managing Variance

   A completion date is not a point in time, it is a probability distribution



      0                             6                             12

   Scope is not a requirements document, it is a continuous negotiation
      Plans/Resource estimates
      Scope
      Product features/quality



   A plan is not a prescription, it is an evolving,
   moving target                                                                  Uncertainty in
                                                                                   Stakeholder
                                                                                Satisfaction Space




          Initial State                                                         Initial Plan
                                 Actual path and precision of Scope/Plan


                          Executive Summit                                                       16
IBM Rational Software Conference 2009

Practices included as part of Rational Method
Composer




                         Executive Summit       17
IBM Rational Software Conference 2009


Agenda


   Transitioning to Agile Software Delivery
      Economic governance
      Steering and managing uncertainty


   Metrics and Measures
      Instrumentation for gaining control, improving efficiency and optimizing value


   Improving Software Economics
      A framework for improvement priorities




                         Executive Summit                                              18
IBM Rational Software Conference 2009


Software and systems need a control framework
                                                   Performance Measurement
                                                                                                        Value
                                                            Value Metrics
       Business Objectives          measures
                                                         e.g., ROI, ROA for SSD



                                                                                                    Efficiency
                                                 Operational Effectiveness Metrics




                                                                                         feedback
      Operational Objectives        measures
                                                    e.g., Time to market, productivity




                                                                                                      Control
   Process Definition / Practices
                                    measures       Practice                Practice
     Rational Method Composer
                                                Adoption/Maturity          Artifacts
                                                    subjective             Objective




        Process Enactment / Governance Enforcement / Process Awareness
                                         Jazz Platform


                           Executive Summit                                                                      19
IBM Rational Software Conference 2009


Meters for software and systems
development and delivery improvement
                                    BRIDGE to MCIF
   Value
      Return on Investment (ROI)
      Return on Assets (ROA)                               $0     Business    $15
      Product revenue profile                                      Value
                                                                     $M
   Efficiency
      Time to market, productivity
      Program portfolio investment profile
      Defect phase containment, scrap and rework rates     0%   Operational   100%
      Application service levels                                 Efficiency
      Defect densities, requirements churn, design churn
      Skills improvement, training cost reduction

   Control
      Practice adoption, project checkpoints                     Process
                                                           0%                 100%
      Artifact time between gates                                Adoption
      Collaboration, skills mix

                         Executive Summit                                           20
IBM Rational Software Conference 2009


Tailor to organizational and project context
   Agree on business value measures: Cost, profit, return on assets, market share, etc.
   Determine project mix type
      Choose appropriate operational measures
      Choose practices to achieve measures for project mix
      Establish measures and feedback channels for closed loop control

                                                Variance Examples
                                Low                      Medium                            High
   Value            Cost of operations         Market share growth               Profitability of one-of-a-
   (Business                                   Time to market for new features   kind system
   Measures)
   Efficiency       Cost per change request    Cost per change request           Architectural stability
   (Operational     Individual productivity    Team Productivity                 Organizational productivity
   Measure)
   Controls         Self check for practices   Beta releases                     Stakeholder
                                                                                 demonstrations
                                               Defect densities, removal rates
   Practices        Requirements management    Agile planning                    Shared vision
                    Change management          Test driven development           Risk based lifecycle
                    Iterative development
                                                                                 Evolutionary Architecture


                          Executive Summit                                                                     21
IBM Rational Software Conference 2009

Select practices and measures based on business
and operational objectives
 High # of defects (pre/post-ship)                                                             CEO                  Business Value                                      High support or maintenance costs without
 High maintenance costs (devt) of fixing defects                                                                                                                      high defect #s

 Customer downtime                                                                                                                                                        Low pipeline conversion

                                                                                                                    IT Quality Goals                                      Low customer satisfaction
                                                                                                   CIO



                                                            Dev. Mgr.       Development Quality Goals                                                                                 Operational Quality Goals


                                                                        ?                                                                ?
       High defects both pre-                                                                                                                                                        Non-functional Req. Issues
     and post-ship                                                                                                                                                                   High # of Help Desk Calls
                                                        Reduce Post-Delivery Defects                                  Deliver What Stakeholder Needs
        Growing defect backlog                                                                                                                                                       High Incidence Resolution Times
                                                                                         H      L                                                              M      L

                                                ?                                ?                                        ?                               ?

                                                                                                                                                 Improve Non-
                                     Increase Defect                    Increase Defect                      Deliver on Customer
                                                                                                                                               Functional Quality
                                        Prevention                         Detection                            Requirements
                                                             M      M                          H        L                           M    L         Attributes   M           L
      High post-ship or
    customer-reported                                                                                         Measures:                      Measures:
                                     Measures:                          Measures:
    defects                                                                                                  Post-ship problem reports        Post-ship problem reports
                                       Defect density                    Defect density, distribution
                                                                                                             Customer satisfaction            Customer satisfaction
       High error rates in             Defect arrival/closure            Defect arrival/closure rates
                                                                                                             Pipeline conversion?             Support / maint. costs
    fixes                            rates                               Defect removal effectiv.                                                                                     High Requirements Churn
                                                                                                             Support / maint. costs           Requirement test coverage
                                       Defect backlog                    Fixes failing verification
                                                                                                             Requirem. test coverage          Test execution results                  High Post Delivery Support
                                       Fixes failing verification        Test coverage
                                       Rework effort                     Test execution status               Requirements delivery                                                    Aging ER Backlog
                                                                                                             Survey of feature usage         Practices:
                                                                                                                                              Performance Testing
                                     Practices:                         Practices:
                                      Test-driven Dev.                                                                                        Requirements Mgnt.
                                                                         Test management                    Practices:
                                      Design-driven Implem.                                                  Shared Vision                    Shared Vision
                                                                         Continuous integration
                                      C&C management                                                         Use-case Driven Dev              Risk-Value Lifecycle
                                                                         Evolutionary Architecture
                                      System Component Arch.                                                 Requirements Mgnt.               Evolutionary Architecture
                                                                         Component Architecture
                                                                                                             Whole Team                       Test-Driven Development
                                      Whole team                         Test-driven dev.
                                      Pair Programming                                                       Iterative Dev.                   Iterative Development
                                                                         Test practices                                                                                                    Revenue / Cost
                                                                                                             Functional Testing               Evolutionary Design
                                      Review/Inspection                  Iterative Dev.
                                                                                                             C&C Management                   Component Architecture
                                                                         Risk Value Lifecycle
                                                                                                             Review/Inspection                Continuous Integration
                                                                         C&C Management                                                                                                      Value (H,M or L)
                                                                                                                                              Concurrent Testing
                                                                         Review/Inspection                                                                                                   Cost (H, M or L)
                                                                                                                                              Whole Team
                                                                                                                                              Review/Inspection                               Hot Component



                                                      Executive Summit                                                                                                                                                 22
IBM Rational Software Conference 2009


Agenda


   Transitioning to Agile Software Delivery
      Economic governance
      Steering and managing uncertainty


   Metrics and Measures
      Instrumentation for gaining control, improving efficiency and optimizing value


   Improving Software Economics
      A framework for improvement priorities




                         Executive Summit                                              23
IBM Rational Software Conference 2009


Four patterns of success in achieving Agility at Scale
1. Scope management              Asset based development
   Solutions evolve from requirements AND requirements evolve from available assets
   As opposed to getting all the requirements right up front


2. Process management              Rightsize the process
   Process and instrumentation rigor evolves from light to heavy
   As opposed to the entire project’s lifecycle process should be light
   or heavy depending on the character of the project


3. Progress management              Honest assessments
   Healthy projects display a sequence of progressions and digressions
   As opposed to progressing to 100% earned value with monotonically increasing
   progress against a static plan


4. Quality management             Incremental demonstrable results
   Testing needs to be a 1st class, full lifecycle activity
   As opposed to a subordinate, later lifecycle activity



                         Executive Summit                                             24
IBM Rational Software Conference 2009


Software cost models
                                                   Boehm COCOMO Effort Estimation Accuracy                                                                                                              ISBSG Effort Estimation Accuracy

                                                1000.00                                                                                                                                 1000.00
                        Effort (Staff-months)




                                                 100.00                                                                                                                                  100.00




                                                                                                                                                                       E ffort (L M )
                                                                                                                                    Rone Effort Estimation Accuracy
                                                  10.00                                                                                                                                   10.00
                                                                                                                      1000.00


                                                   1.00                                                                                                                                    1.00
                                                       100               1000               10000                     100000
                                                                                                                       100.00                                                                  1.00           10.00     100.00      1000.00    10000.00

                                                                                                        Effort (SM)
                                                                                Size (SLOC)                                                                                                                            Size (FP)


                                                                                                                        10.00
                                                             Jones Effort Estimation Accuracy                                                                                                     Basili & Bailey Effort Estimation Accuracy

                                                                                                                                                                                 1000.00
                                    1000.00
                                                                                                                         1.00
                                                                                                                             1.00        10.00      100.00                              1000.00          10000.00
                                                                                                                                                  Size (SLOC)
                                                100.00                                                                                                                                  100.00
               Effort (LM )




                                                                                                                                                             Effort (LM)
                                                 10.00                                                                                                                                   10.00




                                                  1.00
                                                                                                                                                                                          1.00
                                                      1.00       10.00            100.00      1000.00                 10000.00
                                                                                                                                                                                                  100         1000       10000       100000     1000000
                                                                                Size (FP)                                                                                                                             Size (SLOC)




    From George Stark, Paul Oman, “A comparison of parametric Software Estimation Models using real project data”, in press

                                                                          Executive Summit                                                                                                                                                                25
IBM Rational Software Conference 2009


Improving software economics
   Empirical software cost estimation models for:
      Enterprise modernization, software maintenance
      New developments, new releases, early prototypes
      Packaged applications, systems engineering


Time or Cost
  To Build = (Complexity) (Process) * (Team) * (Tools)


     Complexity                 Process                   Team                Tools
    Volume of human              Methods               Skills/Experience   Automation
    generated stuff              Maturity              Collaboration       Process enactment
    - KSLOC, FPs, UCs            Agility               Motivation
    Quality/performance          Precedence
    Scope



                          Executive Summit                                                     26
IBM Rational Software Conference 2009


   Achieve continuous improvement by measuring cost
   against business outcomes
                                                Improve              Improve              Improve            Increase Flexibility
                                               Automation          Collaboration          Process            & Investment Value


                                             Implement tools     Implement tools          Implement         Implement enterprise
                                               to integrate        & processes       iterative / adaptive    architecture & reuse
          Business                              workflows        & leverage skills        processes             web services
           Value                              Productivity:        Productivity:       Productivity:            Productivity:
                                                 5-25%              15-35%              25-100%                 50-200+%
                          ECONOMIC IMPACTS




                                              Timeframe = Days   Timeframe = Weeks    Timeframe = Months       Timeframe = Years




         Efficiency




            Control


Implementation costs                           Individual             Team             Organization             Business
are per person per year


                                                Executive Summit                                                                    27
IBM Rational Software Conference 2009

Improve process to increase productivity by 25%-100%
Implement iterative / adaptive processes


                               Perceived Progress Against Plan
                                                               Demo                   Test
                                                              Releases              Releases
    Business         Test and Release

     Value       Coding
                                    Requirements/Design



                                      True Technical Progress



                                        Late scrap
                                        and rework


    Efficiency                                Cost of Change
                              Integration
                                                                        Implementation
                                            Maintenance                    Unit Test
                   Implementation                         Integration              Maintenance
                      Unit Test


     Control




                             Executive Summit                                                    28
IBM Rational Software Conference 2009


Improving process and increasing flexibility                                                                 Improve
                                                                                                             Process
Reducing the significant uncertainties in quality                                                            and Increase
                                                                                                             Flexibility
and performance
                       WATERFALL DEVELOPMENT                                  ITERATIVE DEVELOPMENT
                                                                                AND AGILE DELIVERY

                   Late quality and performance insight        Continuous quality and performance insight allows
                  constrains flexibility to make tradeoffs      flexibility in trading off cost, quality, and features



      Measured       First indications
                     of performance                                                                 Demonstrated MTBF
      progress          challenges
           and
        quality

                                              Indications
                                            of other quality
                                              challenges                                                       Software
                                                                                                         MTBF allocation

                    Requirements/Design
                    Baseline and freeze                                Requirements/Design negotiation




                  Speculative quality requirements                    Release qualities that matter
                  Unpredictable cost/schedule performance             Quality progressions/digressions
                  Late shoehorning of suboptimal changes              Early requirement verification
                  that impact quality                                 and/or negotiation



                                Executive Summit                                                                            29
Slide 29

A1         4) finally, on slide 4, i changed the heading that was iterative development to both iterative development and agile delivery. not sure if
           that matters but it matches my paper and danny may prefer agile delivery rather than iterative development.
           Author, 4/29/2009
IBM Rational Software Conference 2009

Measured Capability Improvement Framework (MCIF):
A systematic approach to software excellence
           Determine
        right solution    Phase     Elicit and set business value objectives
            to deploy       1
                                        Business objectives, contexts to operate
                                        within, and development approaches

                          Phase     Determine the solution components
                            2
                                    Incremental improvement roadmap
                                    Do Financial Analysis
     Deploy solution
                          Phase     Accelerate and monitor solution adoption using Rational’s
      and measure           3
             results                preferred approach
                                        Deploy practices and tools
                                        Adopt proper usage model to maximize ROI
                                        Measure and adapt
                          Phase
                            4       Review and communicate business results
                                        Compile business value and results
        Confirm results delivered
        and start on next project       Conduct formal review with stakeholders

                          Executive Summit                                                      30
IBM Rational Software Conference 2009


Some final thoughts



                Software delivery is a discipline of software economics
                          balancing risks and opportunities

                Process enactment and measurement are imperatives
                            to achieving agility at scale

               Software delivery requires a platform that is architected
                    for automation, collaboration and reporting




                         Executive Summit                                  31
IBM Rational Software Conference 2009




© Copyright IBM Corporation 2009. All rights reserved. The information contained in these materials is provided for informational purposes only, and is provided AS IS without warranty of any kind,
express or implied. IBM shall not be responsible for any damages arising out of the use of, or otherwise related to, these materials. Nothing contained in these materials is intended to, nor shall have
the effect of, creating any warranties or representations from IBM or its suppliers or licensors, or altering the terms and conditions of the applicable license agreement governing the use of IBM
software. References in these materials to IBM products, programs, or services do not imply that they will be available in all countries in which IBM operates. Product release dates and/or capabilities
referenced in these materials may change at any time at IBM’s sole discretion based on market opportunities or other factors, and are not intended to be a commitment to future product or feature
availability in any way. IBM, the IBM logo, Rational, the Rational logo, Telelogic, the Telelogic logo, and other IBM products and services are trademarks of the International Business Machines
Corporation, in the United States, other countries or both. Other company, product, or service names may be trademarks or service marks of others.


                                                  Executive Summit                                                                                                                              32

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Achieving Agility At Scale - Martin Nally

  • 1. Achieving Agility at Scale Improving Software Economics Managing Innovation Martin Nally CTO IBM Rational, IBM Fellow Executive Summit Exec02 © 2009 IBM Corporation
  • 2. IBM Rational Software Conference 2009 The nature of innovation Innovation is not the predictable realization of a new idea Innovation is a risky plunge into the unknown, but with a clear objective and a strong sense of general direction, a key idea Executive Summit 2
  • 3. IBM Rational Software Conference 2009 What I read on my vacation Magellan knew exactly what he wished to achieve and his general plan for getting there Find a passage through South America Claim the Moluccas (Slice Islands) for Spain There were many unknowns and risks along the way There was no detailed plan – he steered as he went How would Magellan have managed a software project? Executive Summit 3
  • 4. IBM Rational Software Conference 2009 The project model Standard model Modern model Distinct development phase Continuously evolving systems No distinct boundary between development Distinct handoff to maintenance and maintenance Requirements-design-code-test Sequence of released capabilities sequence with ever increasing value Phase and role specific tools Common platform of integrated process / tooling Collocated teams Distributed, web based collaboration Economic governance tailored Standard engineering governance to risk / reward profiles Engineering practitioner led Business value and outcome led Executive Summit 4
  • 5. IBM Rational Software Conference 2009 Critical culture shifts Conventional Governance Agile Governance Activity-based management Results-based management Mature processes, PMI/PMBOK More art than engineering Plan in detail, then track variances Plan/steer/plan/steer… Adversarial relationships Honest collaborative communication Paper exchange, speculation Progressions/digressions, facts Requirements first Architecture (risk mitigation) first Assumes certainty in desired product Admits uncertainties Avoid change Manage change Early false precision Evolving artifacts “More detail = higher quality” Scope (Problem specs) Design (Solution specs) Constraints (Planning specs) Apply too much or too little process Right-size the process Process is primary, blind adherence Desired results drive process Manage variances Executive Summit 5
  • 6. IBM Rational Software Conference 2009 Schedule risk: Imagine you have 12 months to deliver a business critical system Your estimators tell you it will be done in 11 months What do you do with the information? Rest easy, believing there is no risk? 0 6 12 Executive Summit 6
  • 7. IBM Rational Software Conference 2009 Maybe you realize that program parameters (cost, schedule, effort, quality, …) are random variables Area under curve describes probability of measurement falling in range 0.45 0.4 0.35 Likelihood of actual value 0.3 falling in range is area under curve 0.25 0.2 0.15 0.1 0.05 0 00 60 40 20 00 80 20 00 80 20 00 40 80 60 40 60 0. 1. 2. 5. 6. 0. 1. 2. 2. 3. 4. 4. 4. 5. 0. 3. Executive Summit 7
  • 8. IBM Rational Software Conference 2009 Imagine you have 12 months to deliver a business critical systems So you ask for the distribution and discover there is some uncertainty 0 6 12 Executive Summit 8
  • 9. IBM Rational Software Conference 2009 Imagine you have 12 months to deliver a business critical systems In fact there is less than 50% chance of making the date 48% 0 6 12 Executive Summit 9
  • 10. IBM Rational Software Conference 2009 Then what? Move out the date to improve likelihood of shipping? 95% 0 6 12 15 Executive Summit 10
  • 11. IBM Rational Software Conference 2009 Then what? Or move in the estimate by sacrificing quality or content? 95% 0 6 12 Executive Summit 11
  • 12. IBM Rational Software Conference 2009 Managing variances in scope, solution, plans: The real key to improving software economics Sources of uncertainty 0.45 0.4 and variance 0.35 Lack of knowledge 0.3 Lack of confidence 0.25 0.2 Lack of agreement 0.15 Reduction of 0.1 variance reflects 0.05 Increased predictability 0 00 40 00 60 80 20 60 80 20 60 40 80 40 00 20 of outcome 0. 0. 2. 5. 0. 1. 1. 2. 3. 3. 4. 4. 2. 4. 5. Increased knowledge about Client needs Technology capability Team capability Good decisions Executive Summit 12
  • 13. IBM Rational Software Conference 2009 Then what? Determine the source of the variance Over the project lifecycle, reduce the variance to improve likelihood of shipping 90% 0 6 12 Executive Summit 13
  • 14. IBM Rational Software Conference 2009 Then what? Over the lifecycle, reduce the variance further to improve likelihood of shipping 95% 0 6 12 Executive Summit 14
  • 15. IBM Rational Software Conference 2009 Measure and steer At onset of program Report: Establish estimates/variances of effort, cost, establish initial plan Collaborate: Set initial scope and expectations with stakeholders Automate: Establish a collaborative development environment At each iteration, improve estimates and report Report: Values and variances of progress achieved, quality achieved, resources expended Collaborate: With stakeholders to refine scope and plans Automate: Manage changes to plans, baselines, test-beds Initial Plan Initial State Initial Planned Path Uncertainty in stakeholder satisfaction space Variance in Actual Path estimate to complete Executive Summit 15
  • 16. IBM Rational Software Conference 2009 Agile Governance = Managing Uncertainty = Managing Variance A completion date is not a point in time, it is a probability distribution 0 6 12 Scope is not a requirements document, it is a continuous negotiation Plans/Resource estimates Scope Product features/quality A plan is not a prescription, it is an evolving, moving target Uncertainty in Stakeholder Satisfaction Space Initial State Initial Plan Actual path and precision of Scope/Plan Executive Summit 16
  • 17. IBM Rational Software Conference 2009 Practices included as part of Rational Method Composer Executive Summit 17
  • 18. IBM Rational Software Conference 2009 Agenda Transitioning to Agile Software Delivery Economic governance Steering and managing uncertainty Metrics and Measures Instrumentation for gaining control, improving efficiency and optimizing value Improving Software Economics A framework for improvement priorities Executive Summit 18
  • 19. IBM Rational Software Conference 2009 Software and systems need a control framework Performance Measurement Value Value Metrics Business Objectives measures e.g., ROI, ROA for SSD Efficiency Operational Effectiveness Metrics feedback Operational Objectives measures e.g., Time to market, productivity Control Process Definition / Practices measures Practice Practice Rational Method Composer Adoption/Maturity Artifacts subjective Objective Process Enactment / Governance Enforcement / Process Awareness Jazz Platform Executive Summit 19
  • 20. IBM Rational Software Conference 2009 Meters for software and systems development and delivery improvement BRIDGE to MCIF Value Return on Investment (ROI) Return on Assets (ROA) $0 Business $15 Product revenue profile Value $M Efficiency Time to market, productivity Program portfolio investment profile Defect phase containment, scrap and rework rates 0% Operational 100% Application service levels Efficiency Defect densities, requirements churn, design churn Skills improvement, training cost reduction Control Practice adoption, project checkpoints Process 0% 100% Artifact time between gates Adoption Collaboration, skills mix Executive Summit 20
  • 21. IBM Rational Software Conference 2009 Tailor to organizational and project context Agree on business value measures: Cost, profit, return on assets, market share, etc. Determine project mix type Choose appropriate operational measures Choose practices to achieve measures for project mix Establish measures and feedback channels for closed loop control Variance Examples Low Medium High Value Cost of operations Market share growth Profitability of one-of-a- (Business Time to market for new features kind system Measures) Efficiency Cost per change request Cost per change request Architectural stability (Operational Individual productivity Team Productivity Organizational productivity Measure) Controls Self check for practices Beta releases Stakeholder demonstrations Defect densities, removal rates Practices Requirements management Agile planning Shared vision Change management Test driven development Risk based lifecycle Iterative development Evolutionary Architecture Executive Summit 21
  • 22. IBM Rational Software Conference 2009 Select practices and measures based on business and operational objectives High # of defects (pre/post-ship) CEO Business Value High support or maintenance costs without High maintenance costs (devt) of fixing defects high defect #s Customer downtime Low pipeline conversion IT Quality Goals Low customer satisfaction CIO Dev. Mgr. Development Quality Goals Operational Quality Goals ? ? High defects both pre- Non-functional Req. Issues and post-ship High # of Help Desk Calls Reduce Post-Delivery Defects Deliver What Stakeholder Needs Growing defect backlog High Incidence Resolution Times H L M L ? ? ? ? Improve Non- Increase Defect Increase Defect Deliver on Customer Functional Quality Prevention Detection Requirements M M H L M L Attributes M L High post-ship or customer-reported Measures: Measures: Measures: Measures: defects Post-ship problem reports Post-ship problem reports Defect density Defect density, distribution Customer satisfaction Customer satisfaction High error rates in Defect arrival/closure Defect arrival/closure rates Pipeline conversion? Support / maint. costs fixes rates Defect removal effectiv. High Requirements Churn Support / maint. costs Requirement test coverage Defect backlog Fixes failing verification Requirem. test coverage Test execution results High Post Delivery Support Fixes failing verification Test coverage Rework effort Test execution status Requirements delivery Aging ER Backlog Survey of feature usage Practices: Performance Testing Practices: Practices: Test-driven Dev. Requirements Mgnt. Test management Practices: Design-driven Implem. Shared Vision Shared Vision Continuous integration C&C management Use-case Driven Dev Risk-Value Lifecycle Evolutionary Architecture System Component Arch. Requirements Mgnt. Evolutionary Architecture Component Architecture Whole Team Test-Driven Development Whole team Test-driven dev. Pair Programming Iterative Dev. Iterative Development Test practices Revenue / Cost Functional Testing Evolutionary Design Review/Inspection Iterative Dev. C&C Management Component Architecture Risk Value Lifecycle Review/Inspection Continuous Integration C&C Management Value (H,M or L) Concurrent Testing Review/Inspection Cost (H, M or L) Whole Team Review/Inspection Hot Component Executive Summit 22
  • 23. IBM Rational Software Conference 2009 Agenda Transitioning to Agile Software Delivery Economic governance Steering and managing uncertainty Metrics and Measures Instrumentation for gaining control, improving efficiency and optimizing value Improving Software Economics A framework for improvement priorities Executive Summit 23
  • 24. IBM Rational Software Conference 2009 Four patterns of success in achieving Agility at Scale 1. Scope management Asset based development Solutions evolve from requirements AND requirements evolve from available assets As opposed to getting all the requirements right up front 2. Process management Rightsize the process Process and instrumentation rigor evolves from light to heavy As opposed to the entire project’s lifecycle process should be light or heavy depending on the character of the project 3. Progress management Honest assessments Healthy projects display a sequence of progressions and digressions As opposed to progressing to 100% earned value with monotonically increasing progress against a static plan 4. Quality management Incremental demonstrable results Testing needs to be a 1st class, full lifecycle activity As opposed to a subordinate, later lifecycle activity Executive Summit 24
  • 25. IBM Rational Software Conference 2009 Software cost models Boehm COCOMO Effort Estimation Accuracy ISBSG Effort Estimation Accuracy 1000.00 1000.00 Effort (Staff-months) 100.00 100.00 E ffort (L M ) Rone Effort Estimation Accuracy 10.00 10.00 1000.00 1.00 1.00 100 1000 10000 100000 100.00 1.00 10.00 100.00 1000.00 10000.00 Effort (SM) Size (SLOC) Size (FP) 10.00 Jones Effort Estimation Accuracy Basili & Bailey Effort Estimation Accuracy 1000.00 1000.00 1.00 1.00 10.00 100.00 1000.00 10000.00 Size (SLOC) 100.00 100.00 Effort (LM ) Effort (LM) 10.00 10.00 1.00 1.00 1.00 10.00 100.00 1000.00 10000.00 100 1000 10000 100000 1000000 Size (FP) Size (SLOC) From George Stark, Paul Oman, “A comparison of parametric Software Estimation Models using real project data”, in press Executive Summit 25
  • 26. IBM Rational Software Conference 2009 Improving software economics Empirical software cost estimation models for: Enterprise modernization, software maintenance New developments, new releases, early prototypes Packaged applications, systems engineering Time or Cost To Build = (Complexity) (Process) * (Team) * (Tools) Complexity Process Team Tools Volume of human Methods Skills/Experience Automation generated stuff Maturity Collaboration Process enactment - KSLOC, FPs, UCs Agility Motivation Quality/performance Precedence Scope Executive Summit 26
  • 27. IBM Rational Software Conference 2009 Achieve continuous improvement by measuring cost against business outcomes Improve Improve Improve Increase Flexibility Automation Collaboration Process & Investment Value Implement tools Implement tools Implement Implement enterprise to integrate & processes iterative / adaptive architecture & reuse Business workflows & leverage skills processes web services Value Productivity: Productivity: Productivity: Productivity: 5-25% 15-35% 25-100% 50-200+% ECONOMIC IMPACTS Timeframe = Days Timeframe = Weeks Timeframe = Months Timeframe = Years Efficiency Control Implementation costs Individual Team Organization Business are per person per year Executive Summit 27
  • 28. IBM Rational Software Conference 2009 Improve process to increase productivity by 25%-100% Implement iterative / adaptive processes Perceived Progress Against Plan Demo Test Releases Releases Business Test and Release Value Coding Requirements/Design True Technical Progress Late scrap and rework Efficiency Cost of Change Integration Implementation Maintenance Unit Test Implementation Integration Maintenance Unit Test Control Executive Summit 28
  • 29. IBM Rational Software Conference 2009 Improving process and increasing flexibility Improve Process Reducing the significant uncertainties in quality and Increase Flexibility and performance WATERFALL DEVELOPMENT ITERATIVE DEVELOPMENT AND AGILE DELIVERY Late quality and performance insight Continuous quality and performance insight allows constrains flexibility to make tradeoffs flexibility in trading off cost, quality, and features Measured First indications of performance Demonstrated MTBF progress challenges and quality Indications of other quality challenges Software MTBF allocation Requirements/Design Baseline and freeze Requirements/Design negotiation Speculative quality requirements Release qualities that matter Unpredictable cost/schedule performance Quality progressions/digressions Late shoehorning of suboptimal changes Early requirement verification that impact quality and/or negotiation Executive Summit 29
  • 30. Slide 29 A1 4) finally, on slide 4, i changed the heading that was iterative development to both iterative development and agile delivery. not sure if that matters but it matches my paper and danny may prefer agile delivery rather than iterative development. Author, 4/29/2009
  • 31. IBM Rational Software Conference 2009 Measured Capability Improvement Framework (MCIF): A systematic approach to software excellence Determine right solution Phase Elicit and set business value objectives to deploy 1 Business objectives, contexts to operate within, and development approaches Phase Determine the solution components 2 Incremental improvement roadmap Do Financial Analysis Deploy solution Phase Accelerate and monitor solution adoption using Rational’s and measure 3 results preferred approach Deploy practices and tools Adopt proper usage model to maximize ROI Measure and adapt Phase 4 Review and communicate business results Compile business value and results Confirm results delivered and start on next project Conduct formal review with stakeholders Executive Summit 30
  • 32. IBM Rational Software Conference 2009 Some final thoughts Software delivery is a discipline of software economics balancing risks and opportunities Process enactment and measurement are imperatives to achieving agility at scale Software delivery requires a platform that is architected for automation, collaboration and reporting Executive Summit 31
  • 33. IBM Rational Software Conference 2009 © Copyright IBM Corporation 2009. All rights reserved. The information contained in these materials is provided for informational purposes only, and is provided AS IS without warranty of any kind, express or implied. IBM shall not be responsible for any damages arising out of the use of, or otherwise related to, these materials. Nothing contained in these materials is intended to, nor shall have the effect of, creating any warranties or representations from IBM or its suppliers or licensors, or altering the terms and conditions of the applicable license agreement governing the use of IBM software. References in these materials to IBM products, programs, or services do not imply that they will be available in all countries in which IBM operates. Product release dates and/or capabilities referenced in these materials may change at any time at IBM’s sole discretion based on market opportunities or other factors, and are not intended to be a commitment to future product or feature availability in any way. IBM, the IBM logo, Rational, the Rational logo, Telelogic, the Telelogic logo, and other IBM products and services are trademarks of the International Business Machines Corporation, in the United States, other countries or both. Other company, product, or service names may be trademarks or service marks of others. Executive Summit 32