AGILE PRODUCTIVITY METRICS

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1 BIO PRESENTATION WK2 6/28/ :00 AM AGILE PRODUCTIVITY METRICS Michael Mah QSM Associates, Inc. Better Software Conference June 26 29, 2006 Las Vegas, NV USA

2 Michael Mah Michael Mah is a contributing author of IT Measurement, Advice from the Experts and the upcoming book, Optimal Friction, People Dynamics at Work in the Information Age. Michael also publishes his writing on-line through the Cutter Consortium. His areas of expertise include organizational development, IT negotiation, software project estimation, productivity benchmarking, outsourcing, risk management, and project runway prevention. Michael has been a keynote and featured speaker for the Carnegie Mellon Software Engineering Process Group Conference, the Better Software Conference & EXPO, the Cutter Summit series, and numerous Project Management Institute and SEI SPIN chapter meetings.

3 Better Software Conference & Expo June 26-29, 2006 Agile Productivity Metrics: XP and Productivity Measures What the Numbers Say Michael Mah Managing Partner QSM Associates, Inc. 75 South Church Street Pittsfield, MA Fax Website: Blog: 4/19/2006 1

4 Manifesto for Agile Software Development We are uncovering better ways of developing software by doing it and helping others do it. Through this work we have come to value: Individuals and interactions over processes and tools working software over comprehensive documentation Customer collaboration over contract negotiation responding to change over following a plan That is, while there is value in the items on the right, we value the items on the left more Kent Beck, Mike Beedle, Arie van Bennekum, Alistair Cockburn, Ward Cunningham, James Grenning, Jim Highsmith, Andrew Hunt, Ron Jeffries, Jon Kern, Brian Marick, Robert C. Martin, Steve Mellor, Ken Schwaber, Jeff Sutherland, Dave Thomas, Martin Fowler 4/19/2006 2

5 Frothy eloquence neither convinces nor satisfies me. I am from Missouri. You have got to show me. - Missouri Congressman Willard Duncan Vandiver, /19/2006 3

6 4/19/2006 4

7 Industry Data from the QSM SLIM-Metrics Database Spans 20+ years Large heterogeneous database contains over 7,000+ projects Represents over 685+ million SLOC, 7+ million function points, over 600 languages, from 500+ organizations in 18 countries Adding projects/year 4/19/2006 5

8 4/19/2006 6

9 Agile Measurement Approach 1 - COLLECT AND VALIDATE PROJECT DATA 2 - ANALYZE PROJECTS USING QSM REFERENCE DATABASE Overview of Database Number of Projects vs Division Avg, Min, Max PI Grade vs Division Desktop Faxes 5.0 Desktop Faxes High End Systems 3.0 Division High End Systems Division Mobile Coms 3.0 Mobile Coms Number of Projects Average Value of Metrics Number of Projects Life Cycle Effort vs ESLOC 100 New Percent SLOC Modified % SLOC Unmodified % SLOC Life Effort (MHR) (thousands) Number of Projects ESLOC (thousands) 0.01 ALL Systems Fax Corp 1997base Avg. 4 - DOCUMENT RESULTS 3 - DETERMINE PROCESS METRICS & PROJECT POSITIONING 4/19/2006 7

10 We ve got to make our deadline or kill our kids, Sam told his team. 4/19/2006 8

11 4/19/2006 9

12 Industrial XP Environment 4/19/

13 Industrial XP Environment 4/19/

14 Industrial XP Environment Photo courtesy of Joshua Kerievsky 4/19/

15 Industrial XP Environment Photo courtesy of Joshua Kerievsky 4/19/

16 Traditional Release Whiteboard Sketch Traditional Release 1 4/19/

17 Digitized Replica Using SLIM Staffing & Probability Analysis R&D C&T 1 Avg Staff (people) <Single Goal - MBI > Milestones 0 - CSR 1 - SRR 2 - HLDR 3 - LLDR 4 - CUT 5 - IC 6 - STC 7 - UAT 8 - FCR 9-99R R Avg Staff (people) Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep '01 '02 '03 0 SOLUTION PANEL <Single Goal - MBI > Duration Effort Cost Peak Staff MTTD C&T Life Cycle Months PM $ (K) people Days Start Date 9/29/2001 7/1/2001 PI=17.0 MBI=1.2 Eff SLOC= CONTROL PANEL <Single Goal - MBI > PI Peak Staff Eff SLOC (K) Project: Condor 4/19/

18 XP Releases Whiteboard Sketch Agile 1 Agile 3 Agile 2 4/19/

19 Digitized Replica Using SLIM tm Staffing & Probability Analysis R&D C&T Avg Staff (people) <XP Rel. 3.0> Milestones 0 - CSR 1 - SRR 2 - HLDR 3 - LLDR 4 - CUT 5 - IC 6 - STC 7 - UAT 8 - FCR 9-99R R Avg Staff (people) Apr ' May Jun Jul Aug Sep Oct Nov Dec Jan Feb '03 Mar 0 Duration Effort Cost Peak Staff MTTD Start Date SOLUTION PANEL <XP Rel. 3.0> C&T Life Cycle /31/2002 6/1/2002 PI=20.7 MBI=3.8 Eff SLOC=67023 Months PM $ (K) people Days PI CONTROL PANEL <XP Rel. 3.0> Peak Staff Eff SLOC (K) Project: Elan 3.0 4/19/

20 Digitized Replica Using SLIM tm Staffing & Probability Analysis R&D C&T 1 2 Avg Staff (people) <XP Rel. 3.2> Milestones 0 - CSR 1 - SRR 2 - HLDR 3 - LLDR 4 - CUT 5 - IC 6 - STC 7 - UAT 8 - FCR 9-99R R Avg Staff (people) Jan ' Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep '04 0 Duration Effort Cost Peak Staff MTTD Start Date SOLUTION PANEL <XP Rel. 3.2> C&T Life Cycle /30/2003 3/1/2003 PI=14.8 MBI=1.3 Eff SLOC=76276 Months PM $ (K) people Days PI CONTROL PANEL <XP Rel. 3.2> Peak Staff Eff SLOC (K) Project: Elan 3.2 4/19/

21 4/19/

22 David Tara /19/

23 4/19/

24 4/19/

25 Schedule Comparison C&T Duration (Months) vs Effective SLOC 100 Fast Schedules on Traditional Projects Even Faster on Agile Projects Traditional 1 Agile 2 Agile 1 Traditional 2 10 C&T Duration (Months) Agile Effective SLOC (thousands) All Systems Special Project QSM 2002 Scientific Avg. Line Style 1 Sigma Line Style 4/19/

26 Defect Comparison Errors SIT-FOC vs Effective SLOC High Defects on Traditional Projects Low Defects on Agile Projects Traditional Traditional 2 Agile Errors SIT-FOC Agile 3 Agile Effective SLOC (thousands) All Sy stems Special Project QSM 2002 Scientific Av g. Line Sty le 1 Sigma Line Sty le 4/19/

27 Example PI Calculation Size = 376,022 SLOC Condor PI = SIZE TIME EFFORT = 17 * Effort = 347 Person- Months Time = 24 Months 4/19/

28 Business Scientific System Productivity Index (PI) (industry values by application type) Information Process Control Engineering Telecommunications Command and Control Real Time Avionics Real Time Microcode Productivity Index (PI) w/ ±1 Standard Deviation 4/19/

29 Before vs. After Summary Previous Performance Current Performance Percent Improvement Project Cost $2.8 Million $1.1 Million 61% Project Schedule 18 months 13.5 months 24% Cumulative Defects 2, % Staffing % * Using average project size of 150,000 lines of new and modified code 4/19/

30 4/19/

31 4/19/

32 4/19/

33 Metrics Tools Used for this Analysis SLIM- Estimate Size, Schedule, Cost & Quality Estimating SLIM- Metrics Metrics Repository & Analysis Statistical Process Control & Adaptive Forecasting SLIM- Control 4/19/

34 Without metrics, you re just another person with a different opinion. 4/19/

35 Recommended Reading Honore, Carl, In Praise of Slowness, How A Worldwide Movement is Challenging the Cult of Speed, 2004 HarperSanFrancisco Gladwell, Malcolm, Blink; The Power of Thinking Without Thinking 2005 Little, Brown. Mah, Michael, The Making of the Agile IT Executive Business IT Strategies Advisory Executive Report Vol 6 Number Cutter Information Corp. Putnam, Lawrence H., and Myers, Ware, Five Core Metrics, The Intelligence Behind Successful Software Management 2003 Dorset House Publishers. 4/19/

36 Recommended Reading Demarco, Tom and Tim Lister Waltzing With Bears, Managing Risk on Software Projects 2003 Dorset House. Ury, William, Getting Past NO 1993 Bantam. Fisher, Roger and Alan Sharp, Getting It Done, How to Lead When You re Not in Charge, 1998 HarperCollins. Heen, Sheila, Doug Stone and Bruce Patton Difficult Conversations - How to Discuss What Matters Most, 1999 Viking/Penguin. 4/19/

37 Recommended Web Resources Blogosphere: QSM Associates Web Library/Resource Center: 4/19/

38 For Additional Information Contact: Michael Mah Managing Partner QSM Associates Inc. Clocktower Building 75 So. Church St., Suite 600 Pittsfield, MA Web url: 4/19/

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