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Avoiding measurement programme pitfalls
1.
Avoiding measurement programme pitfalls aas Robert
van Lieshout Alert Automation Services Pink Roccade
2.
Introduction aas ! Robert van Lieshout
- robert.van.lieshout@aas.nl – SPI consultant & trainer ! Alert Automation Services - www.aas.nl – Pink Roccade competence center – Product, Process & Organization – Consultancy, training and project services ! Pink Roccade - www.pinkroccade.nl – Dutch top 3 ICT company, 7700+ employees © Alert Automation Services 2
3.
Contents aas ! Once upon a
time ! Snakes and Ladders ! The ultimate measurement programme pit ! Summary ! Questions © Alert Automation Services 3
4.
Once upon a
time aas Special Products International Ltd. Develops complex electronic gadgets with embedded software. Software department has started a measurement programme. © Alert Automation Services 4
5.
Snakes and Ladders aas !
We will examine some common pitfalls and ways to avoid them ! There are many more pits on the way to successful software measurement, but they have less dangerous snakes © Alert Automation Services 5
6.
The start of
a programme aas ! Select a pilot project ! Get commitment – from the project team – from management ! Communicate © Alert Automation Services 6
7.
First attempt aas Measures: ! planned
and actual effort ! planned and actual duration Result: ! a difference of 15% between planned and actual data © Alert Automation Services 7
8.
Why measure? aas ! Measurement goals
relate to business goals ! Measurement programme answers questions Goal 1 Goal 2 Hypotheses Q1 Source: G/Q/M Method M1 Q2 M2 Q3 M3 M4 M5 © Alert Automation Services Q4 M6 M7 8
9.
Second attempt aas Goal: ! Improve
the accuracy of estimations of effort and duration to within a 10% margin. Questions: ! What is the average estimation accuracy? Result: ! Estimation accuracy unchanged © Alert Automation Services 9
10.
What is realistic? aas Improve Control Understand Source:
G/Q/M Method © Alert Automation Services 10
11.
Third attempt aas Goal: ! Understand
what influences the accuracy of estimations of effort and duration Hypothesis: ! Estimation method and staff experience are the key issues © Alert Automation Services 11
12.
Third attempt aas Measures: ! Estimation
accuracy, estimation method, staff experience Result: ! Inconclusive data © Alert Automation Services 12
13.
Which measures? aas ! Easy to
collect ! Provide answers to the questions ! Give good life cycle coverage ! Best practices are available: – Practical Software & Systems Measurement – Putnam & Myers (QSM) © Alert Automation Services 13
14.
Fourth attempt Goal: ! Understand
what influences the accuracy of estimations of effort and duration Measures: ! Planned & Actual effort, duration, size, defects Result: ! Disagreement about defect measurement © Alert Automation Services aas 14
15.
What does it
mean? aas ! Definition must be unambiguous ! Describe the what, when & how Source: CMU/SEI -92-TR-19 © Alert Automation Services 15
16.
How to present
results? ! Use indicators ! Be consistent, simple and clear ! One measure by itself is not the whole story Gantt Chart S S 24 7 24 Aggregate Staffing Rate S S 7 24 7 24 Total Cum Effort S S 7 50 Maint Jan '96 3 Jul 9 Jan '97 15 Jul 21 Jan '98 27 Jul * Jan '96 Total Defect Rate S S 24 7 24 S S 27 Jul 0 * Jan '96 9 Jan '97 15 Jul 21 Jan '98 3 Jul 3 Jul 9 Jan '97 15 Jul 21 Jan '98 27 Jul 27 Jul Current Plan Actual Interpolated S = Start, 2 = DDES, 4 = CUT, 7 = DEL 0 * S S 24 7 24 3 Jul 9 Jan '97 15 Jul 21 Jan '98 27 Jul 0 * 24 7 24 7 3 Jul 9 Jan '97 15 Jul 21 Jan '98 27 Jul 0 * Date 12/6/97 (19.18 mos) 7 Green Control Bound 21 Jan '98 40 Jan '96 60 20 Jan '96 15 Jul 80 0 * 40 Current Forecast 9 Jan '97 Total MTTD S S 7 27 Jul 0 * $ (millions) 600 200 3 Jul 24 7 24 Total Cum Cost 7 400 Jan '96 1000 Jan '96 1000 ESLOC (thousands) 24 7 24 2000 0 * 2000 Size S S 27 Jul Days Jan '96 21 Jan '98 21 Jan '98 7 Defects 100 15 Jul 15 Jul Defects 200 9 Jan '97 9 Jan '97 Total Cum Normalized Defects 7 300 3 Jul 3 Jul 24 7 24 PM 100 People 150 MB aas Elapsed Months Agg. Staff Total Cum Effort (PM) Total Defect Rate Total Cum Normal Defects Total MTTD (Days) Size (ESLOC(K)) Total Cum Cost ($ M) PI Yellow Control Bound © Alert Automation Services Plan 18.52 24.17 1338.99 4 1622 5.06 398.54 30 18.6 Actual/ Forecast 18.52 81.45 1746.07 9 1044 2.53 443.40 39 16.8 %Diff 0.0 237.0 30.4 96.4 -35.6 -50.0 11.3 30.4 -9.7 Source: QSM Life Cycle includes MB, Maint 16
17.
The ultimate pit aas !
... is sitting around for 6 months trying to think up the perfect measurement programme ! Take a little time to avoid the worst mistakes, but you will make some mistakes, so best get started and get the mistakes over with © Alert Automation Services 17
18.
Summary aas 1.Know why you
are measuring 2.Know what results you are expecting 3.Set a realistic goal, understand first 4.Choose the right measures 5.Define the measures unambiguously 6.Discuss and analyze the results 7.Get started today © Alert Automation Services 18
19.
References aas ! The Goal/Question/Metric Berghout,
ISBN 0-07-709553-7 ! Practical Software http://www.psmsc.com/ Method, v.Solingen & & Systems Measurement, ! Software Measurement for DoD Systems: Recommendations for Initial Core Measures, Carleton et al, CMU/SEI-92-TR-19 ! Measures for Excellence: Reliable Software On Time Within Budget, Putnam & Myers, ISBN 0-13567694-0 © Alert Automation Services 19
20.
Questions? aas
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