1 A Software Project Management Method: A 3 Sergio Coronado, [email protected] José Alberto Jaén,...

1

A Software Project Management Method: A3

Sergio Coronado, [email protected]

José Alberto Jaén, [email protected]

UNIVERSIDAD POLITECNICA DE MADRIDEscuela Técnica Superior de Ingenieros Industriales

2

Content

• Motivation & Problem

• Methodology Steps

• Activity Network Simulation & Sensibility Analysis

• Examples

• Conclusion

3

Motivation & Problem (1)

• Corporate America spends more than $275 billion each year on approximately 200,000 application software projects. Many of these will fail, but not for lack of money or technology; most will fail for lack of skilled project management. (Standish Group, CHAOS Chronicles 2001)

• MSL Software, a Spanish company, had been contract by IBM to develop all the software need to manage the result system for the Sydney 2000 Olympic games. 37 information systems + integration and communications elements are need.

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Motivation & Problem (2)

• Complex development project with high time constrain and requirements complexity.

• We need a project structure with an activity network to guide the project

• And of course, we need other elements; people, technology, tools, etc…

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Methodology Steps - Objective

1. Drive the construction of a complete activity network with schedule and effort estimations

2. Understand the estimation base on uncertainties (probability distributions)

3. Analyze the network to understand the sensible points or possible critical paths

6

Methodology Steps - Network

• The problem is decompose in small sub-products development project, as we do when we design a system

• For each sub-product, development and support process are used

• For each sub-product, CocomoII is used• For each sub-product, QA and Risk are model• The network is build using integration-products

that are sub-products to be compose to create the end product

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Decomposition & Composition

IntInt

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Sub-Product 1

E:5.87 S:6.10

Sub-Product 1

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Sub-Product 2

E:6.26 S:6.34

Sub-Product 2

E:6.26 S:6.34

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Integration

E:4.21 S:10.41

Integration

E:4.21 S:10.41

Risk 0Risk 0

Development phasesRS: RequirementsA: AnalysisD: DesignC: ConstructionT: Testing

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Activity Network

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Simulation

• Once all of the elements of the A3 model are constructed, simulations are carried out using the Monte Carlo technique which permits the evaluation on n repetitions of the probability distributions derived from the estimation process, and the relations between products in terms of effort and costs.

TOTAL EffortDistribution/Months

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Analysis

• Correlations and Sensibilities are compute in each activity base on precedent activities.

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E:5.87 S:6.10E:5.87 S:6.10

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E:6.26 S:6.34E:6.26 S:6.34

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0.61 0.70

0.15

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MSL Olympic Development (1)

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ExtPOComm-TJ

E:19.60 S:8.80

Comm-TJ

E:19.60 S:8.80

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E:3.65 S:4.09

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VC-TJ

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ExtPODV:EC-EM-VC

E:44.92 S:16.49

DV:EC-EM-VC

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DV:EC-EM-VC-DF

E:2.76 S:17.31

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SW:EC-EM-VC-DF

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ExtPOWL:EC-EM-VC

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WL:EC-EM-VC

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WL:EC-EM-VC-DF

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CM: EC-EM-VC-DF

E:6.50 S:16.48

CM: EC-EM-VC-DF

E:6.50 S:16.48

RendimientoRendimiento

Re-Diseño InterfacesRe-Diseño Interfaces

Nuevos RequerimientosNuevos Requerimientos

Requerimientos TárdiosRequerimientos Tárdios

RecursosRecursos

Effort Distribution Development Phases

0

5

10

15

20

25

30

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 Months

Sta

ff

T C D A R

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MSL Olympic Development (2)ID Ta sk N ame Du ration

1 Comm-TJ 18 8 da ys

2 Re quirements 41 day s

3 An alys is 23 .12 day s

4 De s ig n 32 .88 day s

5 Co din g 52 day s

6 Te s tin g 39 day s

7 Lib-TJ 87 day s


9 An alys is 14 day s

10 De s ig n 14 day s

11 Co din g 26 day s


13 VC -TJ 13 7.88 da ys

14 Re quirements 11 .88 day s





19 DF-TJ 75 day s


21 An alys is 9.9 4 d ays


23 Co din g 16 .63 day s

24 Te s tin g 13 .37 day s

25 DV:EC -EM-VC 28 8.85 da ys






31 DV:EC -EM-VC -DF 15 4.25 da ys






37 SW :EC -EM-VC 27 3 da ys






43 SW :EC -EM-VC -D F 11 5 da ys






49 W L:EC -EM-VC 26 0 da ys


51 An alys is 30 .6 d ays




55 W L:EC -EM-VC -D F 94 .46 day s




59 Co din g 24 .5 d ays


61 CM: EC-EM-VC 22 7 da ys






67 CM: EC-EM-VC-D F 11 4.41 da ys






W S T M F T S W S T M F T S W S T M F T S W S T M Ft 1 9, '9 7 De c 1 4, '9 7 Fe b 8, '98 Ap r 5, '98 Ma y 3 1, '9 8 Ju l 26 , '98 Se p 20 , '98 No v 1 5, '9 8 Ja n 10 , '99 Ma r 7, '99 Ma y 2 , '99 Ju n 27 , '99

Effort Distribution

0 2 4 6 8

10 12 14 16 18 20 22 24 26 28 30 32 34 36 38 40 42 44

0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 Months

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ff

100% Mean 0%

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MSL Advantage

• The project has a detail activity network

• Effort distribution is understand by development phases

• Possible delays are estimate and mitigation plan was build

• Sensible points are identify and manage

14

Conclusion

• Helps Software Project Design

• Helps Build the Project Structure

• Underway Project Control• Project Simulation

• Project Visualization Mechanism

1 A Software Project Management Method: A 3 Sergio Coronado, [email protected] José Alberto Jaén,...

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Transcript of 1 A Software Project Management Method: A 3 Sergio Coronado, [email protected] José Alberto Jaén,...