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Lecture 5 COCOMO II Demo & ARS Example - Suraj @ LUMS

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COCOMO II Demo and ARS COCOMO II Demo and ARS Example Example CS 566 CS 566 Software Management and Economics Software Management and Economics Lecture 5 (Madachy 2005; Chapter 3, Boehm et al. 2000) Lecture 5 (Madachy 2005; Chapter 3, Boehm et al. 2000) Ali Afzal Malik Ali Afzal Malik
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Page 1: Lecture 5 COCOMO II Demo & ARS Example - Suraj @ LUMS

COCOMO II Demo and ARS COCOMO II Demo and ARS

ExampleExample

CS 566 CS 566 –– Software Management and EconomicsSoftware Management and Economics

Lecture 5 (Madachy 2005; Chapter 3, Boehm et al. 2000)Lecture 5 (Madachy 2005; Chapter 3, Boehm et al. 2000)

Ali Afzal MalikAli Afzal Malik

Page 2: Lecture 5 COCOMO II Demo & ARS Example - Suraj @ LUMS

6/23/20086/23/2008 LUMSLUMS 22

OutlineOutline

�� USC COCOMO II tool demoUSC COCOMO II tool demo

�� Overview of Airborne Radar System (ARS) Overview of Airborne Radar System (ARS)

�� Usage of different COCOMO subUsage of different COCOMO sub--models within an models within an evolutionary spiral development processevolutionary spiral development process

�� Estimation of reuse, modification, COTS, and Estimation of reuse, modification, COTS, and automated translation automated translation

�� Refinement of (aggregate) estimatesRefinement of (aggregate) estimates

�� Iterative developmentIterative development

�� SummarySummary

�� ReferencesReferences

Page 3: Lecture 5 COCOMO II Demo & ARS Example - Suraj @ LUMS

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USC COCOMO II DemoUSC COCOMO II Demo

Page 4: Lecture 5 COCOMO II Demo & ARS Example - Suraj @ LUMS

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ARS EstimationARS Estimation

�� Use Applications Composition, Early Design Use Applications Composition, Early Design

and Postand Post--Architecture submodelsArchitecture submodels

�� Two PostTwo Post--Architecture estimates are Architecture estimates are

demonstrated: topdemonstrated: top--level and detailedlevel and detailed–– scale drivers apply to overall system in both estimatesscale drivers apply to overall system in both estimates

–– cost drivers are rated for the aggregate system in the cost drivers are rated for the aggregate system in the

toptop--level estimate (17 ratings)level estimate (17 ratings)

–– cost drivers are refined for each individual software cost drivers are refined for each individual software

component in the detailed estimate (17*6 component in the detailed estimate (17*6

components=102 ratings)components=102 ratings)

Page 5: Lecture 5 COCOMO II Demo & ARS Example - Suraj @ LUMS

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ARS System OverviewARS System Overview

centralcomputer

displayworkstationand console

radar unitcomputer radar

radar controlcommands

received radardata

user input

graphicscommands

other sensor dataother user commands

Page 6: Lecture 5 COCOMO II Demo & ARS Example - Suraj @ LUMS

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Software ComponentsSoftware Components

�� Radar Unit ControlRadar Unit Control–– controls radar hardwarecontrols radar hardware

�� Radar Item ProcessingRadar Item Processing–– extracts information returned from radar to identify objectsextracts information returned from radar to identify objects

�� Radar DatabaseRadar Database–– maintains radar object tracking datamaintains radar object tracking data

�� Display ManagerDisplay Manager–– high level displays managementhigh level displays management

�� Display ConsoleDisplay Console–– user input device interface and primitive graphic processinguser input device interface and primitive graphic processing

�� Built In TestBuilt In Test–– hardware monitoring and fault localizationhardware monitoring and fault localization

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COCOMO Coverage in COCOMO Coverage in

Evolutionary Lifecycle Evolutionary Lifecycle

ProcessProcess

DevelopmentPhase

ARS ProductMilestone

COCOMOSub-model

Inception Prototype ApplicationsComposition

Elaboration Breadboard Early Design

Construction Initial OperatingCapability (IOC)

Post-Architecture*

* both top-level and detailed estimates shown

Page 8: Lecture 5 COCOMO II Demo & ARS Example - Suraj @ LUMS

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Prototype Size and EffortPrototype Size and Effort

Component Size (ApplicationPoints)

Estimated Reuse New ApplicationPoints (NAP)

Radar Unit Control 11 20 % 8.8Radar Item Processing 65 30 % 45.5Radar Database 23 0 % 23Display Manager 42 0 % 42Display Console 17 0 % 17Built In Test 0 0 % 0TOTAL 136.3

Productivity is “high” at 25 NAP/PM Effort = NAP/ Productivity = 136.3/25 = 5.45 PM (or 23.6 person-weeks)Personnel = 23.6 person-weeks/6 weeks ~ 4 full-time personnel

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�� Precedentedness (PREC)Precedentedness (PREC)

�� Development Flexibility (FLEX)Development Flexibility (FLEX)

�� Architecture/Risk Resolution (RESL)Architecture/Risk Resolution (RESL)

�� Team Cohesion (TEAM)Team Cohesion (TEAM)

�� Process Maturity (PMAT)Process Maturity (PMAT)

�� NominalNominal

�� LowLow

�� HighHigh

�� NominalNominal

�� NominalNominal

Factor Rating

Scale Factors for BreadboardScale Factors for Breadboard

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Early Design Cost Drivers Early Design Cost Drivers

for Breadboardfor Breadboard

�� HighHigh

�� Very HighVery High

�� HighHigh

�� HighHigh

�� NominalNominal

�� NominalNominal

�� NominalNominal

Factor Rating

�� Product Reliability and Complexity (RCPX)Product Reliability and Complexity (RCPX)

�� Required Reuse (RUSE)Required Reuse (RUSE)

�� Platform Difficulty (PDIF)Platform Difficulty (PDIF)

�� Personnel Capability (PERS)Personnel Capability (PERS)

�� Personnel Experience (PREX)Personnel Experience (PREX)

�� Facilities (FCIL)Facilities (FCIL)

�� Schedule (SCED)Schedule (SCED)

Page 11: Lecture 5 COCOMO II Demo & ARS Example - Suraj @ LUMS

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Breadboard System Size Breadboard System Size

CalculationsCalculations

Component Size (SLOC) Language Type REVL (%) DM CM IM AA SU UNFM AAM EquivalentSize (SLOC)

Radar UnitControl

4500 Ada 95 New 10 - - - - - - - 4950

1238 Ada 95 Reused 10 0 0 30 1 - - 10 136Radar Item

Processing19110 Ada 95 New 20 - - - - - - - 22932

25450 Ada 95 Translated

0

Radar Database 6272 Ada 95 New 12 - - - - - - 0 70253222 Ada 95 Modified 12 15 20 50 2 15 .1 29.81 1076

Display Manager 12480 Ada 95, C New 9 - - - - - - - 1360318960 Ada 95, C Reused 9 0 0 25 2 - - 9.5 196324566 C COTS 9 0 0 20 0 - 6 1607

Display Console 5400 C,microcode

New 7 - - - - - - - 5778

2876 C,microcode

COTS 7 0 0 20 0 - - 6 185

Built In Test 4200 Ada 95,assembler

New 15 - - - - - - - 4830

TOTAL 64084

Page 12: Lecture 5 COCOMO II Demo & ARS Example - Suraj @ LUMS

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Early Design Estimate for Early Design Estimate for

BreadboardBreadboard

Page 13: Lecture 5 COCOMO II Demo & ARS Example - Suraj @ LUMS

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ARS Full Development for ARS Full Development for

IOCIOC

�� Use PostUse Post--Architecture estimation modelArchitecture estimation model–– same general techniques as the Early Design model for the same general techniques as the Early Design model for the

Breadboard system, except for elaborated cost driversBreadboard system, except for elaborated cost drivers

�� Two estimates are demonstrated: topTwo estimates are demonstrated: top--level level

and detailedand detailed–– scale drivers apply to overall system in both estimatesscale drivers apply to overall system in both estimates

–– cost drivers are rated for the aggregate system in the topcost drivers are rated for the aggregate system in the top--

level estimate (17 ratings)level estimate (17 ratings)

–– cost drivers are refined for each individual software cost drivers are refined for each individual software

component in the detailed estimate (17*6 component in the detailed estimate (17*6

components=102 ratings)components=102 ratings)

Page 14: Lecture 5 COCOMO II Demo & ARS Example - Suraj @ LUMS

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ARS TopARS Top--Level Size Level Size

CalculationsCalculationsComponent Size (SLOCS)LanguageType REVL (%)DM (%) CM (%) IM (%) AA SU UNFM AAF (%) AAM (%)eq sizeRadar Unit Control 3215 Ada new 2 0 0 0 0 0 0 0 0 3279

500 Ada modified 2 30 30 40 6 33 0.4 33 47.712 2435738 Ada reused 2 0 0 40 0 0 0 12 12 702

Radar Item Processing 13715 Ada new 15 0 0 0 0 0 0 0 0 1577211500 Ada modified 15 5 14 40 2 30 0.4 18.2 24.568 324958320 Ada translated* 0 0 0

Radar Database 12200 Ada new 6 0 0 0 0 0 0 0 0 129329494 Ada reused 6 40 0 0 0 12 12 1208

Display Manager 15400 Ada, C new 4 0 0 0 0 0 0 0 0 1601631440 Ada, C reused 4 0 0 40 0 0 0 12 12 392424566 C COTS 4 0 0 40 0 0 0 12 12 3066

Display Console 13200 C new 4 0 0 0 0 0 0 0 0 137281800 C modified 4 20 20 40 2 30 0.4 26 34.24 6412876C, microcodeCOTS 4 0 0 40 0 0 0 12 12 359

Built In Test 16000Ada, assemblernew 10 0 0 0 0 0 0 0 0 176004200Ada, assemblerreused 10 0 0 40 0 0 0 12 12 554

0 0 00 0 00 0 00 0 00 0 0

totals 224164 93274

Page 15: Lecture 5 COCOMO II Demo & ARS Example - Suraj @ LUMS

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PostPost--Architecture Estimate Architecture Estimate

for IOC (Topfor IOC (Top--level)level)

Page 16: Lecture 5 COCOMO II Demo & ARS Example - Suraj @ LUMS

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PostPost--Architecture Estimate Architecture Estimate

for IOC (Detailed)for IOC (Detailed)

Page 17: Lecture 5 COCOMO II Demo & ARS Example - Suraj @ LUMS

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Sample Incremental Sample Incremental

EstimateEstimate

Page 18: Lecture 5 COCOMO II Demo & ARS Example - Suraj @ LUMS

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Incremental COCOMOIncremental COCOMO

�� Costar (commercial tool) provides Costar (commercial tool) provides

comprehensive implementationcomprehensive implementation

Page 19: Lecture 5 COCOMO II Demo & ARS Example - Suraj @ LUMS

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Increment PhasingIncrement Phasing

Page 20: Lecture 5 COCOMO II Demo & ARS Example - Suraj @ LUMS

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Increment SummaryIncrement Summary

Page 21: Lecture 5 COCOMO II Demo & ARS Example - Suraj @ LUMS

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SummarySummary

�� Learned the basics of USC COCOMO II Learned the basics of USC COCOMO II

�� ARS exampleARS example

–– Use of COCOMO subUse of COCOMO sub--models for differing models for differing

lifecycle phases and levels of detaillifecycle phases and levels of detail

�� Incremental developmentIncremental development

Page 22: Lecture 5 COCOMO II Demo & ARS Example - Suraj @ LUMS

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ReferencesReferences

� Raymond J. Madachy, EC-6 –COCOMO II: Airborne Radar System Example, CS 510 Lecture, 2005.

� Barry W. Boehm et al., Software Cost Estimation with COCOMO II, Prentice Hall PTR, 2000.


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