SlideShare a Scribd company logo
1 of 8
1
COCOMO I
• The constructive cost model was developed by Barry W. Boehm in the late
1970s and published in Boehm's 1981 as a model for estimating effort, cost
and schedule for software projects.
• Basic model - It estimates the software in a rough and quick manner.
• Mostly used in small and medium sized projects.
• 3 modes of development:
a) Organic,
b) Semi Detached,
c) Embedded
2
COCOMO - I
• Equation & Example
3
COCOMO I
Numerical
• Suppose a project was estimated to be 400 KLOC. Calculate effort and time for
organic mode.
• Organic:
Effort = a (KLOC)b
Effort = 2.4 (400)1.05
Effort = 1295PM
Development Time = c (Effort)d
Development Time = 2.5 (1295)0.38
Development Time = 38 Months, Find Effort Staff Size, Productivity??
• Semi-detached:
Effort = a (KLOC)b
Effort = 3.0 (400)1.12
Person Months = 2462PM, Find Development Time, Effort Staff Size,
Productivity??
• Embedded:
Effort = a (KLOC)b
Effort = 3.6 (400)1.20
Person Months = 4772PM , Find Development Time , Effort Staff Size,
Productivity??
4
COCOMO II
• Barry Boehm introduced a hierarchy of software estimation models bearing
the name COCOMO, for Constructive Cost Model.
• The original COCOMO model became one of the most widely used and
discussed software cost estimation models in the industry.
• It has evolved into a more comprehensive estimation model, called COCOMO
II.
• Like its predecessor, COCOMO II is actually a hierarchy of estimation models
that address the following areas:
– Application composition model: Used during the early stages of software engineering, when
prototyping of user interfaces, consideration of software and system interaction, assessment
of performance, and evaluation of technology maturity are paramount.
– Early design stage model: Used once requirements have been stabilized and basic software
architecture has been established.
– Post-architecture-stage model: Used during the construction of the software.
• Like all estimation models for software, the COCOMO II models require sizing
information.
• Three different sizing options are available as part of the model hierarchy:
object points, function points and lines of source code.
5
COCOMO II
• The COCOMO II application composition model uses object points and is
illustrated below.
• It should be noted that other, more sophisticated estimation models (using FP
and KLOC) are also available as part of COCOMO II.
Complexity weighting for object types
• Like function points, the object point is an indirect software measure that is
computed using counts of the number of (a) screens (at the user interface), (b)
reports, and (c) components likely to be required to build the application.
• Each object instance (e.g., a screen or report) is classified into one of three
complexity levels (i.e., simple, medium, or difficult) using criteria suggested by
Boehm.
• In essence, complexity is a function of the number and source of the client and
server data tables that are required to generate the screen or report and the
number of views or sections presented as part of the screen or report.
6
COCOMO II
• Once complexity is determined, the number of screens, reports and
components are weighted according to the table illustrated in above figure.
• The object point count is then determined by multiplying the original number
of object instances by the weighting factor in the figure and summing to
obtain a total object point count.
• When component-based development or general software reuse is to be
applied, the percent of reuse (%reuse) is estimated and the object point count
is adjusted:
NOP = (object points) * [(100 - % reuse) / 100], where NOP is defined as new
object points
• To derive an estimate of effort based on the computed NOP value, a
“productivity rate” must be derived.
7
COCOMO II
• The figure above presents the productivity rate,
PROD = NOP / person-month, for different levels of developer experience and
development environment maturity.
• Once the productivity rate has been determined, an estimate of project effort
is computing using,
Estimated effort = NOP / PROD
• In more advanced COCOMO II models (these models use FP and KLOC counts
of the size variable), a variety of scale factors, cost drivers, and adjustment
procedures are required.
8
COCOMO II - Problems
• Use the COCOMO II model to estimate the effort required to build software
for a simple ATM that produces 12 screens, 10 reports, and will require
approximately 80 software components, Percentage of reuse is 20%, Value of
Prod=9. Use the application composition model with object points.
To Compute:
• Object points = screen + report + components
• NOP = Object Points * [(100 - % reuse)/100]
• Estimated Effort = NOP/PROD

More Related Content

Similar to COCOMO Model.pptx

COCOMO methods for software size estimation
COCOMO methods for software size estimationCOCOMO methods for software size estimation
COCOMO methods for software size estimationPramod Parajuli
 
2.6 Empirical estimation models & The make-buy decision.ppt
2.6 Empirical estimation models & The make-buy decision.ppt2.6 Empirical estimation models & The make-buy decision.ppt
2.6 Empirical estimation models & The make-buy decision.pptTHARUNS44
 
Software estimation models ii lec .05
Software estimation models ii lec .05Software estimation models ii lec .05
Software estimation models ii lec .05Noor Ul Hudda Memon
 
constructive cost model
constructive cost modelconstructive cost model
constructive cost modelJadavsejal
 
Software Estimation Part II
Software Estimation Part IISoftware Estimation Part II
Software Estimation Part IIsslovepk
 
Software_effort_estimation for Software engineering.pdf
Software_effort_estimation for Software engineering.pdfSoftware_effort_estimation for Software engineering.pdf
Software_effort_estimation for Software engineering.pdfsnehan789
 
Cocomo model
Cocomo modelCocomo model
Cocomo modelDevan Thakur
 
Aa03101540158
Aa03101540158Aa03101540158
Aa03101540158ijceronline
 
Exp 02-COCOMO (1).pptx
Exp 02-COCOMO (1).pptxExp 02-COCOMO (1).pptx
Exp 02-COCOMO (1).pptxYagnaGummadi
 
Cocomo model
Cocomo modelCocomo model
Cocomo modelMZ5512
 
LatestCOCOMO model presentation for college students .pptx
LatestCOCOMO model presentation for college students .pptxLatestCOCOMO model presentation for college students .pptx
LatestCOCOMO model presentation for college students .pptxaditiibaghla16
 
Software engineering 10 software cost estimation cocomo
Software engineering 10 software cost estimation cocomoSoftware engineering 10 software cost estimation cocomo
Software engineering 10 software cost estimation cocomoVaibhav Khanna
 
In Depth Constructive Cost Modeling related slides
In Depth Constructive Cost Modeling related slidesIn Depth Constructive Cost Modeling related slides
In Depth Constructive Cost Modeling related slidesChobodiDamsaraniPadm
 
COCOMO FP COST ESTIMATION TECHNIQUES:NUMERIC
COCOMO FP COST ESTIMATION TECHNIQUES:NUMERICCOCOMO FP COST ESTIMATION TECHNIQUES:NUMERIC
COCOMO FP COST ESTIMATION TECHNIQUES:NUMERICSneha Padhiar
 
COCOMO FP COST ESTIMATION TECHNIQUES:NUMERIC
COCOMO FP COST ESTIMATION TECHNIQUES:NUMERICCOCOMO FP COST ESTIMATION TECHNIQUES:NUMERIC
COCOMO FP COST ESTIMATION TECHNIQUES:NUMERICSneha Padhiar
 

Similar to COCOMO Model.pptx (20)

Cocomo model
Cocomo modelCocomo model
Cocomo model
 
COCOMO methods for software size estimation
COCOMO methods for software size estimationCOCOMO methods for software size estimation
COCOMO methods for software size estimation
 
Cocomo
CocomoCocomo
Cocomo
 
2.6 Empirical estimation models & The make-buy decision.ppt
2.6 Empirical estimation models & The make-buy decision.ppt2.6 Empirical estimation models & The make-buy decision.ppt
2.6 Empirical estimation models & The make-buy decision.ppt
 
Software estimation models ii lec .05
Software estimation models ii lec .05Software estimation models ii lec .05
Software estimation models ii lec .05
 
constructive cost model
constructive cost modelconstructive cost model
constructive cost model
 
COCOMO Model By Dr. B. J. Mohite
COCOMO Model By Dr. B. J. MohiteCOCOMO Model By Dr. B. J. Mohite
COCOMO Model By Dr. B. J. Mohite
 
Software Estimation Part II
Software Estimation Part IISoftware Estimation Part II
Software Estimation Part II
 
Software_effort_estimation for Software engineering.pdf
Software_effort_estimation for Software engineering.pdfSoftware_effort_estimation for Software engineering.pdf
Software_effort_estimation for Software engineering.pdf
 
Cocomo model
Cocomo modelCocomo model
Cocomo model
 
Aa03101540158
Aa03101540158Aa03101540158
Aa03101540158
 
Exp 02-COCOMO (1).pptx
Exp 02-COCOMO (1).pptxExp 02-COCOMO (1).pptx
Exp 02-COCOMO (1).pptx
 
Cocomo model
Cocomo modelCocomo model
Cocomo model
 
LatestCOCOMO model presentation for college students .pptx
LatestCOCOMO model presentation for college students .pptxLatestCOCOMO model presentation for college students .pptx
LatestCOCOMO model presentation for college students .pptx
 
COCOMO.pptx
COCOMO.pptxCOCOMO.pptx
COCOMO.pptx
 
softwarecocomo2.pptx
softwarecocomo2.pptxsoftwarecocomo2.pptx
softwarecocomo2.pptx
 
Software engineering 10 software cost estimation cocomo
Software engineering 10 software cost estimation cocomoSoftware engineering 10 software cost estimation cocomo
Software engineering 10 software cost estimation cocomo
 
In Depth Constructive Cost Modeling related slides
In Depth Constructive Cost Modeling related slidesIn Depth Constructive Cost Modeling related slides
In Depth Constructive Cost Modeling related slides
 
COCOMO FP COST ESTIMATION TECHNIQUES:NUMERIC
COCOMO FP COST ESTIMATION TECHNIQUES:NUMERICCOCOMO FP COST ESTIMATION TECHNIQUES:NUMERIC
COCOMO FP COST ESTIMATION TECHNIQUES:NUMERIC
 
COCOMO FP COST ESTIMATION TECHNIQUES:NUMERIC
COCOMO FP COST ESTIMATION TECHNIQUES:NUMERICCOCOMO FP COST ESTIMATION TECHNIQUES:NUMERIC
COCOMO FP COST ESTIMATION TECHNIQUES:NUMERIC
 

Recently uploaded

EPANDING THE CONTENT OF AN OUTLINE using notes.pptx
EPANDING THE CONTENT OF AN OUTLINE using notes.pptxEPANDING THE CONTENT OF AN OUTLINE using notes.pptx
EPANDING THE CONTENT OF AN OUTLINE using notes.pptxRaymartEstabillo3
 
History Class XII Ch. 3 Kinship, Caste and Class (1).pptx
History Class XII Ch. 3 Kinship, Caste and Class (1).pptxHistory Class XII Ch. 3 Kinship, Caste and Class (1).pptx
History Class XII Ch. 3 Kinship, Caste and Class (1).pptxsocialsciencegdgrohi
 
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Sapana Sha
 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfsanyamsingh5019
 
Alper Gobel In Media Res Media Component
Alper Gobel In Media Res Media ComponentAlper Gobel In Media Res Media Component
Alper Gobel In Media Res Media ComponentInMediaRes1
 
ENGLISH5 QUARTER4 MODULE1 WEEK1-3 How Visual and Multimedia Elements.pptx
ENGLISH5 QUARTER4 MODULE1 WEEK1-3 How Visual and Multimedia Elements.pptxENGLISH5 QUARTER4 MODULE1 WEEK1-3 How Visual and Multimedia Elements.pptx
ENGLISH5 QUARTER4 MODULE1 WEEK1-3 How Visual and Multimedia Elements.pptxAnaBeatriceAblay2
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityGeoBlogs
 
Pharmacognosy Flower 3. Compositae 2023.pdf
Pharmacognosy Flower 3. Compositae 2023.pdfPharmacognosy Flower 3. Compositae 2023.pdf
Pharmacognosy Flower 3. Compositae 2023.pdfMahmoud M. Sallam
 
Science lesson Moon for 4th quarter lesson
Science lesson Moon for 4th quarter lessonScience lesson Moon for 4th quarter lesson
Science lesson Moon for 4th quarter lessonJericReyAuditor
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxiammrhaywood
 
A Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformA Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformChameera Dedduwage
 
Science 7 - LAND and SEA BREEZE and its Characteristics
Science 7 - LAND and SEA BREEZE and its CharacteristicsScience 7 - LAND and SEA BREEZE and its Characteristics
Science 7 - LAND and SEA BREEZE and its CharacteristicsKarinaGenton
 
Hybridoma Technology ( Production , Purification , and Application )
Hybridoma Technology  ( Production , Purification , and Application  ) Hybridoma Technology  ( Production , Purification , and Application  )
Hybridoma Technology ( Production , Purification , and Application ) Sakshi Ghasle
 
_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting Data_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting DataJhengPantaleon
 
Final demo Grade 9 for demo Plan dessert.pptx
Final demo Grade 9 for demo Plan dessert.pptxFinal demo Grade 9 for demo Plan dessert.pptx
Final demo Grade 9 for demo Plan dessert.pptxAvyJaneVismanos
 
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️9953056974 Low Rate Call Girls In Saket, Delhi NCR
 

Recently uploaded (20)

EPANDING THE CONTENT OF AN OUTLINE using notes.pptx
EPANDING THE CONTENT OF AN OUTLINE using notes.pptxEPANDING THE CONTENT OF AN OUTLINE using notes.pptx
EPANDING THE CONTENT OF AN OUTLINE using notes.pptx
 
History Class XII Ch. 3 Kinship, Caste and Class (1).pptx
History Class XII Ch. 3 Kinship, Caste and Class (1).pptxHistory Class XII Ch. 3 Kinship, Caste and Class (1).pptx
History Class XII Ch. 3 Kinship, Caste and Class (1).pptx
 
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
 
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdf
 
Alper Gobel In Media Res Media Component
Alper Gobel In Media Res Media ComponentAlper Gobel In Media Res Media Component
Alper Gobel In Media Res Media Component
 
ENGLISH5 QUARTER4 MODULE1 WEEK1-3 How Visual and Multimedia Elements.pptx
ENGLISH5 QUARTER4 MODULE1 WEEK1-3 How Visual and Multimedia Elements.pptxENGLISH5 QUARTER4 MODULE1 WEEK1-3 How Visual and Multimedia Elements.pptx
ENGLISH5 QUARTER4 MODULE1 WEEK1-3 How Visual and Multimedia Elements.pptx
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activity
 
Pharmacognosy Flower 3. Compositae 2023.pdf
Pharmacognosy Flower 3. Compositae 2023.pdfPharmacognosy Flower 3. Compositae 2023.pdf
Pharmacognosy Flower 3. Compositae 2023.pdf
 
Science lesson Moon for 4th quarter lesson
Science lesson Moon for 4th quarter lessonScience lesson Moon for 4th quarter lesson
Science lesson Moon for 4th quarter lesson
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
 
A Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformA Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy Reform
 
Science 7 - LAND and SEA BREEZE and its Characteristics
Science 7 - LAND and SEA BREEZE and its CharacteristicsScience 7 - LAND and SEA BREEZE and its Characteristics
Science 7 - LAND and SEA BREEZE and its Characteristics
 
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdfTataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
 
Hybridoma Technology ( Production , Purification , and Application )
Hybridoma Technology  ( Production , Purification , and Application  ) Hybridoma Technology  ( Production , Purification , and Application  )
Hybridoma Technology ( Production , Purification , and Application )
 
_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting Data_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting Data
 
9953330565 Low Rate Call Girls In Rohini Delhi NCR
9953330565 Low Rate Call Girls In Rohini  Delhi NCR9953330565 Low Rate Call Girls In Rohini  Delhi NCR
9953330565 Low Rate Call Girls In Rohini Delhi NCR
 
Final demo Grade 9 for demo Plan dessert.pptx
Final demo Grade 9 for demo Plan dessert.pptxFinal demo Grade 9 for demo Plan dessert.pptx
Final demo Grade 9 for demo Plan dessert.pptx
 
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
 
Model Call Girl in Bikash Puri Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Bikash Puri  Delhi reach out to us at 🔝9953056974🔝Model Call Girl in Bikash Puri  Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Bikash Puri Delhi reach out to us at 🔝9953056974🔝
 

COCOMO Model.pptx

  • 1. 1 COCOMO I • The constructive cost model was developed by Barry W. Boehm in the late 1970s and published in Boehm's 1981 as a model for estimating effort, cost and schedule for software projects. • Basic model - It estimates the software in a rough and quick manner. • Mostly used in small and medium sized projects. • 3 modes of development: a) Organic, b) Semi Detached, c) Embedded
  • 2. 2 COCOMO - I • Equation & Example
  • 3. 3 COCOMO I Numerical • Suppose a project was estimated to be 400 KLOC. Calculate effort and time for organic mode. • Organic: Effort = a (KLOC)b Effort = 2.4 (400)1.05 Effort = 1295PM Development Time = c (Effort)d Development Time = 2.5 (1295)0.38 Development Time = 38 Months, Find Effort Staff Size, Productivity?? • Semi-detached: Effort = a (KLOC)b Effort = 3.0 (400)1.12 Person Months = 2462PM, Find Development Time, Effort Staff Size, Productivity?? • Embedded: Effort = a (KLOC)b Effort = 3.6 (400)1.20 Person Months = 4772PM , Find Development Time , Effort Staff Size, Productivity??
  • 4. 4 COCOMO II • Barry Boehm introduced a hierarchy of software estimation models bearing the name COCOMO, for Constructive Cost Model. • The original COCOMO model became one of the most widely used and discussed software cost estimation models in the industry. • It has evolved into a more comprehensive estimation model, called COCOMO II. • Like its predecessor, COCOMO II is actually a hierarchy of estimation models that address the following areas: – Application composition model: Used during the early stages of software engineering, when prototyping of user interfaces, consideration of software and system interaction, assessment of performance, and evaluation of technology maturity are paramount. – Early design stage model: Used once requirements have been stabilized and basic software architecture has been established. – Post-architecture-stage model: Used during the construction of the software. • Like all estimation models for software, the COCOMO II models require sizing information. • Three different sizing options are available as part of the model hierarchy: object points, function points and lines of source code.
  • 5. 5 COCOMO II • The COCOMO II application composition model uses object points and is illustrated below. • It should be noted that other, more sophisticated estimation models (using FP and KLOC) are also available as part of COCOMO II. Complexity weighting for object types • Like function points, the object point is an indirect software measure that is computed using counts of the number of (a) screens (at the user interface), (b) reports, and (c) components likely to be required to build the application. • Each object instance (e.g., a screen or report) is classified into one of three complexity levels (i.e., simple, medium, or difficult) using criteria suggested by Boehm. • In essence, complexity is a function of the number and source of the client and server data tables that are required to generate the screen or report and the number of views or sections presented as part of the screen or report.
  • 6. 6 COCOMO II • Once complexity is determined, the number of screens, reports and components are weighted according to the table illustrated in above figure. • The object point count is then determined by multiplying the original number of object instances by the weighting factor in the figure and summing to obtain a total object point count. • When component-based development or general software reuse is to be applied, the percent of reuse (%reuse) is estimated and the object point count is adjusted: NOP = (object points) * [(100 - % reuse) / 100], where NOP is defined as new object points • To derive an estimate of effort based on the computed NOP value, a “productivity rate” must be derived.
  • 7. 7 COCOMO II • The figure above presents the productivity rate, PROD = NOP / person-month, for different levels of developer experience and development environment maturity. • Once the productivity rate has been determined, an estimate of project effort is computing using, Estimated effort = NOP / PROD • In more advanced COCOMO II models (these models use FP and KLOC counts of the size variable), a variety of scale factors, cost drivers, and adjustment procedures are required.
  • 8. 8 COCOMO II - Problems • Use the COCOMO II model to estimate the effort required to build software for a simple ATM that produces 12 screens, 10 reports, and will require approximately 80 software components, Percentage of reuse is 20%, Value of Prod=9. Use the application composition model with object points. To Compute: • Object points = screen + report + components • NOP = Object Points * [(100 - % reuse)/100] • Estimated Effort = NOP/PROD