Cost estimation using cocomo model

A Presentation On topic
‘Cost Estimation using COCOMO Model’
Submitted By:-
Nitesh Bichwani
02224302013
B.C.A 4th semester
Evening shift
Submitted To:-
Mr. Vijay Yadav
(Assistant professor)
Submitted in the partial fulfilment for the award of degree of
Bachelor’s of Computer Application
SIRIFORT COLLEGE OF COMPUTER TECHNOLOGY AND MANAGEMENT
Plot no-8, Institutional area, Sector 25 Rohini, Delhi-110085

Definition:-
B.W. Boehm Introduced COCOMO model in his book
Software Engineering Economics in 1981 COCOMO is a
hierarchy of cost estimation models it includes basic ,
intermediate and detailed sub model.
Topic :- Constructive Cost Model (COCOMO)

Types
Of
COCOMO
Detailed
COCOMO Model
Intermediate
Model
Basic Model

The basic model aims at estimating, in a quick and rough
fashion, most of the small to medium sized software projects.
Three modes of software development are considered in this
model:
Organic: A small team of experienced developers develops
software in a very familiar environment.
Embedded: The project has tight constraints, which might be
related to the target processor.
Semidetached: It is an intermediate mode between the organic
mode and embedded mode.
Depending on the problem at hand, the team might include a
mixture of experienced and less experienced people with only a
recent history of working together.

Comparison of three COCOMO modes
Mode Project
Size
Nature of
Project
Innovation Deadline
of the
Project
Development
Environment
Organic Typically
2 – 50
KLOC
Small Size
Projects,
experienced
developers.
Little Not tight Familiar And In
house
Semi-
Detached
Typically
50 – 300
KLOC
Medium size
project, average
previous
experience on
similar projects.
Medium Medium Medium
Embedded Typically
over 300
KLOC
Large projects,
complex
interfaces, very
little previous
experience.
Significant Tight Complex
Hardware /
Customer
interfaces
required

Project ab bb cb db
Organic mode 2.4 1.05 2.5 0.38
Semidetached mode 3.0 1.12 2.5 0.35
Embedded mode 3.6 1.20 2.5 0.32
Basic COCOMO Co- efficients
The Basic COCOMO equations take the
form:
E = ab (KLOC)bb
D = cb (E)db
SS = E/D persons
P = KLOC/E
E = effort
D = Deployment time
SS = staff size
P = productivity
ab ,bb ,cb ,db = Coefficients

Example :
Suppose that a project was estimated to be 400 KLOC.
Calculate the effort and development time for each of the three
modes i.e. organic , semidetached and embedded.
Solution The basic COCOMO equations take the form:
E = ab (KLOC)bb
D = cb (E)db
Estimated size of the project = 400 KLOC
1. Organic Mode
E = 2.4 (400)1.05 = 1295.31 PM
D = 2.5 (1295.31)0.38 = 38.07 M
2. Semi detached Mode
E = 3.0 (400)1.12 = 2462.79 PM
D = 2.5 (2462.79)0.35 = 38.45 M
3. Embedded Mode
E = 3.6 (400)1.20 = 4772.81 PM
D = 2.5 (4772.81)0.32 = 37.59 M

In the Intermediate model Boehm introduced an additional set of
15 predictors called cost drivers in the intermediate model to
take account of the software development environment. Cost
drivers are used to adjust the nominal cost of a project to the
actual project environment, hence increasing the accuracy of the
estimate.
The cost drivers are grouped into 4 categories:-
1. Product attributes
a. Required software reliability (RELY)
b. Database size (DATA)
c. Product complexity (CPLX)
2. Computer attributes
a. Execution time constraint (TIME)
b. Main store constraint (STOR)
c. Virtual machine volatility (VIRT)
d. Computer turnaround time (TURN)

3. Personnel attributes
a. Analyst capability (ACAP)
b. Application experience (AEXP)
c. Programmer capability (PCAP)
d. Virtual machine experience (VEXP)
e. Programming Language experience (LEXP)
4. Project attributes
a. Morden programming practices (MODP)
b. Use of software tool (TOOL)
c. Required development schedule (SCED)
Each cost driver is rated for a given project environment. The
rating uses a scale very low, low, nominal, high, very high, extra
high which describes to what extent the cost driver applies to
the project being estimated.

Cost Drivers
Ratings
Very
Low
Low Nominal High Very
High
Extra
High
Product attributes
RELY 0.75 0.88 1.00 1.15 1.40 -
DATA - 0.94 1.00 1.08 1.16 -
CPLX 0.70 0.85 1.00 1.15 1.30 1.65
Computer attributes
TIME - - 1.00 1.11 1.30 1.66
STOR - - 1.00 1.06 1.21 1.56
VIRT - 0.87 1.00 1.15 1.30 -
TURN - 0.87 1.00 1.07 1.15 -
Multiplier Values
For
Effort Calculations

Cost Drivers
Ratings
Very
Low
Low Nominal High Very
High
Extra
High
Personnel attributes
ACAP 1.46 1.19 1.00 0.86 0.71 -
AEXP 1.29 1.13 1.00 0.91 0.82 -
PCAP 1.42 1.17 1.00 0.86 0.70 -
VEXP 1.21 1.10 1.00 0.90 - -
LEXP 1.14 1.07 1.00 0.95 - -
Project attributes
MODP 1.24 1.10 1.00 0.91 0.82 -
TOOL 1.24 1.10 1.00 0.91 0.83 -
SCED 1.23 1.08 1.00 1.04 1.10 -
Multiplier Values
For
Effort Calculations

Project ai bi ci di
Organic mode 3.2 1.05 2.5 0.38
Semidetached mode 3.0 1.12 2.5 0.35
Embedded mode 2.8 1.20 2.5 0.32
Co- efficients for Intermediate COCOMO
The Intermediate COCOMO
equations take the form:
E = ai (KLOC)bi * EAF
D = ci (E)di
SS = E/D persons
P = KLOC/E
EAF = Effort Adjustment
factor
E = effort
D = Deployment time
SS = staff size
P = productivity
ai , bi , ci , di = Coefficients

Example :
A new project with estimated 400 KLOC embedded system has to be developed. Project
manager has a choice of hiring from two pools of developers : with very high application
experience and very little experience in the programming language being used or
developers of very low application experience but a lot of experience with the
programming language. What is the impact of hiring all developers from one or the other
pool.
Solution
This is the case of embedded mode
Hence E = ai (KLOC)bi * EAF D = ci (E)di
Case 1: Developers are with very high application experience and very little experience
in the programming language being used.
EAF = 0.82 *1.14 = 0.9348
E = 2.8(400)1.20 * 0.9348 = 3470 PM
D = 2.5 (3470)0.32 = 33.9 M
Case 2: developers of very low application experience but a lot of experience with the
programming language.
EAF = 1.29*0.95 = 1.22
E = 2.8 (400)1.20 *1.22 = 4528PM
D = 2.5 (4528)0.32 = 36.9 M
Case 2 requires more effort and time. Hence, low quality application experience but a lot
of programming language experience could not match with the very high application
experience and very little programming language experience.

A large amount of work is done by Boehm to capture all
significant aspects of a software development. It offers a means
for processing all the project characteristics to construct a
software estimate.
Capabilities
Of
Detailed Model
Three-Level
Product Hierarchy
Phase-Sensitive
Effort Multipliers

Phase-Sensitive Effort Multipliers:
Some phases (design, programming, integration/test) are more
affected than others by factors defined by the cost drivers. This
helps in determining the man power allocation for each phase of
the project.
Three-Level Product Hierarchy:-
Three product levels are defined. These are module, subsystem
and system levels. The rating of the cost drivers are done at
appropriate level; that is, the level at which it is most susceptible
to variation.

A software development is carried out in four successive
phases:-
1. Plan/ requirements: This is the first phase of the
development cycle. The requirement is analyzed, the
product plan is set up and a full product specification is
generated. This phase consumes from 6% to 8% of the
effort and 10% to 40% of the development time.
2. Product Design: The second phase of the COCOMO
development cycle is concerned with the determination of
the product architecture and the specification of the
subsystem. This phase requires from 16% to 18% of the
nominal effort and can last from 19% to 38% of the
development time.

3. Programming: The third phase of the COCOMO
development cycle is divided into two sub phases: detailed
design and code/unit test. This phase requires from 48% to
68% of the effort and lasts from 24% to 64% of the
development time.
4. Integration/test: This phase of the COCOMO development
cycle occurs before delivery. This mainly consist of putting
the tested parts together and then testing the final product
this phase requires from 16% to 34% of the nominal effort
and can last from 18% to 34% of the development time.

Mode and code size
Plan and
requirem
ent
System
design
Detail
design
Module
code and
test
Integratio
n and test
Lifecycle Phase Value of µb
Organic Small S ≈ 2 0.06 0.16 0.26 0.42 0.16
Organic Medium S ≈ 32 0.06 0.16 0.24 0.38 0.22
Semidetached Medium S ≈ 32 0.07 0.17 0.25 0.33 0.25
Semidetached Large S ≈ 128 0.07 0.17 0.24 0.31 0.28
Embedded Large S ≈ 128 0.08 0.18 0.25 0.26 0.31
Embedded Extra Large S ≈ 320 0.08 0.18 0.24 0.24 0.34
Lifecycle Phase Value of b
Organic Small S ≈ 2 0.10 0.19 0.24 0.39 0.18
Organic Medium S ≈ 32 0.12 0.19 0.21 0.34 0.26
Semidetached Medium S ≈ 32 0.20 0.26 0.21 0.27 0.26
Semidetached Large S ≈ 128 0.22 0.27 0.19 0.25 0.29
Embedded Large S ≈ 128 0.36 0.36 0.18 0.18 0.28
Embedded Extra Large S ≈ 320 0.40 0.38 0.16 0.16 0.30
Effort and schedule fractions occurring in each phase of lifecycle

The Detailed COCOMO
equations take the form:
D = ci (E)di
Ep = µpE
Dp = pD
SS = E/D persons
P = KLOC/E
EAF = Effort Adjustment factor
E = effort
D = Deployment time
SS = staff size
P = productivity
µp = Used for effort
p = Used for schedule

Example :
Consider a project to develop a full screen editor. The major components
identified are (1) Screen edit, (2) Command Language Interpreter, (3) File
input and output, (4) Cursor movement and (5) Screen movement. The sizes
for these are estimated to be 4K, 2K, 1K, 2K and 3K delivered source code
lines. Use COCOMO model to determine:
(a) Overall cost and schedule estimates (assume values for different cost
drivers, with at least three of them being different from 1.0).
(b) Cost and schedule estimates for different phases.
Solution
Size of 5 modules are:-
Screen edit = 4KLOC
Command Language Interpreter = 2KLOC
File input and output = 1KLOC
Cursor movement and = 2KLOC
Screen movement = 3KLOC
total = 12KLOC

Let us assume that significant cost drivers are
(1) Required software reliability is high i.e. 1.15
(2) Product complexity is high i.e. 1.15
(3) Analyst capability is high i.e. 0.86
(4) All other drivers are nominal i.e. 1.00
Hence
EAF = 1.15 * 1.15 * 0.86 = 1.1373
(a) The initial effort estimate for the project
=3.2(12)1.05 * 1.1373 = 49.449 PM
D = ci (E)di
= 2.5(49.44)0.38 = 11.007 M

(b) Phase wise cost and schedule estimates
Ep = µpE
Dp = pD
Since size is only 12 KLOC, it is an organic small model.
Phase wise effort distribution is given below:
System Design = 0.16 * 49.449 = 7.911
Detailed Design = 0.26 * 49.449 = 12.856
Module code and test = 0.42 * 49.449 = 20.768
Integration and test = 0.16 * 49.449 = 7.911
Phase wise development time duration is:
System Design = 0.19 * 11.007 = 2.091
Detailed Design = 0.24 * 11.007 = 2.641
Module code and test = 0.39 * 11.007 = 4.292
Integration and test = 0.18 * 11.007 = 1.981

Thank You
Presented by:-
Nitesh Bichwani

Cost estimation using cocomo model

More Related Content

What's hot (20)

Similar to Cost estimation using cocomo model (20)

Recently uploaded (20)

Cost estimation using cocomo model