loc, cocomo i & cocomo ii kalyan mondal (2012ca49) jyoti shrivastava (2012ca52) kamal kishore...
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LOC, COCOMO I & COCOMO II
Kalyan Mondal (2012ca49)
Jyoti Shrivastava (2012ca52)
Kamal Kishore (2012ca34)
Jyotsna Agnihotri (2012ca66)
Karishma Gupta(2012ca55)
Presented By: Subject: Software EngineeringCoordinator:Mr Anoj Kumar
Contents Software Planning LOC: Lines of Code Function Point Cost Estimation Development Mode COCOMO I
• Basic COCOMO• Intermediate COCOMO• Detailed COCOMO
COCOMO II• Application Composition• Early Design Model• Post Architecture Model
References
SOFTWARE PLANNINGSoftware planning begins before technical work starts, continues as the softwareEvolves from concept to reality, and culminates only when the software is retired.
Created by:- Kamal kishore(2012ca34)Ref :-software engineering by K.K.Agrawal, yogesh singh
Fig:- Activities during software project planning
LINES OF CODE(LOC)
• A Line of code is any line of program text that is not a comment or blank line, regardless of the number of statements or fragments on the line. This specifically includes all lines containing program header, declarations, and executable and non-executable statements.• While line of codes have their uses, their usefulness is limited for other tasks like functionality, complexity, efficiency, etc.
Created by:- Kamal kishore(2012ca34)Ref :-software engineering by K.K.Agrawal, yogesh singh
FUNCTION POINTFunction point measures functionality which is a solution to the size measurement problem.It is decomposed into following functional units
Created by:- Kamal kishore(2012ca34)Ref :-software engineering by K.K.Agrawal, yogesh singh
InputsOutputsEnquiriesInternal Logical Files
External Interface
Files
FUNCTIONAL UNITS WITH WEIGHTING FACTORS
Functional units Low Average
High
External Inputs 3 4 6
External Outputs 4 5 7
External Inquiries 3 4 5
Internal logical files (ILF)
7 10 15
External interface files (EIF)
5 7 10The procedure for the calculation of UFP in mathematical form is given below
5 3UFP = ∑ ∑ UFP : Unadjusted Function Point i=1 j=1Where i indicates the row and j indicates the column of table.Wij : It is the entry of ith row and jth column of the table. Zij: It is the count of the number of functional unit of type i that have been classified as having the complexity corresponding to column j
Created by:- Kamal kishore(2012ca34)Ref :-software engineering by K.K.Agrawal, yogesh singh
An exampleConsider a project with the following functional units: 50 user inputs,40 user outputs, 35 user enquiries,6 user files,4 external interfaces. Assume all complexity adjustment factors and weighting factors are average.Compute the function points for the project. Suppose that program needs 70 LOC per FP. Find out the size of complete project.
Solution:5 3
UFP = ∑ ∑ i=1 j=1
UFP= 50 * 4 + 40 * 5 + 35 * 4 + 6 * 10 + 4 * 7 = 200+200+140+60+28 = 628CAF= (0.65 + ∑
=(0.65 + 0.01 (14 * 3 )) = 1.07FP= UFP * CAF
=628 * 1.07 = 672Size = FP * (LOC per FP) = 672 * 70 = 47040 LOC
Created by:- Kamal kishore(2012ca34)Ref :-software engineering by K.K.Agrawal, Yogesh Singh
Cost EstimationApproximate judgement of the costs for a
project. It should be done throughout the entire life cycle.
Why we need? To determine how much effort and time a
software project requires.Important for making good management
decisions.It facilitates competitive contract bids. It affect the planning and budgeting of a
project.
Ref: Software Engineering By K.K.Aggarwal & Y. Singh Created by: Jyoti Shrivastava
Development Mode of S/W ProjectsMode Project
SizeNature of Project Innovatio
nDeadline
Organic Typically2-50 KLOC
Small size project, Experienced developers.
Little Not Tight
Semi Detached
Typically50-300KLOC
Medium size project and team.
Medium Medium
Embedded
Typically over 300KLOC
Large project, Real-time systems
Significant
Tight
Constructive Cost Model(COCOMO )
The COCOMO model is a single variable software cost estimation model developed by Barry Boehm in 1981.
The model uses a basic regression formula, with parameters that are derived from historical project data and current project characteristics.
Hierarchy of Cocomo Model1. Basic COCOMO model2. Intermediate COCOMO model3. Detailed COCOMO model
Ref: Software Engineering By K.K.Aggarwal & Y. Singh Created by: Jyoti Shrivastava
Basic COCOMO ModelIt take the form:
Effort(E) = ab * (KLOC)bb(in Person-months)
DevelopmentTime(D) = cb * (E) db (in month)
Average staff size(SS) = E/D (in Person)
Productivity(P) = KLOC / E (in KLOC/Person-month)Project ab bb cb db
Organic 2.4 1.05 2.5 0.38
Semidetached
3.0 1.12 2.5 0.35
Embedded 3.6 1.20 2.5 0.32
Ref: Software Engineering By K.K.Aggarwal & Y. Singh Created by: Jyoti Shrivastava
Person-Months
What is Person-Months ?The area under the curve
Ref: Fundamentals of Software Engineering By Rajib Mall Created by: Jyoti Shrivastava
Basic cocomo: ExampleA project size of 200KLOC is to be developed.S/W development team has average experience on similar type of projects.The project schedule is not very tight.Calculate the effort and development time of the project.Ans: 200 KLOC implies semi-detached mode.
Hence, E= 3.0 * (200)1.12 = 1133.12 PMD=2.5 * (1133.12)0.35 = 29.3 MAvg. staff size(SS) = E/D
= 1133.12/29.3=38.67 Persons.Productivity (P) = KLOC/E
= 200/1133.12=0.1765 KLOC/PM.
Ref: Software Engineering By K.K.Aggarwal & Y. Singh Created by: Jyoti Shrivastava
Intermediate COCOMO Extension of Basic COCOMO Why Use ?
Basic model lacks accuracy Computes software development effort as a function of
program size and set of 15 Cost Drivers Cost Driver: A multiplicative factor that determines the
effort required to complete the software project. Why Cost Drivers?
Adjust the nominal cost of a project to the actual project Environment.
For each Characteristics, Estimator decides the scale factor
Ref: Software Engineering By K.K.Aggarwal & Y. Singh Created by: Kalyan Mondal
Very Low Low Nominal High Very
HighExtra High
Cost Drivers
•Required Software Reliability (RELY)
•Database Size (DATA)
•Product Complexity (CPLX)
Product Attributes
•Execution Time Constraint (TIME)
•Main Storage constraint (STOR)
•Virtual Machine volatility (VIRT)
•Computer turnaround time (TURN)
Computer Attributes
•Analyst Capability (ACAP)
•Application Experience (AEXP)
•Programmer Capability (PCAP)
•Virtual Machine Experience (VEXP)
•Programming language Experience (LEXP)
Personnel Attributes
•Modern programming practices (MODP)
•Use of Software tools (TOOL)
•Required development schedule (SCED)
Project Attributes
Ref: Software Engineering By K.K.Aggarwal & Y. Singh Created by: Kalyan Mondal
The Calculation Multiply all 15 Cost Drivers to get Effort
Adjustment Factor(EAF)
E(Effort) = ab(KLOC)bb * EAF(in Person-Month)
D(Development Time) = cb(E)db (in month)
SS (Avg Staff Size) = E/D (in persons)
P (Productivity) = KLOC/E (in KLOC/Person-month)
Project ab bb cb db
Organic 3.2 1.05 2.5 0.38
Semidetached
3.0 1.12 2.5 0.35
Embedded 2.8 1.20 2.5 0.32
Ref: Software Engineering By K.K.Aggarwal & Y. Singh Created by: Kalyan Mondal
Intermediate COCOMO : Example
A new project with estimated 400 KLOC embedded system has to be developed. Project manager hires developers of low quality but a lot of experience in programming language. Calculate the Effort, Development time, Staff size & Productivity.
EAF = 1.29 * 0.95 = 1.22
400 LOC implies Embedded System
Effort = 2.8*(400)1.20 * 1.225 = 3712 * 1.22 = 4528 person-months
Development Time = 2.5 * (4528)0.32 = 2.5 * 14.78 = 36.9 months
Avg. Staff Size = E/D = 4528/36.9 = 122 persons
Productivity = KLOC/Effort = 400/4528 = 0.0884 KLOC/person-month
Cost Drivers
Very Low
Low Nominal
High
Very High
Extra High
AEXP 1.29 1.13 1.00 0.91 0.82 --
LEXP 1.14 1.07 1.00 0.95
-- --
Ref: Software Engineering By K.K.Aggarwal & Y. Singh Created by: Kalyan Mondal
Detailed COCOMO Detailed COCOMO = Intermediate COCOMO +
assessment of Cost Drivers impact on each phase.
Phases1) Plans and requirements
2) System Design
3) Detailed Design
4) Module code and test
5) Integrate and test
• Cost of each subsystem is estimated separately. This reduces the margin of error.
Ref: Software Engineering By K.K.Aggarwal & Y. Singh Created by: Kalyan Mondal
The Calculation Multiply all 15 Cost Drivers to get Effort
Adjustment Factor(EAF)
E(Effort) = ab(KLOC)bb * EAF(in Person-Month)
D(Development Time) = cb(E)db (in month)
Ep (Total Effort) = µp * E (in Person-Month)
Dp (Total Development Time) = τp * D (in
month)
Ref: Software Engineering By K.K.Aggarwal & Y. Singh Created by: Kalyan Mondal
Detailed COCOMO : ExampleConsider a project to develop a full screen editor. The major components identified and their sizes are (i) Screen Edit – 4K (ii) Command Lang Interpreter – 2K (iii) File Input and Output – 1K (iv) Cursor movement – 2K (v) Screen Movement – 3K. Assume the Required software reliability is high, product complexity is high, analyst capability is high & programming language experience is low. Use COCOMO model to estimate cost and time for different phases.
Size of modules : 4 + 2 + 1 + 2 + 3 = 13 KLOC [Organic]
EAF = 1.15 * 1.15 * 0.86 * 1.07 = 1.2169
Cost Drivers
Very Low
Low Nominal
High
Very High
Extra High
RELY 0.75 0.88 1.00 1.15
1.40 --
CPLX 0.70 0.85 1.00 1.15
1.30 1.65
ACAP 1.46 1.19 1.00 0.86
0.71
LEXP 1.14 1.07 1.00 0.95 -- --
Ref: Software Engineering By K.K.Aggarwal & Y. Singh Created by: Kalyan Mondal
Example (Contd.)Initial Effort (E) = ab(KLOC)b
b * EAF = 3.2*(12)1.05 * 1.2169 = 52.9 person-months
Initial Development Time = cb(E)db =2.5*(52.9)0.38 =
11.29 months
Phase value of µp and τp
Phase wise effort & development time distribution
Plan &
Reqr
System
Design
Detail Desig
n
Module code &
test
Integration & Test
Organic Small µp
0.06 0.16 0.26 0.42 0.16
Organic Small τp
0.10 0.19 0.24 0.39 0.18
Ref: Software Engineering By K.K.Aggarwal & Y. Singh Created by: Kalyan Mondal
E D Ep (in person-months)
Dp (in months)
Plan & Requirement
52.9 11.29 0.06*52.9 = 3.17
0.10*11.29=1.12
System Design 52.9 11.29 0.16*52.9=8.46 0.19*11.29=2.14
Detail Design 52.9 11.29 0.26*52.9=13.74
0.24*11.29=2.70
Module code & test
52.9 11.29 0.42*52.9=22.21
0.39*11.29=4.40
Integration & test
52.9 11.29 0.16*52.9=8.46 0.18*11.29=2.03
WHY COCOMO-II ? The changes in s/w development techniques
included a move away from mainframe overnight batch processing to desktop-based real-time turnaround.
These changes and others began to make applying the original COCOMO model problematic.
The model is tuned to the life cycle practices of the 21st century.
Ref: Software Engineering By K.K.Aggarwal & Y. Singh and csse website by : Jyotsna Agnihotri
Categories Identified By Cocomo II
End User ProgrammingInfrastructure SectorIntermediate Sectors
1. Application Generators And Composition Aids2. Application Composition Sector3. System Integration
Stages Of Cocomo-IIApplication CompositionEarlier DesignPost Architecture
Ref: Software Engineering By K.K.Aggarwal & Y. Singh by : Jyotsna Agnihotri
Application CompositionAssess Object Counts
Classification Of Complexity
LevelsAssign Complexity
Weight To Each Object
Determine Object Points
Compute New Object Points
Calculation Of Productivity
Rate
Compute The Effort In Person
Months.
• Assess object counts: Estimate the number of screens, reports and 3 GL components that will comprise this application.
• Classification of complexity levels: We have to classify each object instance (depending on values of its characteristics) into :-
o simpleo medium o Difficult
• Assign complexity weight to each object : The weights are used for three object types :-o screeno report o 3GL components
Ref: Software Engineering By K.K.Aggarwal & Y. Singh by : Jyotsna Agnihotri
• Determine object points: Add all the weighted object instances to get one number and this known as object-point count.
• Compute new object points: We have to estimate the percentage of reuse to be achieved in a project. Depending on the percentage reuse, the new object points (NOP) are computed.
Object Points * (100 - %reuse)
NOP = ---------------------------------------------
100
NOP are the object points that will need to be developed and differ from the object point count because there may be reuse( percentage of the Product development which is accomplished by exploiting the existence of existing component's design-or-development effort).
Ref: Software Engineering By K.K.Aggarwal & Y. Singh&gilb.com by : Jyotsna Agnihotri
• Calculation of productivity rate: The productivity rate can be calculated as:
Productivity rate (PROD) = NOP/Person month
• Compute the effort in Persons-Months: When PROD is known, we may estimate effort in Person-Months as:
NOP Effort in PM = ------------
PROD
Ref: Software Engineering By K.K.Aggarwal & Y. Singh by : Jyotsna Agnihotri
Example: Consider a database application project with the following characteristics:
The application has 4 screens with 4 views each and 7 data tables for 3 servers and 4 clients.
The application may generate two report of 6 sections each from 07 data tables for two server and 3 clients. There is 10% reuse of object points.
The developer’s experience and capability in the similar environment is low. The maturity of organization in terms of capability is also low. Calculate the object point count, New object points and effort to develop such a project.
Example
Ref: Software Engineering By K.K.Aggarwal & Y. Singh by : Jyotsna Agnihotri
Solution :Lets have a look on the tables for screens, for reports , for complexity weights for each level
No. Of Views Contained in a screen
Total<4(<2 servers<3 clients)
Total<8(2-3 servers3-5 clients)
Total 8+(>3 servers>5 clients)
<3 Simple Simple Medium
3-7 Simple Medium Difficult
>8 Medium Difficult Difficult
No. Of SectionsContained in a report
Total<4(<2 servers<3 clients)
Total<8(2-3 servers3-5 clients)
Total 8+(>3 servers>5 clients)
0 or 1 Simple Simple Medium
2 or 3 Simple Medium Difficult
4+ Medium Difficult Difficult
This project comes under the category of application composition estimation model.
Number of screens = 4 with 4 views each Number of reports = 2 with 6 sections each From Table we know that each screen will be of medium complexity
and each report will be difficult complexity. Using Table of complexity weights, we may calculate object point
count
= 4 x 2 + 2 x 8 = 24
Ref: Software Engineering By K.K.Aggarwal & Y. Singh by : Jyotsna Agnihotri
Object Type
Simple Complexity
MediumComplexity
Difficult Complexity
Screen 1 2 3
Report 2 5 8
3GL - - 10
Using the formula NOP is calculated as:
NOP= 24 * (100-10)/100=21.6
Low value of productivity is given in above Productivity table = 7
Efforts in PM=NOP/PROD=21.6/7=3.086 PM
Developer’s Experience And Capability
PROD (NOP/PM)
Very low 4
Low 7
Nominal 13
High 25
Very high 50
Ref: Software Engineering By K.K.Aggarwal & Y. Singh by : Jyotsna Agnihotri
32
Early Design ModelUsed in the early stages of a software project when very little may be known about:
the size of the product to be developed, the nature of the target platform, the nature of the personnel to be involved in the project.
Uses Unadjusted Function Points (UFP) as the measure of size.Based on a standard formula for COCOMO-II models:
WherePMnominal = Effort of the project in person monthsA = Constant representing the nominal productivity, provisionally set to 2.5B = Scale factorSize = Software size
Created by- Karishma Gupta (2012CA55) Ref: Software Engineering By K.K. Aggarwal & Yogesh Singh
33
The Scaling Factors that COCOMO-II model uses for thecalculation of B are: Precedentness (PREC) Development flexibility (FLEX) Architecture/ Risk Resolution (RESL) Team Cohesion (TEAM) Process maturity (PMAT)
Early design cost driversThere are 7 early design cost drivers and are given below:
1. Product Reliability and Complexity (RCPX) 2. Required Reuse (RUSE)3. Platform Difficulty (PDIF)4. Personnel Capability (PERS)5. Personnel Experience (PREX)6. Facilities (FCIL)7. Schedule (SCED)
Created by- Karishma Gupta (2012CA55) Ref: Software Engineering By K.K. Aggarwal & Yogesh Singh
Data for the Computation of B (Scalar Factor)
Scaling Factors Very Low Low Nominal High Very High Extra High
Precedentness 6.20 4.96 3.72 2.48 1.24 0.00
Development Flexibility
5.07 4.05 3.04 2.03 2.03 0.00
Architecture/ Risk Resolution
7.07 5.65 4.24 2.83 1.41 0.00
Team Cohesion 5.48 4.38 3.29 2.19 1.10 0.00
Process Maturity
7.80 6.24 4.68 3.12 1.56 0.00
Created by- Karishma Gupta (2012CA55) Ref: Software Engineering By K.K. Aggarwal & Yogesh Singh
If B=1.0, then Linear relationship b/w Effort & Size.If B 1.0, then Non-Linear relationship b/w Effort & Size.
If B<1.0, then the rate of increase of effort decreases as the size of the product increases.
If B>1.0, then the rate of increase of effort increases as the size of the product increases.
B = 0.91 + 0.01 * (Sum of rating on scaling factors for the project)
When all the scaling factors of a project are rated as extra high, then the best value of B= 0.91 (for COCOMO II.2000)
when all the scaling factors of a project are rated as very low,Then the worst value of B= 1.23 (for COCOMO II.2000)Hence, the value of B may vary from 0.91 to 1.23
Created by- Karishma Gupta (2012CA55) Ref: Software Engineering By K.K. Aggarwal & Yogesh Singh
Calculate the scalar factor B
36
Early Design Model: ExampleQuestion: A software project of application generator category with estimated 50 KLOC has to be developed. The scale factor (B) has low precedentness, high development flexibility and low team cohesion.
Other factors are nominal. The early design cost drivers like platform difficult (PDIF) and Personnel Capability (PERS) are high and others are nominal.
Calculate the Effort in person-months for the development of the project.
Created by- Karishma Gupta (2012CA55) Ref: Software Engineering By K.K. Aggarwal & Yogesh Singh
Early Design Cost Drivers
Extra Low
Very Low
Low Nominal High Very High
Extra High
RCPX 0.73 0.81 0.98 1.0 1.30 1.74 2.38
RUSE - - 0.95 1.0 1.07 1.15 1.24
PDIF - - 0.87 1.0 1.29 1.81 2.61
PERS 2.12 1.62 1.26 1.0 0.83 0.63 0.50
PREX 1.59 1.33 1.12 1.0 0.87 0.71 0.62
FCIL 1.43 1.30 1.10 1.0 0.87 0.73 0.62
SCED - 1.43 1.14 1.0 1.0 1.0 -
37
B = 0.91 + 0.01 * (Sum of rating on scaling factors for the project) = 0.91 + 0.01 * (4.96 + 2.03 + 4.24 + 4.38 + 4.68) = 0.91 + 0.01(20.29)=1.1129
= 2.5 * (50)1.1129 = 194.41 Person-months
here A=2.5 (for COCOMO II.2000) predefined The 7 cost drivers are:
PDIF = high (1.29) PERS = high (0.83)
RCPX = nominal (1.0) RUSE = nominal (1.0)PREX = nominal (1.0) FCIL = nominal
(1.0)SCEO = nominal (1.0)
Solution :
= 194.41 * [1.29 x 0.83]= 194.41 x 1.07= 208.155 Person months
Created by- Karishma Gupta (2012CA55) Ref: Software Engineering By K.K. Aggarwal & Yogesh Singh
Post Architecture Model• Most detailed estimation model.• Used when a software life cycle architecture has been completed. • Used in the development and maintenance of software products in the application generators, system integration or infrastructure sectors.
WhereEM : Effort multiplier which is the product of 17 cost drivers.PMnominal = Effort of the project in person months.
Lines of Codes Counting RulesFunction PointsCost Drivers
38Created by- Karishma Gupta (2012CA55) Ref: Software Engineering By K.K. Aggarwal & Yogesh Singh
39
Cost Drivers of Post Architecture
•Required Software Reliability (RELY)
•Database Size (DATA)
•Product Complexity (CPLX)
•Documentation (DOCU)
•Required Reusability (RUSE)
Product Attributes
•Execution Time Constraint (TIME)
•Platform Volatility (PVOL)
•Main Storage constraint (STOR)
Computer Attributes
•Analyst Capability (ACAP)
•Personnel Continuity (PCON)
•Programmer Experience (PEXP)
•Programmer Capability (PCAP)
• Analyst Experience(AEXP)
•Language & Tool Experience (LTEX)
Personnel Attributes
•Use of Software tools (TOOL)
•Required development schedule (SCED)
•Site Locations & Communications Technology b/w sites (SITE)
Project Attributes
Created by- Karishma Gupta (2012CA55) Ref: Software Engineering By K.K. Aggarwal & Yogesh Singh
Added Cost Drivers
7 cost drivers DOCU RUSE PVOL PLEX LTEX PCON SITE
Deleted Cost Drivers
5 Cost Drivers• VIRT• TURN• VEXP• LEXP• MODP
Created by- Karishma Gupta (2012CA55) Ref: Software Engineering By K.K. Aggarwal & Yogesh Singh
Cost Drivers
Very Low Low Nominal High Very High Extra High
RELY 0.75 0.88 1.00 2.48 1.24 0.00
DATA 0.93 1.00 2.03 2.03 0.00
CPLX 0.75 0.88 1.00 2.83 1.41 0.00
RUSE 0.91 1.00 2.19 1.10 0.00
DOCU 0.89 0.95 1.00 3.12 1.56 0.00
TIME 1.00 1.11 1.31 1.67
STOR 1.00 1.06 1.21 1.57
PVOL 0.87 1.00 1.15 1.30
ACAP 1.50 1.22 1.00 0.83 0.67
PCAP 1.37 1.16 1.00 0.87 0.74
PCON 1.24 1.10 1.00 0.92 0.84
AEXP 1.22 1.10 1.00 0.89 0.81
PEXP 1.25 1.12 1.00 0.88 0.81
LTEX 1.22 1.10 1.00 0.91 0.84
TOOL 1.24 1.12 1.00 0.86 0.72
SITE 1.25 1.10 1.00 0.92 0.84 0.78
SCED 1.29 1.10 1.00 1.00 1.00
17 Cost Drivers
Created by- Karishma Gupta (2012CA55) Ref: Software Engineering By K.K. Aggarwal & Yogesh Singh
42
Schedule Estimation
Development time can be calculated using PMadjusted as a key factor and the desired equation is:
Where= constant, provisionally set to 3.67, B = Scaling factor
TDEVnominal = calendar time in months with a scheduled constraintPMadjusted = Estimated effort in Person months (after adjustment)
Size can be measured in any unit and the model can be calibratedaccordingly. However, COCOMO II details are:I. Application composition model uses the size in object points.II. The other two models use size in KLOC.
Size Measurement
Created by- Karishma Gupta (2012CA55) Ref: Software Engineering By K.K. Aggarwal & Yogesh Singh
43
Post Architecture: ExampleQues: A software project of application generator category with estimated 50 KLOC has to be developed. The scale factor (B) has low precedentness, high development flexibility and low team cohesion. The identified 17 Cost drivers are high reliability (RELY), very high database size (DATA), high execution time constraint (TIME),very high analyst capability (ACAP), high programmers capability (PCAP).The other cost drivers are nominal. Calculate the effort in Person-Months for the development of the project.
Here B = 1.1129PMnominal = 194.41 Person-months
= 194.41 x (1.15 x 1.19 x 1.11 x 0.67 x 0.87)= 194.41 x 0.885= 172.05 Person-months
Solution :
Created by- Karishma Gupta (2012CA55) Ref: Software Engineering By K.K. Aggarwal & Yogesh Singh
Created by- Karishma Gupta (2012CA55) Ref: Software Engineering By K.K. Aggarwal & Yogesh Singh
Final Word“The models are just there to help, not to make the management decisions for you.”
--Barry Boehm
Ref: https://cs.uwaterloo.ca/~apidduck/se362/Lectures/cocomo.pdf
ReferencesSoftware Engineering (Third Edition) By
K.K.Aggarwal & Y. SinghFundamentals of Software Engineering (Third
Edition) By Rajib MallSoftware Engineering , 6th Edition By Ian
SommervilleSoftware Engineering (Sixth Edition) by
Roger S. Pressmanhttps://cs.uwaterloo.ca/~apidduck/se362/
Lectures/cocomo.pdf
Thank You