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International Journal of Trend in Scientific Research and Development (IJTSRD)
Volume 3 Issue 5, August 2019 Available Online: www.ijtsrd.com e-ISSN: 2456 – 6470
@ IJTSRD | Unique Paper ID – IJTSRD26531 | Volume – 3 | Issue – 5 | July - August 2019 Page 933
A Study of Software Size Estimation with use Case Points
Aye Aye Seint
University of Computer Studies, Hinthada, Myanmar
How to cite this paper: Aye Aye Seint "A
Study of Software Size Estimation with
use Case Points" Published in
International
Journal of Trend in
Scientific Research
and Development
(ijtsrd), ISSN: 2456-
6470, Volume-3 |
Issue-5, August
2019, pp.933-936,
https://doi.org/10.31142/ijtsrd26531
Copyright © 2019 by author(s) and
International Journalof Trendin Scientific
Research and Development Journal. This
is an Open Access article distributed
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(http://creativecommons.org/licenses/by
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ABSTRACT
Estimates for cost and schedule in software projects are based on a prediction
of the size of the system. Software size estimation isthemostimportantrolein
software cost estimation. Use Case Point method can provide software size
estimation at the early stage of the development process. Software size
estimation is based on the high-level speciation of Use Case. This paper
describes a simple approach to software size estimation base on use case
models; the “Use Case Points Method. This model is imported into an
estimating tool. To get software size with Use Case Point, the needed factors
are the number of use cases and their complexity, the number of actors and
their complexity, technical complexity factors (TCF), and environmental
complexity factors (ECF). The system computes unadjusted use case points
(UUCP), adjusted use case points (UPC), and the total effort in staff hours.
1. INTRODUCTION
The use case is a notional description of a system,frequentlyused attheearliest
stages in a project. The use case is one type of graphically oriented notation in
the Unified Modeling Language (UML), a family of notational methods used to
describe various aspects of software and its underlying structures. Use cases
have three descriptive characteristics, which can be exploited to providesizing
information [10].
In object-oriented software production, use cases describe
functional requirements. The use casemodel may,therefore,
be used to predict the size of the future software system at
an early development stage. This paper describes a simple
approach for software cost estimation based on use case
models: the 'Use Case Points Method'.
Use cases provided a high-level description of the intended
function of the system. A small application might have only
one use case, while very large applications may have
hundreds. The numbers of scenarios are the potential
outcomes of the software. There is no limit on the number of
scenarios that a particular use case may have.
Actors are the “agents” that interact with the software and
so, use cases must have at least one actor. A commonly
accepted standard is one actor per use case.
In size estimatingwithuse casepoint, variousnon-functional
requirements are an important role. They are portability,
performance, maintainability,security, easytochangeandso
on, those are not written as a use case.
Cost and effort estimation is an important aspect of the
management of software development projects. Experience
shows that accurate estimation is difficult. Mostmethods for
estimating effort require an estimate of the size of the
software.
The basic formula for converting all of this into a single
measure, use case points, is that we will “weight” the
complexity of the use cases and actors and adjust their
combined weight to reflecttheinfluenceof thenonfunctional
and environmental factors. Then use case point can be used
to calculate the effort of the project[5].
2. SOFTWARE SIZE ESTIMATION
Software measurement is the process whereby numbers or
symbols are assigned to entities in order to describe the
entities in a meaningful way. Software size must be
measured and translated into a number that represents the
effort and duration of the project.
Software size can be defined as a set of internal attributes:
length, functionality and complexity, and can be measured
statically withoutexecutingthesystem. Reusemeasures how
much of a product was copied or modified, and can also be
identified as an aspect of size. Length is the physical size of
the product and can be measured for the specification, the
design, and the code. Functionality measures the functions
are seen by the user. Complexity referstoboth efficiencyand
problem complexity [4].
Estimation may be needed for project estimation and to
assess whether processor technology improvements are
effective. These productivity estimates are usually based on
measuring some attributes of the software and dividing this
by the total effort required for the development. There are
two types of measure Size-related measures and Function-
related measures.
These are related to the size of some output from activity.
The most common size-related measures are lines of
delivered source code. Other measures which may be used
are the number of delivered object code instructions or the
number of pages of system documentation [1].
IJTSRD26531
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD26531 | Volume – 3 | Issue – 5 | July - August 2019 Page 934
Function-related measures are related to the overall
functionality of the delivered software. Productivity is
expressed in terms of the amount of useful functionality
produced in some given time [1].
3. USE CASE AND SCENARIO
Use cases and scenarios are concerned with the behavior of
the system that is visible externally; they aim to establish
what the system does from the user’s point of view, in terms
that the user can readily understand. Although they have
become associated with object-orientation, both use case
and scenarios are functional and can be used in conjunction
with any approach to system development [2],[3].
The relationship between use cases and scenarios is that of
the generic to the specific, see Figure 1. A scenario
represents one instance of a use case, describingaparticular
sequence of events that may occur in trying to reach the use
case goal. The representationsmaylistwhatusuallyhappens
as follows :
user on second-floor press lift button to descend
lift button lights up
lift button alerts lift to go to the second floor
lift goes to the second floor
lift button light goes out
Figure1. Sequence diagram for a scenario
4. HIGH-LEVEL SPECIFICATION OF USE CASE
The use cases are fundamentally a text form, although they
can be written using flow charts, sequence charts, Petrinets,
or programming language. Under normal circumstances,
they serve to communicate from one person to another,
often to people with no special training. The simple text is,
therefore, usually the best choice [6].
Many people think that the ellipses are the use cases, even
though the ellipses convey very little information. The use
case description, as a form of writing, can be put into service
to stimulate discussion within a team about an upcoming
system. They might later use theuse casefromthedocument
the actual requirements.Anotherteammightlater document
the final design with the same use case form. They might do
this for a system as large as an entire company, or assmall as
a piece of a software application program [6].
The example of the high level specification of use case is;-
Use Case Name: Buy stocks over the web
Primary Actor: Personal Advisors
Level: User goal
Precondition: User already has PAF open.
Stakeholders and interests: Purchaser- wants to buy
stocks, get them added to the PAF portfolio automatically.
Stock agency- wants full purchase information.
Precondition: User already has PAF open.
Minimal guarantee: sufficient logginginformationthatPAF
can detect that something went wrong and can ask the user
to provide details.
Success guarantee: remote web site has acknowledged the
purchase, the logs and the user’s portfolio are updated.
Main success scenario:
The user selects to buy stocks over the web PAF gets the
name of the web site to use from the user.
PAF open web connection to the site, retaining control.
User browses and buys stock from the web site.
PAF intercepts responses from the web site and updates the
user’s portfolio.
PAF shows the user the new portfolio standing.
Extensions: User wants a web site PAF does not support.
The system gets new suggestion from the user, with the
option to cancel use case.
Web failure of any sort during step: 3a1. System reports
failure to the user with advice backs up to the previous step.
The user either backs out of this use case or tries again.
Computer crashes or gets switched off during a purchase
transaction;
When the use cases document an organization’s business
process, the system under discussion is the organization
itself. The stakeholders are the company shareholders,
customers, vendors, and government regulatory agencies.
The primary actors will include the company’s customers
and perhaps their suppliers.
5. THE USE CASE POINT METHOD
An early estimate of effort based on use cases can be made
when there is some understanding of the problem domain,
system size and architecture at the stage at which the
estimate is made. The use case points method is a software
sizing and estimation method based on use case counts
called use case points [4].
5.1. Classifying Actors and Use Case
Use case points can be counted from the use case analysis of
the system. The first step is to classify the actors as simple,
average or complex. A simple actor represents another
system with a defined Application Programming Interface,
API, an average actor is anothersysteminteractingthrough a
protocol such as TCP/IP, and a complex actor may be a
person interacting through a GUI or a Web page.Aweighting
factor is assigned to each actor type [8],[9].
Actor type: Simple, weighting factor 1
Actor type: Average, weighting factor 2
Actor type: Complex, weighting factor 3
The total unadjusted actor weights (UAW) is calculated by
counting how many actors there are of each kind (by the
degree of complexity),multiplyingeachtotalbyitsweighting
factor, and adding up the products.
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD26531 | Volume – 3 | Issue – 5 | July - August 2019 Page 935
Each use case is then defined as simple, average or complex,
depending on a number of transactions in the use case
description, including secondaryscenarios.A transaction isa
set of activities, which is either performed entirely or not at
all. Counting numberoftransactionscan bedonebycounting
the use case steps. Use case complexity is then defined and
weighted in the following manner:
Simple: 3 or fewer transactions, weighting factor 5
Average: 4 to7 transactions, weighting factor 10
Complex: More than 7 transactions, weighting factor 15.
Another mechanism for measuring use case complexity is
counting analysis classes, which can be used in place of
transactions once it has been determined which classes
implement a specific use case. A simple use case is
implemented by 5 or fewer classes, an average use case by 5
to 10 classes, and a complex use case by more than ten
classes. The weights areas before. Each type of use case is
then multiplied by the weighting factor, andtheproducts are
added up to get the unadjusted use case weights(UUCW)[5].
The UAW is added to the UUCW to get the unadjusted use
case points (UUPC):
UAW+UUCW=UUCP
5.2. Technical and Environmental Factors
The application of use case modeling for analyzing the
functional requirements of a system. Because it focuses on
how the system delivers or should deliver those functions, a
use case model is developed in the analysis phase of the
object-oriented system development life cycle
The method also employs a technical factors multiplier
corresponding to the Technical Complexity Adjustment
factor of the FPA method, and an environmental factors
multiplier in order to quantify non-functional requirements
such as ease of use and programmer motivation [7],[8].
Various factors influencing productivity are associated with
weights, and values are assigned to each factor, depending
on the degree of influence. 0 means no influence, 3 is
average, and 5 means strong influencethroughout. SeeTable
1 and Table 2.
The adjustment factors are multiplied by the unadjusted use
case points to produce the adjusted use case points, yielding
an estimate of the size of the software.
The Technical Complexity Factor (TCF) is calculated by
multiplying the value of each factor (T1- T13) by its weight
and then adding all these numbers to get the sum called the
TFactor. The following formula is applied:
TCF=0.6 + (0.01 * TFactor)
The Environmental Factor (EF) is calculated by multiplying
the value of each factor (F1-F8) by its weight and adding the
products to get the sum called the EFactor. The following
formula is applied:
EF= 1.4 + (-0.03 * EFactor)
The adjusted use case points (UPC) are calculated as
follows:
UPC= UUCP*TCF*EF
Table1. Technical complexity factor
Factor Description Weight
T1 Distributed system 2
T2 Performance objectives 2
T3 End-user efficiency 1
T4 Complex processing 1
T5 Reusable code 1
T6 Easy to install 0.5
T7 Easy to use 0.5
T8 Portable 2
T9 Easy to change 1
T10 Concurrent use 1
T11 Security 1
T12 Access for third parties 1
T13 Training needs 1
Table2. Environmental factor
Factor Description Weight
E1
Familiar with the development
process
1.5
E2 Application experience 0.5
E3 Object-oriented experience 1
E4 Lead analyst capability 0.5
E5 Motivation 1
E6 Stable requirements 2
E7 Part-time staff -1
E8 Difficult programming language -1
6. STUDY OF PROJECT
Cost and effort estimation is an important aspect of the
management of software development projects. Experience
shows that accurate estimation is difficult. Mostmethods for
estimating effort require an estimate of the size of the
software.
Once a size estimate is available, models can be used that
relate size to effort. Most cost estimation models attempt to
generate an effort estimate, which can then be converted
into the project duration and cost. Although effort and cost
are closely related, they are not necessarily related by a
simple transformation function.
Cost and effort estimation is an important aspect of the
management of software development projects [9].
Experience shows that accurate estimation is difficult.
Accurate software cost estimates are critical to both
developers and customers.
This paper describes the use case point method applied to
the project. Estimation results are computed for ten small
projects with the use case point method and compared to
estimates with actual effort. The main goal of the
investigations is to determine the appropriate level of detail
in use case descriptions written for estimationpurposesand
how different actual and estimate effort result.
As seen from the results present in Table 3, use cases must
be written at a user goal level of detail if they are to be used
effectively for estimation purposes. If descriptions are
lacking in detail, and there is a doubt as to if all the
functionality has been correctly described.
The results show that as opposedtothetechnicalcomplexity
factors, the environmental factors play a significant part in
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD26531 | Volume – 3 | Issue – 5 | July - August 2019 Page 936
the estimates. Setting the scores too high leads to
underestimation.
The number of environmental factors in F1 through F6 that
are above 3 are counted and added to the number of factors
in F7 through F8 that is below 3. If the total is 2 or less, they
propose 20 staff hours per UCP; if the total is 3 or 4, the
value is 28 staff hours per UCP.
Table3. The comparison result of projects
Project
No
Estimate
Effort(Hour)
Actual Effort
(Hour)
1 418 420
2 282 298
3 197 212
4 335 341
5 394 420
6 519 500
7 132 143
8 605 595
9 610 598
10 520 499
When the total exceeds 4, it is recommended that changes
should be made to the project so that the value can be
adjusted.
0
100
200
300
400
500
600
700
Software Size
1 2 3 4 5 6 7 8 9 10
Projects
Estimate Effort
Actual Effort
Figure2. Compare the result of estimate effort and
actual effort (staff hour)
7. CONCLUSION
The system is calculatedonapplying amethod for estimating
software development effort based on usecases,theuse case
points method. The results indicate that this method can be
used successfully since the use case estimates were close to
the expert estimates. It is, therefore, our impression that the
method may support expert knowledge. This systemintends
to further study the precision of the use case point method
compared with expert estimates. The system will conduct a
study where the estimators have different levels of
experience.
The trouble with sizing use cases that are lacking in textual
detail became evident. Sizing becomes time-consuming,and
there that the functionalityis notexpressed wellenough,and
that the system will be underestimated.
This paper also would be useful to investigate how the use
case points method, which provides top-down estimates
based on a measure of size, can be combined with other
methods that provide bottom-up estimates. The purpose of
using the estimation method investigated in this paper is to
provide a complete estimate for all the activities in the
project.
REFERENCES
[1] Ian Sommerville, SoftwareEngineering,eighth Editions,
Addison Wesley, 2009
[2] Grady Booch, James Rumbaugh, Ivan Jacobson, the
Unified Modeling Language User Guide, May 2003.
[3] Carol Britton (University of Hertfordshire) Jill Docke
(Angli Polytechnic University), Object-Oriented System
Development, McGraw-HILL INTERNATIONAL
EDITION, 2001.
[4] Kirsten Ribu, Estimating Object-Oriented Software
Projects With Use Case, The University of Oslo, 7th
November 2001.
[5] Schneider and Winters, “Applying useCases”.Addison-
Wesley, 1998
[6] Alistair Cockburn, Writing Effective Use Cases, 21st
February 2000
[7] Bente Anda, “Effort Estimation of Use Case for
Incremental Large-Scale software Development”,
Norwegian University of Science and Technology
(NTNU)
[8] Bente Anda, HegenDreiem, Dag I.K Sjoberg and Magne
Jorgensen, “Estimating Software Development Effort
based on Use Cases Experiences from Industry”,
Department of Informatics, University of Oslo.
NORWAY.
[9] Gautam Banerjee, “Use Case Points An Estimation
Approach”, August 2001.
[10] J. Kammelar,“A SizingApproachforOO-environments”.
In forth International ECOOP Workshop on
Quantitative Approaches in Object-Oriented Software
Engineering, Cannes, 2000.

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A Study of Software Size Estimation with use Case Points

  • 1. International Journal of Trend in Scientific Research and Development (IJTSRD) Volume 3 Issue 5, August 2019 Available Online: www.ijtsrd.com e-ISSN: 2456 – 6470 @ IJTSRD | Unique Paper ID – IJTSRD26531 | Volume – 3 | Issue – 5 | July - August 2019 Page 933 A Study of Software Size Estimation with use Case Points Aye Aye Seint University of Computer Studies, Hinthada, Myanmar How to cite this paper: Aye Aye Seint "A Study of Software Size Estimation with use Case Points" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456- 6470, Volume-3 | Issue-5, August 2019, pp.933-936, https://doi.org/10.31142/ijtsrd26531 Copyright © 2019 by author(s) and International Journalof Trendin Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative CommonsAttribution License (CC BY 4.0) (http://creativecommons.org/licenses/by /4.0) ABSTRACT Estimates for cost and schedule in software projects are based on a prediction of the size of the system. Software size estimation isthemostimportantrolein software cost estimation. Use Case Point method can provide software size estimation at the early stage of the development process. Software size estimation is based on the high-level speciation of Use Case. This paper describes a simple approach to software size estimation base on use case models; the “Use Case Points Method. This model is imported into an estimating tool. To get software size with Use Case Point, the needed factors are the number of use cases and their complexity, the number of actors and their complexity, technical complexity factors (TCF), and environmental complexity factors (ECF). The system computes unadjusted use case points (UUCP), adjusted use case points (UPC), and the total effort in staff hours. 1. INTRODUCTION The use case is a notional description of a system,frequentlyused attheearliest stages in a project. The use case is one type of graphically oriented notation in the Unified Modeling Language (UML), a family of notational methods used to describe various aspects of software and its underlying structures. Use cases have three descriptive characteristics, which can be exploited to providesizing information [10]. In object-oriented software production, use cases describe functional requirements. The use casemodel may,therefore, be used to predict the size of the future software system at an early development stage. This paper describes a simple approach for software cost estimation based on use case models: the 'Use Case Points Method'. Use cases provided a high-level description of the intended function of the system. A small application might have only one use case, while very large applications may have hundreds. The numbers of scenarios are the potential outcomes of the software. There is no limit on the number of scenarios that a particular use case may have. Actors are the “agents” that interact with the software and so, use cases must have at least one actor. A commonly accepted standard is one actor per use case. In size estimatingwithuse casepoint, variousnon-functional requirements are an important role. They are portability, performance, maintainability,security, easytochangeandso on, those are not written as a use case. Cost and effort estimation is an important aspect of the management of software development projects. Experience shows that accurate estimation is difficult. Mostmethods for estimating effort require an estimate of the size of the software. The basic formula for converting all of this into a single measure, use case points, is that we will “weight” the complexity of the use cases and actors and adjust their combined weight to reflecttheinfluenceof thenonfunctional and environmental factors. Then use case point can be used to calculate the effort of the project[5]. 2. SOFTWARE SIZE ESTIMATION Software measurement is the process whereby numbers or symbols are assigned to entities in order to describe the entities in a meaningful way. Software size must be measured and translated into a number that represents the effort and duration of the project. Software size can be defined as a set of internal attributes: length, functionality and complexity, and can be measured statically withoutexecutingthesystem. Reusemeasures how much of a product was copied or modified, and can also be identified as an aspect of size. Length is the physical size of the product and can be measured for the specification, the design, and the code. Functionality measures the functions are seen by the user. Complexity referstoboth efficiencyand problem complexity [4]. Estimation may be needed for project estimation and to assess whether processor technology improvements are effective. These productivity estimates are usually based on measuring some attributes of the software and dividing this by the total effort required for the development. There are two types of measure Size-related measures and Function- related measures. These are related to the size of some output from activity. The most common size-related measures are lines of delivered source code. Other measures which may be used are the number of delivered object code instructions or the number of pages of system documentation [1]. IJTSRD26531
  • 2. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD26531 | Volume – 3 | Issue – 5 | July - August 2019 Page 934 Function-related measures are related to the overall functionality of the delivered software. Productivity is expressed in terms of the amount of useful functionality produced in some given time [1]. 3. USE CASE AND SCENARIO Use cases and scenarios are concerned with the behavior of the system that is visible externally; they aim to establish what the system does from the user’s point of view, in terms that the user can readily understand. Although they have become associated with object-orientation, both use case and scenarios are functional and can be used in conjunction with any approach to system development [2],[3]. The relationship between use cases and scenarios is that of the generic to the specific, see Figure 1. A scenario represents one instance of a use case, describingaparticular sequence of events that may occur in trying to reach the use case goal. The representationsmaylistwhatusuallyhappens as follows : user on second-floor press lift button to descend lift button lights up lift button alerts lift to go to the second floor lift goes to the second floor lift button light goes out Figure1. Sequence diagram for a scenario 4. HIGH-LEVEL SPECIFICATION OF USE CASE The use cases are fundamentally a text form, although they can be written using flow charts, sequence charts, Petrinets, or programming language. Under normal circumstances, they serve to communicate from one person to another, often to people with no special training. The simple text is, therefore, usually the best choice [6]. Many people think that the ellipses are the use cases, even though the ellipses convey very little information. The use case description, as a form of writing, can be put into service to stimulate discussion within a team about an upcoming system. They might later use theuse casefromthedocument the actual requirements.Anotherteammightlater document the final design with the same use case form. They might do this for a system as large as an entire company, or assmall as a piece of a software application program [6]. The example of the high level specification of use case is;- Use Case Name: Buy stocks over the web Primary Actor: Personal Advisors Level: User goal Precondition: User already has PAF open. Stakeholders and interests: Purchaser- wants to buy stocks, get them added to the PAF portfolio automatically. Stock agency- wants full purchase information. Precondition: User already has PAF open. Minimal guarantee: sufficient logginginformationthatPAF can detect that something went wrong and can ask the user to provide details. Success guarantee: remote web site has acknowledged the purchase, the logs and the user’s portfolio are updated. Main success scenario: The user selects to buy stocks over the web PAF gets the name of the web site to use from the user. PAF open web connection to the site, retaining control. User browses and buys stock from the web site. PAF intercepts responses from the web site and updates the user’s portfolio. PAF shows the user the new portfolio standing. Extensions: User wants a web site PAF does not support. The system gets new suggestion from the user, with the option to cancel use case. Web failure of any sort during step: 3a1. System reports failure to the user with advice backs up to the previous step. The user either backs out of this use case or tries again. Computer crashes or gets switched off during a purchase transaction; When the use cases document an organization’s business process, the system under discussion is the organization itself. The stakeholders are the company shareholders, customers, vendors, and government regulatory agencies. The primary actors will include the company’s customers and perhaps their suppliers. 5. THE USE CASE POINT METHOD An early estimate of effort based on use cases can be made when there is some understanding of the problem domain, system size and architecture at the stage at which the estimate is made. The use case points method is a software sizing and estimation method based on use case counts called use case points [4]. 5.1. Classifying Actors and Use Case Use case points can be counted from the use case analysis of the system. The first step is to classify the actors as simple, average or complex. A simple actor represents another system with a defined Application Programming Interface, API, an average actor is anothersysteminteractingthrough a protocol such as TCP/IP, and a complex actor may be a person interacting through a GUI or a Web page.Aweighting factor is assigned to each actor type [8],[9]. Actor type: Simple, weighting factor 1 Actor type: Average, weighting factor 2 Actor type: Complex, weighting factor 3 The total unadjusted actor weights (UAW) is calculated by counting how many actors there are of each kind (by the degree of complexity),multiplyingeachtotalbyitsweighting factor, and adding up the products.
  • 3. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD26531 | Volume – 3 | Issue – 5 | July - August 2019 Page 935 Each use case is then defined as simple, average or complex, depending on a number of transactions in the use case description, including secondaryscenarios.A transaction isa set of activities, which is either performed entirely or not at all. Counting numberoftransactionscan bedonebycounting the use case steps. Use case complexity is then defined and weighted in the following manner: Simple: 3 or fewer transactions, weighting factor 5 Average: 4 to7 transactions, weighting factor 10 Complex: More than 7 transactions, weighting factor 15. Another mechanism for measuring use case complexity is counting analysis classes, which can be used in place of transactions once it has been determined which classes implement a specific use case. A simple use case is implemented by 5 or fewer classes, an average use case by 5 to 10 classes, and a complex use case by more than ten classes. The weights areas before. Each type of use case is then multiplied by the weighting factor, andtheproducts are added up to get the unadjusted use case weights(UUCW)[5]. The UAW is added to the UUCW to get the unadjusted use case points (UUPC): UAW+UUCW=UUCP 5.2. Technical and Environmental Factors The application of use case modeling for analyzing the functional requirements of a system. Because it focuses on how the system delivers or should deliver those functions, a use case model is developed in the analysis phase of the object-oriented system development life cycle The method also employs a technical factors multiplier corresponding to the Technical Complexity Adjustment factor of the FPA method, and an environmental factors multiplier in order to quantify non-functional requirements such as ease of use and programmer motivation [7],[8]. Various factors influencing productivity are associated with weights, and values are assigned to each factor, depending on the degree of influence. 0 means no influence, 3 is average, and 5 means strong influencethroughout. SeeTable 1 and Table 2. The adjustment factors are multiplied by the unadjusted use case points to produce the adjusted use case points, yielding an estimate of the size of the software. The Technical Complexity Factor (TCF) is calculated by multiplying the value of each factor (T1- T13) by its weight and then adding all these numbers to get the sum called the TFactor. The following formula is applied: TCF=0.6 + (0.01 * TFactor) The Environmental Factor (EF) is calculated by multiplying the value of each factor (F1-F8) by its weight and adding the products to get the sum called the EFactor. The following formula is applied: EF= 1.4 + (-0.03 * EFactor) The adjusted use case points (UPC) are calculated as follows: UPC= UUCP*TCF*EF Table1. Technical complexity factor Factor Description Weight T1 Distributed system 2 T2 Performance objectives 2 T3 End-user efficiency 1 T4 Complex processing 1 T5 Reusable code 1 T6 Easy to install 0.5 T7 Easy to use 0.5 T8 Portable 2 T9 Easy to change 1 T10 Concurrent use 1 T11 Security 1 T12 Access for third parties 1 T13 Training needs 1 Table2. Environmental factor Factor Description Weight E1 Familiar with the development process 1.5 E2 Application experience 0.5 E3 Object-oriented experience 1 E4 Lead analyst capability 0.5 E5 Motivation 1 E6 Stable requirements 2 E7 Part-time staff -1 E8 Difficult programming language -1 6. STUDY OF PROJECT Cost and effort estimation is an important aspect of the management of software development projects. Experience shows that accurate estimation is difficult. Mostmethods for estimating effort require an estimate of the size of the software. Once a size estimate is available, models can be used that relate size to effort. Most cost estimation models attempt to generate an effort estimate, which can then be converted into the project duration and cost. Although effort and cost are closely related, they are not necessarily related by a simple transformation function. Cost and effort estimation is an important aspect of the management of software development projects [9]. Experience shows that accurate estimation is difficult. Accurate software cost estimates are critical to both developers and customers. This paper describes the use case point method applied to the project. Estimation results are computed for ten small projects with the use case point method and compared to estimates with actual effort. The main goal of the investigations is to determine the appropriate level of detail in use case descriptions written for estimationpurposesand how different actual and estimate effort result. As seen from the results present in Table 3, use cases must be written at a user goal level of detail if they are to be used effectively for estimation purposes. If descriptions are lacking in detail, and there is a doubt as to if all the functionality has been correctly described. The results show that as opposedtothetechnicalcomplexity factors, the environmental factors play a significant part in
  • 4. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD26531 | Volume – 3 | Issue – 5 | July - August 2019 Page 936 the estimates. Setting the scores too high leads to underestimation. The number of environmental factors in F1 through F6 that are above 3 are counted and added to the number of factors in F7 through F8 that is below 3. If the total is 2 or less, they propose 20 staff hours per UCP; if the total is 3 or 4, the value is 28 staff hours per UCP. Table3. The comparison result of projects Project No Estimate Effort(Hour) Actual Effort (Hour) 1 418 420 2 282 298 3 197 212 4 335 341 5 394 420 6 519 500 7 132 143 8 605 595 9 610 598 10 520 499 When the total exceeds 4, it is recommended that changes should be made to the project so that the value can be adjusted. 0 100 200 300 400 500 600 700 Software Size 1 2 3 4 5 6 7 8 9 10 Projects Estimate Effort Actual Effort Figure2. Compare the result of estimate effort and actual effort (staff hour) 7. CONCLUSION The system is calculatedonapplying amethod for estimating software development effort based on usecases,theuse case points method. The results indicate that this method can be used successfully since the use case estimates were close to the expert estimates. It is, therefore, our impression that the method may support expert knowledge. This systemintends to further study the precision of the use case point method compared with expert estimates. The system will conduct a study where the estimators have different levels of experience. The trouble with sizing use cases that are lacking in textual detail became evident. Sizing becomes time-consuming,and there that the functionalityis notexpressed wellenough,and that the system will be underestimated. This paper also would be useful to investigate how the use case points method, which provides top-down estimates based on a measure of size, can be combined with other methods that provide bottom-up estimates. The purpose of using the estimation method investigated in this paper is to provide a complete estimate for all the activities in the project. REFERENCES [1] Ian Sommerville, SoftwareEngineering,eighth Editions, Addison Wesley, 2009 [2] Grady Booch, James Rumbaugh, Ivan Jacobson, the Unified Modeling Language User Guide, May 2003. [3] Carol Britton (University of Hertfordshire) Jill Docke (Angli Polytechnic University), Object-Oriented System Development, McGraw-HILL INTERNATIONAL EDITION, 2001. [4] Kirsten Ribu, Estimating Object-Oriented Software Projects With Use Case, The University of Oslo, 7th November 2001. [5] Schneider and Winters, “Applying useCases”.Addison- Wesley, 1998 [6] Alistair Cockburn, Writing Effective Use Cases, 21st February 2000 [7] Bente Anda, “Effort Estimation of Use Case for Incremental Large-Scale software Development”, Norwegian University of Science and Technology (NTNU) [8] Bente Anda, HegenDreiem, Dag I.K Sjoberg and Magne Jorgensen, “Estimating Software Development Effort based on Use Cases Experiences from Industry”, Department of Informatics, University of Oslo. NORWAY. [9] Gautam Banerjee, “Use Case Points An Estimation Approach”, August 2001. [10] J. Kammelar,“A SizingApproachforOO-environments”. In forth International ECOOP Workshop on Quantitative Approaches in Object-Oriented Software Engineering, Cannes, 2000.