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Function Points

(2)

Seminar on Software Cost Estimation: Funtion Points 2

Contents

1. Introduction

2. Concept

3. Procedure

4. Summary

(3)

What is a Function Point

n A unit to measure functionality of Software

n A measure based on elementary

processes* based on the users view

n * Elementary Process: the smallest unit

of activity meaningful to the user

(4)

Seminar on Software Cost Estimation: Funtion Points 4

History

n

1975 IBM internal

n

1979 Albrecht

n

1982 DeMarco

n

1983 British Mark II

n

1984 IBM (revised)

n

1985 SPR

n

1987 IFPUG 1

n

1988 IFPUG 2

n

1990 IFPUG 3

n

1995 IFPUG 4

n

1989 Texas Instruments

n

1997 ISO (working group)

(5)

Prerequisites

n user requirements

n e.g. ER-Diagram, Process Model,

workflow diagrams

(6)

Seminar on Software Cost Estimation: Funtion Points 6

3. Procedure

Determine Type of Count Identify:

- Scope

- Application Boundary Count:

- Data Functions

- Transactional Functions Determine:

- unadjusted FP Count

- Value Adjustment Factor

Calculate Adjusted FP Count

(7)

3.1 Counting Types

n Development

n Enhancement

n Application

(8)

Seminar on Software Cost Estimation: Funtion Points 8

Application Boundary

n Rule(s): based on User‘s view

n independent of technical ressources

n helps identifying EIFs

n Includes all that is done or held inside

the application

(9)

Application Boundary

Library Management Application

Students Management Application User

Application Boundary

(10)

Seminar on Software Cost Estimation: Funtion Points

Application Boundary: ER- Diagram

HR Application Salaried

Empl.

Employee

Job

Description Job Hourly

Empl.

Job Assignment Dependent

Currency

Conversion Rate

(11)

Function Types

Data Functions:

n Internal Logical File (ILF)

n External Interface File (EIF)

Transactional Functions:

ß External Input (EI)

ß External Outputs (EO)

ß External Inquiry

(EQ)

(12)

Seminar on Software Cost Estimation: Funtion Points 12

Application

ILF

EIF External Input

External Inquiry

_ External Output

Function Types

Another Application

(13)

Internal Logical File

A ILF is a group of user identifiable,

logically related information which is:

n Data or Control Information

n maintained within the boundary of the

application

(14)

Seminar on Software Cost Estimation: Funtion Points 14

Application

ILF

EIF External Input

External Inquiry

_ External Output

Data Functions

(15)

External Interface File

A EIF is a group of user identifiable, logically related information which is:

n Data or Control Information

n referenced by the application

n maintained by another application

(16)

Seminar on Software Cost Estimation: Funtion Points 16

Complexity and Contribution

ILF / EIF

Data Element Type (DET) Data

Element Type (DET)

Record Element Type (RET) Record

Element

Type (RET)

(17)

Data Element Type

A DET is a field of an EIF/ILF which is:

n user recognizable

n nonrecursive

n Maintained in or retrieved from the File

through an elementary process

(18)

Seminar on Software Cost Estimation: Funtion Points 18

Complexity and Contribution

ILF / EIF

Data Element Type (DET) Data

Element Type (DET)

Record Element Type (RET) Record

Element

Type (RET)

(19)

Record Element Type

A RET is a subgroup of data elements of an ILF/EIF which is:

n User recognizable

n Either optional or mandatory

(20)

Seminar on Software Cost Estimation: Funtion Points 20

Complexity

Element Data Type (DET)

Element Data Type (DET)

Record Element Type (RET)

Record Element Type (RET)

Record Element Type (RET)

Complexity (Low / Average / High)

(21)

Complexity

High High

Average 6 +

High Average

2 – 5 Low RET

Average Low

1 Low RET

51 + DET 20 – 50

DET 1 – 19

DET

(22)

Seminar on Software Cost Estimation: Funtion Points 22

Contribution

Complexity

unadj. FP Value

(23)

Contribution ILF / EIF

Internal Logical File

10 Average

7 Low

Unadj. FPs Complexity

Rating

External Interface File

7 Average

5 Low

Unadj. FPs Complexity

Rating

(24)

Seminar on Software Cost Estimation: Funtion Points 24

Function Type Totals

X Complexity

#

24 10

10 High

1

14 7

Average 2

0 5

Low 0

EIF

15 15

15 High

1

0 10

Average 0

0 7

Low 0

ILF

Function Type Totals Functional Complexity

Function

Type

(25)

Application

ILF External Input

External Inquiry

_ External Output

Transactional Functions

(26)

Seminar on Software Cost Estimation: Funtion Points 26

External Input Rules

n Receives data or control information from outside the boundary through an elementary process

n Information is either:

_ Altering the System State

_ Maintaining one or more ILF

n The different EIs are disjunctive in

functionality and Datafiles

(27)

External Inquiry / External Output shared Rules

n Sends data or control information outside the boundary through an elementary process

n contains a unique processing logic OR

n contains unique data elements OR

n references ILFs or EIFs different from other

EOs or EQs

(28)

Seminar on Software Cost Estimation: Funtion Points 28

External Output additional Rules

n Additional rules:

n Processing logic contains at least one mathematical formula

OR

n Processing logic creates derived data OR

n Processing logic maintains one or more ILFs OR

n Processing logic alters system state

(29)

External Inquiry additional Rules

n Processing Logic (PL) retrieves data or control information from an ILF or EIF

n PL does not contain mathematical formulas

n PL does not create derived data

n PL does not maintain an ILF

PL does not alter system state

(30)

Seminar on Software Cost Estimation: Funtion Points 30

Complexity and Contribution:

FTRs

n File type referenced: A ILF read or

maintained by the transactional function OR

n A EIF read by the transactional function

(31)

Complexity and Contribution:

DETs

Data element type:

n Crossing the boundary

n necessary for the Process

n for sending a system response message out of the boundary

n for the ability to specify an action to be

taken

(32)

Seminar on Software Cost Estimation: Funtion Points 32

Complexity

Data Element Type (DET)

Data Element

Type (DET) EIF (FTR) ILF (FTR) ILF (FTR)

Complexity

(33)

Complexity: EIs

External Inputs

High Avg.

Low 2 FTR

Avg.

Low 0 – 1 Low

FTR

16 + DET 5 – 15

DET 1 – 4

DET

External External Outputs / Inquiries

High Avg.

2 – 3 Low FTR

Avg.

Low 0 – 1 Low

FTR

19 + DET 6 – 19

DET 1 – 5

DET

(34)

Seminar on Software Cost Estimation: Funtion Points 34

Value Adjustment Factor

n Used for rating the general functionality of the application

n Depends on characteristics and context

n 14 system characteristics (IFPUG), each between 0 and 5

n May adjust unadjusted FP value up to

+/- 35%

(35)

System Characteristics

1.

Data Communications

2.

Distributed Data Processing

3.

Performance

4.

Heavily Used Configuration

5.

Transaction Rate

6.

Online Data Entry

7.

End-User Efficiency

8.

Online Update

9.

Complex Processing

10.

Reusability

11.

Installation Ease

12.

Operational Ease

13.

Multiple Sites

(36)

Seminar on Software Cost Estimation: Funtion Points 36

Value adjustment Factor

n Sum up all 14 degrees of influence for the system characteristics ‡ Total

degree of influence (TDI)

n VAF = (TDI * 0.01) +0.65

n VAF = [0.65..1.35]

(37)

Adjusted FP Value

n FP = (UFP + CFP) * VAF

n UFP: Unadjusted FP value

n CFP: Conversion functionality FP value (unadjusted)

n VAF: Value adjustment Factor

(38)

Seminar on Software Cost Estimation: Funtion Points 38

Advantages and Disadvantages of the FP Method

extendable

Not useable for small projects Very reliable for projects of medium and

large size

Relatively high effort and high cost Method can be applied early in the

specification process, only basic requirements are needed

Only trained people can use the method accurately

FPs are understandable /comparable for non technical users

No standard exists, but more than 35 different methods

FPs are independent of:

n

Hardware

n

Language

n

Platform

Disadvantages

Advantages

(39)

Summary

The Function Point Method is an excellent tool for estimating effort for Software Projects. It has been proven to be very reliable for medium and large Projects. The result is independent of Hard- and Software and based on the user’s

view.

Alas there are way too many different methods for counting FPs and the results differ up to

50% or more. Solution: Standards (IFPUG or ISO)

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