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    Structured analysis

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    2

    Problem Analysis and Fact Collection

    Objectives determine the organizational structure and its purpose, the

    problem areas, the environment around the organisation and

    identify the boundaries of the problem

    establish a detailed specification of the problem

    validate the gathered information

    Techniques for Fact Collection documentation review, interviewing, questioning, observation,

    measuring

    Preliminary Fact Documentation Matrices, Flowcharts, etc.

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    Traditional approach

    Traditional approach of organize and convert the

    data through system flowcharts.

    Flowchart only represent a physical rather than

    logical systems. it makes difficult to distinguish

    between what happens and how it happens

    pros & cons of traditional approach

    1. No accurate comm. with user. They have nolanguage in common.

    2. No tools avail to structure and control the

    details(business and technical)

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    Definition of Structured analysis

    Structured analysis is a set of techniques and

    graphical tools that allow the analyst to

    develop a new kind of system specification

    that are easily understandable to the user.

    Analysts work primarily with their wits, pencil

    and paper. [Kendall 1996]

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    Goals of Structured Analysis

    Improve Quality and reduce the risk of system failure

    Establish concrete requirements specifications and

    complete requirements documentation.

    Focus on Reliability, Flexibility, and Maintainability ofsystem

    Use graphics to communicate better to user.

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    Tools of structured analysis

    DFD (data flow diagram)

    Also known as bubble chart Clarify system requirement & identify major

    transformations.-that will become programs in

    system design

    DFD describe what data flow (logical)rather than how

    they are processed so it does not depend on

    hardware software, data structure or file organization

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    8

    DFD

    SYMBOLS

    A square defines a source or destination of system data:

    An arrow identifies data flow-data in motion: it is a pipeline

    through which info. Flow

    A circle or a bubble represents process that transform

    incoming data flow (s) in to outgoing data flow(s).

    An open rectangle is a data store-data at rest or temporaryrepository of data.

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    Why do we use DFDs?

    It is a way of taking the physical view and converting itinto a logical view.

    The physical view - all documents involved. The logical view - the data they contain. Their main purpose is to communicate with the user, the

    analysts understanding of the scope of the requiredsystem

    Constructing DFD:

    1. Process should be named and numbered for easyreference

    2. The direction of flow from top to bottom and from left toright

    3. When a process is exploded into lower level details,they

    are numbered ex:process 5 is exploded in tosubprocesses 5.1 and 5.24. The names of data stores ,sources,destinations,are

    written in capital letters5. Process and data flow names have the first letter of each

    word capital

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    Central Concepts

    Process (data transformation) activities that transform data

    related by dataflows to other processes, data

    store, and external entities.

    Data flow indicate passage of data from output of one

    entitie to input of another

    represent a data group or data element

    Data store a place where data is held for later use

    Data stores are passive: no transformations

    are performed on the data

    External entity An activity outside the target system

    Acts as source or destination for dataflows

    that cross the system boundary

    External entities cannot interact directly with

    data stores

    Data group A cluster of data represented as a single

    dataflow

    Consists of lower level data groups, or

    individual elements

    Data element a basic unit of data

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    Sources(external entities)

    Any class of people, anorganization, or anothersystem which existsoutside the system youare studying.

    Form the boundaries ofthe system.

    The system and external

    entities exchange data inthe form of data flows.

    Must be named, titlespreferred to names of

    individuals - use a noun

    source/

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    Data Flows data in motion marks movement of data through the

    system - a pipeline to carry data connects the processes, external

    entities and data stores Unidirectional originate OR end at a process (or both) name as specifically as possible -

    reflect the composition of the data - anoun

    do not show control flow! Control flowis easy to identify- a signal with onlyone byte - (on/off).

    HINT: if you can't name it: either it'scontrol flow, doesn't exist or you needto get more information!

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    Processes transform incoming data

    flows into outgoing dataflows

    represent with a bubble orrounded square

    name with a strongVERB/OBJECTcombination; examples:

    create_exception_reportvalidate_input_characters

    calculate_discount

    process

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    Data Stores data at rest represents holding areas for

    collection of data, processesadd or retrieve data fromthese stores

    name using a noun (do notuse file)

    only processes are connectedto data stores

    show net flow of databetween data store and

    process. For instance, whenaccess a DBMS, show onlythe result flow, not therequest

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    Data Flow Diagram Donts

    1. BLACK HOLES

    2. MIRACLES

    4. Leave things UNLABELED

    (corollary: labels should have meaning)

    5. Data stores that are SOURCES6. Data flows that are UNASSOCIATED with

    a PROCESS

    7. Expect your diagram to be perfect thefirst time!

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    Data Flow Diagram Donts

    processstuff

    1. Black Hole

    processstuff

    2. Its a Miracle

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    Data Flow Diagram Donts

    4. Leave Things Unlabeled

    Corollary: Labels Should

    Have Meaning

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    Data Flow Diagram Donts

    data store 5. Miracle datasource

    data store 5. Black hole datasource

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    Data Flow Diagram Donts

    6. Data Flows Unassociated With a Process

    entity toentitydata store

    to entity -or reverse

    data storeto datastore

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    Diagramming A System

    multiple DFDs are required to represent a system

    DFDs are created at increasing levels of detail

    Advantages of DFD

    Represents data flows

    Provides good system documentation.

    Process bubbles can be hierarchically decomposed into sub-DFDs; the inputs

    and outputs must match at all levels of decomposition, so the design has

    validation.

    Easily understand after a brief orientation.

    Disadvantages

    Weak in its display of input and output details.

    Major problem is large number of iterations that are require forcomplete solution.

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    Level n: subprocesses

    3.1

    request

    res.

    3.2.

    log 3.3.

    track

    booking

    system

    Request id.Request id.

    timestamps booking

    confirmation

    bookingrequest

    preferences

    Level n: subprocesses

    3.1

    request

    res.

    3.2.

    log 3.3.

    track

    booking

    system

    Request id.Request id.

    timestamps booking

    confirmation

    booking

    requestpreferences

    Level 2: subprocesses

    3.1

    request

    reser-

    vations

    3.2.

    confirm

    booking

    3.3.

    collate

    confirm-

    ations

    booking

    systemReq id.

    Req id.

    seat

    data

    booking

    confirmation

    booking

    request

    seating prefs

    Hierarchies of DFDs

    ticket

    system

    booking

    system

    customer

    ticketsbooking

    confirmation

    booking

    request

    customer

    query

    Level 0: Context Diagram

    check

    schedule

    issue

    tickets

    Proposed

    itinerary

    booked

    itinerary

    booking request

    1.

    determine

    form of

    travel

    2.

    check

    schedule

    3.

    reserve

    seats4.

    issue tickets

    Timetables

    Fare tables

    customer

    booking

    systemcustomer

    travel

    request

    customer

    query

    schedule

    proposed

    itinerary

    proposeditinerary

    booked

    itinerary

    fares

    tickets

    booking

    confirmation

    booking

    request

    Level 1: Whole System

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    Data dictionary

    It is a structured repository ofdata about

    data. Although we give descriptive names to

    the data flows, process and data stores in a

    DFD, it does not give the details. Hence tokeep the details of the contents of data flows,

    process and data stores we also require a Data

    Dictionary.It clearly documents the list ofcontents of all data flows, processes and data

    stores.

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    The three classes to be defined in data dictionaryare:

    Data Elements: - this is the smallest unit of data.

    Further decomposition is not possible. Data Structure: - this is a group of Data Elements

    which together form as a unit in a data structure.For ex BOOK DETAIL is a data structure

    consisting ofdata elementsauthor name , title ,publisher name ,quantity etc.

    Data flows and Data stores: - data flows are datastructures in motion.

    Data Stores are data structures at rest or in store .(Data structures in a data store - a data store is alocation where data structures are temporarilylocated.)

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    Logical data description hierarchy

    Smallest unit of data

    Group of data element

    Groups of data

    structures

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    Describing data elements The description of data elements should include the

    Name , description & an alias(synonym)

    Ex- AUTHOR NAME:

    -first

    -middle

    -last-alias

    2. description should be summary of data element

    We may include whether or not the data element has:.

    3. A different name or alias for ex:purchase order mayexist as P.O or PUR.ORDER.

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    Describing data elements..(cont..)4. Usage characterstics ,such as range of value , value is a

    code that represent a meaning

    Here 2 types of data elements:-a)Those that take a value within a range ex:-a check

    amount between rs.1 and 10,000rs is called continuousvalue.

    b)Those tat have a specific value:-for ex-department in afirm may be coded 100(accounting),110(personnel)etc.

    In data dictionary it is describe as follows: 100 meansAccountingdepartment

    101 means accounts receivable section

    In either type values are coded that represent a meaning.

    5.Control information such as the source , date oforigin,users,or access authorization.

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    Describing data structure

    Data structure are group of data element ex-

    BOOK DETAIL

    We describe data structure by specifying the

    name of each data structure and the elements

    it represents. Some elements are mandatory where else

    some are optional.

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    illustrate it with example BOOK DETAILS

    mandatory optional

    Data structure BOOK-DETAILS

    Data elements AUTHOR NAME X

    TITLE OF BOOK X

    EDITION X

    ISBN(international

    standard book number)

    X

    PUBLISHER NAME X

    QUANTITY ORDERED X

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    Complete DFD ,showing

    accounts receivable routineof book ordering system

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    Describing data flows and data stores The contents of a data flow may be described by the

    name of the data structures that passes along it(label

    name of data flow is the name of content it carry withit).

    EX-

    BOOK DETAILS expresses the content of the data flow that leads toprocess 4

    Additionally we may specify source of data flow , the destination and thevolume.

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    Using BOOK ORDER example data flow may be

    describe as follows:-

    Data flow comments

    BOOK-DETAILS From new comb hall book store(SOURCE)

    AUTHOR-NAME

    TITLE OF BOOK

    EDITION Recent edition required

    QUANTITY Minimum 40 copies

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    Data store

    Data store may be describe by the data

    structures found in it and the data flows thatfeed it or are extracted from it.

    For example: the data store BOOKSTORE-ORDER

    is described by the following contents:Comments

    ORDER

    ORDER-NUMBER Data flow/data structure feeding data store

    CUSTOMER-DETAILS Content of data store

    BOOK-DETAIL Data flow/data structure extracted from

    data store

    Describing processes

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    Describing processes Describing process is a logical description.

    We want to specify input and output for the

    process and summarize the logic of the system.

    in figure process EDIT-ORDER can be described

    as shown:-

    1.Name of process Edit order is O.K.

    2.Short description Verify and decide whether customer

    credit is OK for authorising shipment

    3.input logic Output

    ORDER Look up customer

    payment record

    If new bookstore

    ,clear credit rating

    Credit OK,no

    balance remainder

    Customer payment

    file

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    Decision Tree What is it?

    A structure that can be used to divide up a large

    collection of records into successively smaller sets of

    records by applying a sequence of simple decision rules

    A decision tree model consists of a set of rules fordividing a large heterogeneous population into smaller,

    more homogeneous groups with respect to a particular

    target variable

    Decision tree has many branches as there are logical

    alternatives

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    Example - Grades

    Percent >= 90%?

    Yes Grade = A

    No 89% >= Percent >= 80%?

    Yes Grade = B

    No 79% >= Percent >= 70%?

    Yes Grade = C

    No Etc...

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    Decision Tree Template Drawn top-to-bottom or left-

    to-right

    Top (or left-most) node =

    Root Node Descendent node(s) = Child

    Node(s)

    Bottom (or right-most)

    node(s) = Leaf Node(s)

    Unique path from root to

    each leaf = Rule

    Root

    Child Child Leaf

    LeafChild

    Leaf

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    Decision Tree Advantages

    1. Easy to understand,construct and update

    2. Map nicely to a set of business rules

    3. Applied to real problems

    4. Make no prior assumptions about the data

    5. Able to process both numerical and

    categorical data

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    Decision Tree Disadvantages

    1. Output attribute must be categorical

    2. Limited to one output attribute

    3. Trees created from numeric datasets can be

    complex

    4. Lack of information in its format to tell us

    what other combination of condition to test.

    Decision tree -Example

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    Decision tree -Example

    discountSize oforder

    Type ofcustomer

    Discountpolicy

    Book store

    6 or more 25%

    Less that 6 nil

    Libraries or

    individual

    50 or more

    20-49

    10%

    6-19

    5%

    15%

    Less than 6nil

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    Structured English Structured English borrows heavily from

    structured programming . It uses logical construction to carryout instruction

    for action.

    Decisions are made through IF THEN ELSE and SOstatement.

    In this tool ,the logic of the processes of thesystem is expressed by using the capitalized

    keywords Sentence should also be clear ,concise, and

    precise in wording and meaning

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    Example of structured english(compute discount)

    COMPUTE DISCOUNT

    Add up the number of copies per book title

    IF order is from book store

    and IF order is for 6 copies or more per book title

    THEN :Discount is 25%.

    ELSE (order is for fewer than 6 copies per book title)SO:no discount is allowed.

    Else (order is from libraries or individual customers)

    So-IF order is for 50 copies or more per book titlediscount is 15%....

    ELSE IF

    ELSE IF.

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    Decision tables Decision table is a table of contingencies for

    defining a problem and the action to be taken

    It is a single representation of the relationshipbetween condition and actions.

    Decision table consist of two parts: stub andentry.

    The stub part is divided into an upper quadrantcalled the condition stub and the lower quadrantcalled action stub

    The entry part is also divided into an upperquadrant called the condition entry and the lowerquadrant called action entry

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    System performance and its phase

    A system required performance is defined by

    describing its output in a user acceptable

    format and at a higher level of detail.

    This involve three steps:-

    1.Statement of constraints

    2.Identification of specific system objectives

    3.Description of outputs.

    1 Statements of constraints

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    1.Statements of constraints Constraints are the factors that limits the solution of the problem

    Constraints are factors that lie outside - but have a direct impact on - thesystem design effort. Constraints may be:

    Laws and regulations - for example, State, Federal (central or national ), orindependent regulatory agencies may require specific design approachesfor new systems or mandate specific changes to existing systems.

    Technological - for example, new equipment must be compatible withexisting equipment;

    Financial - for example, proposed development and implementation costsmust remain within a specified budget.

    Operational - for example, space, staffing levels, skill mix, and capabilityand competence factors may limit system options.

    However, system constraints should not be used to artificially restrict ordirect the system. The objective is to plan the best system for the problemto be solved, not to fabricate and impose constraints that limit the systemalternatives.

    As with objectives, system constraints are critical to ensuing phases of thefeasibility study. They can affect system requirements and theacceptability of alternatives.

    2.Identification of specific system objectives

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    2.Identification of specific system objectives

    Analyst identify the systems specific performance objectives.

    Specific objective are derived from initial investigation and system benefitsare then translated into measurable objective.

    In example of safe deposit billing system ,the candidate systems benefitsare :-

    a. Improved collection schedule:- collection is improved be billing 30 daysin advance of the box renewal date and one more notice is sent within 2weeks

    b. Cost reduction:-online billing require less labor and work hour.

    c. Physical space reduction:-replace one computer in place of 4 desks.d. improved customer service:-place box rental info online. Provide forms

    online reduce waiting time.

    These information is used as a basis for preparing specific objective forcandidate system:-

    To establish a billing system with six-five days cycles per month

    To mail customer a reminder two week after the initial statement for boxrenewal

    To examine the availability of boxes by size, rental fees and location

    D i ti f t t

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    Description of output

    Final step in system performance definition is

    Describing the output required by the user An actual format and content of report

    Media used , frequency , size and number of

    copies required are prepared at this point. Specifying exactly what the output will look

    like leads to an estimate of computer storagerequirement that form the basis for file

    design. The analyst is now evaluate feasibility of

    candidate system to produce these outputs

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    Kendall & Kendall Copyright 2002 by Prentice Hall, Inc. 3-48

    Feasibility

    A feasibility study assesses the operational,

    technical, and economic merits of the

    proposed project

    There are three types of feasibility:

    Technical feasibility

    Economic feasibility

    Operational feasibility

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    Kendall & Kendall Copyright 2002 by Prentice Hall, Inc. 3-49

    Technical Feasibility

    Technical feasibility assesses whether the

    current technical resources are sufficient for

    the new system

    If they are not available, can they be upgraded

    to provide the level of technology necessary

    for the new system

    T h i l F ibili

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    Technical Feasibility:

    Can We Build It?

    Users and analysts familiarity with the

    business application area

    Familiarity with technology

    Have we used it before? How new is it?

    Project size

    Number of people, time, and features

    Compatibility with existing systems

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    2 - 51

    Can we build it? Feasibility

    Technical

    Do we have the capability to develop the system?

    Does the necessary tech exist? Can it be acquired?

    Does the proposed equipment have the right capacity for the

    data?

    Does the propose have the right: response time, interface,

    Can the system be expanded?

    Are the accuracy, reliability, ease of use, ease of access, security

    ok?

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    Kendall & Kendall Copyright 2002 by Prentice Hall, Inc. 3-52

    Economic Feasibility

    Economic feasibility determines whether the

    time and money are available to develop the

    system

    Includes the purchase of

    New equipment

    Hardware

    Software

    E i F ibilit

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    Economic Feasibility

    ShouldWe Build It?

    Identify costs and benefits

    Assign values to costs and benefits

    Determine cash flow

    Assess financial viability

    Net present value

    Return on investment

    Break even point

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    2 - 54

    Should we build it?

    Economic

    Is there an economic payoff?

    include cost to conduct full systems integration

    cost of hardware/software/ other

    benefits in terms of reduced costs

    opportunity costs

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    Kendall & Kendall Copyright 2002 by Prentice Hall, Inc. 3-55

    Operational Feasibility

    Operational feasibility determines if the

    human resources are available to operate the

    system once it has been installed

    Users that do not want a new system may

    prevent it from becoming operationally

    feasible

    Feasibility study

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    Feasibility study

    It is the measure and the study of how beneficial the

    development of the system would be to theorganization. This is known as feasibility study. Themeasurement of feasibility is known as feasibility study.There are number of aspects which are taken into

    consideration while the feasibility studies. Firstly theproject team is formed then with the help offlowcharts and other forms of documentations thecharacteristics of the system are identified. The systemis evaluated and measured against the expectedperformance. A suitable candidate is selected for thejob and a final report is made and presented to themanagement for further evaluations.

    Steps in feasibility analysis

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    Steps in feasibility analysisThere are number of steps in the feasibility study, some of them are:-

    1) Forming a team for the specific project and appointing a suitable leader.

    2) Preparing layouts and flowcharts of the system :-charts bring up

    importance of input , output, and data flow

    3) Enumerate(list, detail ,catalog) the candidate systems:- consideration of

    hardware that can handle the total system requirements. There are large

    number of computers with different processing sizes, main memory

    capabilities and software support . The project team may contact vendorsfor information on processing capabilities of the system available.

    4 ) Identify and describe the characteristics of the candidate systems:-from

    the candidate system considered(number of candidate systems)the team

    begins to evaluate to reduce them into manageable number determine

    what each candidate system can or cannot do.

    St i f ibilit l i ( t )

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    Steps in feasibility analysis(cont.)

    5) Determining the performance and cost effectiveness of eachcandidate system:-each candidate system performance is evaluatedagainst the system performance requirements set prior to

    feasibility study. there has to be as close a match as practicable.Costs are easily determined when benefits of system are tangible and

    measurable.

    Evaluation criteria IBM PC HP 100 APPLE III

    Performance

    Response time Very good Very good Very good

    User friendly excellent Very good Very good

    Costs

    System

    development

    good Very good Good

    User training excellent good good

    6) Reviewing the performance of the system and performing the cost data:-in somecases performance and cost data for each candidate system show which system is

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    cases ,performance and cost data for each candidate system show which system isbest choice. This outcome terminate the feasibility study. but some situation arenot clear cut so the next step is to weight the importance of each criterion byapplying the rating figure. Then the candidate with high score is selected.

    The procedure for weighting candidate system is simple

    1. Assign the weighting factor to each evaluating criteria based on the criteriaeffect on the success of the system

    2. Assign a quantitative rating to each criterions qualitative rating for ex(good,fair)may be assign values (1,2,3,4,5)

    3. Multiply the weight assign to each criterion by the relative rating to determinethe score

    4. Sum the score column of each candidate.

    Evaluation

    criterion

    Weighting

    factor

    IBM PC HP 100 APPLE III

    Rating score Rating score Rating score

    performance

    Response time 2 4 8 3 6 4 8

    User friendly 3 5 15 4 12 4 12

    Costs

    System

    development

    5 3 15 2 10 4 20

    User friendly 3 5 15 3 6 5 25

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    7) Selecting the best candidate for the system

    8)preparing the final report for the management

    Feasibility report

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    Feasibility reportIt is a formal document for management brief enough and sufficiently

    non technical to be understandable. No standard format forpreparing feasibility report. The report contain the following

    section:- 1. Abstract : shows general findings .

    2. Summary

    3. Contents list (specifies various parts of report)

    4. Glossary (dictionary,vocabulory,wordbook)

    5. Introduction or overview (purpose and scope)

    6. Discussion (the main body providing the evidence /outline themethod used in present system also provide objective ,generalprocedure, output, report ,cost and benefits use appendixes ifnecessary)

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    Feasibility report(cont..)

    7. economic justification details: point by point costcomparisons and preliminary cost estimates fordevelopment and operation of candidate system.

    8. Recommendations (flowing naturally from theconclusions) and Conclusions (flowing naturally from thediscussion)

    9. References (if necessary)

    10. Appendixes (document all data and memos and datacompiled during the investigation. They are placed at theend for reference.)