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The systems life cycle
         By Odaly Fernandez
Stages of the systems life
cycle
 What   is a systems life cycle?

                     Analysis

                                           Design

  Evaluation

                                           Development and testing


     Documentation
                                Implementation
Scenario
The company called Biashara Street Building Supplies in Nairobi,
Kenya, buys bricks, cement, gravel, sand and roof tiles from big
companies and then sells them in smaller quantities to local house
builders.
The company is run by two directors called Peter and Irene. It employs
two secretaries, three sales people and two truck drivers.
It has a computer, but this is mainly used for creating word-processed
letters and sending emails to customers. Its only other use is to keep
records of the company’s customers on a database.
One secretary, Josephine, deals with the workers’ personal
information and is also in charge of keeping customer details.
The other secretary, Mary, keeps information about the hours worked
by the workers and also processes orders from customers.
Irene is in charge of the paying of the workers.
Peter and Irene feel that they could make better use of their computer
system and need a systems analyst to look at how the computer is
used, and to advise them whether or not their business would improve
if they made increased use of the computer. They have invited Daniel
to perform this role.
Analysis
 Collecting information on how the existing
  system works
 Establishing its inputs, outputs and
  processing
 Recording information

 Identifying problems
Analysis
 Why   do we need the analysis stage?
    To identify suitable hardware and software for a
     new system
    To identify user and information requirements
Analysis – Collecting
information
 Examination of documents
 Questionnaires

 Interviews

 Observation
Analysis – Establishing the inputs, outputs
and processing in the existing system

 Example   1: payroll system
 Inputs: details of the workers

 Processing: calculation of the payrolls

 Output: payslips



 Example   2: orders system
Analysis – Recording information
about the current system
 Data   flow diagram.
                       Orders System
                      Context Diagram

                    invoice                invoice
   Customers                                            Suppliers
                                 Order
                              processing
           orders               system
                                                     orders
Analysis – Recording information
  about the current system
                     orders

     Customers                                                 Suppliers
                                                                              supply
                              Process order                                   orders
              rejected
                                                         receipts
              orders

                   order details
receipts
                                              Shipping              Order supplies
                  order          Orders       details
                  details
  Issue receipt
                            updated product     Ship goods
                            record

                              Inventory
Analysis – Results

 Identifying suitable hardware and software for
  a new system
 Identifying the user and information
  requirements
Activity
 Answer   question 1, page 76.
Design
 The  inputs to the system
 The outputs from the system

 The files and/or databases needed to store
  the data
 The processing required to produce the
  outputs
 Any validation checks that will be needed

 The data needed to test the system
Design - Inputs
 Designing  data
 collection forms
Design
Inputs
A well designed
data collection
form
Design - Inputs
 Screen   layouts
Design - Inputs
 Screen   layouts
Design - Outputs
 Designing   report layouts
Design - Outputs
 Designing   screen displays




                    List of records
Design – data/file structures
 The files and/or databases needed to store
 the data. Example: for the payroll system we
 need the master file and the transaction file
Design – data/file structures
 Systems           flowchart
                               Payroll
                            transaction
                                file



    Error reports
                          Vaidation
                                           Validated
                                          transaction
                                              file
                             Sort
       Sorted
    transaction
        file
                        Process payroll     Payroll
                                            master
                                             file




                          Management       Updated
      Payslips
                            reports         master
                                             file
Design – data/file structures
 The  master file would have the following
 attributes:
    Field names
    Field types
    Field lengths
    Validation rules
    Field descriptions
    Selection of key field
Design - Validation
A  validation routine checks that input data is
  sensible and valid before processing.
  However validation rules do not guarantee
  that the data typed in is correct.
 Range check. Examples:
     A secondary school student is likely to be aged
      between 11 and 16. The range check for the field
      age would be >=11 and <=16.
     The maximum marks for AS students is 200. So,
      the range check would be…
Design - Validation
 Length check. Checks the data is not too
 short or too long. Examples:
    Telephone numbers in Spain are 9 digits long. So,
     the length check validates that no more and no
     less than 9 digits are entered.
    A NIE in Spain has this format X1234567R. The
     length check would be…
Design - Validation
 Format check. Checks the data is in the right
 format. Example:
    The NIE in Spain has this format X1234567R.
     The format check would ensure that the first
     character is a letter, the next 7 characters are
     digits, and the 9th character is a letter.
Design - Validation
 Invalid   character check. Example:
     I have a password field, and I only want the
      following characters to be entered: a to z, A to Z,
      0 to 9, and nothing else. So, the characters: ?, >,
      *, etc. will be invalid characters and the “invalid
      character check” won’t accept them.
Design - Validation
 Check digit. Designed to capture human
 transcription errors. Example:
  ISBN. 13 digits, the last one is the check digit.
 This is an ISBN: abcdefghijklm
 m = 10 – {(1a + 3b + 1c + 3d + 1e + … + 3l) mod 10}
  Barcode

 This is an barcode: abcdefghijklm
 m = 10 – {(3a + 1b + 3c + 1d + 3e + … + 1l) mod 10}
Design – Other ways of reducing
errors when inputting data
 Coding   data. Examples:
    Instead of typing in the word “Female” in a field
     Gender, we could type in “F”.
    Instead of “True” or “False”, type in “T” or “F”
Design – Specifying the
required hardware

 If there is a heavy volume of data then the
  systems analyst would recommend a laser
  printer, and not an inkjet printer.
 If the systems analyst determines that the
  articles should be bar-coded, then it is
  appropriate to use a bar code reader.
Design – Specifying the
required software
 Off-the-shelf software. Which is already
  written and available.
 Purpose-built software. Which has to be
  specially written to solve the problem.
Design – Specifying the
required software
   Off-the-shelf software
       Advantages:
         Cheaper as it is mass produced
         Available straight away
         Testing rigorously carried out by the developers
         Helplines with operators who have had to deal with a wide
          range of problems
       Disadvantages:
         May be difficult to adapt to the particular use
         May have several distracting extra features unsuitable for
          the use
         May not necessarily match up with the existing system and
          software use
Design – Specifying the
required software
   Purpose-built software
       Advantages:
         Designed specifically for the task

         Does not have to be adapted for use

         Programmers can make any changes required

       Disadvantages:
         Costs more to pay programmers to write code specifically
          for the task
         Testing limited to the perception of use by the programmer

         Support limited to the team of programmers

         Can take a long time to develop
Activity
 Answer   question 2, page 76.
Development and testing
   Testing strategies.
        Produce a test plan using test data
Test      Test   Expected   Actual results     Comment
          data   results
Input     -1     Rejected   Error message      Abnormal data – the system
hours                                          works as expected
worked
          65     Accepted   Wages calculated   Extreme data – the system
(max.
                                               works as expected
hours
worked    0      Accepted   Wages calculated   Extreme data – the system
in a                        but result was 0   works as expected
week =
65)       40     Accepted   Wages calculated   Normal data – the system
                                               works as expected
          140    Rejected   Error message      Abnormal data – the system
                                               works as expected
          Abc    Rejected   Error message      Abnormal data – the system
                                               works as expected
Development and testing
 Using   live data.
    Compare the results of the new system with the
     results of the old system. Example: use the hours
     worked in past weeks, and compare the payslips
     with the ones the new system generates.
Development and testing
 Activity:
     Create a table called Student with the fields:
      idstudent, name, marks
     Produce a test plan for the marks of the students,
      taking into account that the minimum mark is 0
      and the maximum is 200.
     Produce a test plan for idstudent, where idstudent
      has 8 characters, the first and last character
      should be a letter, the rest of the characters are
      digits from 0 to 9.

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The systems life cycle

  • 1. The systems life cycle By Odaly Fernandez
  • 2. Stages of the systems life cycle  What is a systems life cycle? Analysis Design Evaluation Development and testing Documentation Implementation
  • 3. Scenario The company called Biashara Street Building Supplies in Nairobi, Kenya, buys bricks, cement, gravel, sand and roof tiles from big companies and then sells them in smaller quantities to local house builders. The company is run by two directors called Peter and Irene. It employs two secretaries, three sales people and two truck drivers. It has a computer, but this is mainly used for creating word-processed letters and sending emails to customers. Its only other use is to keep records of the company’s customers on a database. One secretary, Josephine, deals with the workers’ personal information and is also in charge of keeping customer details. The other secretary, Mary, keeps information about the hours worked by the workers and also processes orders from customers. Irene is in charge of the paying of the workers. Peter and Irene feel that they could make better use of their computer system and need a systems analyst to look at how the computer is used, and to advise them whether or not their business would improve if they made increased use of the computer. They have invited Daniel to perform this role.
  • 4. Analysis  Collecting information on how the existing system works  Establishing its inputs, outputs and processing  Recording information  Identifying problems
  • 5. Analysis  Why do we need the analysis stage?  To identify suitable hardware and software for a new system  To identify user and information requirements
  • 6. Analysis – Collecting information  Examination of documents  Questionnaires  Interviews  Observation
  • 7. Analysis – Establishing the inputs, outputs and processing in the existing system  Example 1: payroll system  Inputs: details of the workers  Processing: calculation of the payrolls  Output: payslips  Example 2: orders system
  • 8. Analysis – Recording information about the current system  Data flow diagram. Orders System Context Diagram invoice invoice Customers Suppliers Order processing orders system orders
  • 9. Analysis – Recording information about the current system orders Customers Suppliers supply Process order orders rejected receipts orders order details receipts Shipping Order supplies order Orders details details Issue receipt updated product Ship goods record Inventory
  • 10. Analysis – Results  Identifying suitable hardware and software for a new system  Identifying the user and information requirements
  • 11. Activity  Answer question 1, page 76.
  • 12. Design  The inputs to the system  The outputs from the system  The files and/or databases needed to store the data  The processing required to produce the outputs  Any validation checks that will be needed  The data needed to test the system
  • 13. Design - Inputs  Designing data collection forms
  • 15. Design - Inputs  Screen layouts
  • 16. Design - Inputs  Screen layouts
  • 17. Design - Outputs  Designing report layouts
  • 18. Design - Outputs  Designing screen displays List of records
  • 19. Design – data/file structures  The files and/or databases needed to store the data. Example: for the payroll system we need the master file and the transaction file
  • 20. Design – data/file structures  Systems flowchart Payroll transaction file Error reports Vaidation Validated transaction file Sort Sorted transaction file Process payroll Payroll master file Management Updated Payslips reports master file
  • 21. Design – data/file structures  The master file would have the following attributes:  Field names  Field types  Field lengths  Validation rules  Field descriptions  Selection of key field
  • 22. Design - Validation A validation routine checks that input data is sensible and valid before processing. However validation rules do not guarantee that the data typed in is correct.  Range check. Examples:  A secondary school student is likely to be aged between 11 and 16. The range check for the field age would be >=11 and <=16.  The maximum marks for AS students is 200. So, the range check would be…
  • 23. Design - Validation  Length check. Checks the data is not too short or too long. Examples:  Telephone numbers in Spain are 9 digits long. So, the length check validates that no more and no less than 9 digits are entered.  A NIE in Spain has this format X1234567R. The length check would be…
  • 24. Design - Validation  Format check. Checks the data is in the right format. Example:  The NIE in Spain has this format X1234567R. The format check would ensure that the first character is a letter, the next 7 characters are digits, and the 9th character is a letter.
  • 25. Design - Validation  Invalid character check. Example:  I have a password field, and I only want the following characters to be entered: a to z, A to Z, 0 to 9, and nothing else. So, the characters: ?, >, *, etc. will be invalid characters and the “invalid character check” won’t accept them.
  • 26. Design - Validation  Check digit. Designed to capture human transcription errors. Example:  ISBN. 13 digits, the last one is the check digit. This is an ISBN: abcdefghijklm m = 10 – {(1a + 3b + 1c + 3d + 1e + … + 3l) mod 10}  Barcode This is an barcode: abcdefghijklm m = 10 – {(3a + 1b + 3c + 1d + 3e + … + 1l) mod 10}
  • 27. Design – Other ways of reducing errors when inputting data  Coding data. Examples:  Instead of typing in the word “Female” in a field Gender, we could type in “F”.  Instead of “True” or “False”, type in “T” or “F”
  • 28. Design – Specifying the required hardware  If there is a heavy volume of data then the systems analyst would recommend a laser printer, and not an inkjet printer.  If the systems analyst determines that the articles should be bar-coded, then it is appropriate to use a bar code reader.
  • 29. Design – Specifying the required software  Off-the-shelf software. Which is already written and available.  Purpose-built software. Which has to be specially written to solve the problem.
  • 30. Design – Specifying the required software  Off-the-shelf software  Advantages:  Cheaper as it is mass produced  Available straight away  Testing rigorously carried out by the developers  Helplines with operators who have had to deal with a wide range of problems  Disadvantages:  May be difficult to adapt to the particular use  May have several distracting extra features unsuitable for the use  May not necessarily match up with the existing system and software use
  • 31. Design – Specifying the required software  Purpose-built software  Advantages:  Designed specifically for the task  Does not have to be adapted for use  Programmers can make any changes required  Disadvantages:  Costs more to pay programmers to write code specifically for the task  Testing limited to the perception of use by the programmer  Support limited to the team of programmers  Can take a long time to develop
  • 32. Activity  Answer question 2, page 76.
  • 33. Development and testing  Testing strategies.  Produce a test plan using test data Test Test Expected Actual results Comment data results Input -1 Rejected Error message Abnormal data – the system hours works as expected worked 65 Accepted Wages calculated Extreme data – the system (max. works as expected hours worked 0 Accepted Wages calculated Extreme data – the system in a but result was 0 works as expected week = 65) 40 Accepted Wages calculated Normal data – the system works as expected 140 Rejected Error message Abnormal data – the system works as expected Abc Rejected Error message Abnormal data – the system works as expected
  • 34. Development and testing  Using live data.  Compare the results of the new system with the results of the old system. Example: use the hours worked in past weeks, and compare the payslips with the ones the new system generates.
  • 35. Development and testing  Activity:  Create a table called Student with the fields: idstudent, name, marks  Produce a test plan for the marks of the students, taking into account that the minimum mark is 0 and the maximum is 200.  Produce a test plan for idstudent, where idstudent has 8 characters, the first and last character should be a letter, the rest of the characters are digits from 0 to 9.