Unit 2.3

Unit 2.3

1. robust techniques

   • Authentication - Makes sure the user is who they say they are
   • Maintainability - Code must be maintainable. We can use comments and indentation to provide information to future users and programmers that may be required to maintain the code.
   • Comments - Help explain the code and its function making it easier to read and easier to identify errors.
   • Indentation - Used to help group together a function
   • Anticipating Misuse - predicting how someone could abuse the program and planning for these issues
   • Data Sanitisation - Cleaning up inputted data
   • Data Validation - Makes sure that data entered is acceptable
     • Digit check - checks the index/last two or three digits
     • Format Check - Checks inputs are in the right format
     • Length Check - Checks it isn't too long/short
     • Lookup Table - Looks up acceptable values in a table
     • Presence Check - Checks if data has been entered into a field
     • Range Check - Checks that they are in range
     • Spell Check - makes sure spellings are correct
   • Data Verification - Makes sure that data entered is accurate through either dual entry or double checking.

2. Data types

   • Normal - Data in the range
   • Extreme - Data lying on the edge of the range (Min/Max)
   • Erroneous - Data outside of the range
   • Null Value - Nothing is entered
   • Invalid - Wrong type of data inputted

3. system lifecycle

   • Background Investigation
     • Analysis
       • Design - Test Plan is created here
         • Implementation - Iterative Testing
           • Testing - Final Testing occurs
             • Evaluation - feedback on test

4. testing

   • Iterative Testing - Testing as you form the code
   • Final Testing - Carried out at the ending, when it's fully written
   • Syntax Errors - Mistakes in the way the code
   • Logic Errors - An error that makes the code run wrong
   • Bugs - Makes the program to run incorrectly