2.3 Robust Programs Joshua Guerrero

2.3 Robust Programs Joshua Guerrero

1. Data Validation

   • Test Data
     • Normal
       • Any value within range e.g. 7, 8, 9, 10,11
     • Extreme
       • Starting and end point of range e.g. 7, 11
     • Eroneous
       • Beyond Range (not sensible) e.g. 6, 1.5
     • Data which has been specifically identified for use in tests
     • Invalid
       • Wrong type of data inputted e.g. L P Q
     • Null Value
       • Nothing is entered
   • Types of Validation Techniques
     • Verification
       • e.g. Dual Entry Passwords (typing the password in twice)
       • Makes data accurate
     • Presence Check (*)
       • e.g. Needing an age or gender
       • Required fields which need inputted data
   • Doesn't make data inputs accurate
   • Checks that inputted data is sensible and reasonable
   • Range Check
     • Checks that the value falls in the specified range
   • Spell Check
     • Looks up spellings in the dictionary
   • Range Check
     • Checks that the value falls in the specified range
   • Presence Check
     • Checks if data has been entered into a field
   • Format Check
     • Checks inputs are in the right format
   • Length Check
     • Checks it isn't too long/short

2. Authentication

   • The plan when entering a password and username
     • Security Procedures
       • How many entries of password until locking

3. System Life Cycle

   • Background Investigation
     • Analysis
       • Design
         • Implementation
           • Iterative Testing takes place
           • Testing
             • Final Testing occurs
             • Evaluation
         • Test Plan is created here

4. Testing

   • Final/Terminal
     • Tests/checks done at the end
       • Tests you've identified can be done by:
         • Audience
           • Uses/Views the code
         • User
           • Maintains the System
         • Client
           • Person who provides the reqiuirement
   • Iterative
     • Test as you go along
     • Done line by line or section by section
   • Three types of coding errors
     • Logic
       • True or False functions
     • Syntax
       • Grammar Errors in coding
     • Runtime
       • Computer runs out of memory/no space on RAM (nothing wrong with coding)

5. Indents

   • Organisation of Coding
     • Makes it easier for people to look and read the code
       • e.g. Spaces in between code

6. Comments

   • Comments done by users left in the coding to help other people to maintain the system

7. Data Sanitisation

   • Makes sure the inputted data can be processed (changing numbers into integers)