2.3 Robust Programs

2.3 Robust Programs

1. Data Validation

   • Doesn't make data inputs accurate
   • Checks that inputted data is sensible and reasonable
   • Types of Validation Techniques
     • Range
       • Any value between x & y
     • Verification
       • Makes data accurate
       • e.g. Dual Entry Passwords (typing the password in twice)
     • Presence Check (*)
       • Required fields which need inputted data
       • e.g. Needing an age or gender
   • 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

2. Data Sanitisation

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

3. Authentication

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

4. Maintainablity

   • Maintaining System Coding
     • Updates for Coding

5. Comments

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

6. Indents

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

7. Testing

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