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Mapa mental

2.3 Producing Robust Programs

Jessica Phillips Inglés

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2.3 Producing Robust Programs

  1. Data Validation Techniques

    • Check Digit - The last one or two digits are used to check if the rest of the code is correct.
    • Format Check - Checks the data is in the right format.
    • Length Check - Check weather the code is too short/long enough.
    • Lookup Table - Looks up the acceptable values in the table.
    • Presence Check - Checks that the data has been entered into a field.
    • Range Check - Checks if the value falls in the specific range.
    • Spell Check - Looks up word in the dictionary.
  2. Types Of Errors

    • Syntax Error - An error in the rule of language/grammar.
    • Logic Error - The program is written do something other that what its intended.
    • Run Time Error - An error you can only spot when a program is running.
  3. Test Data

    • Valid - Data that is incorrect.
    • In Range - Maximum data that data could be entered too.
    • Out Of Range - Values higher or lower than the expected range.
    • Null Value - When all the data is left blank to test what happens.
    • Invalid - Incorrect values such as 'Malcolm' for an age range.

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Mapa Mental sobre 2.3 Producing Robust Programs, creado por Jessica Phillips el 28/02/2019.
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