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Validation, Verification and Testing

  • 7 subtopics
  • 21 things to know
  • Component 1

What Validation, Verification and Testing covers

Validation, Verification and Testing is examined mainly in Component 1, Programming and System Development, with its subtopic on validating and verifying data in databases belonging to Component 2, Computer Architecture, Data, Communication and Applications. It covers validation and verification compared, types of validation check, implementing validation in an algorithm, verification techniques, validation and verification of data in databases, choosing test data and dry running, trace tables and identifying errors.

Where it is assessed

Component 1

Programming and System Development.

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The 7 subtopics

Each one has its own page.

What you need to know

Answer each one before you reveal it.

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Process

How does a parity bit work, and what can it not detect?

Key term

Distinguish a hash total from a control total.

Key term

What is meant by data validation?

Key term

What does a presence check test?

Key term

Write pseudo-code for a loop that keeps asking for an age until it lies between 0 and 120.

Key term

Where are validation rules best stored in a database application?

Key term

Why must test data be chosen deliberately rather than picked at random?

Key term

What is meant by dry running an algorithm?

Key term

What is meant by data verification?

Key term

What does a range check test?

Key term

Why is a post-conditioned loop a natural structure for validating input?

Key term

How does choosing a field data type act as validation?

Key term

What is normal test data?

Key term

What is a trace table?

Key term

Explain why validation cannot guarantee that data is accurate.

Key term

Distinguish between a range check and a limit check.

Key term

Explain the benefit of writing a validation check as a separate function.

Key term

Describe double entry verification.

Key term

What is an input mask?

Key term

What is boundary test data?

Key term

Why is a dry run particularly good at exposing logical errors?

Take Validation, Verification and Testing further

The same content, four other ways.

Commonly confused

Pairs that lose marks when they are blurred together.

  • Validation vs Verification

    Validation: asking whether the value is reasonable. Verification: asking whether it was copied correctly.

Questions from this topic

Each one with the model answer underneath.

  1. 1

    What is meant by data validation?

    Model answer

    Validation is an automatic check that data entered is sensible and of the expected form. A validation check cannot prove that the data is actually correct.

  2. 2

    What is meant by data verification?

    Model answer

    Verification is a check that data has been copied or transferred accurately from its source. The value itself may still be wrong on the original document.

  3. 3

    Explain why validation cannot guarantee that data is accurate.

    Model answer

    Validation only tests whether a value obeys a rule such as lying inside a range. A wrong date of birth inside the allowed range passes every check.

  4. 4

    A user types a surname into a field that expects a date. Which kind of check rejects the entry?

    Model answer

    A type check rejects the entry because letters are not a valid date value. The rejection happens before the data is written to the file.

  5. 5

    Give one situation where verification matters more than validation.

    Model answer

    Verification matters most when data is re-keyed from paper forms into a computer system. A typing slip produces a plausible value that passes every validation rule.

  6. 6

    Why are validation and verification normally used together?

    Model answer

    Validation traps values of the wrong form and verification traps values copied wrongly. Neither check on its own removes both classes of error.

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Validation, Verification and Testing revision questions

What does Validation, Verification and Testing cover in Eduqas A-Level Computer Science?
7 subtopics: validation and verification compared, types of validation check, implementing validation in an algorithm, verification techniques, validation and verification of data in databases, choosing test data and dry running, trace tables and identifying errors. Each one has its own page with questions and model answers.
How is Validation, Verification and Testing organised?
By the Eduqas A500QS specification, subtopic by subtopic, so it matches the order you are taught it in.

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