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Rule Validation

Checking whether a record conforms to a set of format, range, type, or business rules.

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Checking whether a record conforms to a set of format, range, type, or business rules.

Rule validation is the process of confirming that a piece of data satisfies explicit constraints before it is accepted. Typical rule classes are: (a) format rules — the value matches a pattern like an email, phone number, or date; (b) range rules — the value falls within allowed minimum and maximum bounds; (c) type rules — the value is a number, string, or boolean as expected; (d) business rules — domain-specific invariants (e.g., the total of line items equals the invoice amount). A record is valid iff it passes every applicable rule; the error is the first rule it fails.

valid(record) ⇔ ∀ r ∈ rules : r(record) holds

  • Email format: '[email protected]' ✓; 'user@@example' ✗
  • Age range [0, 130]: 25 ✓; 200 ✗
  • Business rule: invoice total must equal sum of line items

How to recognize it

  • A record is presented with a set of stated rules or constraints
  • The task asks whether the record is valid, or which rule it violates
  • Rules may combine (all must pass) or be hierarchical (some required, some optional)

Common mistakes

  • Stopping at the first rule that passes instead of checking every applicable one
  • Confusing 'valid format' with 'correct value' (a well-formed email can still be wrong)
  • Ignoring case sensitivity, leading/trailing spaces, or locale-specific separators

Practice guidance

Error Checking

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