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Synopsis Checks the type rules for a source language.
Description A type system is a set of rules that defines how values, variables and functions may be used in a given programming languages.

A type checker, checks that these rules are enforced. The moment that type checking can be done differs per type system, but two extremes exist:
  • Static type checking: all checking is done before the program is executed.
  • Dynamic type checking: all checking is done during execution of the program.
  • Hybrid type checking: when possible checks are done before execution, the remaining checks are done during execution.
These different styles of type checking have different trade offs:
  • Static typechecking:
    • Pro: most errors are found before execution.
    • Con: more type declarations have to be written by the programmer and in some situations the type systems limits what can be expressed.
  • Dynamic checking:
    • Pro: most flexible and expressive.
    • Con: errors can only be found during execution.
  • Hybrid type checking:
    • Pro: a reasonable compromise.
    • Con not as safe as full static typechecking.
Examples
  • If in Java a variable has been declared as bool it cannot be added to an integer.
  • If in Java a method has three formal parameters, it cannot be called with four actual parameters.
  • In Python, a variable can first get a string value assigned and later on an integer value.
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