Extent to which a programming language discourages type errors
Type systems
General concepts
Type safety
Strong vs. weak typing
Major categories
Static vs. dynamic
Manifest vs. inferred
Nominal vs. structural
Duck typing
Minor categories
Abstract
Dependent
Flow-sensitive
Gradual
Intersection
Latent
Refinement
Substructural
Unique
Session
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In computer science, type safety and type soundness are the extent to which a programming language discourages or prevents type errors. Type safety is sometimes alternatively considered to be a property of facilities of a computer language; that is, some facilities are type-safe and their usage will not result in type errors, while other facilities in the same language may be type-unsafe and a program using them may encounter type errors. The behaviors classified as type errors by a given programming language are usually those that result from attempts to perform operations on values that are not of the appropriate data type, e.g., adding a string to an integer when there's no definition on how to handle this case. This classification is partly based on opinion.
Type enforcement can be static, catching potential errors at compile time, or dynamic, associating type information with values at run-time and consulting them as needed to detect imminent errors, or a combination of both.[1] Dynamic type enforcement often allows programs to run that would be invalid under static enforcement.
In the context of static (compile-time) type systems, type safety usually involves (among other things) a guarantee that the eventual value of any expression will be a legitimate member of that expression's static type. The precise requirement is more subtle than this — see, for example, subtyping and polymorphism for complications.
^"What to know before debating type systems | Ovid [blogs.perl.org]". blogs.perl.org. Retrieved 2023-06-27.
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