In computer science, algebraic semantics is a form of axiomatic semantics based on algebraic laws for describing and reasoning about program specifications in a formal manner.
The syntax of an algebraic specification is formulated in two steps: (1) defining a formal signature of data types and operation symbols, and (2) interpreting the signature through sets and functions.
The signature of an algebraic specification defines its formal syntax. The word "signature" is used like the concept of "key signature" in musical notation.
A signature consists of a set of data types, known as sorts, together with a family of sets, each set containing operation symbols (or simply symbols) that relate the sorts.
We use to denote the set of operation symbols relating the sorts to the sort .
For example, for the signature of integer stacks, we define two sorts, namely, and , and the following family of operation symbols:
where denotes the empty string.
An algebra interprets the sorts and operation symbols as sets and functions.
Each sort is interpreted as a set , which is called the carrier of of sort , and each symbol in is mapped to a function , which is called an operation of .
With respect to the signature of integer stacks, we interpret the sort as the set of integers, and interpret the sort as the set of integer stacks. We further interpret the family of operation symbols as the following functions:
Semantics refers to the meaning or behavior. An algebraic specification provides both the meaning and behavior of the object in question.
The semantics of an algebraic specifications is defined by axioms in the form of conditional equations.
With respect to the signature of integer stacks, we have the following axioms:
For any and ,
where "" indicates "not found".
The mathematical semantics (also known as denotational semantics) of a specification refers to its mathematical meaning.
The mathematical semantics of an algebraic specification is the class of all algebras that satisfy the specification.
In particular, the classic approach by Goguen et al.
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In programming language theory, semantics is the rigorous mathematical study of the meaning of programming languages. Semantics assigns computational meaning to valid strings in a programming language syntax. It is closely related to, and often crosses over with, the semantics of mathematical proofs. Semantics describes the processes a computer follows when executing a program in that specific language. This can be shown by describing the relationship between the input and output of a program, or an explanation of how the program will be executed on a certain platform, hence creating a model of computation.
In computer science, formal methods are mathematically rigorous techniques for the specification, development, analysis, and verification of software and hardware systems. The use of formal methods for software and hardware design is motivated by the expectation that, as in other engineering disciplines, performing appropriate mathematical analysis can contribute to the reliability and robustness of a design.
In computer science, denotational semantics (initially known as mathematical semantics or Scott–Strachey semantics) is an approach of formalizing the meanings of programming languages by constructing mathematical objects (called denotations) that describe the meanings of expressions from the languages. Other approaches providing formal semantics of programming languages include axiomatic semantics and operational semantics. Broadly speaking, denotational semantics is concerned with finding mathematical objects called domains that represent what programs do.
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