Algebraic Approaches to Program Semantics by Ernest G. Manes

By Ernest G. Manes

In the Thirties, mathematical logicians studied the idea of "effective comput­ability" utilizing such notions as recursive services, A-calculus, and Turing machines. The Nineteen Forties observed the development of the 1st digital pcs, and the subsequent two decades observed the evolution of higher-level programming languages during which courses might be written in a handy model self sustaining (thanks to compilers and interpreters) of the structure of any particular laptop. the improvement of such languages led in flip to the overall research of questions of syntax, structuring strings of symbols that may count number as felony courses, and semantics, making a choice on the "meaning" of a application, for instance, because the functionality it computes in remodeling enter info to output effects. a huge method of semantics, pioneered through Floyd, Hoare, and Wirth, is termed statement semantics: given a specification of which assertions (preconditions) on enter facts should still make sure that the consequences fulfill wanted assertions (postconditions) on output facts, one seeks a logical evidence that this system satisfies its specification. another strategy, pioneered by way of Scott and Strachey, is named denotational semantics: it deals algebraic innovations for characterizing the denotation of (i. e. , the functionality computed via) a program-the homes of this system can then be checked by means of direct comparability of the denotation with the specification. This publication is an advent to denotational semantics. extra in particular, we introduce the reader to 2 ways to denotational semantics: the order semantics of Scott and Strachey and our personal partly additive semantics.

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The dual or opposite category of C is the category cop defined as follows: ob(CO P) = ob(C), cop (X, Y) = c(y, X). Taking C as the "primary" category whose arrows we write in the normal way f: X -. Y, we write the same morphism in cop as f: Y ---< X. If f E COP (X, Y) and g E COP(Y, Z) their composition g * f in cop (X, Z) is obtained by taking the composition fog of g E C(Z, Y) and f E C( Y, X) in C. X~ Y~Z =X~Z =X~ZinCop, where Z~Y~X=Z~XinC. Axioms a, b, and c for cop follow easily from their correspondents in C.

Verify that this is a category. 4. Let C be any category and let X be any object at C. Define a category D as follows. A D-object is a C-morphism ofform f: A ...... X. A D-morphism from f: A ...... X to fl: Al ...... X is a C-morphism g: A ...... Al such that the following diagram commutes: Define composition and identity morphisms as in C. Verify that D is a category. It is called the category of C-objects over X. 5. Let C be any category. Let be C-morphisms. Define a category D as follows. A D-object is (S, t, u) where t: S ......

19-32, and C. A. R. Hoare "An axiomatic basis for computer programming," Communications of the Association for Computing Machinery, 12, 1969, pp. 576-580, 583. A textbook account is given by S. Alagic and M. A. Arbib, The Design of Well-Structured and Correct Programs, Springer-Verlag, 1977. Backus' Turing Award Lecture is published in Communications of the Association for Computing Machinery, 21,1978, pp. 613-641. For computability theory based on a Pascal fragment see A. J. Kfoury, R. N. Moll, and M.

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