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terms of some abstract machine, or a related collection of abstract machines (or automata) One of the recent formal models of this kind is Abstract State Machine (ASM) by Gurevich et al [43] Practical applicability of operational semantics is proved by Leroy [6] who applied it for formal speci cation and veri cation of a C compiler used in the industry However, operational semantics, which seems an adequate way of thinking for highly skilled computer scientists and system programmers as compiler writers, doesn t seem to be appropriate for most of application software developers who are thinking of their tasks in terms of the programming languages they use, or in terms of the mathematical models they implement in their programs, rather than in terms of any formally speci ed abstract machines of complicated architecture, far from their everyday tasks.

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So, this approach looks suitable for veri ed compilers but doesn t seem applicable for verifying compilers Denotational semantics approach is based on nontrivial mathematical ideas and foundation principles This approach considers a program to be a predicate transformer a kind of higher-order function, or functional, speaking in mathematical terms The classicists of denotational semantics are Scott, Strachey, and Donahue Its main idea is as follows: At any point of execution, the state of the program can be speci ed by the predicate P(x1, xn) where xi is the global variable of the program Since the program changes the state of its execution, it can be considered as a predicate transformer, that is, a higher-order function Denotational approach was popular among computer scientists in the 1970s 1980s, due to its generality But, in our opinion, its shortcoming is an overcomplicated mathematical model based on the use of higher-order functions.

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So, we don t think it is practical in the industry, and it will hardly be used for trustworthy compilers either verifying or veri ed Algebraic semantics approach originated in the 1970s, due to popularity of the concept of abstract data types, and due the need to build an adequate formal model for them From an algebraic viewpoint, a data type (abstract) is a multi-sorted algebra, a well-studied, though complicated, formal algebraic structure The multi-sorted algebra consists of the carrier S a nite number of sorts S1, Sn sets to be used as domains and ranges of the algebra s operations; the signature F a nite number of operations (or functions) F1, , Fm such that each Fi is a function from a Cartesian product of zero or more sorts Sj to some sort Sk from the carrier A function with zero arguments is a constant.

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The third component of the algebra is the nite set E of algebraic equates of the kind: t1 = t2 where each ti is an algebraic term comprised of compositions of calls of the operations Fj with domain variables and constants as arguments The set of equates E is the heart of the algebra, from a formal semantics model viewpoint, since it de nes the semantics of functions Fj in terms of their algebraic dependencies from each other For example, we can de ne the type List with traditional LISP-like operations: Cons (x, l) construct a list from the rst element x and another list l; Car (l) take the head element of the list l; Cdr (l) take the tail from the list l, the list l without its rst element In these terms, we can de ne the formula.

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