
This paper extends our earlier work on abstract data types by providing an algebraic treatment of parametrized data types (e.g., sets-of-(), stacks-of-(), etc.), as well as answering a number of questions on the power and limitations of algebraic specification techniques. In brief: we investigate the “hidden function” problem (the need to include operations in specifications which we want to be hidden from the user); we prove that conditional specifications are inherently more powerful than equational specifications; we show that parameterized specifications must contain “side conditions” (e.g., that finite-sets-of-d requires an equality predicate on d), and we compare the power of the algebraic approach taken here with the more categorical approach of Lehman and Smyth.
power of conditional axioms, Data structures, Specification and verification (program logics, model checking, etc.), algebraic specification, algebraic treatment of parameterization, correctness of specifications, hidden functions, abstract data types, toy-stack
power of conditional axioms, Data structures, Specification and verification (program logics, model checking, etc.), algebraic specification, algebraic treatment of parameterization, correctness of specifications, hidden functions, abstract data types, toy-stack
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