We introduce polymorphically typed logic programs, an integration of a polymorphic type system with logic programs. The first-order notion of predicates is extended to parametric predicates, which are parameterized by types. The type system accommodates both subtypes and parametric polymorphism. It unifies features of value-based and name-based approaches. The denotation of a typed logic program is given by its type completion, a transformation that incorporates explicit type conditions into a parametric logic program. The result of the transformation is a restricted form of a HiLog program. We give fixpoint semantics to our language (actually to full HiLog). We define a notion of well-typing, which relates type declarations for predicates in the program to an approximation of the denotation of the type completed program. We present a type-checking algorithm for verifying that a program is indeed well-typed. Finally we discuss some extensions to the type system.

INTERPRETATION LUNJIN LU LIX Ecole Polytechnique 91128 Palaiseau Cedex France Abstract In this paper, we first introduce a notion of polymorphic abstract interpretation that formalises a polymorphic analysis as a generalisation of possibly infinitely many monomorphic analyses in the sense that the results of the monomorphic analyses can be obtained as instances of that of the polymorphic analysis. We then present a polymorphic type analysis of logic programs in terms of an abstract domain for polymorphic descriptions of type information and two operators on the abstract domain, namely the least upper bound operator and the abstract unification operator. The abstract domain captures type information more precisely than other abstract domains for similar purposes. The abstract unification operator for the polymorphic type analysis is designed by lifting the abstract unification operator for a monomorphic type analysis in logic programs, which simplifies the proof of the safeness of the...

This paper presents an abstract domain and an abstract unification function for type analysis of logic programs with type definitions. Type information is inferred together with sharing and aliasing information. Aliasing information is used to improve the precision of type analysis. 1 Introduction Prolog is a type-free language. The programmer does not have to specify the types of variables, functions and predicates. This may make it simple to write simple programs. However, it also makes it difficult to debug programs because type errors cannot be detected by Prolog systems. A type error will manifest itself in the form of a wrong result or a missing result rather than an indication of a type violation. There have been many efforts to augment Prolog with type systems in the forms of type checking systems [2, 11, 27] and type analysis systems. Type analysis systems infer types from the text of a program. Some type analysis systems infer a type for the program and the type is meant to ...