Partial Evaluation of
Functional Logic Programs
María Alpuente, Moreno Falaschi and Germán Vidal
Languages that integrate functional and logic programming with a
complete operational semantics are based on narrowing, a
unification-based goal-solving mechanism which subsumes the reduction
principle of functional languages and the resolution principle of
logic languages. In this article, we present a partial evaluation scheme
for functional logic languages based on an automatic unfolding algorithm
which builds narrowing trees. The method is formalized within
the theoretical framework established by Lloyd and Shepherdson for the
partial deduction of logic programs, which we have generalized for dealing
with functional computations.
A generic specialization algorithm is proposed which does not
depend on the eager or lazy nature of the narrower being used.
To the best of our knowledge, this is the first generic
algorithm for the specialization of functional logic programs.
We study the semantic properties of the transformation and the conditions
under which the technique terminates, is sound and complete, and is also
generally applicable to a wide class of programs.
We also discuss the relation to work on partial
evaluation in functional programming, term rewriting systems, and
Finally, we present some experimental results with an implementation
of the algorithm which show in practice that the narrowing-driven partial
evaluator effectively combines the propagation of partial data
structures (by means of logical variables and unification)
with better opportunities for optimization (thanks to the
Key Words and Phrases
Integration of functional and logic programming, narrowing strategies,
partial evaluation, conditional term rewriting systems.