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Automatic Inductive Synthesis of Functional Programs
Automatic Inductive Synthesis of
Functional Programs
Nachum Dershowitz and Ely Pinchover
School of Computer Science
Tel Aviv University
Ramat Aviv, Tel Aviv 69978, Israel
{nachumd,elypinch}@tau.ac.il
Abstract. An automated system for the synthesis of functional pro-
grams, expressed as a convergent set of rewrite rules, is presented. De-
ductive and inductive rewriting techniques are combined to synthesize
a program from a formal specification. Deductive consequences of an
equational specification, and of equations expressing domain knowledge,
are produced by a completion-based inference engine. The novel compo-
nent of the system is its incorporation of inductive techniques to guess
program clauses, which are then subjected to verification. This paper
describes the heuristics that are employed for generalizing from a set of
deductive consequences to form new equations. The proof-by-consistency
method is then used to establish validity in the initial algebra of newly
suggested program rules. In the same fashion, induction is used to guess
lemmata needed in the proof and deduction is used to verify them. An ex-
perimental ML implementation, geared to programs dealing with natural
numbers and recursive data structures, has been written and is described.
The judicious combination of completion, heuristic generalization, and
inductive theorem proving allows it to derive provably correct programs
fully automatically.
1 Introduction
Rewriting [10, 23] is a very powerful method for dealing computationally with
equations. Oriented e
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