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Decision Procedures for Algebraic Data Types with Abstractions

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We describe a family of decision procedures that extend the decision procedure for quantifier-free constraints on recursive algebraic data types (term algebras) to support recursive abstraction functions. Our abstraction functions are catamorphisms (term algebra homomorphisms) mapping algebraic data type values into values in other decidable theories (e.g. sets, multisets, lists, integers, booleans). Each instance of our decision procedure family is sound; we identify a widely applicable many-to-one condition on abstraction functions that implies the completeness. Complete instances of our decision procedure include the following correctness statements: 1) a functional data structure implementation satisfies a recursively specified invariant, 2) such data structure conforms to a contract given in terms of sets, multisets, lists, sizes, or heights, 3) a transformation of a formula (or lambda term) abstract syntax tree changes the set of free variables in the specified way.


Philippe Suter, Mirco Dotta, and Viktor Kuncak. Decision procedures for algebraic data types with abstractions. In ACM SIGACT-SIGPLAN Symposium on Principles of Programming Languages (POPL), 2010.

BibTex Entry

  author = {Philippe Suter and Mirco Dotta and Viktor Kuncak},
  title = {Decision Procedures for Algebraic Data Types with Abstractions},
  year = 2010,
  booktitle = {ACM SIGACT-SIGPLAN Symposium on Principles of Programming Languages (POPL)},
  localurl = {}

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