Abstract. Xtatic is a lightweight extension of C ♯ offering native support for statically typed XML processing. XML trees are built-in values in Xtatic, and static analysis of the trees manipulated by programs is part of the ordinary job of the typechecker. “Tree grep ” pattern matching is used to investigate and transform XML trees. Xtatic’s surface syntax and type system are tightly integrated with those of C ♯. Beneath the hood, however, an implementation of Xtatic must address a number of issues common to any language supporting a declarative style of XML processing (e.g., XQuery, XSLT, XDuce, CDuce, Xact, Xen, etc.). In particular, it must provide representations for XML tags, trees, and textual data that use memory efficiently, support efficient pattern matching, allow maximal sharing of common substructures, and permit separate compilation. We analyze these representation choices in detail and describe the solutions used by the Xtatic compiler. 1

We address a longstanding open problem of [10, 9], and present a general transformation that transforms any pointer based data structure to be confluently persistent. Such transformations for fully persistent data structures are given in [10], greatly improving the performance compared to the naive scheme of simply copying the inputs. Unlike fully persistent data structures, where both the naive scheme and the fully persistent scheme of [10] are feasible, we show that the naive scheme for confluently persistent data structures is itself infeasible (requires exponential space and time). Thus, prior to this paper there was no feasible method for implementing confluently persistent data structures at all. Our methods give an exponential reduction in space and time compared to the naive method, placing confluently persistent data structures in the realm of possibility.

Abstract not found

We present a Hoare logic for a call-by-value programming language equipped with recursive, higher-order functions, algebraic data types, and a polymorphic type system in the style of Hindley and Milner. It is the theoretical basis for a tool that extracts proof obligations out of programs annotated with logical assertions. These proof obligations, expressed in a typed, higher-order logic, are discharged using off-the-shelf automated or interactive theorem provers. Although the technical apparatus that we exploit is by now standard, its application to call-by-value functional programming languages appears to be new, and (we claim) deserves attention. As a sample application, we check the partial correctness of a balanced binary search tree implementation.