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Minnesota Extensible Language Tools

Software development is a time-consuming and error-prone process that often results in unreliable and insecure software. At least part of the reason for these undesirable results is that large semantic gap between the programmer's high-level understanding of the problem and the relatively low-level programming language in which the problem solutions are encoded. Thus, programmers cannot "say what they mean" but must encode their ideas as programming idioms at a lower level of abstraction. This wastes time and is the source of many errors. A long range goal is to improve the software development process and the quality of the resulting software artifacts by reducing the semantic gap. Extensible languages provide a promising way to achieve this goal. An extensible language can easily be extended with the unique combination of domain-specific language features that raises the level of abstraction to that of the task at hand. The extended language provides the programmer with language constructs, optimizations, and static program analyses to significantly simplify the software development process.

Recent Publications

Aspects as Modular Language Extensions

Extensible programming languages and their compilers use highly modular specifications of languages and language extensions that allow a variety of different language feature sets to be easily imported into the programming environment by the programmer. Our model of extensible languages is based on higher-order attribute grammars and an extension called ``forwarding'' that mimics a simple rewriting process. It is designed so that no additional attribute definitions need to be written when combining a language with language extensions.

Universal Regular Path Queries

Given are a directed edge-labelled graph G with a distinguished node n0, and a regular expression P which may contain variables. We wish to compute all substitutions phi (of symbols for variables), together with all nodes n such that all paths n0 to n are in phi(P). We derive an algorithm for this problem using relational algebra, and show how it may be implemented in Prolog. The motivation for the problem derives from a declarative framework for specifying compiler optimisations.

Specification languages in algebraic compilers

Algebraic compilers provide a powerful and convenient mechanism for specifying language translators. With each source language operation one associates a computation for constructing its target language image; these associated computations, called derived operations, are expressed in terms of operations from the target language. Sometimes the target language is not powerful enough to specify the required translation and one may then need to extend the target language algebras with more computationally expressive operations or elements. A better solution is to package these

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