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Security case study for "AspectML: A Polymorphic Aspect-oriented Functional Programming Language" in ACM Transactions on Programming Languages & Systems

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This is the security case study for the paper AspectML: A Polymorphic Aspect-oriented Functional Programming Language by Daniel S. Dantas, David Walker, Geoffrey Washburn & Stephanie Weirich, published at ACM Transactions on Programming Languages & Systems

https://dl.acm.org/citation.cfm?id=1353448

This paper defines AspectML, a typed functional, aspect-oriented programming language. The main contribution of AspectML is the seamless integration of polymorphism, run-time type analysis and aspect-oriented programming language features. In particular, AspectML allows programmers to define type-safe polymorphic advice using pointcuts constructed from a collection of polymorphic join points.

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Security case study for "AspectML: A Polymorphic Aspect-oriented Functional Programming Language" in ACM Transactions on Programming Languages & Systems

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