Titlebook: Generic Programming; IFIP TC2 / WG2.1 Wor Jeremy Gibbons,Johan Jeuring Book 2003 IFIP International Federation for Information Processing 2

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HAVOC

,Generic H?SKELL, Specifically,ypism offers a simple approach to defining generic functions which are applicable to types of all kinds. Here we explore a number of simple but significant extensions to Hinze’s ideas which make generic programming both more expressive and easier to use. We illustrate our ideas with examples.

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Making the Usage of STL Safe, development tools. Many of these problems are due to misuses of the STL components and algorithms that are syntactically correct but semantically flawed. We motivate the case for the use of static analysis to diagnose such problems and describe our approach to checking STL usage with an STL-aware s

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Static Data Structures,aspect (e.g., for loops with STL iterators) will not work with the other (Template Metaprogramming for the static side of C++) due to syntax differences in the way each is defined and used [11]. These incompatibilities complicate switching between dynamic and static implementations of a behavior. Th

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Adaptive Extensions of Object-Oriented Systems,ring task is adding a new function to the interface of a (sub-) system. To implement the new functionality, not only the interface has to be extended but several other classes of the (sub-) system. Performing this task manually is tedious and error-prone. In this paper a method is described that sim

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Robert M. Smith,Arthur E. Martellted on demand by the class loader. We include an extensive set of benchmarks, specifically developed to stress the use of generic types. The benchmarks show that the additional code required to support run-time generic types has little overhead compared with ordinary Java and GJ.