A generic program is written once and works on values of many data types. Generic Haskell is a recent extension of the functional programming language Haskell that supports generic programming. This paper discusses how Generic Haskell can be used to implement XML tools whose behaviour depends on the DTD or Schema of the input XML document. Example tools include XML editors, databases, and compressors. Generic Haskell is ideally suited for implementing XML tools: .

An XML data binding is a translation of XML documents into values of some programming language. This paper discusses a type-preserving XML-Haskell data binding that handles documents typed by the W3C XML Schema standard. Our translation is based on a formal semantics of Schema, and has been proved sound with respect to the semantics. We also show a program in Generic Haskell that constructs parsers specialized to a particular Schema type.

Datatypes which di#er inessentially in their names and structure are said to be isomorphic; for example, a ternary product is isomorphic to a nested pair of binary products. In some canonical cases, the conversion function is uniquely determined solely by the two types involved.

Simulation-Based Early Warning Systems provide opportunities to control and analyze material flow systems by forecasting future system states. For this purpose a flexible reporting and extracting of simulation results respectively is essential but not supported by simulation tools in a standardized and simulator-independent way. There is a variety of general communication methods to exchange results with non-simulation applications (e.g. Simulation-Based Early Warning Systems). Nevertheless the data structure and representation have to be described for every isolated case. This article presents a solution approach to enable flexible generation of reports via XML and XSLT. For this reason an XML schema definition used for defining variable calculation rules is described and its implementation in representative simulation tools is pointed up as well as the link to simulation-based early warning systems.