Dissertation Steffen Mattern - Amazon S3.

Dan Steffen Mazanek wrote: Hello, say, we want to find the k'th element in a sorted list. In imperative languages it is much more efficient to not use quicksort first and get the k'th element later, but to use a quicksearch algorithm that sorts only the relevant parts of the array.

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I wonder whether multiparadigm programming could be supported that way more straightforwardly. So, one could not only generate imperative code from imperative abstractions, but one also could generate imperative code from an embedded functional program, right? Also it seems to be promising to integrate visual languages. That way, one could.

The next talk in our seminar was about ATL, the ATLAS transformation language. The talk took place on November 15, 2007, the same day we already discussed MOF QVT.The main difference between ATL and QVT is, that QVT is just a specification whereas ATL is both a language AND an implementation.

Some of the problems with process measurement are generally due to the fact that the definition of measurement plans does not rely on a reference model of the.

In this paper, we consider a large variety of solutions for the generation of Sierpinski triangles, one of the case studies for the AGTIVE graph transformation tool contest (15). A Sierpinski triangle shows a well-known fractal structure. This case study is mostly a performance benchmark, involving the construction of all triangles up to a certain number of iterations. Both time and space.

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Auto-completion of textual inputs when using IDEs benefits software development experts and novices. Researchers demonstrated that auto-completion is beneficial for graphical mode.

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Steffen Mazanek: Status: research prototype: A graph language can be described by a graph grammar in a manner similar to a string grammar known from the theory of formal languages. Unfortunately, graph parsing is known to be computationally expensive in general. There are even context-free graph languages the parsing of which is NP-complete. Therefore we have developed the Haskell library.

Much of Software Engineering research needs to provide an implementation as proof-of-concept. Often such implementations are created as exploratory prototypes without polished user interfaces, making it difficult to (1) run user studies to validate the tool's contribution, (2) validate the author's claim by fellow scientists, and (3) demonstrate the utility and value of the research.