By Krysztof Czarnecki, Ulrich Eisenecker
Generative Programming (GP) bargains the promise of relocating from "one-of-a-kind" software program platforms to the semi-automated manufacture of vast forms of software program -- basically, an meeting line for software program structures. GP's objective is to version software program process households and construct software program modules such that, given specific specifications specifications, hugely personalized and optimized intermediate or finish items could be built on call for. this can be the 1st booklet to hide Generative Programming extensive. The authors, leaders of their box, introduce the two-stage GP improvement cycle: one level for designing and enforcing a generative area version, and one other for utilizing the version to construct concrete platforms. They evaluation key alterations among generative modeling and approaches used for "one-of-a-kind" structures. subsequent, they introduce key GP options equivalent to function versions, and reveal "generic programming" strategies for growing parts which lend themselves to effortless mixture and reuse. The e-book additionally introduces point orientated Programming, which permits builders to unravel key ordinary difficulties in conventional O-O improvement; and offers metaprogramming options for construction strong software turbines. 3 specific case reviews reveal the whole generative improvement cycle, from research to implementation.
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Additional resources for Generative Programming: Methods, Tools, and Applications
For example, in order to check if green bean is a vegetable, the corresponding nodes in Figure 3 are activated (imagine that the net in Figure 3 is just a part of a larger network). The activation spreads along all the paths starting from each of the two nodes. The amount of activation depends on the weights. Some of the activated paths will intersect forming a pathway connecting the two nodes. The amount of activation in the pathways will be used to decide if green bean is a vegetable. 22 Generative Programming, K.
This suggests that nonnecessary features play an important role in defining concepts. Nesting of concept’s In addition to the single summary description consisting of sufficient and necessary properties, defining features in the classical view has one more assumption which is as follows [SM81, p. ” For example, consider the concept of rectangles and squares. All instances of the concept of squares are clearly instances of the concept of rectangles. Also, the defining features of rectangles are nested in those of squares (note that this requires the notion of nesting to include logical subsumption).
Features We can view concepts as chunks of knowledge. e. the concept they describe. It becomes immediately clear that the distinction between a concept and a feature is a relative one and determined by the focus of the description. If we would like to know the contents of a feature, we would move our focus on that feature and break it down piece by piece, as we did it with the initial concept. Why seem features so natural for describing concepts? Features allow as to describe concepts by using few items or chunks.