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Function orientation begs descriptions of interaction mechanisms.
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RELATING TO INTERACTION ALGEBRA
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As mentioned in the Introduction and covered in Four, interaction algebra is a notation that enables a very structured, very concise technique for analyzing interactions and designing mechanisms. Perhaps the most far-reaching ability of interaction algebra is how it might be able to thoroughly clarify combinations of mechanisms as an integral part of a whole-system design. Just as in standard algebra, the objective is to maintain the algebraic characteristics manipulating variables, not inserting constants. Of course, in both, this type of effort can be cumbersome, but (in both) it s often necessary.
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At a slightly lower level, there s the topic of programming languages; a language can be seen as simply a tool of designing. The effects particular languages have on the design are obviously important to consider, especially in choosing which language to use. The most significant issue related to function orientation is binding. C++ has mostly static binding. The pro to this is that C++ does most of its memory-map construction at compile time, so it is faster at execution. The cons are that it requires heavy recompiling, it does not have (execution-time) object analysis features, and it is not extensible by the user. Java and Objective C have mostly dynamic binding, and Smalltalk has only dynamic binding. The con is that they do most of their memory-map construction at execution time, so they are slower. The pros are that they do not require heavy recompiling, they do have object analysis features, and they are extensible by the user (including by other systems the ultimate in software reuse).
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CHAPTER TWO BI-DESIGN
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Network Characteristics
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At a much higher level, it can be seen that a network of function sets actually has an embedded structure, which includes levels, but not an overall hierarchy. While an applicationoriented view of a system is a breakdown of its objectives, which is an obvious structure, a function-oriented view of the same system is a breakdown of its functionality a structure of types of function sets. These types are defined by each set s role in an interaction mechanism and, moreover, by its role in potential applications. The more meaningful roles are architectural aspects (or concerns). A network can be seen to be most simply a virtual hierarchy, meaning that it s basically a hierarchy with loose connections, providing options.
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A network of function sets actually has an embedded structure a breakdown of its types of function sets. A network can be seen to be most simply a virtual hierarchy, with loose connections.
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Dependence is a network in its simplest form, because it has no structure. In the next simplest (and more common) form, a function set network has static composition hierarchies. Beginning to be complex, this network can be functionally extended with dynamic composition. More complex, the differing types of function sets can be brought together only through application classes (or groups of classes) and their static composition. (This type of connection is a Mediator mechanism type, and a system that uses only these canbe said to have a Mediator architecture [or a segmented-Mediator architecture].) And most complex, the application classes can have dynamic composition. Any network can have combinations of all of these. The reason why the more complex connections are often better is that they make the network structure more flexible. Actually, a network connected entirely through dependence is much worse than an application-oriented system, because it has much more complexity (of logic spread over many modules and a lot of jumping around at execution) but no more benefit. And a network connected entirely through application classes with only dynamic composition is, on its own, usually too complex for any of its benefits. A significant exception is when this is handled through a third-party framework that uses a parameter description file as the dynamic composition; an example of this type of framework is Spring.
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The connections between function sets can make a network structure anywhere from very rigid to very flexible, even in various places at the same time.
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Function orientation reorients structure; it anchors structure at the level of the function set, instead of at the level of the entire system. System-level structure is too flexible for ongoing design; it allows little patches (ultimately promoting laziness) that violate higher
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