Read e-book online Advances in Software Science and Technology, Volume 5 PDF

By Tsutomu Kamimura (Editor)

ISBN-10: 0120371057

ISBN-13: 9780120371051

This serial is a translation of the unique works in the Japan Society of software program technological know-how and Technology. A key resource of knowledge for laptop scientists within the united states, the serial explores the most important components of analysis in software program and know-how in Japan. those volumes are meant to advertise all over the world trade of rules between professionals.This quantity contains unique study contributions in such components as Augmented Language common sense (ALL), allotted c program languageperiod, Smalltalk eighty, and TAMPOPO-an evolutionary studying laptop in response to the foundations of Realtime minimal Skyline Detection

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Extra info for Advances in Software Science and Technology, Volume 5

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Fig. 9 Example of describing feature constraints in cu-Prolog [ head HF ] D [ head Fig. 10 5 HF ] Head feature principle Conclusion We have shown that modularization of constraints can be classified according to the syntactic properties of the constraints, as in Figure 12, in terms of the notations introduced in Section 3. In particular, we have shown that on a constraint composed of modularly defined predicates, the Modularization Algorithm terminates if the constraint is linear, and, by giving examples, we have pointed out some problems the algorithm faces when constraints are not linear.

When unnecessary parameters are eliminated, the possibility of detecting invariant subexpressions with respect to the known datum increases in the lambda hoisting algorithm, and the program may be transformed into a form in which tabulation is automatically achieved. We have given a practical algorithm for eliminating redundant parameters. In the algorithm, a directed -hyper-graph is used to represent the dependency of parameters, and an abstract domain is used to express whether the set of possible arguments for each parameter is a singleton or not.

Figure 4 shows an example of correspondence between term representation and constraint representation. In connection with the case of treeless forms, we might expect that the proposition every constraint that is a composition of modularly defined predicates is modularizable holds, although, in fact, this is not the case, as we show later. 4 Modularization algorithm A simple algorithm for modularizing constraints, called the Modularization Algorithm, is presented in Hasida and Sirai [7]. We show a rough sketch of the algorithm in Figure 5.

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Advances in Software Science and Technology, Volume 5 by Tsutomu Kamimura (Editor)


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