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- W3022342400 abstract "One of persistent hopes for rapid progress in Computer Science is that standard solutions to software design problems will be developed, analyzed, and used. In particular, hope for high-level languages has always been that enough low-level detail could be left to the to allow a mere human to develop solutions for enormously complex problems. An ideal high-level language would allow a programmer to concentrate on conceptual development of a solution for his problem, rather than on design of a representation for his solution once he can express it. Although existing high-level languages insulate a user from many details, they still require him to do low-level design for many problems, especially for complex ones. Such cases arise either because language provides only low-level storage structures (records, arrays, pointers, lists) with which programmer must encode his algorithm, or because it provides a general-purpose data structure for which an arbitrary (and usually sub-optimal) representation design choice has been made a priori (LISP,! SAIL2). Any single representation choice for a general data structure is very badly matched to some problems; user of a general data structure must often spend much time designing a way to avoid unacceptable inefficiencies. Furthermore, good storage structure design requires much clerical work, for which a person whose goal is to solve a problem will usually have little time or enthusiasm. An automatic system, on the· other hand, is well suited to job of systematically comparing cost and applicability of many representations that are available for program data. In addition, an automatic system is less likely than a person to overlook possible representation candidates." @default.
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- W3022342400 title "Automatic representation selection for associative data structures." @default.
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