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Incremental Computation for Transformational Software Development

dc.contributor.authorLiu, Yanhong A.en_US
dc.contributor.authorTeitelbaum, Timen_US
dc.date.accessioned2007-04-23T18:01:25Z
dc.date.available2007-04-23T18:01:25Z
dc.date.issued1995-03en_US
dc.description.abstractGiven a program $f$ and an input change $\oplus$, we wish to obtain an incremental program that computes $f(x\oplus y)$ efficiently by making use of the value of $f(x)$, the intermediate results computed in computing $f(x)$, and auxiliary information about $x$ that can be inexpensively maintained. Obtaining such incremental programs is an essential part of the transformational-programming approach to software development and enhancement. This paper presents a systematic approach that discovers a general class of useful auxiliary information, combines it with useful intermediate results, and obtains an efficient incremental program that uses and maintains these intermediate results and auxiliary information. We give a number of examples from list processing, VLSI circuit design, image processing, {\it etc}.en_US
dc.format.extent265044 bytes
dc.format.extent238243 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/postscript
dc.identifier.citationhttp://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cs/TR95-1499en_US
dc.identifier.urihttps://hdl.handle.net/1813/7157
dc.language.isoen_USen_US
dc.publisherCornell Universityen_US
dc.subjectcomputer scienceen_US
dc.subjecttechnical reporten_US
dc.titleIncremental Computation for Transformational Software Developmenten_US
dc.typetechnical reporten_US

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