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Automated Program Recognition

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dc.creator Wills, Linda M.
dc.date 2004-10-20T20:02:44Z
dc.date 2004-10-20T20:02:44Z
dc.date 1987-02-01
dc.date.accessioned 2013-10-09T02:47:22Z
dc.date.available 2013-10-09T02:47:22Z
dc.date.issued 2013-10-09
dc.identifier AITR-904
dc.identifier http://hdl.handle.net/1721.1/6856
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description The key to understanding a program is recognizing familiar algorithmic fragments and data structures in it. Automating this recognition process will make it easier to perform many tasks which require program understanding, e.g., maintenance, modification, and debugging. This report describes a recognition system, called the Recognizer, which automatically identifies occurrences of stereotyped computational fragments and data structures in programs. The Recognizer is able to identify these familiar fragments and structures, even though they may be expressed in a wide range of syntactic forms. It does so systematically and efficiently by using a parsing technique. Two important advances have made this possible. The first is a language-independent graphical representation for programs and programming structures which canonicalizes many syntactic features of programs. The second is an efficient graph parsing algorithm.
dc.format 202 p.
dc.format 17354863 bytes
dc.format 6476150 bytes
dc.format application/postscript
dc.format application/pdf
dc.language en_US
dc.relation AITR-904
dc.subject analysis by inspection
dc.subject computer aided instruction
dc.subject sgraph grammars
dc.subject parsing
dc.subject Programmer's Apprentice
dc.subject Pland Calculus
dc.subject programsrecognition
dc.subject program understanding
dc.title Automated Program Recognition


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