Automated Program Recognition: A Proposal
Name
AI_WP_279.pdf
Description
Main article
Size
1.88 MB
Format
Adobe PDF
Checksum (MD5)
4adfebdaf619da49dbc1c23d423b1b7a
Author(s)
Zelinka, Linda M.
Date Issued
December 1985
Publisher
MIT Artificial Intelligence Laboratory
Series/Report no.
MIT Artificial Intelligence Laboratory Working Papers, WP-279
Abstract
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 paper proposes 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.
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