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- Path: sparky!uunet!seismo!darwin.sura.net!wupost!usc!cs.utexas.edu!torn!cunews!roger!dhg
- From: dhg@scs.carleton.ca (Daryl Herbert Graf)
- Newsgroups: comp.ai
- Subject: Training Data for Machine Learning of "Reusability" Concept
- Message-ID: <1992Jul21.174211.25623@cunews.carleton.ca>
- Date: 21 Jul 92 17:42:11 GMT
- Sender: news@cunews.carleton.ca (News Administrator)
- Reply-To: dhg@scs.carleton.ca
- Organization: School of Computer Science, Carleton University, Ottawa, Canada
- Lines: 23
-
- I am involved in a project in which machine learning techniques
- will be used to classify software modules as "reusable" or not.
- The learning system will require example modules that have been
- pre-classified by a human expert. Our general approach is an
- extension of that described in
-
- Esteva, J.C., Reynolds, R.G., 1991, Identifying Reusable Software
- Components by Induction, Intl. Journal of Software Engineering
- and Knowledge Engineering, Vol. 1, No. 3, pp 271-292
-
- My question is: Where can I best obtain a database of positive and
- negative examples of reusable software source ? Are there moderately
- large libraries that are considered particularly "good" examples
- of reusable code by those in the S.E. field ? (e.g. FTPable source,
- academic databases, commercial libraries, interested software houses,
- etc). Any information, commentary, suggestions, ideas would be
- appreciated. I will post a summary if sufficient interest is generated.
-
- Daryl Graf
- School of Computer Science
- Carleton University
- Ottawa, Ontario, Canada
- dhg@csc.carleton.ca
-