Report
Using neural networks in software repositories
Technical report (RICIS)
Research Institute for Computing and Information Systems, University of Houston-Clear Lake
06/01/1992
Abstract
The first topic is an exploration of the use of neural network techniques to improve the effectiveness of retrieval in software repositories. The second topic relates to a series of experiments conducted to evaluate the feasibility of using adaptive neural networks as a means of deriving (or more specifically, learning) measures on software. Taken together, these two efforts illuminate a very promising mechanism supporting software infrastructures - one based upon a flexible and responsive technology.
Details
- Title: Subtitle
- Using neural networks in software repositories
- Creators
- David Eichmann (Editor)
- Resource Type
- Report
- Publication Details
- Technical report (RICIS)
- Publisher
- Research Institute for Computing and Information Systems, University of Houston-Clear Lake
- Number of pages
- 44 pages
- Grant note
- Cooperative agreement NCC 9-16, Research Activity No SE-43
- Language
- English
- Date published
- 06/01/1992
- Academic Unit
- Library and Information Science
- Record Identifier
- 9984003175702771
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