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Using neural networks in software repositories
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Boetticher, G. Srinivas, Kankanahalli |
| Editor | Eichmann, David |
| Copyright Year | 1992 |
| Description | 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. |
| File Size | 1330232 |
| Page Count | 44 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_19920022353 |
| Archival Resource Key | ark:/13960/t1sf7pj75 |
| Language | English |
| Publisher Date | 1992-06-01 |
| Access Restriction | Open |
| Subject Keyword | Cybernetics Algorithms Neural Nets Computer Techniques Information Retrieval Feasibility Architecture Computers Memory Computers Computer Programs Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Technical Report |
