The Astringency of the GP Algorithm for Forecasting Software Failure Data Series
The forecasting of software failure data series by Genetic Programming (GP) can be realized without any assumptions before modeling. This discovery has transformed traditional statistical modeling methods as well as improved consistency for model applicability. The individuals' different charac...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Ubiquity Press
2007-05-01
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| Series: | Data Science Journal |
| Subjects: | |
| Online Access: | http://datascience.codata.org/articles/422 |