Sökning: onr:"swepub:oai:DiVA.org:bth-8089" >
Search-based predic...
Search-based prediction of fault count data
-
- Afzal, Wasif (författare)
- Blekinge Institute of Technology,IS (Embedded Systems)
-
- Torkar, Richard (författare)
- Blekinge Institute of Technology
-
- Feldt, Robert (författare)
- Blekinge Institute of Technology
-
(creator_code:org_t)
- ISBN 9780769536750
- Windsor : IEEE Computer Society, 2009
- 2009
- Engelska.
-
Ingår i: Proceedings - 1st International Symposium on Search Based Software Engineering, SSBSE 2009. - Windsor : IEEE Computer Society. - 9780769536750 ; , s. 35-38
- Relaterad länk:
-
https://bth.diva-por... (primary) (Raw object)
-
visa fler...
-
https://urn.kb.se/re...
-
https://urn.kb.se/re...
-
https://doi.org/10.1...
-
visa färre...
Abstract
Ämnesord
Stäng
- Symbolic regression, an application domain of genetic programming (GP), aims to find a function whose output has some desired property, like matching target values of a particular data set. While typical regression involves finding the coefficients of a pre-defined function, symbolic regression finds a general function, with coefficients, fitting the given set of data points. The concepts of symbolic regression using genetic programming can be used to evolve a model for fault count predictions. Such a model has the advantages that the evolution is not dependent on a particular structure of the model and is also independent of any assumptions, which are common in traditional time-domain parametric software reliability growth models. This research aims at applying experiments targeting fault predictions using genetic programming and comparing the results with traditional approaches to compare efficiency gains.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Programvaruteknik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Software Engineering (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Nyckelord
- search-based
- fault prediciton
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
Hitta via bibliotek
Till lärosätets databas