Software Effort Estimation Using Artificial Neural Networks: a performance analysis of different ANNs - Tapa blanda
Sinopsis
Continuous changing scenarios of software development technology make effort estimation more challenging. Some of the difficulties of estimation arise from the complexity and invisibility of software. Software development is intensively human activity and can’t be free from error. Ability of ANN(Artificial Neural Network) to model a complex set of relationship between the dependent variable (effort) and the independent variables (cost drivers) makes it as a potential tool for estimation. The application of artificial neural networks in prediction of effort in conventional and Object Oriented Software development approach has been discussed.
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Reseña del editor
Continuous changing scenarios of software development technology make effort estimation more challenging. Some of the difficulties of estimation arise from the complexity and invisibility of software. Software development is intensively human activity and can’t be free from error. Ability of ANN(Artificial Neural Network) to model a complex set of relationship between the dependent variable (effort) and the independent variables (cost drivers) makes it as a potential tool for estimation. The application of artificial neural networks in prediction of effort in conventional and Object Oriented Software development approach has been discussed.
Biografía del autor
Jagannath Singh received the M.Tech in Computer Sc. & Engineering (Software Engineering) NIT Rourkela India. His research areas Software Engineering, Artificial Neural Networks. Prof. Bibhudatta Sahoo is assistant professor in the Dept. of Computer Sc. & Engg at NIT Rourkela. His area of research are Distributed systems,Computational m/c
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Software Effort Estimation Using Artificial Neural Networks
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LAP LAMBERT Academic Publishing Jun 2012, 2012
ISBN 10: 3659157007
ISBN 13: 9783659157004
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Continuous changing scenarios of software development technology make effort estimation more challenging. Some of the difficulties of estimation arise from the complexity and invisibility of software. Software development is intensively human activity and can't be free from error. Ability of ANN(Artificial Neural Network) to model a complex set of relationship between the dependent variable (effort) and the independent variables (cost drivers) makes it as a potential tool for estimation. The application of artificial neural networks in prediction of effort in conventional and Object Oriented Software development approach has been discussed. 84 pp. Englisch. Nº de ref. del artículo: 9783659157004
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Software Effort Estimation Using Artificial Neural Networks
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LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659157007
ISBN 13: 9783659157004
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Tapa blanda
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Singh JagannathJagannath Singh received the M.Tech in Computer Sc. & Engineering (Software Engineering) NIT Rourkela India. His research areas Software Engineering, Artificial Neural Networks. Prof. Bibhudatta Sahoo is assistant p. Nº de ref. del artículo: 5135678
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Software Effort Estimation Using Artificial Neural Networks
Publicado por
LAP LAMBERT Academic Publishing Jun 2012, 2012
ISBN 10: 3659157007
ISBN 13: 9783659157004
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Continuous changing scenarios of software development technology make effort estimation more challenging. Some of the difficulties of estimation arise from the complexity and invisibility of software. Software development is intensively human activity and can't be free from error. Ability of ANN(Artificial Neural Network) to model a complex set of relationship between the dependent variable (effort) and the independent variables (cost drivers) makes it as a potential tool for estimation. The application of artificial neural networks in prediction of effort in conventional and Object Oriented Software development approach has been discussed.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 84 pp. Englisch. Nº de ref. del artículo: 9783659157004
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Software Effort Estimation Using Artificial Neural Networks : a performance analysis of different ANNs
Publicado por
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659157007
ISBN 13: 9783659157004
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Continuous changing scenarios of software development technology make effort estimation more challenging. Some of the difficulties of estimation arise from the complexity and invisibility of software. Software development is intensively human activity and can't be free from error. Ability of ANN(Artificial Neural Network) to model a complex set of relationship between the dependent variable (effort) and the independent variables (cost drivers) makes it as a potential tool for estimation. The application of artificial neural networks in prediction of effort in conventional and Object Oriented Software development approach has been discussed. Nº de ref. del artículo: 9783659157004
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Software Effort Estimation Using Artificial Neural Networks | a performance analysis of different ANNs
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LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659157007
ISBN 13: 9783659157004
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Taschenbuch. Condición: Neu. Software Effort Estimation Using Artificial Neural Networks | a performance analysis of different ANNs | Jagannath Singh (u. a.) | Taschenbuch | 84 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783659157004 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Nº de ref. del artículo: 106394958
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Software Effort Estimation Using Artificial Neural Networks: a performance analysis of different ANNs
Publicado por
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659157007
ISBN 13: 9783659157004
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