ISBN: 9783346654946 - developing assessment models for software reliability at late design phase (4 risultati)

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  • Lingua: Inglese

    Editore: Grin Verlag, 2022

    334665494X / 9783346654946

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    Da: California Books, Miami, FL, U.S.A.California Books

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  • Lingua: Inglese

    Editore: GRIN Verlag, 2022

    334665494X / 9783346654946

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    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Doctoral Thesis / Dissertation from the year 2021 in the subject Computer Science - Software, Savitribai Phule Pune University, formerly University of Pune (Department of Computer Science), course: Ph.D, language: English, abstract: In this thesis report the pertinence of the models (Neural Network model and Hellinger Net model) for better software reliability prediction considering the parameters and software metrics affecting the software design in a real environment is described. And a method of software defect detection and software reliability assessment using NN model and Intelligent Water Drop (IWD) Technique is presented. Built on a Neural Network (NN), two models are developed which predicts the software reliability in a more accurate manner. There are two kinds of hybrid models developed. One uses IWD with NN and another is IWD with Spiking Neural Network (SNN).For both, the modelling feature selection technique and learning algorithm is implemented and the data representation methods and some metrics associated with software reliability models are discussed. Various datasets containing metrics values with software failures are applied to the proposed models. These datasets are acquired from variety of software projects. …

  • Lingua: Inglese

    Editore: GRIN Verlag Jul 2022, 2022

    334665494X / 9783346654946

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    • Print on Demand

    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Doctoral Thesis / Dissertation from the year 2021 in the subject Computer Science - Software, Savitribai Phule Pune University, formerly University of Pune (Department of Computer Science), course: Ph.D, language: English, abstract: In this thesis report the pertinence of the models (Neural Network model and Hellinger Net model) for better software reliability prediction considering the parameters and software metrics affecting the software design in a real environment is described. And a method of software defect detection and software reliability assessment using NN model and Intelligent Water Drop (IWD) Technique is presented. Built on a Neural Network (NN), two models are developed which predicts the software reliability in a more accurate manner. There are two kinds of hybrid models developed. One uses IWD with NN and another is IWD with Spiking Neural Network (SNN). For both, the modelling feature selection technique and learning algorithm is implemented and the data representation methods and some metrics associated with software reliability models are discussed. Various datasets containing metrics values with software failures are applied to the proposed models. These datasets are acquired from variety of software projects. 164 pp. Englisch. …

  • Lingua: Inglese

    Editore: GRIN Verlag, GRIN Verlag Jul 2022, 2022

    334665494X / 9783346654946

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    • Print on Demand

    Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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    EUR 52,95

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    Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Doctoral Thesis / Dissertation from the year 2021 in the subject Computer Science - Software, Savitribai Phule Pune University, formerly University of Pune (Department of Computer Science), course: Ph.D, language: English, abstract: In this thesis report the pertinence of the models (Neural Network model and Hellinger Net model) for better software reliability prediction considering the parameters and software metrics affecting the software design in a real environment is described. And a method of software defect detection and software reliability assessment using NN model and Intelligent Water Drop (IWD) Technique is presented. Built on a Neural Network (NN), two models are developed which predicts the software reliability in a more accurate manner. There are two kinds of hybrid models developed. One uses IWD with NN and another is IWD with Spiking Neural Network (SNN). For both, the modelling feature selection technique and learning algorithm is implemented and the data representation methods and some metrics associated with software reliability models are discussed. Various datasets containing metrics values with software failures are applied to the proposed models. These datasets are acquired from variety of software projects.Books on Demand GmbH, Überseering 33, 22297 Hamburg 164 pp. Englisch. …