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Condition: New. pp. XIII, 78 8 illus., 1 illus. in color. 1 Edition NO-PA16APR2015-KAP.
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Fault Prediction Modeling for the Prediction of Number of Software Faults (SpringerBriefs in Computer Science)
Book 292 of 322: SpringerBriefs in Computer ScienceSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 50.43
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
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Fault Prediction Modeling for the Prediction of Number of Software Faults
Book 292 of 322: SpringerBriefs in Computer ScienceLanguage: English
Published by Springer-Verlag New York Inc, 2019
ISBN 10: 981137130X ISBN 13: 9789811371301
Paperback. Condition: Brand New. 92 pages. 9.25x6.10x0.22 inches. In Stock.
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Paperback. Condition: Brand New. 84 pages. 9.25x6.10x0.32 inches. In Stock.
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book addresses software faults-a critical issue that not only reduces the quality of software, but also increases their development costs. Various models for predicting the fault-proneness of software systems have been proposed; however, most of them provide inadequate information, limiting their effectiveness. This book focuses on the prediction of number of faults in software modules, and provides readers with essential insights into the generalized architecture, different techniques, and state-of-the art literature. In addition, it covers various software fault datasets and issues that crop up when predicting number of faults.A must-read for readers seeking a 'one-stop' source of information on software fault prediction and recent research trends, the book will especially benefit those interested in pursuing research in this area. At the same time, it will provide experienced researchers with a valuable summary of the latest developments.
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Taschenbuch. Condition: Neu. Fault Prediction Modeling for the Prediction of Number of Software Faults | Santosh Singh Rathore (u. a.) | Taschenbuch | xiii | Englisch | 2019 | Springer | EAN 9789811371301 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Paperback. Condition: New. New. book.
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Fault Prediction Modeling for the Prediction of Number of Software Faults
Book 292 of 322: SpringerBriefs in Computer ScienceLanguage: English
Published by Springer Nature Singapore, 2019
ISBN 10: 981137130X ISBN 13: 9789811371301
Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | This book addresses software faultsża critical issue that not only reduces the quality of software, but also increases their development costs. Various models for predicting the fault-proneness of software systems have been proposed; however, most of them provide inadequate information, limiting their effectiveness. This book focuses on the prediction of number of faults in software modules, and provides readers with essential insights into the generalized architecture, different techniques, and state-of-the art literature. In addition, it covers various software fault datasets and issues that crop up when predicting number of faults. A must-read for readers seeking a żone-stopż source of information on software fault prediction and recent research trends, the book will especially benefit those interested in pursuing research in this area. At the same time, it will provide experienced researchers with a valuable summary of the latest developments.
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Condition: new. Questo è un articolo print on demand.
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Condition: New. Print on Demand pp. XIII, 78 8 illus., 1 illus. in color.
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Software Fault Prediction
Book 261 of 322: SpringerBriefs in Computer ScienceLanguage: English
Published by Springer Nature Singapore Jun 2018, 2018
ISBN 10: 9811087148 ISBN 13: 9789811087141
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book focuses on exploring the use of software fault prediction in building reliable and robust software systems. It is divided into the following chapters: Chapter 1 presents an introduction to the study and also introduces basic concepts of software fault prediction. Chapter 2 explains the generalized architecture of the software fault prediction process and discusses its various components. In turn, Chapter 3 provides detailed information on types of fault prediction models and discusses the latest literature on each model. Chapter 4 describes the software fault datasets and diverse issues concerning fault datasets when building fault prediction models. Chapter 5 presents a study evaluating different techniques on the basis of their performance for software fault prediction. Chapter 6 presents another study evaluating techniques for predicting the number of faults in the software modules. In closing, Chapter 7 provides a summary of the topics discussed. The book will be of immense benefit to all readers who are interested in starting research in this area. In addition, it offers experienced researchers a valuable overview of the latest work in this area. 84 pp. Englisch.
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Condition: New. PRINT ON DEMAND pp. XIII, 78 8 illus., 1 illus. in color.
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Includes coverage of binary class as well as number of fault predictionFeatures a wealth of figures and tables to better illustrate the contentPresents an empirical study on learning models Dr S.
