Synopsis
In the early phases of software development, failure information is not available to quantitatively measure reliability of a software product. This book discusses the need and various methods of quantifying the software reliability in early stages. Currently there is no consensus on approaches for reliability analysis of software owing to the challenges in data, modeling and analysis of these systems. In this book, emphasis is given for applicability of software metrics for quantification of software reliability.The book also discusses some of the previous work in this direction. In addition, techniques such as Bayesian Belief Network and expert elicitation were also discussed from the framework of software reliability prediction. This book attempts to establish a link between theory and practice of software reliability methods for any software product
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About the Author
Fellow Steinbies Advanced Risk Technologies, Scientist, Asst. Professor,HBNI, India. Graduated in Computer engineering and holds doctoral degree in Reliability Engineering.Fields of interest are Reliability, Safety and Risk analysis of various industries. Member of the editorial committee for various journals and Referee for journal, thesis.
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Early Prediction models for software reliability
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In the early phases of software development, failure information is not available to quantitatively measure reliability of a software product. This book discusses the need and various methods of quantifying the software reliability in early stages. Currently there is no consensus on approaches for reliability analysis of software owing to the challenges in data, modeling and analysis of these systems. In this book, emphasis is given for applicability of software metrics for quantification of software reliability.The book also discusses some of the previous work in this direction. In addition, techniques such as Bayesian Belief Network and expert elicitation were also discussed from the framework of software reliability prediction. This book attempts to establish a link between theory and practice of software reliability methods for any software product 64 pp. Englisch. Seller Inventory # 9783659449338
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Vinod GopikaFellow Steinbies Advanced Risk Technologies, Scientist, Asst. Professor,HBNI, India. Graduated in Computer engineering and holds doctoral degree in Reliability Engineering.Fields of interest are Reliability, Safety and Ri. Seller Inventory # 5156889
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Early Prediction models for software reliability
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In the early phases of software development, failure information is not available to quantitatively measure reliability of a software product. This book discusses the need and various methods of quantifying the software reliability in early stages. Currently there is no consensus on approaches for reliability analysis of software owing to the challenges in data, modeling and analysis of these systems. In this book, emphasis is given for applicability of software metrics for quantification of software reliability.The book also discusses some of the previous work in this direction. In addition, techniques such as Bayesian Belief Network and expert elicitation were also discussed from the framework of software reliability prediction. This book attempts to establish a link between theory and practice of software reliability methods for any software productVDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Englisch. Seller Inventory # 9783659449338
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Taschenbuch. Condition: Neu. Early Prediction models for software reliability | Gopika Vinod (u. a.) | Taschenbuch | 64 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659449338 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 105618910