Articles liés à Fault Prediction Modeling for the Prediction of Number...
Synopsis
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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Dr. Santosh Singh Rathore is currently working as an Assistant Professor at the Department of Computer Science and Engineering, National Institute of Technology (NIT) Jalandhar, India. He received his Ph.D. degree from the Indian Institute of Technology Roorkee (IIT) and his master's degree (M.Tech.) from the Indian Institute of Information Technology Design and Manufacturing (IIITDM) in Jabalpur, India. His research interests include Software Fault Prediction, Software Quality Assurance, Empirical Software Engineering, Object-Oriented Software Development, and Object-Oriented Metrics. He has published in various peer-reviewed journals and international conference proceedings.
Dr. Sandeep Kumar is currently working as an Assistant Professor at the Department of Computer Science and Engineering, Indian Institute of Technology (IIT) Roorkee, India. His areas of interest include Semantic Web, Web Services, and Software Engineering. He is currently engaged in various national and international research/consultancy projects and has many accolades to his credit, e.g. a Young Faculty Research Fellowship from the MeitY (Govt. of India), NSF/TCPP early adopter award--2014, 2015, ITS Travel Award 2011 and 2013, etc. He is a member of the ACM and senior member of the IEEE. His name has also been listed in major directories such as Marquis Who's Who, IBC, and others.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Acheter neuf
Afficher cet article
EUR 48,37
EUR 9,70 expédition depuis Allemagne vers France
Destinations, frais et délaisRésultats de recherche pour Fault Prediction Modeling for the Prediction of Number...
Image d'archives
Fault Prediction Modeling for the Prediction of Number of Software Faults
Edité par
Springer Nature Singapore, 2019
ISBN 10 : 981137130X
ISBN 13 : 9789811371301
Ancien ou d'occasion
Couverture souple
Vendeur : Buchpark, Trebbin, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Etat : Sehr gut. Zustand: Sehr gut | Seiten: 92 | Sprache: Englisch | Produktart: Bücher. N° de réf. du vendeur 33643668/2
Quantité disponible : 1 disponible(s)
Image fournie par le vendeur
Fault Prediction Modeling for the Prediction of Number of Software Faults
Edité par
Springer Singapore, 2019
ISBN 10 : 981137130X
ISBN 13 : 9789811371301
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. N° de réf. du vendeur 273276501
Quantité disponible : Plus de 20 disponibles
Image fournie par le vendeur
Fault Prediction Modeling for the Prediction of Number of Software Faults
Edité par
Springer Nature Singapore Apr 2019, 2019
ISBN 10 : 981137130X
ISBN 13 : 9789811371301
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 92 pp. Englisch. N° de réf. du vendeur 9789811371301
Quantité disponible : 2 disponible(s)
Image d'archives
Fault Prediction Modeling for the Prediction of Number of Software Faults
Vendeur : Chiron Media, Wallingford, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
PF. Etat : New. N° de réf. du vendeur 6666-IUK-9789811371301
Quantité disponible : 10 disponible(s)
Image d'archives
Fault Prediction Modeling for the Prediction of Number of Software Faults (SpringerBriefs in Computer Science)
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. In. N° de réf. du vendeur ria9789811371301_new
Quantité disponible : Plus de 20 disponibles
Image fournie par le vendeur
Fault Prediction Modeling for the Prediction of Number of Software Faults
Edité par
Springer Nature Singapore, Springer Nature Singapore Apr 2019, 2019
ISBN 10 : 981137130X
ISBN 13 : 9789811371301
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 92 pp. Englisch. N° de réf. du vendeur 9789811371301
Quantité disponible : 2 disponible(s)
Image fournie par le vendeur
Fault Prediction Modeling for the Prediction of Number of Software Faults
Edité par
Springer Nature Singapore, Springer Nature Singapore, 2019
ISBN 10 : 981137130X
ISBN 13 : 9789811371301
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : 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. N° de réf. du vendeur 9789811371301
Quantité disponible : 1 disponible(s)
Image d'archives
Fault Prediction Modeling for the Prediction of Number of Software Faults (SpringerBriefs in Computer Science)
Vendeur : California Books, Miami, FL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. N° de réf. du vendeur I-9789811371301
Quantité disponible : Plus de 20 disponibles
Image d'archives
Fault Prediction Modeling for the Prediction of Number of Software Faults
Vendeur : Books Puddle, New York, NY, Etats-Unis
Évaluation du vendeur 4 sur 5 étoiles
Etat : New. pp. XIII, 78 8 illus., 1 illus. in color. 1 Edition NO-PA16APR2015-KAP. N° de réf. du vendeur 26384557662
Quantité disponible : 4 disponible(s)
Image d'archives
Fault Prediction Modeling for the Prediction of Number of Software Faults
Edité par
Springer-Verlag New York Inc, 2019
ISBN 10 : 981137130X
ISBN 13 : 9789811371301
Neuf
Paperback
Vendeur : Revaluation Books, Exeter, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : Brand New. 92 pages. 9.25x6.10x0.22 inches. In Stock. N° de réf. du vendeur x-981137130X
Quantité disponible : 2 disponible(s)