Software Fault Prediction : A Road Map / by Sandeep Kumar, Santosh Singh Rathore

Von:

Kumar, Sandeep, 1974- [VerfasserIn]

Mitwirkende(r):

Rathore, Santosh Singh [VerfasserIn]

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: SpringerBriefs in Computer Science | SpringerLink BücherVerlag: Singapore : Springer Singapore, 2018Beschreibung: Online-Ressource (XI, 72 p. 8 illus., 1 illus. in color, online resource)ISBN:

9789811087158

Schlagwörter:

Andere physische Formen: 9789811087141 | Erscheint auch als: 978-981-10-8714-1 Druck-Ausgabe | Printed edition: 9789811087141 DDC-Klassifikation:

005.1

LOC-Klassifikation:

QA76.758

DOI: DOI: 10.1007/978-981-10-8715-8Online-Ressourcen:

Zusammenfassung: 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 areaZusammenfassung: Chapter 1. Introduction -- Chapter 2. Software Fault Prediction Process -- Chapter 3. Types of Software Fault Prediction -- Chapter 4. Software Fault Dataset -- Chapter 5. Evaluation of Techniques for Binary Class Prediction -- Chapter 6. Number of Fault Prediction -- Chapter 7. ConclusionsPPN: PPN: 1026858658Package identifier: Produktsigel: ZDB-2-SCS | ZDB-2-SEB | ZDB-2-SXCS

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