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

By: Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: SpringerBriefs in Computer Science | SpringerLink BücherPublisher: Singapore : Springer Singapore, 2018Description: Online-Ressource (XI, 72 p. 8 illus., 1 illus. in color, online resource)ISBN:
  • 9789811087158
Subject(s): Additional physical formats: 9789811087141 | Erscheint auch als: 978-981-10-8714-1 Druck-Ausgabe | Printed edition: 9789811087141 DDC classification:
  • 005.1
LOC classification:
  • QA76.758
DOI: DOI: 10.1007/978-981-10-8715-8Online resources: Summary: 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 areaSummary: 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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