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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 beof 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.Produkteigenschaften
- Artikelnummer: 9789811087141
- Medium: Buch
- ISBN: 978-981-10-8714-1
- Verlag: Springer Nature Singapore
- Erscheinungstermin: 18.06.2018
- Sprache(n): Englisch
- Auflage: 1. Auflage 2018
- Serie: SpringerBriefs in Computer Science
- Produktform: Kartoniert, Paperback
- Gewicht: 1569 g
- Seiten: 72
- Format (B x H x T): 155 x 235 x 5 mm
- Ausgabetyp: Kein, Unbekannt