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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.
| Autorius: | Santosh Singh Rathore, Sandeep Kumar, |
| Serija: | SpringerBriefs in Computer Science |
| Leidėjas: | Springer Nature Singapore |
| Išleidimo metai: | 2018 |
| Knygos puslapių skaičius: | 84 |
| ISBN-10: | 9811087148 |
| ISBN-13: | 9789811087141 |
| Formatas: | 235 x 155 x 5 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Software Fault Prediction: A Road Map“
