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Software Fault Prediction

A Road Map
Sofort lieferbar | Lieferzeit: Sofort lieferbar I
ISBN-13:
9789811087158
Veröffentl:
2018
Seiten:
72
Autor:
Sandeep Kumar
Serie:
SpringerBriefs in Computer Science
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
1 - PDF Watermark
Sprache:
Englisch
Beschreibung:

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.
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. Conclusions.

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