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© 2018

Software Fault Prediction

A Road Map

Book

Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Sandeep Kumar, Santosh Singh Rathore
    Pages 1-6
  3. Sandeep Kumar, Santosh Singh Rathore
    Pages 7-22
  4. Sandeep Kumar, Santosh Singh Rathore
    Pages 23-30
  5. Sandeep Kumar, Santosh Singh Rathore
    Pages 31-38
  6. Sandeep Kumar, Santosh Singh Rathore
    Pages 39-57
  7. Sandeep Kumar, Santosh Singh Rathore
    Pages 59-66
  8. Sandeep Kumar, Santosh Singh Rathore
    Pages 67-68
  9. Back Matter
    Pages 69-72

About this book

Introduction

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 area.

Keywords

Software Engineering Software Fault Prediction Quality Assurance Testing Soft Computing and Machine Learning Earning Models

Authors and affiliations

  1. 1.Department of Computer Science and EngineeringIndian Institute of Technology RoorkeeRoorkeeIndia
  2. 2.Department of Computer Science and EngineeringNational Institute of Technology JalandharJalandharIndia

About the authors

Dr Sandeep Kumar is currently working as an Assistant Professor at the Department of Computer Science and Engineering, Indian Institute of Technology (IIT) Roorkee, India. His areas of interest include Semantic Web, Web Services, and Software Engineering. He has supervised many Ph.D. students and filed two patents for his work done along with students. He is currently handling multiple national and international research/consultancy projects and has many accolades to his credit—Young Faculty Research Fellowship of MeitY (Govt. of India), NSF/TCPP early adopter award-2014, 2015, ITS Travel Award 2011 and 2013 and others. He is a member of the ACM and senior member of the IEEE. His name has also been listed in major directories such as Marquis Who’s Who, IBC and others.

Dr Santosh Singh Rathore  is currently working as an Assistant Professor in the Department of Computer Science and Engineering, National Institute of Technology (NIT) Jalandhar, India. He received his PhD degree from the Indian Institute of Technology Roorkee (IITR) and his master’s degree (M.Tech.) from the Indian Institute of Information Technology Design and Manufacturing (IIITDM) Jabalpur, India. His research interests include Software Fault Prediction, Software Quality Assurance, Empirical Software Engineering, Object-Oriented Software Development and Object-Oriented Metrics. He has published research papers in various peer-reviewed journals and international conference proceedings.

Bibliographic information

  • Book Title Software Fault Prediction
  • Book Subtitle A Road Map
  • Authors Sandeep Kumar
    Santosh Singh Rathore
  • Series Title SpringerBriefs in Computer Science
  • Series Abbreviated Title SpringerBriefs Computer Sci.
  • DOI https://doi.org/10.1007/978-981-10-8715-8
  • Copyright Information The Author(s) 2018
  • Publisher Name Springer, Singapore
  • eBook Packages Computer Science Computer Science (R0)
  • Softcover ISBN 978-981-10-8714-1
  • eBook ISBN 978-981-10-8715-8
  • Series ISSN 2191-5768
  • Series E-ISSN 2191-5776
  • Edition Number 1
  • Number of Pages XI, 72
  • Number of Illustrations 7 b/w illustrations, 1 illustrations in colour
  • Topics Software Engineering
    Information Systems Applications (incl. Internet)
  • Buy this book on publisher's site
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