Early Software Reliability Prediction

A Fuzzy Logic Approach

  • Ajeet Kumar Pandey
  • Neeraj Kumar Goyal

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 303)

Table of contents

  1. Front Matter
    Pages i-xix
  2. Ajeet Kumar Pandey, Neeraj Kumar Goyal
    Pages 1-16
  3. Ajeet Kumar Pandey, Neeraj Kumar Goyal
    Pages 17-33
  4. Ajeet Kumar Pandey, Neeraj Kumar Goyal
    Pages 35-57
  5. Ajeet Kumar Pandey, Neeraj Kumar Goyal
    Pages 59-80
  6. Ajeet Kumar Pandey, Neeraj Kumar Goyal
    Pages 81-104
  7. Ajeet Kumar Pandey, Neeraj Kumar Goyal
    Pages 105-115
  8. Ajeet Kumar Pandey, Neeraj Kumar Goyal
    Pages 117-130
  9. Back Matter
    Pages 131-153

About this book

Introduction

The development of software system with acceptable level of reliability and quality within available time frame and budget becomes a challenging objective. This objective could be achieved to some extent through early prediction of number of faults present in the software, which reduces the cost of development as it provides an opportunity to make early corrections during development process. The book presents an early software reliability prediction model that will help to grow the reliability of the software systems by monitoring it in each development phase, i.e. from requirement phase to testing phase. Different approaches are discussed in this book to tackle this challenging issue. An important approach presented in this book is a model to classify the modules into two categories (a) fault-prone and (b) not fault-prone. The methods presented in this book for assessing expected number of faults present in the software, assessing expected number of faults present at the end of each phase and classification of software modules in fault-prone or no fault-prone category are easy to understand, develop and use for any practitioner. The practitioners are expected to gain more information about their development process and product reliability, which can help to optimize the resources used.

Keywords

Bayesian Models Capability Maturity Model Fault Count Models Fault Seeding Models Fuzzy Set Theory Software Fault Prediction Software Reliability

Authors and affiliations

  • Ajeet Kumar Pandey
    • 1
  • Neeraj Kumar Goyal
    • 2
  1. 1.AECOMHyderabadIndia
  2. 2., Reliability Engineering CentreIndian Institute of Technology KharagpurKharagpurIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-81-322-1176-1
  • Copyright Information Springer India 2013
  • Publisher Name Springer, India
  • eBook Packages Engineering
  • Print ISBN 978-81-322-1175-4
  • Online ISBN 978-81-322-1176-1
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • About this book
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