Logo - springer
Slogan - springer

Engineering - Computational Intelligence and Complexity | Early Software Reliability Prediction - A Fuzzy Logic Approach

Early Software Reliability Prediction

A Fuzzy Logic Approach

Pandey, Ajeet Kumar, Goyal, Neeraj Kumar

2013, XIX, 153 p. 48 illus.

Available Formats:
eBook
Information

Springer eBooks may be purchased by end-customers only and are sold without copy protection (DRM free). Instead, all eBooks include personalized watermarks. This means you can read the Springer eBooks across numerous devices such as Laptops, eReaders, and tablets.

You can pay for Springer eBooks with Visa, Mastercard, American Express or Paypal.

After the purchase you can directly download the eBook file or read it online in our Springer eBook Reader. Furthermore your eBook will be stored in your MySpringer account. So you can always re-download your eBooks.

 
$99.00

(net) price for USA

ISBN 978-81-322-1176-1

digitally watermarked, no DRM

Included Format: PDF and EPUB

download immediately after purchase


learn more about Springer eBooks

add to marked items

Hardcover
Information

Hardcover version

You can pay for Springer Books with Visa, Mastercard, American Express or Paypal.

Standard shipping is free of charge for individual customers.

 
$129.00

(net) price for USA

ISBN 978-81-322-1175-4

free shipping for individuals worldwide

usually dispatched within 3 to 5 business days


add to marked items

  • Presents an early software reliability prediction model that will help to grow the reliability of the software systems
  • Highly useful for practitioners and professionals
  • Discusses multistage model for residual fault prediction
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.

Content Level » Research

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

Related subjects » Computational Intelligence and Complexity - Computational Statistics - Software Engineering

Table of contents / Sample pages 

Popular Content within this publication 

 

Articles

Read this Book on Springerlink

Services for this book

New Book Alert

Get alerted on new Springer publications in the subject area of Computational Intelligence.