Early Software Reliability Prediction (Record no. 52033)

000 -LEADER
fixed length control field 03393nam a22005055i 4500
001 - CONTROL NUMBER
control field 978-81-322-1176-1
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200420220223.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 130712s2013 ii | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9788132211761
-- 978-81-322-1176-1
082 04 - CLASSIFICATION NUMBER
Call Number 006.3
100 1# - AUTHOR NAME
Author Pandey, Ajeet Kumar.
245 10 - TITLE STATEMENT
Title Early Software Reliability Prediction
Sub Title A Fuzzy Logic Approach /
300 ## - PHYSICAL DESCRIPTION
Number of Pages XIX, 153 p.
490 1# - SERIES STATEMENT
Series statement Studies in Fuzziness and Soft Computing,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Introduction -- Backgrounds: Software Quality and Reliability Prediction -- Early Fault Prediction using Software Metrics and Process Maturity -- Multistage Model for Residual Fault Prediction -- Prediction and Ranking of Fault-prone Software Modules -- Reliability Centric Test Case Prioritization -- Software Reliability and Operational Profile -- Appendices -- References.
520 ## - SUMMARY, ETC.
Summary, etc 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.
700 1# - AUTHOR 2
Author 2 Goyal, Neeraj Kumar.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-81-322-1176-1
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- India :
-- Springer India :
-- Imprint: Springer,
-- 2013.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Software engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Statistics.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational intelligence.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational Intelligence.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Software Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Statistics and Computing/Statistics Programs.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 1434-9922 ;
912 ## -
-- ZDB-2-ENG

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