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008 130712s2013 ii | s |||| 0|eng d
020 _a9788132211761
_9978-81-322-1176-1
024 7 _a10.1007/978-81-322-1176-1
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
100 1 _aPandey, Ajeet Kumar.
_eauthor.
245 1 0 _aEarly Software Reliability Prediction
_h[electronic resource] :
_bA Fuzzy Logic Approach /
_cby Ajeet Kumar Pandey, Neeraj Kumar Goyal.
264 1 _aIndia :
_bSpringer India :
_bImprint: Springer,
_c2013.
300 _aXIX, 153 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Fuzziness and Soft Computing,
_x1434-9922 ;
_v303
505 0 _aIntroduction -- 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 _aThe 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.
650 0 _aEngineering.
650 0 _aSoftware engineering.
650 0 _aStatistics.
650 0 _aComputational intelligence.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aSoftware Engineering.
650 2 4 _aStatistics and Computing/Statistics Programs.
700 1 _aGoyal, Neeraj Kumar.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9788132211754
830 0 _aStudies in Fuzziness and Soft Computing,
_x1434-9922 ;
_v303
856 4 0 _uhttp://dx.doi.org/10.1007/978-81-322-1176-1
912 _aZDB-2-ENG
942 _2Dewey Decimal Classification
_ceBooks
999 _c48123
_d48123