000 03994nam a22005775i 4500
001 978-0-85729-204-9
003 DE-He213
005 20140220083713.0
007 cr nn 008mamaa
008 130509s2011 xxk| s |||| 0|eng d
020 _a9780857292049
_9978-0-85729-204-9
024 7 _a10.1007/978-0-85729-204-9
_2doi
050 4 _aTA169.7
050 4 _aT55-T55.3
050 4 _aTA403.6
072 7 _aTGPR
_2bicssc
072 7 _aTEC032000
_2bisacsh
082 0 4 _a658.56
_223
100 1 _aKapur, P.K.
_eauthor.
245 1 0 _aSoftware Reliability Assessment with OR Applications
_h[electronic resource] /
_cby P.K. Kapur, Hoang Pham, A. Gupta, P.C. Jha.
264 1 _aLondon :
_bSpringer London :
_bImprint: Springer,
_c2011.
300 _aXXIV, 548 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringer Series in Reliability Engineering,
_x1614-7839
505 0 _a1. Introduction -- 2. Software Reliability Growth Models -- 3. Imperfect Debugging / Testing Efficiency Software Reliability Growth Models -- 4. Testing-Coverage and Testing-Domain Models -- 5. Change Point Models -- 6 -- Unification of SRGM -- 7. Artificial Neural Networks Based SRGM -- 8. SRGM Using SDE -- 9. Discrete SRGM -- 10. Software Release Time Decision Problems Introduction -- 11. Allocation Problems at Unit Level Testing -- 12. Fault Tolerant Systems.
520 _aSoftware Reliability Assessment with OR Applications is a comprehensive guide to software reliability measurement, prediction, and control. It provides a thorough understanding of the field and gives solutions to the decision-making problems that concern software developers, engineers, practitioners, scientists, and researchers. Using operations research techniques, readers will learn how to solve problems under constraints such as cost, budget and schedules to achieve the highest possible quality level.   Software Reliability Assessment with OR Applications is a comprehensive text on software engineering and applied statistics, state-of-the art software reliability modeling, techniques and methods for reliability assessment, and related optimization problems. It addresses various topics, including: unification methodologies in software reliability assessment;  application of neural networks to software reliability assessment; software reliability growth modeling using stochastic differential equations; software release time and resource allocation problems; and optimum component selection and reliability analysis for fault tolerant systems. Software Reliability Assessment with OR Applications is designed to cater to the needs of software engineering practitioners, developers, security or risk managers, and statisticians. It can also be used as a textbook for advanced undergraduate or postgraduate courses in software reliability, industrial engineering, and operations research and management.
650 0 _aEngineering.
650 0 _aOperating systems (Computers).
650 0 _aSoftware engineering.
650 0 _aEngineering economy.
650 0 _aSystem safety.
650 1 4 _aEngineering.
650 2 4 _aQuality Control, Reliability, Safety and Risk.
650 2 4 _aPerformance and Reliability.
650 2 4 _aSoftware Engineering.
650 2 4 _aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
650 2 4 _aEngineering Economics, Organization, Logistics, Marketing.
700 1 _aPham, Hoang.
_eauthor.
700 1 _aGupta, A.
_eauthor.
700 1 _aJha, P.C.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9780857292032
830 0 _aSpringer Series in Reliability Engineering,
_x1614-7839
856 4 0 _uhttp://dx.doi.org/10.1007/978-0-85729-204-9
912 _aZDB-2-ENG
999 _c105159
_d105159