000 04040nam a22003735i 4500
001 309523
003 MX-SnUAN
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008 150903s2014 ja | o |||| 0|eng d
020 _a9784431545651
_99784431545651
024 7 _a10.1007/9784431545651
_2doi
035 _avtls000363928
039 9 _a201509031025
_bVLOAD
_c201405070350
_dVLOAD
_y201402211200
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aQA276-280
100 1 _aYamada, Shigeru.
_eautor
_9349806
245 1 0 _aSoftware Reliability Modeling :
_bFundamentals and Applications /
_cby Shigeru Yamada.
264 1 _aTokyo :
_bSpringer Japan :
_bImprint: Springer,
_c2014.
300 _ax, 90 páginas 60 ilustraciones
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aSpringerBriefs in Statistics,
_x2191-544X
500 _aSpringer eBooks
505 0 _aChapter 1 Introduction to Software Reliability Modeling and Its Applications -- 1. Introduction -- 2. Definitions and Software Reliability Model -- 3. Software Reliability Growth Modeling -- 4. Imperfect Debugging Modeling -- 4.1 Imperfect debugging model with perfect correction rate -- 4.2 Imperfect debugging model with introduced faults -- 5. Software Availability Modeling -- 5.1 Model description -- 5.2 Software availability measures -- 6. Application of Software Reliability Assessment -- 6.1 Optimal software release problem -- 6.2 Statistical software testing-progress control -- 6.3 Optimal testing-effort allocation problem. Chapter 2 Recent Developments in Software Reliability Modeling -- 1. Introduction -- 2. Human Factor Analysis -- 3. Stochastic Differential Equation Modeling -- 4. Discrete NHPP Modeling -- 5. Quality-Oriented Software Management Analysis. .
520 _aSoftware reliability is one of the most important characteristics of software product quality. Its measurement and management technologies during the software product life cycle are essential to produce and maintain quality/reliable software systems. Part 1 of this book introduces several aspects of software reliability modeling and its applications. Hazard rate and nonhomogeneous Poisson process (NHPP) models are investigated particularly for quantitative software reliability assessment. Further, imperfect debugging and software availability models are discussed with reference to incorporating practical factors of dynamic software behavior. Three software management problems are presented as application technologies of software reliability models: the optimal software release problem, the statistical testing-progress control, and the optimal testing-effort allocation problem. Part 2 of the book describes several recent developments in software reliability modeling and their applications as quantitative techniques for software quality/reliability measurement and assessment. The discussion includes a quality engineering analysis of human factors affecting software reliability during the design review phase, which is the upper stream of software development, as well as software reliability growth models based on stochastic differential equations and discrete calculus during the testing phase, which is the lower stream. The final part of the book provides an illustration of quality-oriented software management analysis by applying the multivariate analysis method and the existing software reliability growth models to actual process monitoring data.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9784431545644
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-4-431-54565-1
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c309523
_d309523