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020 _a9784431545651
_9978-4-431-54565-1
024 7 _a10.1007/978-4-431-54565-1
_2doi
035 _ato000545753
040 _aSpringer
_cSpringer
_dRU-ToGU
050 4 _aQA276-280
072 7 _aPBT
_2bicssc
072 7 _aPD
_2bicssc
072 7 _aMAT029000
_2bisacsh
082 0 4 _a519.5
_223
100 1 _aYamada, Shigeru.
_eauthor.
_9455019
245 1 0 _aSoftware Reliability Modeling
_helectronic resource
_bFundamentals and Applications /
_cby Shigeru Yamada.
260 _aTokyo :
_bSpringer Japan :
_bImprint: Springer,
_c2014.
300 _aX, 90 p. 60 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aSpringerBriefs in Statistics,
_x2191-544X
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.
650 0 _aStatistics.
_9124796
650 0 _aSoftware engineering.
_9566225
650 0 _aMathematical statistics.
_9566264
650 1 4 _aStatistics.
_9124796
650 2 4 _aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
_9410653
650 2 4 _aStatistics and Computing/Statistics Programs.
_9303277
650 2 4 _aSoftware Engineering.
_9566285
710 2 _aSpringerLink (Online service)
_9143950
773 0 _tSpringer eBooks
830 0 _aSpringerBriefs in Statistics,
_9446803
856 4 0 _uhttp://dx.doi.org/10.1007/978-4-431-54565-1
912 _aZDB-2-SMA
999 _c403861