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Titlebook: Software Reliability Modelling and Identification; Sergio Bittanti Book 1988 Springer-Verlag Berlin Heidelberg 1988 complexity.modeling.so

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書(shū)目名稱(chēng)Software Reliability Modelling and Identification
編輯Sergio Bittanti
視頻videohttp://file.papertrans.cn/872/871018/871018.mp4
叢書(shū)名稱(chēng)Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Software Reliability Modelling and Identification;  Sergio Bittanti Book 1988 Springer-Verlag Berlin Heidelberg 1988 complexity.modeling.so
描述This volume contains five tutorial papers based on the lectures given at the intensive course on Software Reliability Modelling and Identification in Como (Italy) from September 2 to 4, 1987. The purpose of this volume is to present some important models used to forecast the reliability growth during the software testing process, and discuss the practical applicability of models in the management of software techniques for model identification from data (parameter estimation, complexity selection, validation, etc.). The basic reliability concepts are also introduced for those readers who are not familiar with the reliability ideas. Besides the basic models, a new family of models is introduced in the book. This family is flexible enough to describe a variety of different reliability trends. Particular attention is given to the problem of the provision of tools to assist the user in selecting an appropriate model in a particular situation.
出版日期Book 1988
關(guān)鍵詞complexity; modeling; software; software engineering; testing; validation
版次1
doihttps://doi.org/10.1007/BFb0034284
isbn_softcover978-3-540-50695-9
isbn_ebook978-3-540-46072-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 1988
The information of publication is updating

書(shū)目名稱(chēng)Software Reliability Modelling and Identification影響因子(影響力)




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https://doi.org/10.1007/BFb0034284complexity; modeling; software; software engineering; testing; validation
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Application of basic and logarithmic poisson execution time models in software reliability measuremf other published models. Predictive validity is established using sets of failure data from a varied group of software projects and two different parameter estimation methods. The characteristics and advantages and disadvantages of the two with respect to each other are discussed.
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S. Bittanti,P. Bolzern,E. Pedrotti,M. Pozzi,R. Scattoliniontent of these two first volumes. .Most of the chapters end with a set of exercises, to many of which either the full solution or hints on how 978-94-007-9484-9978-94-007-2546-1Series ISSN 0925-0042 Series E-ISSN 2214-7764
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ependent. Thus, the pertaining deformation process and its space- and timeevolutions are expected to be stochastic in character. In this context, the establishment of the connection between the response behaviour of the individual elements of the microstructure, their interactions, and the observabl
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