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Titlebook: Software Failure Investigation; A Near-Miss Analysis Jan Eloff,Madeleine Bihina Bella Book 2018 Springer International Publishing AG 2018 S

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发表于 2025-3-21 18:30:22 | 显示全部楼层 |阅读模式
书目名称Software Failure Investigation
副标题A Near-Miss Analysis
编辑Jan Eloff,Madeleine Bihina Bella
视频videohttp://file.papertrans.cn/871/870908/870908.mp4
概述Investigates software failures in an operational environment through near-miss analysis;.Studies recent and major software failures of significant magnitude;.Provides a design of an architecture for a
图书封面Titlebook: Software Failure Investigation; A Near-Miss Analysis Jan Eloff,Madeleine Bihina Bella Book 2018 Springer International Publishing AG 2018 S
描述This book reviews existing operational software failure analysis techniques and proposes near-miss analysis as a novel, and new technique for investigating and preventing software failures. The authors provide details on how near-miss analysis techniques focus on the time-window before the software failure actually unfolds, so as to detect the high-risk conditions that can lead to a major failure. They detail how by alerting system users of an upcoming software failure, the detection of near misses provides an opportunity to collect at runtime failure-related data that is complete and relevant. They present a near-miss management systems (NMS) for detecting upcoming software failures, which can contribute significantly to the improvement of the accuracy of the software failure analysis. A prototype of the NMS is implemented and is discussed in the book. The authors give a practical hands-on approach towards doing software failure investigations by means of near-miss analysis that is ofuse to industry and academia
出版日期Book 2018
关键词Software failure; Failure analysis; Root-cause analysis; Digital forensics; Forensic investigation; Near-
版次1
doihttps://doi.org/10.1007/978-3-319-61334-5
isbn_softcover978-3-319-87054-0
isbn_ebook978-3-319-61334-5
copyrightSpringer International Publishing AG 2018
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发表于 2025-3-22 00:18:04 | 显示全部楼层
Jan Eloff,Madeleine Bihina Bellaematical theory and practice for matrix and tensor decomposi.This book presents the algorithms used to provide recommendations by exploiting matrix factorization and tensor decomposition techniques. It highlights well-known decomposition methods for recommender systems, such as Singular Value Decomp
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Jan Eloff,Madeleine Bihina Bellaf complex stochastic models. Research in the area of matrix-analytic and related methods seeks to discover underlying probabilistic structures intrinsic in such stochastic models, develop numerical algorithms for computing functionals (e.g., performance measures) of the underlying stochastic process
发表于 2025-3-22 09:56:18 | 显示全部楼层
Jan Eloff,Madeleine Bihina Bella solved by direct numerical methods. Focusing on models that can be described as cooperating Markov processes, which include queueing networks and stochastic Petri nets as special cases, it is shown that finding a global optimum for a nonconvex quadratic program is sufficient for determining a produ
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Jan Eloff,Madeleine Bihina Bellawhat model underlies an analysis procedure and what functionThis book enables readers who may not be familiar with matrices to understand a variety of multivariate analysis procedures in matrix forms. Another feature of the book is that it emphasizes what model underlies a procedure and what objecti
发表于 2025-3-23 03:25:06 | 显示全部楼层
eature of the book is that it emphasizes what model underlies a procedure and what objective function is optimized for fitting the model to data. The author believes that the matrix-based learning of such models and objective functions is the fastest way to comprehend multivariate data analysis. The
发表于 2025-3-23 08:02:38 | 显示全部楼层
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