Memory Dump Analysis Anthology

Author:   Dmitry Vostokov
Publisher:   Opentask
ISBN:  

9781908043191


Pages:   400
Publication Date:   15 November 2011
Format:   Paperback
Availability:   In stock   Availability explained
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Memory Dump Analysis Anthology


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Overview

Contains revised, edited, cross-referenced, and thematically organized selected DumpAnalysis.org blog posts about memory dump and software trace analysis, software troubleshooting and debugging written in November 2010 - October 2011 for software engineers developing and maintaining products on Windows platforms, quality assurance engineers testing software on Windows platforms, technical support and escalation engineers dealing with complex software issues, and security researchers, malware analysts and reverse engineers. The sixth volume features: - 56 new crash dump analysis patterns including 14 new .NET memory dump analysis patterns - 4 new pattern interaction case studies - 11 new trace analysis patterns - New Debugware pattern - Introduction to UI problem analysis patterns - Introduction to intelligence analysis patterns - Introduction to unified debugging pattern language - Introduction to generative debugging, metadefect template library and DNA of software behavior - The new school of debugging - .N ET memory dump analysis checklist - Software trace analysis checklist - Introduction to close and deconstructive readings of a software trace - Memory dump analysis compass - Computical and Stack Trace Art - The abductive reasoning of Philip Marlowe - Orbifold memory space and cloud computing - Memory worldview - Interpretation of cyberspace - Relationship of memory dumps to religion - Fully cross-referenced with Volume 1, Volume 2, Volume 3, Volume 4, and Volume 5

Full Product Details

Author:   Dmitry Vostokov
Publisher:   Opentask
Imprint:   Opentask
Dimensions:   Width: 15.20cm , Height: 1.80cm , Length: 22.90cm
Weight:   0.449kg
ISBN:  

9781908043191


ISBN 10:   1908043199
Pages:   400
Publication Date:   15 November 2011
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In stock   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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Dmitry Vostokov is an internationally recognized expert, speaker, educator, scientist, inventor, and author. He is the founder of pattern-oriented software diagnostics, forensics and prognostics discipline (Systematic Software Diagnostics), and Software Diagnostics Institute. Vostokov has also authored more than 50 books on software diagnostics, anomaly detection and analysis, software and memory forensics, root cause analysis and problem solving, memory dump analysis, debugging, software trace and log analysis, reverse engineering, and malware analysis. He has more than 25 years of experience in software architecture, design, development, and maintenance in a variety of industries including leadership, technical and people management roles. Dmitry also founded Syndromatix, Anolog.io, BriteTrace, DiaThings, Logtellect, OpenTask Iterative and Incremental Publishing, and Software Diagnostics Technology and Services (former Memory Dump Analysis Services) and Software Prognostics. In his spare time, he presents various topics on Debugging TV and explores Software Narratology, its further development as Narratology of Things and Diagnostics of Things (DoT), Software Pathology, and Quantum Software Diagnostics. His current areas of interest are theoretical software diagnostics and its mathematical and computer science foundations, application of formal logic, artificial intelligence, machine learning and data mining to diagnostics and anomaly detection, software diagnostics engineering and diagnostics-driven development, diagnostics workflow and interaction. Recent interest areas also include cloud native computing, security, automation, functional programming, and applications of category theory to software development and big data.

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