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Contains revised, edited, cross-referenced, and thematically organized selected articles from Software Diagnostics Institute (DumpAnalysis.org + TraceAnalysis.org) and Software Diagnostics Library (former Crash Dump Analysis blog, DumpAnalysis.org/blog) about software diagnostics, debugging, crash dump analysis, software trace and log analysis, malware analysis and memory forensics written in November 2011 - May 2014 for software engineers developing and maintaining products on Windows (WinDbg) and Mac OS X (GDB) platforms, quality assurance engineers testing software, technical support and…mehr

Produktbeschreibung
Contains revised, edited, cross-referenced, and thematically organized selected articles from Software Diagnostics Institute (DumpAnalysis.org + TraceAnalysis.org) and Software Diagnostics Library (former Crash Dump Analysis blog, DumpAnalysis.org/blog) about software diagnostics, debugging, crash dump analysis, software trace and log analysis, malware analysis and memory forensics written in November 2011 - May 2014 for software engineers developing and maintaining products on Windows (WinDbg) and Mac OS X (GDB) platforms, quality assurance engineers testing software, technical support and escalation engineers dealing with complex software issues, security researchers, malware analysts, reverse engineers, and memory forensics analysts. The seventh volume features: - 66 new crash dump analysis patterns - 46 new software log and trace analysis patterns - 18 core memory dump analysis patterns for Mac OS X and GDB - 10 malware analysis patterns - Additional unified debugging pattern - Additional user interface problem analysis pattern - Additional pattern classification including memory and log acquisition patterns - Additional .NET memory analysis patterns - Introduction to software problem description patterns - Introduction to software diagnostics patterns - Introduction to general abnormal structure and behavior patterns - Introduction to software disruption patterns - Introduction to static code analysis patterns - Introduction to network trace analysis patterns - Introduction to software diagnostics report schemes - Introduction to elementary software diagnostics patterns - Introduction to patterns of software diagnostics architecture - Introduction to patterns of disassembly, reconstruction and reversing - Introduction to vulnerability analysis patterns - Fully cross-referenced with Volume 1, Volume 2, Volume 3, Volume 4, Volume 5, and Volume 6
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Autorenporträt
Dmitry Vostokov is an internationally recognized expert, speaker, educator, scientist, and author. He is the founder of pattern-oriented software diagnostics, forensics and prognostics discipline, 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, applications of category theory to software development and big data, and diagnostics of artificial intelligence.