Memory Dump Analysis Anthology, Volume 12

Dmitry Vostokov, Software Diagnostics Institute

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English

Opentask
28 December 2021

Pathology; Organic chemistry; Image processing

Series: Memory Dump Analysis Anthology (Diagnomicon)

This reference volume consists of 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, root cause analysis, debugging, crash and hang dump analysis, software trace and log analysis written in December 2018 - November 2019 for software engineers developing and maintaining products on Windows and Linux platforms, quality assurance engineers testing software, technical support, escalation and site reliability engineers dealing with complex software issues, security researchers, reverse engineers, malware and memory forensics analysts. This volume is fully cross-referenced with volumes 1 - 11 and features:

- 6 new crash dump analysis patterns with selected downloadable example memory dumps;

- 2 pattern interaction case studies including Python crash dump analysis;

- 16 new software trace and log analysis patterns;

- Introduction to software pathology;

- Introduction to graphical representation of software traces and logs;

- Introduction to space-like narratology as application of trace and log analysis patterns to image analysis;

- Introduction to analysis pattern duality;

- Introduction to machine learning square and its relationship with the state of the art of pattern-oriented diagnostics;

- Historical reminiscences on 10 years of trace and log analysis patterns and software narratology;

- Introduction to baseplate representation of chemical structures;

- WinDbg notes;

- Using C++ as a scripting tool;

- List of recommended Linux kernel space books;

- Volume index of memory dump analysis patterns;

- Volume index of trace and log analysis patterns.

By: Dmitry Vostokov, Software Diagnostics Institute
Imprint: Opentask
Dimensions: Height: 229mm, Width: 152mm, Spine: 12mm
Weight: 340g
ISBN: 9781912636129
ISBN 10: 1912636123
Series: Memory Dump Analysis Anthology (Diagnomicon)
Pages: 180
Publication Date: 28 December 2021
Audience: General/trade , ELT Advanced
Format: Paperback
Publisher's Status: Active

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.