Synopsis
This book is a supplemental volume of selected articles with 170 full color illustrations from Memory Dump Analysis Anthology: revised, edited, cross-referenced and thematically organized volumes of selected DumpAnalysis.org blog posts about debugging, modern crash dump and software trace analysis, conceptual physicalist and memory space art, speculative metaphysics of memory dump worldview (memoidealism) written in July 2009 - October 2010 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, security and defect researchers, reverse engineers and malware analysts, computer security and cyber warfare intelligence professionals, computer scientists, conceptual digital artists and philosophers. Unique in its breadth, depth, and scope, it offers unprecedented insight into the world of software behavior and draws profound engineering, scientific, artistic, and metaphysical implications.
About the Author
Dmitry Vostokov is an internationally recognized expert, speaker, educator, scientist, inventor, and author. He founded the pattern-oriented software diagnostics, forensics, and prognostics discipline (Systematic Software Diagnostics) and Software Diagnostics and Observability Institute. Vostokov has also authored over 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 over 30 years of experience in software architecture, design, development, and maintenance in various industries, including leadership, technical, and people management roles. Dmitry founded OpenTask Iterative and Incremental Publishing and Software Diagnostics Technology and Services (former Memory Dump Analysis Services). In his spare time, he explores Software Narratology and Quantum Software Diagnostics. His interest areas are theoretical software diagnostics and its mathematical and computer science foundations, application of formal logic, semiotics, 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 functional programming, cloud native computing, monitoring, observability, visualization, security, automation, applications of category theory to software diagnostics, development and big data, and diagnostics of artificial intelligence.
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