Dmitry Vostokov, Software Diagnostics Institute

Broschiertes Buch

Memory Dump Analysis Anthology, Volume 17

Beschreibung

This reference volume consists of revised, edited, cross-referenced, and thematically organized selected articles from Software Diagnostics and Observability 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 from 15 April 2024 to 14 November 2025 for software engineers developing and maintaining products on Windows platforms, quality assurance engineers testing software, technical support, DevOps and DevSecOps, escalation and site reliability engineers dealing with complex software issues, security and vulnerability researchers, reverse engineers, malware and memory forensics analysts, data science and ML/AI researchers and engineers. This volume is fully cross-referenced with volumes 1 - 16 and features: - 6 new crash dump analysis patterns - 11 new software trace and log analysis patterns - Introduction to pattern-oriented observability - Introduction to software morphology - Introduction to geometric theory of traces and logs - Introduction to pattern-oriented intelligence and AI - Introduction to agentic narratology and workflow diagnostic pattern language - Introduction to algebra of prompting and context management pattern language - Logics of memory dump and trace analysis - Introduction to pattern-oriented system logic - Introduction to ontological diagnostics - Machine learning as memory dump analysis - The stomach metaphor for AI and pattern metabolism - OS internals and category theory - Introduction to pattern category theory - Meta-diagnostic and categorical unification of software diagnostics and digital pathology - A Lego model as an autoencoder and Lego disassembly as tokenization - Memoidealism as a post-computational philosophy of AI - Lists of recommended books The primary audience for Memory Dump Analysis Anthology reference volumes (Diagnomicon) is software engineers developing and maintaining products on Windows and Linux platforms, technical support, escalation, and site reliability engineers dealing with complex software issues, quality assurance engineers testing software, security and vulnerability researchers, reverse engineers, malware and memory forensics analysts, data scientists, ML and AI researchers and engineers.

Autor

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 (DA+TA: DumpAnalysis.org + TraceAnalysis.org). 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 (OpenTask.com) and Software Diagnostics Technology and Services (former Memory Dump Analysis Services) PatternDiagnostics.com. In his spare time, he explores Software Narratology, Software Pathology, Software Morphology, Quantum Software Diagnostics, and Pattern-Oriented AI. 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.

Produktdetails

• Verlag: Opentask
• Seitenzahl: 322
• Erscheinungstermin: 9. November 2025
• Englisch
• Abmessung: 229mm x 152mm x 21mm
• Gewicht: 599g
• ISBN-13: 9781912636174
• ISBN-10: 1912636174
• Artikelnr.: 75920402