Memory Dump Analysis Anthology, Volume 12

This reference volume consists of revised, edited, cross-referenced, and thematically organized articles from Software Diagnostics Institute and Software Diagnostics Library (former Crash Dump Analysis blog) about software diagnostics, root cause analysis, debugging, crash and hang dump analysis, software trace and log analysis written in December 2018 - November 2019.

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Compared to the volume 11, the volume 12 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

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.

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Dmitry Vostokov

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 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.

Episode 213

An Interview with Dmitry Vostokov

Table of Contents

Preface 7

About the Author 9

PART 1: Crash Dump Analysis Patterns 11

Active Space 11

Stack Overflow (Insufficient Memory) 13

Subsystem Modules 17

Region Profile 18

Region Clusters 19

Source Stack Trace 23

PART 2: Pattern Interaction 25

Abridged Dump, C++ Exception, Incorrect Stack Trace, Stack Trace Collection, Exception Stack Trace and Not My Version 25

Python Crash Dump Analysis Case Study 29

PART 3: Software Trace Analysis Patterns 37

Critical Point 37

Drone Message 39

Minimal Trace 41

Polytrace 43

Trace String 44

Equivalent Messages 47

Cartesian Trace 48

Message Annotations 50

CoTrace (CoLog, CoData) 51

Moduli Trace 54

Trace Similarity 57

Explanation Trace 59

Split Message 60

Phase Transition 62

Message Flow 65

Trace Constants 66

PART 4: Software Diagnostics, Root Cause Analysis, Troubleshooting, and Debugging 67

Introducing Software Pathology 67

10 Years of Trace and Log Analysis Patterns 69

Log’s Loxels and Trace Message’s Mexels Graphical Representation of Software Traces and Logs 74

Analysis Pattern Duality 80

10 Years of Software Narratology 81

Application of Trace and Log Analysis Patterns to Image Analysis: Introducing Space-like Narratology 86

Machine Learning Square and Software Diagnostics Institute Roadmap 88

PART 5: Fun with Debugging, Crash Dumps, and Traces 91

Debugging Slang 91

SANTA 91

Call Center 91

Fu 91

ID 91

Clear Message 92

10-Year Challenge 93

Space Matters 97

Loop with a Bug 98

Dalkey 98

Ominous PID 98

Blue Screen at 32K Feet 99

Music for Debugging 100

Machine Learning 101

PART 6: Art and Photography 103

Crash Dump Collection 103

Failure Code 104

Automated Debugging 105

Real and Artificial Bugs 106

Two Windows 107

Tracing Tools 108

Log 109

Threads 110

Window 111

Linux Trace 112

Logs 113

Stop Code 114

Monolithic Architecture Leak 115

Visual Studios 116

Data Structures 117

Early Data Visualization 118

Early Data Science, Clustering, and Histogramming 119

Doing Exercise 0 in Sports Club 120

Burger Trace Frames and Adjont Space of Chips 121

Patterns of Macro and Micro 122

Convex Programming Layout 123

PART 7: Book Covers 125

Writing Bad Code: Software Defect Construction, Simulation and Modeling of Software Bugs 125

Software Internals for Machine Learning 126

PART 8: Miscellaneous 127

Selected Crashes from My Computers 127

WinDbg Notes 129

Quotes 135

In a Chemical Laboratory 136

Historical Reminiscences 137

Baseplate Representation of Chemical Structure 138

What I’m passionate about? 148

C++ as a Scripting Tool 152

In Memory 155

The Road to Linux Kernel Space 156

Appendix 159

Stack Trace Patterns 159

Volume Index 161

Memory Analysis Patterns 161

Trace and Log Analysis Patterns 172

Index of WinDbg Commands 179

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