[{"_1":2,"_42":-5,"_43":-5},"loaderData",{"_3":4,"_10":11,"_40":-5,"_41":-5},"root",{"_5":-5,"_6":-5,"_7":-5,"_8":9},"user","shoppingCartId","toast","locale","en","routes/_store+/_readers+/email_author.$slug/route",{"_12":13,"_39":-5},"book",{"_14":15,"_16":17,"_18":19,"_20":21,"_22":23,"_24":25},"id","Z2lkOi8vbGVhbnB1Yi9TdG9yZTo6Qm9va1Byb2R1Y3QvNjMyNTM","title","Memory Dump Analysis Anthology, Volume 12","state","published","contactAuthorMethod","email","aboutText","

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. It is fully cross-referenced with volumes 1 - 11.

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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