Memory Dump Analysis Anthology, Volume 12

Author:   Dmitry Vostokov ,  Software Diagnostics Institute
Publisher:   Opentask
ISBN:  

9781912636129


Pages:   180
Publication Date:   28 December 2021
Format:   Paperback
Availability:   Available To Order   Availability explained
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Memory Dump Analysis Anthology, Volume 12


Overview

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.

Full Product Details

Author:   Dmitry Vostokov ,  Software Diagnostics Institute
Publisher:   Opentask
Imprint:   Opentask
Dimensions:   Width: 15.20cm , Height: 1.20cm , Length: 22.90cm
Weight:   0.340kg
ISBN:  

9781912636129


ISBN 10:   1912636123
Pages:   180
Publication Date:   28 December 2021
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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Author Information

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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