Memory Dump Analysis Anthology, Volume 4, Revised Edition

The new Revised Edition is available!

Available in PDF format from Software Diagnostics Services

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) written in July 2009 - January 2010. In addition to various corrections, this major revision updates relevant links and removes obsolete references. Some articles are preserved for historical reasons. Most of the content, especially memory analysis and trace and log analysis pattern languages, is still relevant today and for the foreseeable future. The output of WinDbg commands is also remastered to include color highlighting. Crash dump analysis pattern names are also corrected to reflect the continued expansion of the catalog. The fourth volume features:

- 15 new crash dump analysis patterns
- 13 new pattern interaction case studies
- 10 new trace analysis patterns
- 6 new Debugware patterns and case study
- Workaround patterns
- Updated checklist
- Fully cross-referenced with Volumes 1-3
- Memory visualization tutorials
- Memory space art

The primary audience for Memory Dump Analysis Anthology reference volumes is: software engineers developing and maintaining products on Windows platforms, technical support, escalation, and site reliability engineers dealing with complex software issues, quality assurance engineers testing software on Windows platforms, security and vulnerability researchers, reverse engineers, malware and memory forensics analysts. Trace and log analysis articles may be of interest to users of other platforms.

Product information:

  • Title: Memory Dump Analysis Anthology, Volume 4, Revised Edition
  • Authors: Dmitry Vostokov, Software Diagnostics Institute
  • Publisher: OpenTask (March 2021)
  • Language: English
  • Product Dimensions: 22.86 x 15.24
  • PDF: 423 pages
  • ISBN-13: 978-1912636242

Table of Contents

Back cover features memory space art image: Internal Process Combustion.