Overview
Debugging TV and Frames was a series in which each episode featured some facet of debugging, memory dump, and software trace analysis on Windows, Mac OS X, and Android platforms in 8 slides in 8 minutes, including a live WinDbg (Windows) or GDB demonstration (Mac OS X, Linux) plus an extra 8 minutes to ask questions. This full-color book commemorates the 10th anniversary of Debugging.TV Frames, a ""show"" that ran for several years. It collects slides from 44 episodes for easy reference with removed old ads (at that time, it proposed !Ad WinDbg command). The digital edition is free for download from debugging.tv, including the original presentations, recordings, and additional materials.
Full Product Details
Author: Dmitry Vostokov
Publisher: Opentask
Imprint: Opentask
Dimensions:
Width: 27.90cm
, Height: 1.60cm
, Length: 21.60cm
Weight: 0.798kg
ISBN: 9781912636860
ISBN 10: 1912636867
Pages: 246
Publication Date: 21 May 2025
Audience:
General/trade
,
General
Format: Paperback
Publisher's Status: Active
Availability: Available To Order
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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.
