Overview
Contains reprinted articles in full color (including more than 200 figures) from 13 volumes of Memory Dump Analysis Anthology related to pattern-oriented software diagnostics with additional comments showing the historical development of this autonomous and distinctive discipline over the last 14 years. In addition to 10 new articles, the third edition includes updated threads of thinking, the list of mathematical concepts, and notes' references.
Full Product Details
Author: Dmitry Vostokov ,
Software Diagnostics Institute
Publisher: Opentask
Imprint: Opentask
Edition: 3rd ed.
Dimensions:
Width: 14.00cm
, Height: 2.40cm
, Length: 21.60cm
Weight: 0.576kg
ISBN: 9781912636334
ISBN 10: 1912636336
Pages: 358
Publication Date: 31 December 2021
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, and author. He is the founder of pattern-oriented software diagnostics, forensics and prognostics discipline, and Software Diagnostics Institute. Vostokov has also authored more than 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 more than 25 years of experience in software architecture, design, development, and maintenance in a variety of industries including leadership, technical and people management roles. Dmitry also founded Syndromatix, Anolog.io, BriteTrace, DiaThings, Logtellect, OpenTask Iterative and Incremental Publishing, and Software Diagnostics Technology and Services (former Memory Dump Analysis Services) and Software Prognostics. In his spare time, he presents various topics on Debugging TV and explores Software Narratology, its further development as Narratology of Things and Diagnostics of Things (DoT), Software Pathology, and Quantum Software Diagnostics. His current areas of interest are theoretical software diagnostics and its mathematical and computer science foundations, application of formal logic, 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 cloud native computing, security, automation, functional programming, and applications of category theory to software development and big data.
