Dmitry Vostokov, Software Diagnostics Institute

Memory Dump Analysis Anthology Collector's Edition, Volume 1

• Gebundenes Buch

Produktbeschreibung

This full color reference volume consists of revised, edited, cross-referenced, and thematically organized articles from Software Diagnostics Institute (DumpAnalysis.org) and Software Diagnostics Library (former Crash Dump Analysis blog, DumpAnalysis.org/blog) written in August 2006 - December 2007. It is useful for: - Software engineers developing and maintaining products on Windows platforms; - Technical support and escalation engineers dealing with complex software issues; - Quality assurance engineers testing software on Windows platforms; - Security researchers, reverse engineers, malware and memory forensics analysts; - Some articles will be of interest to a general Windows user.

Produktdetails

• Verlag: Opentask
• Seitenzahl: 722
• Erscheinungstermin: 20. April 2015
• Englisch
• Abmessung: 235mm x 157mm x 50mm
• Gewicht: 1684g
• ISBN-13: 9781906717018
• ISBN-10: 190671701X
• Artikelnr.: 42751819

Autorenporträt

Dmitry Vostokov is an internationally recognized expert, speaker, educator, scientist, inventor, and author. He is the founder of pattern-oriented software diagnostics, forensics and prognostics discipline (Systematic Software Diagnostics), 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.