Memory Dump Analysis Anthology, Volume 3, Revised Edition - Vostokov, Dmitry; Software Diagnostics Institute
42,99 €
inkl. MwSt.
Versandkostenfrei*
Versandfertig in 1-2 Wochen
payback
21 °P sammeln
  • Broschiertes Buch

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 October 2008 - June 2009. 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. Crash dump analysis pattern names are…mehr

Andere Kunden interessierten sich auch für
Produktbeschreibung
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 October 2008 - June 2009. 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. Crash dump analysis pattern names are also corrected to reflect the continued expansion of the catalog. Compared to the second revised volume, the third revised volume features: - 15 new crash dump analysis patterns; - 29 new pattern interaction case studies; - Trace analysis patterns; - Fully cross-referenced with Volume 1 and Volume 2; - New appendixes. 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.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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.