Introduction to Pattern-Driven Software Problem Solving de Dmitry Vostokov

Introduction to Pattern-Driven Software Problem Solving

Dmitry Vostokov

Memory Dump Analysis Services

en Limba Engleză Paperback – 19 iun 2011

The full transcript of Memory Dump Analysis Services Webinar on pattern-driven software troubleshooting, debugging and maintenance. Topics include: A Short History of DumpAnalysis.org; Memory Dump Analysis Patterns; Troubleshooting and Debugging Tools (Debugware) Patterns; Software Trace Analysis Patterns; From Software Defects to Software Behavior; Workaround Patterns; Structural Memory Patterns; Memory Analysis Domain Pattern Hierarchy; New Directions.

Citește tot Restrânge

Notă biografică

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.