Introduction to Pattern-Driven Software Problem Solving

The full transcript of Software Diagnostics Services (former 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

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.