Mathematical Concepts in Software Diagnostics and Software Data Analysis: Three levels of explanation, with terminology and practical value (Paperback or Softback)

Mathematical concepts provide additional viewpoints for software diagnostics and software data analysis. We can consider a trace as a sequence of messages, a collection of activities, or a structure of relationships. Changing the viewpoint allows us to ask different questions about the same software evidence.

In Mathematical Concepts in Software Diagnostics and Software Data Analysis, we introduce 85 concepts and explore their diagnostic interpretations. These range from graphs, equivalence relations, and partially ordered sets to sheaves, category theory, and ideas from mathematical physics. We consider how such concepts help us describe software behavior, compare execution structures, organize observations, and reason about incomplete evidence.

Each concept is explained at three levels: an intuitive explanation requiring no mathematical knowledge, an undergraduate treatment, and a graduate perspective. Every two-page entry includes an illustration, explanations of terminology, readings of formulas in ordinary language, and a discussion of practical value and applicability. Readers can begin with a concrete software example and return to the mathematical details as their understanding develops.

The concepts are arranged alphabetically for reference. Appendices provide mathematical foundations, classify the concepts, and connect them to their origins in analysis patterns and theoretical software diagnostics. Throughout the book, we distinguish formal constructions, structural analogies, and heuristic metaphors.

This guide is intended for software diagnosticians, developers, and researchers who want to extend their mathematical vocabulary and explore its use in pattern-oriented software data analysis.

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 (DA+TA: DumpAnalysis.org + TraceAnalysis.org). 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 (OpenTask.com) and Software Diagnostics Technology and Services (former Memory Dump Analysis Services) PatternDiagnostics.com. In his spare time, he explores Software Narratology, Software Pathology, Software Morphology, Quantum Software Diagnostics, and Pattern-Oriented AI. 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.