General trace and log analysis patterns allow the application of uniform diagnostics and anomaly detection across diverse software environments. It includes troubleshooting, debugging, describing, and explaining problems and incidents on various operating systems and platforms. It is also helpful in recording network traces, malware, general data, narratives, and text and image analysis (space-like narratology). This course, organized as a pattern language dictionary and cross-referenced with classification, explains and teaches more than 200 traces and log analysis patterns.

A Guide to Learning Software Trace and Log Analysis Patterns

## Adjoint space
Sometimes we need memory reference information that is not available in software traces and logs, for example, to see the pointer dereferences, to follow pointers and linked structures. In such cases, memory dumps saved during logging sessions may help. In the case of process memory dumps, we can even have several step dumps. We may force complete or kernel memory dumps after saving a log file. We call such a pattern **adjoint space**:

# Adjoint space
Sometimes we need memory reference information that is not available in software traces and logs, for example, to see the pointer dereferences, to follow pointers and linked structures. In such cases, memory dumps saved during logging sessions may help. In the case of process memory dumps, we can even have several step dumps. We may force complete or kernel memory dumps after saving a log file. We call such a pattern **adjoint space**:

This lesson introduces the following analysis patterns: adjoint space, de Broglie trace duality, state dump, trace presheaf, and state and event.

Getting Started

Activity

Block and Data

Error and Large Scale

Message 1

Message 2

Trace as a Whole

Trace Set

Vocabulary, Memory, Code and Text

Conclusion

Index

Adjoint, Duality, Dump, Presheaf, State and Event

Adjoint space