Gain insights into diagnostic techniques and anomaly detection with over 200 trace and log analysis patterns, applicable across various software environments, operating systems, and platforms.

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**:

We can also analyze logs and memory dumps together, for example, to follow pointer data further in memory space.

There is also a reverse situation in which we use logs to see past data changes before a memory snapshot (paratext memory analysis pattern).

# De Broglie trace duality
Recently we found a correlation between software trace with high [statement density and current](https://www.educative.io/courses/guide-learning-software-trace-log-analysis-patterns/quotient-singleton-sorted-density-current) of [periodic error](https://www.educative.io/courses/guide-learning-software-trace-log-analysis-patterns/exception-stack-false-positive-hidden-periodic) with uniform [error distribution](https://www.educative.io/courses/guide-learning-software-trace-log-analysis-patterns/value-message-distribution-powerset-thread) and process heap memory leak suspected from memory dump analysis. If we metaphorically view periodic
errors as “frequency” and the size of a heap as “mass,” we may see that the
growth of “frequency” correlates with the growth of “mass” and vice versa.
Since frequency is inversely proportional to wavelength, we see a metaphorical analog to Louis de Broglie’s wave-particle duality. In general, as we already pointed in the discussion of narrativity and spatiality of
software execution artifacts (see also software trace and memory dump analysis seminar), software traces/logs and memory dumps can be seen as “dual” to each other according (metaphorically again) to de Broglie’s “duality of the laws of nature”. So we name this analysis pattern **De Broglie trace duality** since some memory dump regions can be considered of a
general trace nature. Our correlation can be depicted in this diagram:

Recently we found a correlation between a software trace with a high [statement density and current](https://www.educative.io/courses/guide-learning-software-trace-log-analysis-patterns/quotient-singleton-sorted-density-current) of [periodic error](https://www.educative.io/courses/guide-learning-software-trace-log-analysis-patterns/exception-stack-false-positive-hidden-periodic) with uniform [error distribution](https://www.educative.io/courses/guide-learning-software-trace-log-analysis-patterns/value-message-distribution-powerset-thread) and process heap memory leak suspected from memory dump analysis. If we metaphorically view periodic errors as “frequency” and the size of a heap as “mass,” we may see that the growth of “frequency” correlates with the growth of “mass” and vice versa. Since frequency is inversely proportional to wavelength, we see a metaphorical analog to Louis de Broglie’s wave-particle duality. In general, as we already pointed out in the discussion of narrativity and spatiality of software execution artifacts (see also software trace and memory dump analysis seminar), software traces/logs and memory dumps can be seen as “dual” to each other according (metaphorically again) to de Broglie’s “duality of the laws of nature”. So we name this analysis pattern **de Broglie trace duality** since some memory dump regions can be considered to be of a general trace nature. Our correlation can be depicted in this diagram:

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

De Broglie trace duality