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

## Data reversal
Sometimes we notice that data values are in a different order than expected. We call this pattern **data reversal**. By data values, we mean some variable parts of a specific repeated message, such as the address of some structure or object. Data reversal may happen for one message type:

# Data reversal
Sometimes we notice that data values are in a different order than expected. We call this pattern **data reversal**. By data values, we mean some variable parts of a specific repeated message, such as the address of some structure or object. Data reversal may happen for one message type:

This lesson introduces the following analysis patterns: data reversal, data selector, intrinsic ID, missing data, and random data.

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

Reversal, Selector, Intrinsic ID, Missing, Random

Data reversal