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

## Exception stack trace 
Often the analysis of software traces starts with a search for short textual patterns, like a failure, an exception code, or simply the word “exception.” In addition, some software components can record their own exceptions and exceptions that were propagated to them, including full-stack traces. It is all too common in `.NET` and Java environments. Here is a synthetic example based on real software traces:

# Exception stack trace 
Often the analysis of software traces starts with a search for short textual patterns, like a failure, an exception code, or simply the word “exception.” In addition, some software components can record their own exceptions and exceptions that were propagated to them, including full-stack traces. It is all too common in `.NET` and Java environments. Here is a synthetic example based on real software traces:

This lesson introduces the following analysis patterns: exception stack trace, false positive error, hidden error, periodic error.

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

Exception Stack, False Positive, Hidden, Periodic

Exception stack trace