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

**(Select all that apply.)** Which patterns from the list below should you consider in case of incomplete problem descriptions?

(Select all that apply.) Which patterns from the list below should you consider in case of incomplete problem descriptions?

**(Select all that apply.)** What are the two analysis patterns that are useful in the event of dynamic memory leaks?

(Select all that apply.) What are the two analysis patterns that are useful in the event of dynamic memory leaks?

What analysis pattern describes a use case in which you match known bugs’ descriptions with your current log?

What analysis pattern describes a use case in which you match known bugs’ descriptions with your current log?

Here's a short quiz to test your understanding.

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

Quiz