Advertisement
Published in:
2024 | OriginalPaper | Chapter
8. Debugging Architecture Patterns
Author : Dmitry Vostokov
Published in: Python Debugging for AI, Machine Learning, and Cloud Computing
Publisher: Apress
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
Abstract
You now have enough background material that I can introduce debugging architecture patterns in this chapter. These are solutions to common problems of how to proceed with debugging. These patterns answer the most important questions of where, when, and how we debug and what we debug based on the debugging analysis patterns. The diagnostics and debugging “questions” pattern language thinking originated from memory and trace acquisition patterns. There are many ways to answer such questions and propose debugging strategies and methods; sometimes, you may even need to combine different approaches. However, there are the most important decisions to make before any debugging is done, and we name them debugging architecture patterns vs. debugging design patterns, which can be many for the particular architecture pattern. All debugging architecture patterns can be combined to form pattern sequences and pattern networks to solve complex problems of software behavior.