Five tips for speeding up graph generation in Understand.
Measuring Your Code
Learn about the available metrics in Understand, the ways to explore them, and how they can help you solve problems.
How Hard is it?
Understand is used to determine how much work it would take to create a database that reads files from a git repository.
Short-term memory overload while debugging
The decisions you make while thinking about code are far too complicated to trust to memory. Ken shows how Understand helps you not rely on short term memory and walk code in an organized fashion that misses nothing.
Hyper-Xref in Understand
If you want to make smarter, safer, and testable changes you need to know exactly where what you are changing will affect. Hyper-Xref technology, and the GUI and API/DevOps tools in Understand make you a safer, smarter engineer less likely to add bugs as you change code.
Just How Complex Is Your Project?
Jordan decides to write a Python script to find out exactly how many unique paths there are through his project.
Assessing Possible Changes in Source Code (a.k.a. My boss asked me to change this code)
Estimating the impact of changing a function in the open-source covid source code.
A visual tour of code complexity
A visual tour of how maintenance risk increases with cyclomatic complexity
Functional Decomposition Architectures FTW
A functional decomposition architecture is easy to make and can help you organize key information about your project.
Analyzing the Imperial College COVID simulation model source code
I used Understand’s CodeCheck feature to examine an influential COVID infection simulation program from Imperial College in the UK as it existed in March 2020 when it was being used to advise world leaders.