description Adam Thornwill will tackle understading legacy code bases with behavioral analysis methods.
Teaser
Many codebases contain code that is overly complicated, hard to understand and hence expensive to change and evolve. Prioritizing technical debt is a hard problem as modern systems might have millions of lines of code and multiple development teams — no-one has a holistic overview. In addition, there's always a trade-off between improving existing code versus adding new features so we need to use our time wisely. So what if we could mine the collective intelligence of all contributing programmers and start to make decisions based on information from how the organization actually works with the code?
In this presentation you get an introduction to behavioral code analysis which builds on version-control data to uncover the behavior and patterns of the development organization. A behavioral code analysis helps you prioritize the parts of your system that benefit the most from improvements, so that you can balance short- and long-term goals guided by data. The specific examples are from real-world C++ codebases like the .NET Core runtime, Protobuf, TensorFlow, and more. All analyses are completely automated and demonstrated using the CodeScene tool. This new perspective on software development will change how you view code.
We will try to use Goto Meeting again. You will get the chance to ask your questions directly through chat or voice.