Understanding Code: Static vs Dynamic Dependencies
The idea I would like to defend now is that when it comes to understand and maintain a program, one need to focus mostly on the static dependencies, the ones found in the source code. Knowing dynamic dependencies (who calls who at runtime) can make sense for example to profile performance or to fix some particular bugs. But most of the time invested to understand a program is generally spent in browsing static dependencies.
The problem is that this doesn't really hold for applications that were written with a container in place. Let us take Rhino Service Bus as an example of that. If you try to follow the static dependencies in the code, you will not be able to understand much. There aren't many.
If we will look at things like error handling, administration tasks or time outs, all of them are key parts of the way certain aspects of RSB behave, we will see that there is never a static reference to them. Instead, they are pulled in as a set of generic components that know how to integrate into the bus.
A significant part of the actual behavior in RSB is dynamically configured by RhinoServiceBusFacility, and even here, I felt that this class was getting too many responsibilities, so we broke that apart to more dynamically composed parts. The configuration syntax, for example, is driven by the facility and by the BusConfigurationAware components (of which we currently have three).
Focusing on the static dependencies in RSB wouldn't be very useful, not a lot is happening there.