To understand how abstraction affects how easy it is to keep software up to date, we can look at some simple studies. Here are a few ways to do this:
Code Complexity: Check some numbers that show how complicated the code is, like cyclomatic complexity, before and after using abstraction. If the numbers go down, it usually means the code is easier to work with.
Change Frequency: Keep an eye on how often different parts of the code are changed. If low-abstraction code gets changed a lot, there might be problems with it.
Developer Feedback: Ask developers what they think! You can do this through surveys or interviews. Their thoughts on how easy the code is to read and change can give helpful information.
Bug Rates: Watch how many bugs are reported before and after using abstraction. This can help us see if abstraction leads to fewer mistakes in the code.
All these methods can help us understand how helpful abstraction really is in the real world.
To understand how abstraction affects how easy it is to keep software up to date, we can look at some simple studies. Here are a few ways to do this:
Code Complexity: Check some numbers that show how complicated the code is, like cyclomatic complexity, before and after using abstraction. If the numbers go down, it usually means the code is easier to work with.
Change Frequency: Keep an eye on how often different parts of the code are changed. If low-abstraction code gets changed a lot, there might be problems with it.
Developer Feedback: Ask developers what they think! You can do this through surveys or interviews. Their thoughts on how easy the code is to read and change can give helpful information.
Bug Rates: Watch how many bugs are reported before and after using abstraction. This can help us see if abstraction leads to fewer mistakes in the code.
All these methods can help us understand how helpful abstraction really is in the real world.