I don't really agree with the reasons given, even though my conclusions are the same. The main reason why research code becomes a tangled mess is due to the intrinsic nature of research. It is highly iterative work where assumptions keep being broken and reformed depending on what you are testing and working on at any given time. Moreover, you have no idea on advance where your experiments are going to take you, thus giving no opportunity to structure the code in advance so it is easy to change.
To make a concrete example, imagine writing an application where requirements changed unpredictably every day, and where the scope of those changes is unbounded.
The closest to "orderly" I think research code can become would be akin to Enterprise style coding, where literally everything is an interface and all implementation details can be changed in all possible ways. We already know how those codebases tend to end..
To make a concrete example, imagine writing an application where requirements changed unpredictably every day, and where the scope of those changes is unbounded.
The closest to "orderly" I think research code can become would be akin to Enterprise style coding, where literally everything is an interface and all implementation details can be changed in all possible ways. We already know how those codebases tend to end..