Decoupling level: A new metric for architectural maintenance complexity

Despite decades of research on software metrics, we still cannot reliably measure if one design is more maintainable than another. Software managers and architects need to understand whether their software architecture is\good enough", whether it is decaying over time and, if so, by how much. In this paper, we contribute a new architecture maintainability metric|Decoupling Level (DL)|derived from Baldwin and Clark's option theory. Instead of measuring how coupled an architecture is, we measure how well the software can be de-coupled into small and independently replaceable modules. We measured the DL for 108 open source projects and 21 industrial projects, each of which has multiple releases. Our main result shows that the larger the DL, the better the architecture. By\better" we mean: the more likely bugs and changes can be localized and separated, and the more likely that developers can make changes independently. The DL metric also opens the possibility of quantifying canonical principles of single responsibility and separation of concerns, aiding cross-project comparison and architecture decay monitoring.