There are some static analyzer metrics as well as metrics you can obtain yourself. These metrics relate to the cost of maintaining code: - cyclomatic complexit

There are some static analyzer metrics as well as metrics you can obtain yourself. These metrics relate to the cost of maintaining code: - cyclomatic complexity - statement length, function length - number of singletons / global instances - dead code - duplicated code (intelliJ has a good duplicate detector that anonymizes variables and ignores whitespace and comments). - number of known functions/types per file (coupling) - number of commits per file (git-effort from git-extras) Some of them are tricky to obtain. Making a simple script that parses import statements and outputs a DOT file with a digraph is useful to map dependencies, which is good to explain coupling.