Re: detectcycles: A source code dependency cycle checker
On Sunday, 17 June 2018 at 20:20:48 UTC, Mario Kröplin wrote: I did not mention it in the README, but the tred filter used in https://code.dlang.org/packages/depend complains about cyclic dependencies. I am currently working on a branch, where the transitive reduction and the corresponding warnings are built in. While this tool is for D only, it also allows to visualize and to check dependencies. Very nice project. The PlantUML output is a brilliant idea. In my case, I am mostly analyzing projects that are NOT in D, so I need a general purpose tool. I'm putting it through practical runs this morning and discovering areas of improvement. For example, in Java, one need not import dependencies within the same package, so I need to take a list of "uses" regex patterns instead of just having a single one, so that things like "@Autowired" from Spring can be detected as well.
Re: detectcycles: A source code dependency cycle checker
I did not mention it in the README, but the tred filter used in https://code.dlang.org/packages/depend complains about cyclic dependencies. I am currently working on a branch, where the transitive reduction and the corresponding warnings are built in. While this tool is for D only, it also allows to visualize and to check dependencies.
detectcycles: A source code dependency cycle checker
https://github.com/vnayar/detectcycles I made a small configurable tool to detect software source dependency cycles that is configurable to use for most languages. By default, C++, Java, and D are supported, but add new languages is as simple as adding a few lines to JSON configuation file. I often work on very large software projects in various different languages, and sometimes you walk onto projects that were large long before you got there. Part of my work involves re-architecting and breaking apart monolithic code bases, and knowing which components have been tied together as a block is useful for a quick analysis and helps show me where I need to focus my attention. Hopefully other people find it useful as well.
