Many times, when looking at applications we have written or that we see around in repositories throughout
the internet, we get this feeling that whatever we’re reading has a certain complexity too it. Sometimes
this complexity is manegeable and expected. Sometime it’s not. Actually, very frequently, code can be difficult
to understand and we usually describe such code as being overcomplicated, for example.
But it’s not just our understanding of written code that suffers. As expected, if code is more complex, it
will also require more effort on the part of the computer to execute. And while efficient code might not
necessarily be easy to understand, there is indeed such a possibility as code that is hard for humans to read
and hard for hardware to compute.
However, in order to try to make things simpler and, especially, in order to coordinate within teams what
is acceptable and what isn’t in terms of complexity, we need something that can help us measure complexity.
There are, of course, many metrics that can be used. In this article we’ll talk about cyclomatic complexity.
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