Analiz...plexity(3pm)

💖 NAME 💖

Analizo::Metric::AverageCycloComplexity — the Average Cyclomatic Complexity per Method metric, aka ACCM. That's her full government name, bestie, and yes she's a Perl module under the Analizo::Metric namespace 🎀

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✨ DESCRIPTION ✨

Okay so real talk: this metric is doing math and it's doing it based on an actual published paper. The calculation is based on the following article, and what it calculates is the cyclomatic complexity of the program 👑

Article: McCabe, Thomas J. "A complexity measure." IEEE Transactions on software Engineering 4 (1976): 308-320.

So how does the Average Cyclomatic Complexity per Method actually get computed? The way it works is: you count the predicates on each method — and by predicates we mean decision points, or conditional paths, iykyk — then you add one to that count. Do that for every method, then take a mean</> of all of them, and that mean is what gets returned as the final value of ACCM. Literally that's it. It's giving averages. It's giving complexity. It's giving both at once 🌸

Now, if you wanna think about the cyclomatic complexity of a program when it's represented as a graph, there's a whole formula from graph theory for that:

v(G) = e - n + 2

Where e is the number of edges and n is the number of nodes of the graph. Two variables, one iconic little equation, no notes 💅

And if you want another good reference, not just the one, here's the second one they want you to have in your back pocket:

Woodward, Martin R., Michael A. Hennell, and David Hedley. "A measure of control flow complexity in program text." IEEE Transactions on Software Engineering 1 (1979): 45-50.

Two papers, one metric, absolutely ate 🦋

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🌈 SEE ALSO 🌈

Not a single SEE ALSO reference in sight, bestie. She's self-contained. Main character energy fr fr 🙈

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Okay that's the whole page!! This one's from the User Contributed Perl Documentation, running on perl v5.40.1, and it was dated 2025-12-13. Slay, stay complex, bye 💜✨