Cyclomatic complexity

Cyclomatic complexity is a software metric that measures the number of linearly independent paths through a program's source code. It's a fancy way of saying "how many different ways can this code execute" and is often used as a proxy for code complexity and maintainability (because apparently writing simple code is too hard for some 10X engineers).

How to use it in a sentence

  • I was going to refactor that gnarly function, but then I saw its cyclomatic complexity score was higher than Elon Musk's ego, so I decided to just rewrite it from scratch in Rust.

  • My manager keeps nagging me about the cyclomatic complexity of my code, but I told him that's just the price you pay for my genius-level abstractions and design patterns cribbed straight from Gang of Four.

If you actually want to learn more...

  • Cyclomatic Complexity: What, Why, and How to Reduce It - This article breaks down what cyclomatic complexity actually measures and some practical tips to keep it under control, but ain't nobody got time for that.

  • Cyclomatic Complexity - The Wikipedia article on cyclomatic complexity dives into the mathematical theory behind it, for those engineers who like to pretend they're still math majors.

  • Complexity Metrics - Cyclomatic Complexity - More info on using cyclomatic complexity as a metric, along with benchmarks in case you want to see how your spaghetti code stacks up. Spoiler alert: not well.

Note: the Developer Dictionary is in Beta. Please direct feedback to skye@statsig.com.

Join the #1 experimentation community

Connect with like-minded product leaders, data scientists, and engineers to share the latest in product experimentation.

Try Statsig Today

Get started for free. Add your whole team!

What builders love about us

OpenAI OpenAI
Brex Brex
Notion Notion
SoundCloud SoundCloud
Ancestry Ancestry
At OpenAI, we want to iterate as fast as possible. Statsig enables us to grow, scale, and learn efficiently. Integrating experimentation with product analytics and feature flagging has been crucial for quickly understanding and addressing our users' top priorities.
OpenAI
Dave Cummings
Engineering Manager, ChatGPT
Brex's mission is to help businesses move fast. Statsig is now helping our engineers move fast. It has been a game changer to automate the manual lift typical to running experiments and has helped product teams ship the right features to their users quickly.
Brex
Karandeep Anand
President
At Notion, we're continuously learning what our users value and want every team to run experiments to learn more. It’s also critical to maintain speed as a habit. Statsig's experimentation platform enables both this speed and learning for us.
Notion
Mengying Li
Data Science Manager
We evaluated Optimizely, LaunchDarkly, Split, and Eppo, but ultimately selected Statsig due to its comprehensive end-to-end integration. We wanted a complete solution rather than a partial one, including everything from the stats engine to data ingestion.
SoundCloud
Don Browning
SVP, Data & Platform Engineering
We only had so many analysts. Statsig provided the necessary tools to remove the bottleneck. I know that we are able to impact our key business metrics in a positive way with Statsig. We are definitely heading in the right direction with Statsig.
Ancestry
Partha Sarathi
Director of Engineering
We use cookies to ensure you get the best experience on our website.
Privacy Policy