Dependency inversion principle

Dependency inversion principle is a design principle that suggests high-level modules should not depend on low-level modules, but rather both should depend on abstractions. In other words, instead of your code being tightly coupled to concrete implementations like it's 2005, you define interfaces (or abstract classes if you're a masochist) for those dependencies and then inject them like sweet, sweet dependency injection.

How to use it in a sentence

  • I was going to just instantiate the database connection directly in my OrderProcessor class, but then I remembered the dependency inversion principle and decided to inject an IDbConnection instead, so I can swap it out for a mock during testing and not have to deal with a real database. You know, like a professional.

  • So then the junior dev was like "why are we injecting this logger interface instead of just newing up a concrete logger?" and I was all "sit down kid, let me introduce you to a little thing called the dependency inversion principle", and then I made them read a bunch of Uncle Bob articles as penance.

If you actually want to learn more...

  • The Dependency Inversion Principle - This article provides a clear explanation of the dependency inversion principle, along with code examples and a discussion of its benefits.

  • Inversion of Control Containers and the Dependency Injection pattern - Martin Fowler dives deep into inversion of control containers and dependency injection, explaining how they relate to the dependency inversion principle and their role in creating loosely coupled code.

  • Dependency Injection in .NET - For all you .NET developers out there, this official Microsoft documentation covers how to use the built-in dependency injection container in .NET Core to apply the dependency inversion principle in your applications.

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