Articles on Code Quality

Churn vs. Complexity vs. Code Coverage

Churn vs. Complexity analysis is a great way to find insights about the maintainability of a project. Two of my favorite authors have written great articles about the Churn vs. Complexity graph:

This two-dimensional graph can be very useful in finding the files that are the hardest to maintain in your application. In this article I will explain:

  1. How you can calculate these metrics and use them in your legacy project
  2. How code coverage metrics can guide your technical debt's collection efforts
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How to Calculate Tech Debt Using Skunk on GitHub Actions

Right before my talk at RubyConf Australia, I worked on a way to make it easy for anyone to run skunk in their Ruby projects. In order to do that I decided to use GitHub Actions. It's a powerful service by GitHub and it's quite easy to set up.

This article is about the process that I followed and how you can use it in your own application.

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Escaping The Tar Pit: Introducing Skunk v0.3.2 at RubyConf 2019

This year I had the honor to speak at RubyConf in Nashville. It was my second time attending the conference and first time as a speaker. I talked about skunk, a gem to calculate the StinkScore of a module or set of modules.

Since its inception, skunk has changed quite a bit based on real usage in our productized service for Rails upgrades. As a matter of fact, the night before my talk I realized there was a BIG error in our formula.

Here is a description of the problem and solution.

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Introducing Skunk: Combine Code Quality and Coverage to Calculate a Stink Score

Two weeks ago I had the opportunity to speak at Solidus Conf 2019. I presented Escaping the Tar Pit for the first time and I got to talk about a few metrics that we can use to quickly assess code quality in any Ruby project.

In this article I'd like to talk about Skunk: A Stink Score Calculator! I'll explain why we need it, how it works, and the roadmap for this new tool.

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RubyCritic v4.2.0: Now with SimpleCov Support

Every time we evaluate a new project we follow a well-defined process to decide whether we take it or not. We analyze its dependencies; its code coverage; and its code quality to determine the amount of tech debt in a project. We have been using CodeClimate to assess code quality and SimpleCov to assess code coverage.

In my previous article I wrote about free and open source Ruby gems we can use to assess code quality for any Ruby or Rails project. After writing that article, I found that RubyCritic was really interesting and its community quite active, so I thought it was a good idea to add SimpleCov support to it:

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