'5 Metrics to Track when Refactoring your Codebase' by AlexOmeyer coding refactoring
Link your issues tool to codeShare knowledge within the team about ticking bombs in the codebasePrioritise issues and track progress.Generally, you don’t want to see too many TODOs sitting idle in your codebase.
It’s a sign things need improvement but aren’t actively addressed. When your codebase evolves, the context of TODOs might get lost, making it hard to understand the original problem and, more importantly, solve the TODO. Therefore, use a refactoring moment to remove idle TODOs from your codebase or organise your TODOs in a way you can see the context and resolve them quicker later.Many codebases suffer from failing unit tests. As long as the percentage of failed unit tests stays relatively low, this won't threaten your codebase's quality. Though, keep an eye out on the number of failed tests. It’s a red flag for starting a code refactoring week and also measuring the success of your code refactoring. You want to reduce the number of failed tests as close to zero before starting a new sprint.The code coverage metric is closely linked to measuring the number of failed unit tests. However, to measure the success of your code refactoring, you also want to know how the quality of your codebase increases. One way to measure the quality of your codebase is by measuring the code coverage, as it tells you how much you can trust your codebase. If tests are written correctly, a higher code coverage often results in higher code quality. No codebase is perfect, yet, try to get close to that 100% code coverage mark. If you don't have the resources to fully cover your codebase with tests, make sure to cover the most critical paths throughout your code. This will help you to increase trust in your code.Don’t forget to write, update, or change tests when refactoring code. You don’t want to improve your code but decrease the code coverage. In other words, refactoring and code testing go hand in hand.Measuring duplication is not a high-level metric you should aim for. However, it’s still a valuable metric to watch for when refactoring code. When codebases grow, people don't always fully understand the codebase. Therefore, they might not know a helper library or function already exists and create a new one with the same functionality. The same often happens for modules in larger codebases. First, try to identify duplicate code and write down the locations to measure refactoring success. You can revisit this list to measure how many lines of duplicated code have been removed from the codebase when you've finished code refactoring.If you consider codebase refactoring, don’t jump straight in without having a plan. You need to set goals and boundaries for your refactoring process to make it easier to measure success.you want to tackle during this codebase refactoring sprint. If some tickets are missing, make sure to track them or create issues. For instance,Once you’ve identified the issues you want to tackle, s. For example, you want to remove three duplicate modules and increase code coverage by 15%. Now you have collected all issues and set targets, it’s time to share knowledge about the codebase and why specific issues need to be tackled. You can explain the context and impact of issues on the project if you leave them untackled. It’s also a great moment to share knowledge about new parts of the codebase, so all developers are up to speed.. You won’t be able to finish all issues during a refactoring week or whatever timeline you’ve set. Therefore, make sure to tackle the highest impact organisational issues first before committing to less important issues.collect all metrics data and verify it against the goals you’ve set. It’s a great moment to discuss what went wrong and how you can improve your codebase refactoring process in the future. Don’t expect everything to go well. Mistakes can happen, and that’s fine.No matter how you approach measuring refactoring success, make sure not to use these metrics to evaluate programmer performance or decide promotion or anything like that. Refactoring code aims to solve codebase and organisational issues early on. If you leave them untreated, they might escalate into more significant problems that can require more time and resources to solve. This is also one of the main arguments for organising code refactoring. In startups, the pressure is always on to deliver new features. However, as a team, you sometimes have to take a step back to evaluate the code and refactor it to maintain its quality
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