How can you improve your algorithm documentation?

1 Choose a format

The first step to improve your algorithm documentation is to choose a format that suits your needs and preferences. There are different formats for documenting algorithms, such as pseudocode, flowcharts, UML diagrams, natural language, or code comments. Each format has its own advantages and disadvantages, depending on the level of detail, readability, and complexity of the algorithm. You should choose a format that is consistent, easy to follow, and compatible with your tools and platforms.

2 Describe the inputs and outputs

The next step to improve your algorithm documentation is to describe the inputs and outputs of the algorithm. The inputs are the data or parameters that the algorithm requires to perform its task, while the outputs are the results or outcomes that the algorithm produces. You should specify the type, format, range, and constraints of the inputs and outputs, as well as any assumptions or preconditions that the algorithm relies on. You should also explain how the inputs and outputs relate to the problem or goal that the algorithm solves or achieves.

3 Explain the steps and logic

The third step to improve your algorithm documentation is to explain the steps and logic of the algorithm. The steps are the actions or operations that the algorithm performs to transform the inputs into the outputs, while the logic is the reasoning or rationale behind the steps. You should explain the steps and logic in a clear and concise way, using appropriate terminology, notation, and examples. You should also highlight any key decisions, loops, branches, or subroutines that the algorithm uses or calls.

4 Include test cases and scenarios

The fourth step to improve your algorithm documentation is to include test cases and scenarios that demonstrate the performance and functionality of the algorithm. Test cases are specific examples of inputs and outputs that the algorithm can handle, while scenarios are realistic situations or contexts that the algorithm can apply to. You should include test cases and scenarios that cover different cases, such as normal, boundary, extreme, or exceptional cases. You should also explain how the test cases and scenarios verify or validate the algorithm's correctness, efficiency, and robustness.

5 Follow a style guide

The fifth step to improve your algorithm documentation is to follow a style guide that defines the rules and conventions for writing and formatting the documentation. A style guide helps you maintain consistency, clarity, and quality throughout the documentation. It also helps you avoid common errors, such as spelling, grammar, punctuation, or syntax errors. You can use an existing style guide, such as the IEEE standard for algorithm description, or create your own style guide based on your preferences and requirements.

6 Update and review

The final step to improve your algorithm documentation is to update and review it regularly. As you develop, test, modify, or optimize your algorithm, you should also update and review your documentation to reflect the changes and improvements. You should also review your documentation periodically to check for accuracy, completeness, and relevance. You can use tools, such as spell checkers, grammar checkers, or code analyzers, to help you detect and correct any errors or inconsistencies in your documentation.

7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?