What is Code Refactoring?
Code refactoring is the process of improving code structures to enhance readability and understanding without changing its functionality. Application programming requires developers to write code blocks that interact with each other and with external systems so the application functions properly. Code refactoring makes these code blocks concise, precise, and clearly communicates the developer's intentions. It makes the codebase more maintainable and increases software performance.
What are the benefits of code refactoring?
Given the same functionality to build within an app, every developer can code a different solution, in a different style, but ultimately reach the same results. While an application user may not notice any difference, there can be a vast difference in how easy it is to maintain, update, modify, or scale each different solution.
Code refactoring produces software code that is well-written and clear, with best practices in structural design and interconnections. It does not introduce new features.
Maintainable codebase
Poorly written or complex source code can even confuse the original developer. With a code refactor, other software developers can quickly and easily determine what a piece of code is intended to do, thereby improving code readability and maintainability and reducing future technical debt.
Improves performance
Refactoring improves the performance of an application at both compile time and runtime. It makes the solution more scalable and reduces hardware demands.
Enforce coding standards
Refactoring code in line with style guides and coding conventions helps maintain consistency and structure across a company's code, ensuring all code adheres to standards.
Update to modern standards
Legacy code refactoring involves rewriting old code using modern programming languages, new libraries, language extensions, and current best coding practices. It can also condense code from multiple programming languages.
Add extensibility
Adding or updating APIs and interfaces through code refactoring makes an application more accessible to other external functions and applications.
What are some code refactoring techniques?
Refactoring is an iterative part of the modern software development process and is typically triggered during code reviews.
Code refactoring can require multiple refactoring techniques, depending on the goal of refactoring. Note that automated refactoring techniques tend to work best for simple or straightforward changes.
Abstraction
Abstraction moves common functions into reusable code blocks, which are then accessed via an interface only. Introducing best-practice abstraction reduces code size and error rates while improving traceability.
Composition
Composition breaks a block of code with multiple functions into discrete, single-function blocks. These discrete blocks are called in order from a separate part of the code. Improving composition reduces bugs and improves code reusability.
Simplification
Simplification involves refactoring a piece of code into simpler functions with minimal code where possible, and removing unused or deprecated paths. Simplification makes code easier to understand and faster to compile and run.
Removing generalization
While following conventions across codebases is typically desirable, in some instances it isn’t necessary. For a very small app or service, there may be no need to follow a code-heavy template that adds unnecessary abstraction layers or internal structure. Removing generalization reduces the code size of the software system and increases performance.
Reorganizing data
Reorganizing data includes replacing outdated data models and data manipulation techniques. By reorganizing data in the refactoring process, developers can significantly improve the performance of an application.
What to look for when refactoring a code base?
Signs that code may need refactoring are also known as code smells. Here are some common ones that indicate code quality issues and a need for refactoring.
Complex logic
If an experienced developer cannot tell what a particular piece of existing code is doing, it is a prime candidate for refactoring by restructuring and simplification.
Code duplication
Similar or duplicated code blocks and functions can often be condensed into a discrete unit and reused through abstraction.
Long code blocks
Long code blocks and classes can often be decomposed into smaller parts in refactored code. Note that classes are specific to certain programming languages.
Unused or deprecated code
Legacy code or unimplemented functionality can be removed from new code updates. An old copy of code under version control can be kept for future use or reference.
Excessive coupling
Excessive coupling, where multiple parts of the code utilize the same data or function, can lead to propagation bugs. Propagation bugs require code changes in multiple parts of the codebase. By clearly separating functionality, this reduces the chance of propagation bugs and speed-to-remediate bugs.
Design pattern problems
Some applications suit specific design patterns and programming paradigms, such as model-view-controller or object-oriented programming. However, code may be written to “fit in” to one of these patterns or paradigms, even if it is fundamentally the wrong choice. These types of refactorings may require significant changes.
Other problems with design patterns or programming paradigms include unnecessary or incorrect use of features, which can have a side effect of introducing bugs. These are common programming flaws, particularly with less experienced developers.
How can AWS support your code refactoring requirements?
Amazon Q Developer is a generative AI–powered assistant for software development. It is available for download for JetBrains, VS Code, Visual Studio, Eclipse, and the Command line, and can support and automate the code refactoring process. You can ask natural language questions about code dependencies and static code analyzers, request automatic code analysis, identify code smells, and perform code refactoring to specifications. Amazon Q Developer provides direct assistance in your IDE throughout the development process.
The AWS IDE Toolkits are a set of open-source plugins that integrate AWS services directly into popular IDEs like Visual Studio, VS Code, IntelliJ, and PyCharm. With these toolkits and automated tools, you can manage AWS resources, deploy applications, and debug code without leaving your familiar development environment.
AWS Transform is an agentic AI service designed to accelerate the modernization of .NET and mainframe codebases. AWS Transform deploys specialized AI agents to automate complex tasks, including code assessments, analysis, refactoring techniques, decomposition, dependency mapping, validation, and transformation planning, to dramatically reduce your modernization project timelines.
Get started with code refactoring on AWS by creating a free account today.