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# I will have to refactor ! And now ? Refactoring Techniques in Java

Drowning in bloated Java legacy code? Stop letting technical debt slow your sprints. Master practical, SOLID-based refactoring techniques to build scalable, maintainable architecture.

- **Speakers:** Kamila Santos
- **Event:** WeAreDevelopers LIVE
- **Published:** September 14, 2023
- **Duration:** 41:17
- **URL:** https://www.wearedevelopers.com/videos/660-i-will-have-to-refactor-and-now-refactoring-techniques-in-java

## Summary

Refactoring software effectively requires modifying its internal structure to simplify comprehension and enable cheaper future changes, all without altering external behavior. Modern distributed codebases inevitably accumulate technical debt through code smells like duplicate logic, massive bloated classes, and irrelevant comments. By directly addressing these indicators, developers significantly improve overall software design, reduce the time spent deciphering legacy business logic, and drastically accelerate both bug resolution and subsequent feature delivery. However, implementing structural improvements requires navigating expected trade-offs, such as temporarily slower delivery cycles, the necessity of rewriting existing test suites, and the risk of generating extensive merge conflicts on active repository branches.

Choosing the optimal moment to perform structural code improvements is just as critical as the methodology applied. While long-run refactoring targets massive monolithic system overhauls over an extended period, smaller interventions like preparatory refactoring explicitly clear a path, making upcoming features easier to implement. Integrating these practices directly into ongoing code reviews serves as the ideal line of defense, intercepting poor structure and anti-patterns before they ever reach production. Additionally, practicing routine garbage collection on dead code and refactoring for continuous understanding when navigating unfamiliar legacy logic ensures a project remains highly readable and collaborative for incoming team members.

In robust object-oriented environments like Java, engineering teams can rely on specific techniques deeply rooted in SOLID guidelines, particularly the Single Responsibility Principle. Strategies such as the extract method, extract class, and split phase concepts effectively isolate decoupled tasks into heavily focused, dedicated components. Grouping disparate variables into parameter objects and encapsulating public variables behind contextual getters and setters tightly secures internal operational states. Implementing advanced architectural adjustments—such as replacing standard object constructors with validated factory methods, pulling duplicated subclass methods up to parent super-interfaces, and decomposing convoluted nested conditionals—guarantees that structural code cleanups natively support scalable, clean modern design patterns.

**Keywords:** java refactoring techniques, software design patterns, single responsibility principle, preparatory refactoring, code smell identification, extract method pattern, parameter object encapsulation, split phase refactoring, factory method implementation, dead code elimination, technical debt management, solid principles, legacy codebase maintenance, decompose conditional expression, merge conflict prevention, pull up method

## Chapters

1. **Definition and primary motivations for code refactoring** (00:02) — Refactoring improves software design, simplifies understanding, and accelerates feature development without altering behavior.
1. **Strategic moments to perform code refactoring** (02:35) — Ideal times for refactoring include feature preparation, code comprehension, long-running improvement sprints, and code reviews.
1. **Potential disadvantages and risks of refactoring code** (08:27) — Refactoring can increase feature delivery time, cause complex merge conflicts, and require extensive test rewriting.
1. **Identifying code smells as indicators for refactoring** (10:21) — Code duplication, excessive method lengths, and outdated comments serve as primary signals that code requires improvement.
1. **Refactoring techniques for functions and variables** (12:47) — Extracting methods and variables simplifies complex expressions and groups related logic to avoid code duplication.
1. **Improving data access with encapsulation and parameter objects** (15:19) — Encapsulating public variables and grouping related parameters into objects enhances visibility control and method signatures.
1. **Separating distinct responsibilities using the split phase technique** (18:09) — Dividing complex methods with multiple processing steps into distinct functions improves readability and adheres to single responsibility.
1. **Restructuring responsibilities via class extraction and middleman removal** (20:52) — Creating new classes for specific responsibilities and removing unnecessary delegate layers streamlines object hierarchies and interactions.
1. **Refining method locations and removing unused code** (23:08) — Moving misplaced functions to appropriate classes and deleting dead code maintains relevant responsibilities and a clean codebase.
1. **Transforming primitive values into specific reference objects** (25:08) — Replacing simple value representations with dedicated reference classes allows for encapsulated validations and specialized behaviors.
1. **Decomposing complex conditionals and introducing assertions** (26:22) — Breaking down nested conditional statements and utilizing assertions clarifies decision logic and validates state during development.
1. **Replacing simple constructors with customized factory methods** (28:36) — Using static factory methods instead of basic constructors enables expressive initialization and complex attribute validation before instantiation.
1. **Managing inheritance through method pulling and hierarchy adjustments** (30:02) — Extracting common subclass methods to parent classes and collapsing unnecessary hierarchical layers prevents duplication and over-engineering.
1. **Combining refactoring techniques with best programming practices** (33:43) — Applying various refactoring methods alongside clean code and SOLID principles yields a robust and maintainable software architecture.
1. **Prioritizing refactoring targets in different project contexts** (35:44) — Selecting which code to refactor depends on whether the goal is immediate feature delivery or a dedicated improvement sprint.
1. **Practical benefits of isolating business validations with split phase** (37:10) — Extracting business rules into distinct functions enables logic reuse across the project and simplifies comprehensive method structures.
1. **Parameter simplification using change value to reference patterns** (38:38) — Grouping numerous recurring parameters into a unified reference object improves clarity and reduces method signature duplication across classes.

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