📔
intro-to-python
  • An Introduction to Programming in Python (for Business Students)
  • exercises
    • Data Flow Diagramming Exercise
    • Developer Collaboration Exercise
    • README
    • "Web App" Exercise
      • checkpoints
        • Checkpoint 5: Bootstrap Layout
        • Checkpoint 4: Submitting Data from Web Forms
        • Checkpoint 3: Rendering HTML Pages
        • Checkpoint 1: Routing
        • Checkpoint 2: Modular Organization
      • "Web App" Exercise - Further Exploration
    • hello-world
      • "Hello World (Local)" Exercise
      • "Hello World (Local w/ Version Control)" Exercise
      • "Hello World (Colab)" Exercise
    • "Interface Capabilities" Exercise
    • "Continuous Integration 1, 2, 3" Exercise
    • "Web Service" Exercise
      • "Web Service" Exercise - Further Exploration
    • "Testing 1, 2, 3" Exercise
    • "Command-line Computing" Exercise
      • "Command-line Computing" Exercise
      • Professor Rossetti's Mac Terminal Configuration
      • Command-line Computing Exercise
    • "Codebase Cleanup" Assignment
    • "List Comprehensions" Exercise
    • "Groceries" Exercise
      • Python Datatypes (a.k.a. "Groceries") Exercise
      • Python Datatypes (a.k.a. "Groceries") Exercise
    • "Rock, Paper, Scissors" Exercise
      • "Rock, Paper, Scissors" Exercise
    • README
    • "Monthly Sales Predictions" Exercise
    • Setting up your Local Development Environment
    • "Chart Gallery" Exercise
    • "Run the App" Exercise
    • "Web Requests" Exercise
    • "API Client" Exercise
    • "Custom Functions" Exercise
    • Process Diagramming Exercise
  • notes
    • python
      • packages
        • The bigquery Package
        • The PySimpleGUI Package
        • The dotenv Package
        • The matplotlib Package
        • The requests Package
        • The altair Package
        • The gspread Package
        • The PyMySQL Package
        • The psycopg2 Package
        • The selenium Package
        • The seaborn Package
        • The pytest Package
        • The SpeechRecognition Package
        • The flask Package
        • The pandas Package
        • The spotipy Package
        • The pipenv Package
        • The nltk Package
        • The sqlalchemy Package
        • The pymongo Package
        • The plotly Package
        • The BeautifulSoup Package
        • The sendgrid Package
        • The fpdf Package
        • The autopep8 Package
        • The tweepy Package
        • The twilio Package
        • The tkinter Package
      • Python Datatypes Overview
        • Numbers
        • Classes
        • Dates and Times
        • Strings
        • None
        • Dictionaries
        • Booleans
        • Lists
        • Class Inheritance
      • Control Flow
      • Python Modules
        • The webbrowser Module
        • The time Module
        • The csv Module
        • The sqlite3 Module
        • The itertools Module
        • The json Module
        • The math Module
        • The os Module
        • The statistics Module
        • The random Module
        • The pprint Module
        • The datetime Module
        • The collections Module
      • Printing and Logging
      • Comments
      • Syntax and Style
      • Functions
      • Variables
      • Errors
      • Docstrings
      • File Management
      • User Inputs
      • Debugging
    • clis
      • The git Utility
      • Heroku, and the heroku Utility
      • Anaconda
      • The chromedriver Utility
      • The brew Utility (Mac OS)
      • The pdftotext Utility
      • The python Utility
      • The pip Utility
    • Software
      • Software Licensing
      • Software Documentation
      • Software Ethics
      • Software Testing Overview
      • Application Programming Interfaces (APIs)
      • Software Version Control
      • Software Refactoring Overview
    • devtools
      • The VS Code Text Editor
      • Code Climate
      • Travis CI
      • GitHub Desktop Software
      • Git Bash
      • Google Colab
    • Information Systems
      • Computer Networks
      • Processes
      • Datastores
      • Information Security and Privacy
      • People
    • Technology Project Management
      • Project Management Tools and Techniques
      • The Systems Development Lifecycle (SDLC)
    • hardware
      • Servers
    • Environment Variables
  • projects
    • "Executive Dashboard" Project
      • testing
      • "Exec Dash" Further Exploration Challenges
    • The Self-Directed (a.k.a "Freestyle") Project
      • "Freestyle" Project - Demonstration
      • "Freestyle" Project - Implementation (TECH 2335 Version)
      • "Freestyle" Project - Implementation
      • "Freestyle" Project Proposal
      • plan
    • "Robo Advisor" Project
      • Robo Advisor Project - Automated Testing Challenges
      • "Robo Advisor" Further Exploration Challenges
    • "Shopping Cart" Project
      • "Shopping Cart" Project - Automated Testing Challenges
      • "Shopping Cart" Further Exploration Challenges
      • "Shopping Cart" Project Checkpoints
  • License
  • Exam Prep
  • units
    • Unit 4B: User Interfaces and Experiences (Bonus Material)
    • Unit 5b: Databases and Datastores
    • Module 1 Review
    • Unit 7b: Processing Data from the Internet (Bonus Material)
    • Unit 9: Software Products and Services
    • Unit 8: Software Maintenance and Quality Control
    • Unit 7: Processing Data from the Internet
    • Unit 6: Data Visualization
    • Unit 5: Processing CSV Data
    • Unit 4: User Interfaces and Experiences
    • Unit 3: Python Datatypes
    • Unit 12: Project Presentations
    • Unit 2: Python Language Overview
    • Unit 11: Project Implementation Sprint
    • Unit 1: The Python Development Environment
    • Unit 10: Software Planning, Analysis, and Design
    • Unit 0: Onboarding
    • Unit 5B: Advanced Data Analytics
  • Contributor's Guide
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On this page
  • Benefits of Refactoring
  • Maintainability
  • Quality
  • Extension
  • When to Refactor
  • Examples
  • Removing Duplication
  • Simplifying Terms

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  1. notes
  2. Software

Software Refactoring Overview

The term refactoring refers to a process of simplifying an application's source code with the goal of removing duplication. During the refactoring process, developers strive to adhere to the "DRY" principle, which stands for "Don't Repeat Yourself".

Benefits of Refactoring

Business benefits of refactoring are mainly in terms of cost and time savings, and quality assurance/control. Main benefits include:

  • Improved Maintainability

  • Improved Readability

  • Improved Quality

  • Decreased Complexity

Maintainability

Refactoring can reduce the need to maintain the same or similar code in multiple different places. This makes the software easier and more efficient to maintain.

Quality

Refactoring decreases the probability of future errors relating to a developer forgetting to update one of the duplicative code locations.

Extension

Refactored code is more efficient to extend in the sense that a developer need only make a change in one place instead of multiple similar or duplicative places.

When to Refactor

Even though refactoring is beneficial, sometimes refactoring too early in the development process is not. Your professor recommends you focus on writing code to achieve desired functionality before turning your focus to refactoring the code you have written. Maybe make comments for yourself during the development process such as TODO: refactor. However, in general, if you find yourself writing the same or similar code two or three times during the development process, consider refactoring at that time. Or if you need to make an update to your code and find the need to make the same or similar update in multiple places, consider refactoring at that time.

Examples

Each of these examples of refactoring allow a program to use consistent print formatting without duplication, and allow a developer to change that formatting in a single place and have it apply to all of its uses.

Removing Duplication

Before refactoring:

print("--------------------")
print("MY MESSAGE")
print("--------------------")

print("--------------------")
print("MY MESSAGE")
print("--------------------")

print("--------------------")
print("MY MESSAGE")
print("--------------------")

After refactoring:

def print_message():
    print("--------------------")
    print("MY MESSAGE")
    print("--------------------")

print_message()

print_message()

print_message()

Simplifying Terms

Before refactoring:

print("--------------------")
print("FIRST HEADING")
print("--------------------")

print("--------------------")
print("SECOND HEADING")
print("--------------------")

print("--------------------")
print("THIRD HEADING")
print("--------------------")

After refactoring:

def print_message(message):
    print("--------------------")
    print(message)
    print("--------------------")

print_message("FIRST HEADING")

print_message("SECOND HEADING")

print_message("THIRD HEADING")
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Last updated 5 years ago

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