May 1, 2024
3 minute read
Robust Code is code that is reliable, error-free, and able to withstand unexpected inputs or conditions. It is an essential part of software development, as it helps to ensure that software is stable and secure. There are many ways to write robust code, but some common techniques include:
Exception Handling
Exception handling is a way of dealing with errors that occur during runtime. By using try/catch blocks, you can catch errors and handle them gracefully, preventing your program from crashing.
Defensive Programming
Defensive programming is a style of coding that emphasizes the use of checks and balances to prevent errors from occurring in the first place. For example, you can check for null pointers before dereferencing them, or you can use type checking to ensure that variables are of the correct type.
Testing
Testing is essential for finding and fixing bugs in your code. By writing unit tests, integration tests, and system tests, you can verify that your code is working as expected and identify any potential problems.
Code Review
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Find a path to becoming a Robust Code. Learn more at:
OpenCourser.com/topic/oc2bfo/robust
Reading list
We've selected 14 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Robust Code.
Comprehensive guide to writing robust code. It covers topics such as test-driven development, refactoring, and design patterns.
Classic guide to software development. It covers a wide range of topics, including writing robust code, testing, and project management.
Guide to working with legacy code. It covers topics such as refactoring, testing, and design patterns.
Guide to writing clean code. It covers topics such as naming conventions, formatting, and refactoring.
Guide to software testing. It covers topics such as test planning, test design, and test execution.
Guide to refactoring code. It covers topics such as identifying bad code, refactoring techniques, and test-driven refactoring.
Classic guide to design patterns. It covers a wide range of design patterns, including creational, structural, and behavioral patterns.
Beginner-friendly guide to design patterns. It covers a wide range of design patterns, including creational, structural, and behavioral patterns.
Guide to software architecture. It covers topics such as architectural styles, design patterns, and software quality.
Classic guide to software project management. It covers topics such as software planning, estimation, and risk management.
Guide to domain-driven design. It covers topics such as domain modeling, bounded contexts, and aggregate roots.
Guide to test-driven development. It covers topics such as test-driven design, test automation, and refactoring.
Guide to professional software development. It covers topics such as software ethics, software craftsmanship, and software development best practices.
Guide to software engineering at Google. It covers topics such as software development processes, tools, and best practices.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/oc2bfo/robust