By unit testing, developers can confidently change code without worrying about breaking other parts of the application. It encourages good design and simplifies maintenance.
When it comes to unit testing, it is mainly the developer’s responsibility to ensure that the code they’re writing works perfectly at the component level.
This article intends to focus on breaking the term “unit testing”, highlighting the importance of performing them before handing over the code to a tester for higher-level of testing.
The market is flooded with unit testing tools, but not all the available tools serve the purpose of testing code in isolation before testing in integration. We’ll discuss the best tools that perfectly solves the purpose of testing code blocks before it starts to work as one complete entity.
What Is Unit Testing?
Unit testing focuses on verifying the functionality of individual components or "units" of code.
Typically, a unit refers to the smallest testable part of an application, such as a function or a method within a class.
The primary goal of unit testing is to ensure that each unit performs as expected in isolation from other parts of the application.
💡 Team IBM found that unit testing can reduce bug detection costs by up to 90%. It's cost-effective, not just code effective.
Read more - What is Unit testing? A Complete Step by Step Guide
➡️ Isolation is Key
The power of unit testing lies in its focus on isolation. By testing each unit independently, you eliminate dependencies on other parts of the code, providing clarity and precision in finding issues.
➡️ The Building Blocks
Think of your software as a complex machine, where each function is a gear. Unit testing involves scrutinizing each of these gears separately, ensuring they perform exactly as intended under various conditions.
HyperTest has made a unique way to test integrations between services with no need to manually create and update mocks, that is usually required in unit testing. More about the approach
Why to Perform Unit Testing?
Unit testing is about ensuring each individual unit of your code - typically functions or methods - works correctly in isolation, much like checking every brick in a wall.
Unit testing your code not only gives confidence to devs to move it in the further stages of testing, but also lets them know whether they’re moving in the right direction or not.
👉Unit tests target specific functionalities, making it easier to pinpoint where and why a failure occurs.
👉Every time a change is made, unit tests can be rerun to ensure that existing functionalities are not broken.
👉With a comprehensive suite of unit tests, developers can refactor code - even make significant architectural changes - with confidence.
👉Unit tests catch issues at the earliest stage of development, significantly reducing the cost and time associated with fixing bugs later in the development cycle.
Allowing bugs to slip into production is the ultimate nightmare for any growing company, resulting in significant harm, both financially and in terms of user trust. HyperTest has built a unique approach that catches all the regressions before it reaches production, as it is monitoring real production traffic 24*7.
How Unit Testing Works?
The primary goal of unit testing is to validate that each unit of the software performs as designed. A unit is the smallest testable part of any software and typically has one or a few inputs and usually a single output. Let’s understand how unit testing works:
1. Choose a Framework:
First, select a unit testing framework compatible with your programming language. This framework provides the tools and environment for writing and running tests.
2. Write Test Cases:
For each unit of code, write test cases that cover various scenarios, including edge cases. These test cases should be simple, focusing on one aspect of the function's behavior.
💡 HYPERTEST monitors the network traffic and auto-generates test cases for all your services without needing them to be up and running
Get a demo here.
3. Run and Review:
Execute the tests and analyze the results. Any failure indicates a problem in the corresponding unit, guiding developers to the issue's source.
💡 HyperTest autonomously identifies relationships between different services and catches integration issues before they hit production, letting developer of a service know in advance when the contract between his and other services has changed, enabling quick remediation and collaboration.
Learn the complete approach here.
Choosing The Right Unit Testing Tool
A good unit testing tool should aim to lessen your burden and give more power to devs, so that they get instant feedback on their code.
Here are some key factors to consider when selecting a unit testing tool:
Language and Framework Compatibility
Ease of Integration
Test Writing Ease
Mocking and Isolation Features
Reporting and Analysis
Community and Ecosystem
Performance and Scalability
8 Most Popular Unit Testing Tools
We have covered both the free tools and the paid tools in the Unit testing category. The top 8 Most Popular Unit Testing tools to consider for 2024 are:
➡️ HyperTest
➡️ JUnit
➡️ NUnit
➡️ MSTest
➡️ Mocha
➡️ PHPUnit
➡️ RSpec
➡️ PyTest
Let’s discuss these widely used unit testing tools in great details to have a better comparison.
1. HyperTest - Unit Testing Tool
HyperTest aims to ease out unit testing by taking away the pain of manual mocking, and test data preparation. It is a modern no-code tool that is trusted by teams like Nykaa, PayU, Skaud, Zoop, Fyers etc.
It actually saves my time in maintaining each and every test case and keeping a record of them. Also running each API in postman and seeing their responses one by one looks a hectic work now after being a HyperTest user. -Pratik Kumar, Fleek Technologies
Pros of HyperTest:
1. Set up is just like how you will set up an APM, i.e., it's super easy.
2. Test can be run locally without needing dedicated test environments
3. Support all protocols like http, graphQL, gRPC, Kafka and AMQP to cater to more use cases. Adding more as we speak
4. Active de-duplication to reduce the number of requests run on REPLAY. We optimise for code coverage & filter requests that don't cover additional lines of code
5. Distributed tracing to help developers debug root cause faster.
6. Auto-updates mocks as dependencies change to keep test results trustworthy.