Top 7 Programming Languages For Automation Testing

Software testing is an essential part of the Software Development Life Cycle that ensures the product developed is free from bugs and errors.

If you want to pursue a career in software automation testing, programming is an essential skill. This is because to instruct a tool, you need to write test scripts in a language they understand like Java and Python.

With a variety of programming language options available today, it can be a little tricky to choose one. But don't worry! Our guide will introduce you to the top 7 programming languages for automation testing in 2024, along with their pros and cons.

What is Automation Testing?

Automation testing refers to checking for bugs and errors within a project using automation tools like Selenium. A tester provides test scripts using different programming languages to automation tools to check for bugs or errors in an application.

• Manual Testing Process

When a software developer produces an application, testers need to manually check each step or functionality to find out how each step works. If the actual result matches your expected result, you will pass that test case; otherwise, you need to report the developer about the bugs or errors. This process is time-consuming and has a higher chance of manual errors.

• Advantages and Limitations of Automation Testing

In automation testing, you will provide commands to an automation tool on what they need to do. You can use different programming languages like Python, Java, C#, and Ruby to translate your manual test cases into the language (test scripts) that your machine understands and performs the required actions. It saves you time, but not all test cases can be automated for better results, like exploratory testing or random testing (which requires logic).

Experts believe that automation testing can help manual testers improve their efficiency and save time and resources. Here's what they say about automation testing.

7 Best Programming Languages For Automation Testing

1. Java

Java has been in the industry for more than 28 years, and nearly billions of enterprise software are built on Java. This makes Java one of the first few preferences for test automation engineers. Java 17 version was used by 9% of applications in 2023, which now is used by nearly 35%, rising by 300% in a year, according to a report on the Java ecosystem by New Relic.

Moreover, it has a vast library of automation tools and frameworks that help engineers develop and execute automated tests easily and fast. You can also get access to a huge community to find answers to any questions related to Java. This programming language is mainly used in web development (back-end), Android application development, industrial programming, and computer game development.

NOTE: To become an expert automation tester, you need to have a good understanding of Java full stack. This includes learning about front-end technologies like HTML, CSS, and JavaScript, back-end frameworks such as Spring and Hibernate, etc. For example, Codegnan’s Java full-stack developer course in Bangalore offers you practical learning with real-world java full stack projects. Their Java training also provide placement assistance to top tech companies.

Pros:

• Java is platform-independent and follows the Write-Once-Run-Anywhere principle, which makes Java-based test scripts platform-independent and increases your test coverage
• It supports multiple open-source automated testing frameworks like JUnit and TestNG that make automated testing easy by offering inbuilt features and methods
• Its stack allocation system smoothly integrates with Selenium WebDriver (a commonly used automation testing tool)
• It supports multithreading, which makes cross-browser testing and parallel testing easy

Cons:

• Java scripts can be longer and more complicated compared to other languages
• Learning Java can be a little difficult, especially for those who are new to programming or object-oriented concepts
• Automatic memory management of Java can sometimes result in performance issues or memory leaks if not handled properly

2. Python

Python, being an open-source programming language, has multiple open-access libraries that help software testers write fewer lines of original code on their own. It has the ability to handle numerous automation tasks like web testing, mobile testing, and API testing.

Pytest is a popular framework for automation that can handle any functional test, including unit, integration, or end-to-end testing. Also, the rich library of useful packages in Python greatly facilitates testing operations. Besides its rise in popularity, according to the Tiobe index, Python has numerous benefits that impact its usage by software testers.

Firstly, Python's simple syntax and easy-to-read code make it suitable for new software testers. Secondly, Python allows you to solve more tasks with fewer lines of code than Java and has a massive code library that provides you with ready code to import. Moreover, Python's scalability makes it equally great for beginners and experienced testers.

Pros:

• Python is a multipurpose language, which makes it suitable for different tasks, like test automation, web development, data analysis, and more.
• It has an extensive ecosystem of libraries and frameworks for automation testing like Selenium, Appium, PyTest, Unittest, and robot frameworks.
• Its cross-platform compatibility feature allows test scripts in Python to run on different operating systems without significant modifications
• It integrates well with popular DevOps tools like Jenkins, Docker, and Git.
• It supports data structures and file handling, which makes implementing data-driven testing possible in Python, where the test data is separated from the test logic.

To learn Python, you may also join classroom training that will guide you through live classes and real-world Python projects. Codegnan’s (4.8/5 rated by 2,200+ students, as per GMB rating) Python course in Bangalore is also one of them that offers placement support and expert training.

Cons:

• It has limited built-in support for GUI testing and requires third-party libraries like PyAutoGUI and Pywinauto
• It is an interpreted language, which makes it slower in execution (line-by-line code execution) compared to Java for a certain task

3. Javascript

Javascript is a great choice for front-end automation testing and API testing. It is a dynamically typed language where you can omit the definition of data types for variables as it is automatically performed during program execution. It has one of the largest package infrastructures for the language, which means that if you work with PDF or XLS files as part of a test, JavaScript can provide you with a package that will help you test these file formats.

Additionally, JavaScript is a multi-paradigm language that can support both functional and object-oriented programming styles. As part of automated testing, it gives you flexibility in building project architecture and the ability to write tests easily and quickly. JavaScript is used in the automation of web application testing service, desktop applications written using Electron technology, and mobile applications.

Pros:

• No Selenium WebDriver initialization and choosing which approach to use is required for JavaScript
• It allows you to work with the browser’s Network Tab without connecting additional libraries, which aren't available in Java, C#, and Python
• The presence of multiple JavaScript frameworks for end-to-end testing and unit testing
• To start writing auto test in JavaScript, you only need to search for a locator and know the basics of JavaScript (low entry requirement)

Cons:

• There is no in-built support for test frameworks for which you require a third-party framework like Mocha or Jasmine
• It runs code in a non-blocking way, which causes difficulties in creating a test that depends on the sequence of executions or precisely forecasts the status of a program at any certain moment
• It isn't a good choice for testing graphical user interfaces as there's no mechanism to interact with GUI elements directly
• There is limited support for integration testing with external systems or APIs

4. TypeScript

The search demand for “TypeScript” has increased in India over the last five years.

TypeScript is a superset of JavaScript that adds an optional type system and planned features from future JavaScript editions to present JavaScript. This programming language can catch errors early on during compile time, which helps you avoid potential bugs in your final product.

It is mainly used in front-end automation testing frameworks like Protractor. Popular test frameworks, e.g., TestCafe and Cypress, provide support for TypeScript, allowing you to write automated test scripts, execute them, and report them.

Pros:

• Its clear syntax and robust type system help you write easy-to-understand and maintainable codes
• TypeScript supports static type checking, which eliminates errors early on before they convert into bugs during runtime
• It smoothly integrates with popular IDEs and code editors, offering features like code completion, refactoring, and better navigation.
• It promotes code reusability and maintainability, which is useful for larger projects
• Test scripts written in TypeScript can be executed in any environment that supports JavaScript, including web browsers and Node.js

Cons:

• It can be difficult for developers who are new to static typing, which can initially slow down the process
• Additional type-checking and transpilation (converting source code from one high-level programming language to another) processes can create potential performance overhead compared to JavaScript
• Advanced TypeScript features have limited browser support

5. C#

C# ranks among the top 10 programming languages that 27.62% of developers in India and globally have preferred in 2023, as per a report by Stack Overflow. It is also gaining popularity among software testers for its compatibility with Selenium WebDriver and its ability to work across multiple operating systems (including Windows, Mac, and Linux).

C# is an object-oriented and type-safe programming language created by Microsoft. Multiple test automation frameworks based on C# (e.g., xUnit.Net, MSTest, and NUnit) automate cross-border and cross-browser testing, unit testing, and functional testing. You can use the Page Object Model design in C# to enhance the efficiency and maintainability of test scripts.

Pros:

• C# supports a wide range of development toolkits for Windows, Mac, and Linux provided by Microsoft
• It integrates with Microsoft's development tools like Visual Studio, making it easier for software testers to develop and debug test scripts within the same environment as the application under test
• It offers strong type checking at compile time, reducing errors
• Supports multiple inbuilt features, making software testing faster

Cons:

• C# is hard to learn, especially for beginners
• Some enterprise-level features and tools of C# require licensing and additional costs.
• There can be performance overhead for .NET runtime and the use of testing frameworks

6. Ruby

Ruby is a dynamic, open-source programming language focusing on simplicity and productivity. It uses easy-to-understand syntax, allowing software testers to write clear and maintainable test scripts . Ruby smoothly integrates with Selenium, the most popular software automation tool, and executing your first cross-browser test with Ruby + Selenium WebDriver is easy.

Ruby, along with Gherkin and Cucumber, develops a powerful environment for your test automation. Some of the most popular test automation frameworks that work with Ruby for cross-browser testing include Capybara, RSpec, and Test::Unit.

You can choose Ruby for behavior-driven development and test-driven development. RSpec, one of the first BDD frameworks, was built in Ruby, and Mocha (JavaScript) and PyTest (Python) are its clones. Another example of a BDD framework is Cucumber. It is also built in Ruby, and SpecFlow(C#), and JBehave (Java) are its clones.

Pros:

• It is well-suited for Behavior-Driven Development (BDD) with tools like Cucumber, which allows you to write tests in a natural language format
• Ruby has a rich ecosystem of testing frameworks, libraries, and tools, offering testers better solutions
• Ruby's dynamic typing can make it easier to write and modify test scripts quickly, as you don't need to explicitly declare variable types
• Ruby is a cross-platform language, meaning test scripts can run on different operating systems without much modifications

Cons:

• It is an interpreted language and takes longer time to compile than Java (compiled languages)
• Ruby has less built-in support for GUI testing and rely on third-party libraries like Ruby-Automation or Watir.

7. PHP

PHP is a server side scripting language that creates dynamic and interactive web pages. It can be used for software testing automation but isn't much popular like Python, Java, C#, and JavaScript. It works with Selenium to execute PHP Selenium testing on different browsers. PHP supports multiple test automation frameworks like Laravel Dusk, Codeception, PHPUnit, and BeHat.

Tools that support PHP:

• Selenium
• Appium
• SimpleTest
• Cucumber
• Laravel, and so on.

Pros:

• PHP is platform-independent and can run on various operating systems
• It can be smoothly integrated with web servers like Apache and Nginx, making it easier to integrate testing scripts with the web server environment and test applications in a production-like setup
• It has built-in support for unit testing through frameworks like PHPUnit

Cons:

• It supports fewer testing frameworks and tools compared to other languages
• Lacks in-built libraries for browser automation

Steps on How to Become a Software Testing Engineer

• Acquire a Degree

To start your career as a software testing engineer, having a college degree is important. It opens up your door to enrolling in different software testing courses from reputable institutions. Having a bachelor's degree in computer science can be a suitable starting point for you.If you're aiming to become a software engineer, this foundational education is equally essential.

• Learn How to Code

Coding is essential. You must write test scripts for the machine to understand and execute a test case. There are multiple programming languages for software testers. However, the best options are Python, JavaScript, Java, and C#.

Stackoverflow, in its 2023 developer survey report, revealed some of the best ways to learn coding. But make sure you continuously practice coding to understand its implementation the best.

• Build the Necessary Skills

Besides programming skills, a software tester needs to acquire different technical and soft skills.

Technical skills

• Understanding of databases and SQL
• Cloud-Native Stack: Databricks, Azure DataFactory, AWS Glue
• Big Data Stack: Spark Core, Spark SQL, Spark ML
• Data warehouse: Amazon Redshift, Google BigQuery, Azure Synapse Analytics
• NoSQL: CosmosDB, Cassandra, MongoDB.
• Queues and stream processing: Kafka Streams; Spark Streaming;
• Data visualization: Tableau, PowerBI
• Understanding of distributed computing and parallel processing
• Version control systems: Git
• Testing: component/ integration testing, unit testing (JUnit).
• Containerization: Docker, Kubernetes.
• Knowledge of Agile Methodologies and Scrum practices

Soft skills

• Communication
• Creativity
• Analytical
• Organizational
• Problem-solving
• Documentation and presentation

Learn Essential Software Testing Tools

• Test automation tools: Selenium, Appium, TestNG, JUnit
• Load and Performance Testing Tools: JMeter, Gatling, LoadRunner
• Security Testing Tools: OWASP ZAP, Burp Suite, Nikto
• API Testing Tools: Postman, SoapUI, REST-assured
• Database Testing Tools: DBUnit, SQL Map
• Code Quality and Analysis Tools: SonarQube, Checkstyle, PMD
• Test Management Tools: TestRail, qTest
• CI/CD Tools: Jenkins, Travis CI, CircleCI
• Browser and Mobile Device Testing Tools: BrowserStack, Sauce Labs

Work on Multiple Projects

To start working as a fresher, you must show your skills and experience with your project work to potential recruiters. Therefore, you must try completing different types of projects that showcase your expertise in software testing.

Build an Interesting Resume

Having a proper professional resume is important for any job role. It's equally important to ensure that your resume matches with job description for landing the right job opportunities. Resumes showcase your personal and professional information to recruiters. You can add your Java or Python projects work to your GitHub account and share its link on your resume.

Pursue a Certification

Upon completion of a software testing course, you will receive their certificates. However, having a professional, globally recognized software testing certification can help you land a good job.

• ISTQB certification: CT-TAE
• QAI Certification: Certificate Program in Software Testing
• IIST Certification: CSTP-A
• CP-SAT

Expand Your Professional Network

Create a free LinkedIn account to expand your professional network and meet with experts in your domain. You can learn from their posts and stay updated with all the current trends in the software testing domain. Also, by expanding your network, you can increase your chance of finding a good software testing engineer job.

Prepare For Interview

Even before applying for a job, you must prepare yourself with basic software testing questions available on the web. This will clear your basics and provide confidence.

However, after applying for a job, you must consider the requirements and prepare accordingly.

Launch an Early-Stage Software Testing Job

You can find multiple early-stage software test engineer jobs in India. We found nearly 1100+ software test engineer job vacancies in India on LinkedIn. You can apply for jobs that suit your skills, qualifications, and experience. That’s all in this guide. Hope you now have a clear idea about the right programming language to choose for performing automation testing tasks.