Testing

Automated Testing Tools, Techniques, and Best Practices

By Admin
Posted on 27/09/2024

Automated testing is a process of checking software applications with tools and scripts. This approach saves time, reduces errors, and facilitates continuous testing. In this type of testing, various components, features, and software performance are tested using specialized tools. This testing method is used to improve the quality of the software and resolve the issue faster.

Automated Testing Types:

Unit testing: Testing of single-code units to ensure the code functionality.

Integration testing: It guarantees appropriate communication between the various software components.

Testing for Regression: It confirms that fresh upgrades do not affect the software's current functionality. This aids in stopping the reintroduction of code defects.

Performance testing: Using this testing, the system's speed, stability, and efficiency are easily measured.

End-to-End Testing: Simulates the user strategy and tests the overall functionality of the system.

Automated Testing Tools:

1. Selenium:

This is a popular open-source program for testing web-based applications. It works with many operating systems, browsers, and devices and connects seamlessly with web browsers.
Although it does not have its scripting language, it can be written in C#, Ruby, Java, and Python.

2. JUnit/TestNG:

Popular unit testing frameworks for Java applications include JUnit and TestNG. With the help of these, testing can be done easily and efficiently.
TestNG offers more flexibility.
They can also be easily used in CI/CD pipelines.

3. Cypress:

Cypress is the most convenient tool for front-end developers. It is designed for testing modern web applications.
With fast feedback and its API, Cypress integrates well with modern frameworks.
It can easily handle asynchronous operations and supports debugging in real time.

4. Appium:

Appium is an open-source tool for testing mobile applications (iOS and Android). It allows writing test scripts in languages like Java, Ruby, and Python.
It can be used for testing both web and mobile applications.

5. Jenkins:

Software development lifecycle automation is facilitated by Jenkins, an open-source continuous integration and deployment platform.
Its extensive ecosystem of plugins facilitates seamless integration with other programs.
Jenkins is an essential component for automating and scheduling testing. After each build, tests are run automatically.

6. JMeter:

JMeter is an open-source tool primarily designed for the performance and load testing of web applications.
It supports different protocols (HTTP, FTP, JDBC).

7. Katalon Studio:

This comprehensive open-source testing tool is used to perform web and mobile application testing.
It has advanced features for professional developers in addition to being designed to be simple to learn for novices.
Built on Selenium and Apium, this tool integrates easily with rich features.

These tools meet different needs and can be selected according to your project needs.

Criteria for Selecting the Right Tool

Project Requirements
Team Expertise
Integration
Cost-efficiency
Scalability

Tools for Automated Testing:

1. TDD, or Test-Driven Development:

TDD is a well-known testing procedure. It is an iterative approach to writing test cases before code.
This helps avoid bugs in the code and improves the quality of the software.
It is mainly used for unit testing.

2. Behavior-Driven Development (BDD):

Behavior Driven Improvement (BDD) is an application type of TDD in which experiments are written in the client's language.
Test cases are written using simple sentences (Given, When, Then) to facilitate communication with business users and developers.
Tools like Cucumber, and SpecFlow are widely used for BDD testing.

3. Data-Driven Testing:

Data-driven testing is the process of connecting test cases to data sets and executing a single test script with multiple inputs and outputs.
Importing test data from external files (Excel, CSV) simplifies the testing process.
It is useful for testing multiple series with a single test case, thus saving time and effort.

4. Keyword-Driven Testing:

• In this, testing scripts are generated using only keywords.
• Each keyword represents a test verb, and these verbs reflect user behavior.

5. Model-Based Testing:

Model-based testing is a method in which a software system is modeled and test cases are generated based on that model.
It makes the testing method efficient by automating it.
This technique can detect potential problems early, thereby improving software quality.

These techniques play a vital role in conducting software testing effectively and efficiently. Choose a technique that matches the testing requirements. Askme Training arranges classes for the Automated Software Testing Course. In this training, they provide comprehensive guidance and practical knowledge to improve skills in automation testing.

An in-depth understanding of scripts, tools, and best practices is provided in Automated Testing Training. So, join the course now to learn how to carry out software testing with automated tools.

1. Test Design and Management:

Clear and Reusable Test Cases: Test cases should be simple and clear. Must be modular and flexible to be reusable. This reduces the testing time.
Prioritization: Prioritizing test cases is important. High-risk and high-impact areas should be tested first. This helps in early identification of major problems in the project.
Solution: It is better to break test scripts into smaller modules to make them easier to manage. It resolves problems easily.

2. Continuous Integration/Continuous Delivery (CI/CD):

Integrating tests into CI/CD pipelines: Integrating automated testing procedures into CI/CD pipelines guarantees that each new build receives immediate feedback.
Running tests on every build: Bugs can be eliminated by running automated tests before releasing each build. It ensures the quality of the software before it goes into production.
Use of version control: It is good practice to use version control systems for test scripts. This helps in tracking changes and restoring older versions when necessary.

3. Test Environment Management:

Compatible and static environment: The test environment should be similar to the production environment. Ensure that the test results are accurate.
Test data management: The test data should be properly created and appropriate for that type of test. Besides being similar to real data, privacy issues should be avoided.

4. Reporting and Metrics:

Test Coverage Tracking: Tracking test coverage is essential. This helps ensure that all critical components of the project are tested.
Analysis of the results: By analyzing the test results, it is possible to know in which areas the defects are most common.
Use of Dashboards: It is good to use dashboards to view test results in real time. This makes it easier for the team to understand the results.

5. Scalability and Performance:

Parallel Test Execution: Running tests simultaneously can reduce time and improve scalability.
Load Testing and Stress Testing: These testing methods are used to test the performance of the system. Learn how the system behaves under heavy load conditions by joining an institute providing Software Testing Training.
Cloud-based testing: When needed, the use of cloud-based testing services can expand the test infrastructure.

6. Continuous Improvement:

Re-review of test cases: Regularly re-review the test cases to see if they are up to date.
Changes based on results: Based on the test results, changes should be made in the test process to get better results.
Adoption of new methods: Quality can be improved by learning new tools, technologies, and methods, and making corrections in the testing process.

By following these best practices, the efficiency, accuracy, and quality of the software can be improved.

Conclusion

Automated testing helps in detecting non-existent errors in software applications, thereby improving product quality.
If you want to make your career in this field, contact AskMe Training. They provide quality education, practical experience, and the latest technology knowledge in automated software testing courses.

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