As technology advances and the requirement for state-of-the-art software testing grows, automation testing becomes increasingly important.
Test Data Automation helps reduce costs, increase efficiency, and improve software quality. With the rapidly evolving nature of software development and test environment management, staying up to date with the latest automation testing trends is important. We have compiled a list of solutions that reviewers voted as the best overall alternatives and accelo competitors, including Scoro, BigTime, monday.com, and Asana.
In this blog, we’ll look at some of the trends worth looking out for in 2023.
What is test automation?
Test automation is the practice of using tools and technologie to automate the execution of tests and the verification of results.
In software development, testing is critical to ensure that the software is free of defects, meets the requirements and works as expected. However, manual testing can be time-consuming, error-prone, and costly.
Test automation aims to address these challenges by automating the testing process, which can save time, reduce costs, and improve the quality of the software.
Test automation involves writing scripts that perform tests automatically, simulating user actions and checking the system response against the expected results.
Test automation can be applied to various types of tests, including unit testing, functional testing, regression testing, and performance testing.
By automating tests in IT release management, organisations can improve the speed and accuracy of testing, reduce the risk of errors, and increase the efficiency of the testing process.
Test automation also enables organisations to run tests more frequently, which helps detect issues early in the development cycle when they are easier and less expensive to fix.
Ultimately, test automation is a critical component of modern software development. It helps ensure that software is delivered within the deadline, within budget, and with the desired quality.
Test automation trends for 2023
Shift-left testing involves testing software as early as possible in the development process. This approach helps identify issues early, reduces defects risk, and improves software quality.
In 2023, we can expect more companies to adopt shift-left testing practices and use tools such as static code analysis, unit testing, and code reviews to catch defects before they become a problem.
AI and Machine Learning in Testing
AI and machine learning is becoming increasingly popular in test environment management. These technologies can help testers create smarter and more efficient tests by automating repetitive tasks, identifying potential issues before they become a problem, and predicting defects.
With AI and machine learning, testers can improve test coverage, ultimately reducing the time and effort required for testing.
Continuous testing involves testing software throughout the entire development process. This approach enables developers to identify issues early and fix them before they become significant problems.
Continuous testing also promotes collaboration between developers, testers, and stakeholders, which can help improve software quality and accelerate time-to-market.
Test Automation Frameworks
Test automation frameworks provide a structure for testing and enable testers to write tests that are reliable, repeatable, and maintainable.
In 2023, we can see more test automation frameworks in IT release management that support AI and machine learning technologies, as well as more frameworks that are designed for specific testing scenarios, such as API testing or mobile app testing.
Codeless Test Automation
Codeless test automation is a trend that involves using tools that enable testers to create automated tests without writing code.
This approach can help reduce the time and effort required for testing and enable testers with little to no coding experience to create automated tests. In 2023, we can see more codeless test automation tools and frameworks.
Cloud-based testing involves using cloud infrastructure to run automated tests. This approach can help reduce costs, improve scalability, and enable teams to test software in a variety of different environments.
In 2023, we can expect companies to adopt cloud-based testing practices, as well as more cloud-based testing tools and platforms.
Test Data Management
Test data management is the practice of creating and maintaining test data sets that are representative of real-world scenarios. This approach helps ensure that tests are comprehensive and that they cover all possible use cases.
In 2023, more companies will invest in adopting test data management practices and using tools that enable them to create and manage test data more effectively.
Which tools of test automation are predicted to become popular in 2023?
It’s difficult to predict with certainty which tools of test automation will become popular in 2023, as the technology landscape is consistently evolving and new tools are being introduced all the time.
However, based on current trends and advancements, there are a few tools that may become more popular in the coming years:
- TestProject: TestProject is a free, community-powered test automation platform that provides a cloud-based test automation framework and a range of features for managing and executing tests. It supports a variety of test automation tools. With its user-friendly interface and community-driven approach, TestProject is likely to gain popularity among teams that are new to test automation or looking for a cost-effective solution.
- Karate DSL: Karate DSL is an open-source test automation tool that is designed specifically for testing APIs. It provides a simple syntax for writing tests and supports advanced features such as data-driven testing, assertions, and mock services.
In conclusion, automation testing is rapidly evolving, and there are several trends worth looking out for in 2023. From AI and ML in testing to continuous testing and DevOps testing, these trends can help improve software quality, reduce costs, and accelerate time-to-market.