After developing software, the next step is to ensure it is reliable and functioning as expected for your users. Today, nobody wants to deal with manual testing because it could be time-wasting, energy-sapping, and more prone to errors.
The growth of technology like artificial intelligence (AI) has led to the development of quality assurance (QA) automation tools to save you stress.
Is it challenging to decide which QA tool is best for you because there are many of them on the market?
We’ve got you!
In this article, you’ll discover some of the best QA automation tools that can serve your organization well. Before we go into their details, below’s a quick rundown of the tools.
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Quality assurance automation tools are software applications that make it easy for businesses and organizations to test their software to identify defects and ensure these products meet the necessary requirements.
With minimal human interaction, quality assurance automation tools can perform repetitive and time-consuming tasks. Ultimately, they make your testing process more effective, efficient, and accurate.
Traditional development models typically included a sequential approach to quality assurance testing. Not only was this model expensive and less efficient, but it usually led to issues like the late discovery of defects in projects. Luckily, automated tools have made these setbacks a thing of the past.
Alongside benefits like scalability and detailed testing, here are other advantages of using automated QA testing tools:
These tools allow you to include scripts and commands that run automatically whenever you update your software. Additionally, unlike manual testing, you can run multiple tests simultaneously across different platforms and configurations.
While we won’t deny that the initial cost of setting up automatic testing tools could be steep, it is cost-effective in the long run.
You can carry out cross-platform testing for thousands of complex test cases quickly, saving you money with less labor which is nearly impossible with manual testing. Finally, automated testing can run 24/7 which leads to more efficiency.
Manual testing is monotonous and more prone to errors, but with automatic testing tools, you relieve yourself of such monotony while getting an even more accurate result. Since these tools perform the same steps repeatedly, they are more reliable.
Furthermore, the depth and scope of these testing software allow you to execute large amounts of complex tests easily.
It is much more difficult and expensive to resolve bugs and other errors in your project after you’ve made significant progress on it. Because of the continuous nature of automated testing, late detection, and last-stage bug fixes will be dealt with.
Moreover, there will be no need to modify large portions of your codebase or make extensive reworking since you’ll catch critical mistakes in the earlier phases of your project.
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Quality assurance testing software executes complex tests across different configurations, environments, and scenarios. As such, you can be confident that the quality of your product will be top-notch. These tools allow for faster feedback loops so that developers can quickly identify, resolve, and improve any defects their products might have.
Now that automation software is handling monotonous and repetitive tasks, you don’t need to spend time and money on manual testing training for your QA engineers.
Also, they’ll have more time to focus on other important tasks like usability testing and exploratory testing to improve their overall product quality.
By integrating automated testing into your product’s development process, you can ensure continuous improvement and delivery of your software.
With this, any changes you make to your products don’t have to hinder their existing functionality. Eventually, you’ll be able to deliver high-quality services that meet your users’ needs and expectations.
Let’s check out how AI is making quality assurance testing better in the software testing industry.
AI makes it easy to perform repetitive tasks uniformly, leading to precision and accuracy. As a result of this consistency, you can track the effect of the changes you’re making on your product more predictably.
When you use AI in QA testing, you can get test case results across different platforms, use cases, and user behaviors. This wider test coverage ensures that your testing process is robust and that bugs you could have missed are quickly resolved.
AI is trained to identify patterns and anomalies, making it easy to detect potential issues that could otherwise have been overlooked. Also, based on past data, this technology can make predictive analyses about errors so that testers can take proactive measures.
By processing metrics like user reviews and interaction, AI can provide insightful feedback on your customers’ needs and preferences. With a clear understanding of their expectations, you can be confident that your software will give your users a satisfying experience.
After making changes to your code, AI helps you prioritize test cases that are more likely to be affected by such modifications. The software can also identify specific areas in your product that need thorough testing and optimization, there wouldn’t be the concern of introducing errors to your software as you make frequent updates.
Now that you understand the value automated quality assurance tools provide, let’s examine our top seven picks!
QA.tech is a complete QA automation package that helps ensure that you’re satisfying your users’ needs. As your product grows, your automated testing effectiveness also grows to meet the demand without compromising on your product’s quality.
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Selenium will serve you well if you want to perform a wide number of tests, including compatibility, end-to-end, integration, regression, and sanity tests. It also works across major platforms and browsers including Chrome and Firefox.
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Free and open-source.
Cucumber makes cross-browser user interface testing easy using the Behavior Driven Development (BDD) approach. This automation tool uses the Given-Then-When-Gherkin (or the simple English sentence) syntax, which means anyone on the team can work with it irrespective of their technical knowledge.
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With Katalon, you can execute automated testing across different mobile apps, web apps, and APIs. This is a go-to tool for robust and thorough testing. It is simple to use whether you’re a beginner or an experienced tester.
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TestComplete can run, manage, and analyze automated tests across different platforms and devices, which improves your product’s quality while reducing delivery time. You can also integrate it with Test Management platforms like QAComplete and Jira.
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Ranorex is beginner-friendly and has full IDE as well as low-code automation. You’ll also be impressed by its wide coverage of technologies. However, Ranorex uses C# and VB.NET for test automation because it doesn’t have its scripting languages.
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Appium’s interface is user-friendly and works well with iOS and Android platforms. Another interesting characteristic of Appium is that you can test it on real devices and emulators.
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Free and open-source.
While you can’t fully eliminate manual testing when testing your software, automated QA testing tools help you save time and resources without compromising your product’s quality. However, the first step is to choose the best QA automation tools for your business.
Carefully go through our list of the best QA automation tools and select the one that suits your business’ software testing needs.
We recommend QA.tech’s AI-driven testing tool for scaling your software deployment.
Yes, they might, especially if they don’t have prior automation testing skills or experience.
To choose the best testing tools for your business, you need to ask questions like:
Ensure you choose tools that align with your operational needs and are robust enough to provide long-term value for your business.
They include intuitive test creation, cross-platform compatibility, CI/CD integration, comprehensive reporting, parallel test execution, and version control integration.