Software is becoming more and more complex while consumer demand grows ever higher. Developers are under increasing pressure to deliver new apps and updates rapidly – but thorough testing is still necessary to detect bugs and ensure software quality. It's not surprising, then, that many organizations use automated testing to speed up workflows and maximize the efficiency of the quality assurance (QA) process.
While manual testing will always be necessary, automation can help businesses save time and money. Here, we'll explore:
Some terms in software testing can sound confusing. Although they sound similar, they refer to different things. So, let's start with the basics:
Quality Assurance (QA) is a systematic process that ensures a product or service meets specified quality standards. In software development, QA involves activities and methods that focus on preventing defects and ensuring that the final product meets stakeholders' expectations.
Automation refers to using technology and software to perform tasks or processes without human intervention. In the context of software testing, test automation refers to using automated tools and scripts to execute test cases, compare actual outcomes to expected outcomes, and report results.
QA Automation, or Test Automation, integrates automation tools and processes into the overall Quality Assurance strategy. It involves using automated testing tools and frameworks to enhance the efficiency and effectiveness of the testing process.
QA is a broader discipline encompassing processes, standards, and activities to ensure overall product quality.
Automation refers explicitly to using technology to perform tasks without human intervention and, in testing, focuses on automated test execution.
While QA focuses on overall quality processes, automation emphasizes using technology to perform tasks efficiently. QA Automation strategically combines both, integrating automated testing into the broader QA framework to enhance software quality.
QA automation involves utilizing dedicated software to execute tests on the software under development. While human testers previously shouldered many testing responsibilities, leveraging technology to mitigate repetition, automated testing now handles various tasks. It even conducts advanced tests that manual methods cannot achieve.
Incorporating QA automation into your workflow can take several forms:
Here, your internal development team creates tests from the ground up, tailoring them to your software's specific requirements and intricacies.
Tools designed for codeless test automation become invaluable in environments where coding expertise is limited. These tools enable non-coders to create and execute tests efficiently.
Engaging with a third-party QA service, like Global App Testing, allows specialists to develop and implement tests for your application. This approach is beneficial when seeking external expertise or resources.
Automated testing becomes an integral component in a continuous integration environment, where software undergoes development, testing, and deployment multiple times daily. This methodology ensures that serious bugs, security vulnerabilities, and user experience issues, including those specific to particular use cases, are promptly identified through rigorous software testing.
Automated testing becomes an integral component in a continuous integration environment, where software undergoes development, testing, and deployment multiple times daily. This methodology ensures that serious bugs, security vulnerabilities, and user experience issues, including those specific to particular use cases, are promptly identified through rigorous software testing.
Automated QA testing relies entirely on specialized tools for executing test cases and generating results. In contrast, manual testers follow a written test plan and report defects to developers. While these two methods can be used concurrently, each excels in specific areas.
Manual testing is ideal for evaluating the user experience (UX) and an application's overall look and feel – tasks best performed by a human. It is commonly employed for newly designed test cases and, on an ad-hoc basis, for cases with changeable requirements.
Automated testing operates on frameworks developed by testers and is well-suited for large-scale software testing. Generally more accurate than manual testing, automated testing offers a significant advantage in saving time, particularly in scenarios like regression testing that can be laborious for manual testers.
While testing can be automated, creating the script for the test still needs some understanding of programming. Usually, the development team writes the code for the QA team. But now, with codeless testing software, teams can create tests using simple keywords, making it easier for everyone.
Automated QA testing has two main parts:
This type of testing imitates how users interact with the software, like clicking buttons and typing. It checks if the application works as intended and notes any issues. Automation makes this process faster and avoids mistakes made by people.
API testing checks the behind-the-scenes part of the software. It looks at how the different parts of the software communicate. This includes checking how fast the software responds, its format, how it handles special cases, and how it reacts to security issues.
Using automated QA testing makes testing quicker and less prone to mistakes. Splitting it into GUI and API testing helps ensure both the visible part of the software and the hidden parts work well together, creating reliable and error-free software.
The automation testing process involves several stages to ensure a smooth and effective testing lifecycle:
Begin by understanding the objectives of the testing process and conducting a feasibility analysis. Determine which tests can benefit from automation and which ones demand manual involvement. Consider budget constraints, available personnel, and the expertise required for seamless execution.
The QA team developed a test plan outlining the project's approach and end goals to ensure a successful project outcome. They should choose a suitable framework for the test cases, including common practices, testing tools, and standards. Some typical test automation frameworks are data-driven, keyword-driven, linear scripting, and modular testing.
During this phase, quality assurance engineers will develop scripts to conduct tests following the requirements and coding standards. It is important that these scripts are structured and reusable and a third party can easily understand them.
Several open-source tools, such as Selenium WebDriver, Appium, and Android Monitor, can create automated test scripts and test web applications on multiple browsers using various programming languages like Java and Python.
Run automation scripts in this stage. Scripts need test input before execution. Once run, they generate detailed test results. The automation tool can be launched through the test management tool or used directly. After execution, create a detailed report for future reference.
Once the tests have been executed, the automated tool will generate a report. The results will show which components contain bugs or defects and whether or not additional testing is required.
The tests your software needs depend on its type and how it's developed. Suppose it's a cloud app with continuous updates. In that case, you might need more advanced tests than internal software built using the traditional waterfall approach. Some standard tests include:
Unit tests involve testing individual components (or units) of an application to ensure that each one performs as expected. Often designed by the same programmers who wrote the code for the unit, they are one of the easiest QA tests to automate.
Unit testing makes bug-spotting easier, as it's specific enough to pinpoint an issue. Debugging is simple, too, as only the latest changes need to be fixed when a test fails. Defects are usually fixed as soon as they're found.
Integration tests handle multiple components at once to see how the software works as a whole, or how it performs with hardware. For example, it could check whether an ecommerce app sends a confirmation email when a customer makes a purchase.
Integration testing concentrates mainly on the interfaces and information flow between the modules rather than the unit functions that have already been tested.
Functional tests check that the software can perform a set of functions as determined by the requirement documentation. Manual testers or automated tools provide suitable input and ensure the output is as expected.
Functional testing uses black-box testing techniques, in which the tester does not know the underlying code.
Smoke testing is a further assessment testers use to see if the software's main functions work correctly. It's also known as build verification testing, as it checks the stability of the software build. Developers can fix any issues there and then before proceeding with the next stage of testing.
This more comprehensive test checks the entire software product from beginning to end. It ensures that all the integrated pieces run as intended. It aims to replicate real user scenarios and focuses on aspects of the system that cannot be reliably evaluated with smaller tests.
Performance testing is a series of non-functional tests used for checking the software's speed, stability, and reliability under a particular workload – such as the number of people using the app at any one time. The aim is to ensure the software satisfies performance requirements and to identify and fix performance-related bottlenecks.
Regression tests are used to confirm that a recent change to the program or code has not adversely affected the app's existing features. It means re-running functional and non-functional tests as a final check before releasing the product.
Let's begin by examining some of the business benefits that come with the adoption of QA automation:
Continuous releases demand frequent testing, and manual testing can slow down the process. QA automation allows the swift execution of test scripts across various configurations, reducing both testing time and costs.
Automation enhances testing coverage, enabling the execution of thousands of test cases simultaneously on multiple platforms. It delves deep into applications, checking memory data, data tables, and internal structures, thereby enhancing the overall quality and performance of the software.
QA team members can focus on advanced testing tasks, as automation seamlessly handles functional and regression test cases. This reduces the reliance on a large QA team and minimizes the time and cost of hiring and training software testers.
Automation facilitates the transition to Continuous Improvement and delivery (CI/CD) mode, providing continuous testing crucial for DevOps practices.
Even if QA automation appears to be a straightforward fix, it’s not that simple. Coded test automation introduces as many challenges as it resolves, mainly due to the extensive coding required to implement QA automation effectively.
Test automation tools cannot replace human testers. Skilled human resources with advanced programming skills and testing tool knowledge are essential for effective automation.
Designing and configuring an automated test framework can be challenging, with high initial setup costs and ongoing maintenance requirements. Skilled testing professionals are crucial for this phase.
The abundance of automated testing tools makes it difficult to choose the right one. Each tool may not be adaptable to your specific applications or software architecture.
Effective collaboration among software testers, developers, business analysts, and project managers is vital for optimal results. Poor team collaboration can lead to delays in both development and testing efforts.
Automated testing is a valuable resource, saving your company both time and money.
This efficiency also allows the QA team to engage in more sophisticated testing practices, expanding test coverage and ultimately delivering superior quality products.
However, automation is not a cure-all. While it streamlines many processes, manual testing retains its importance, and some level of it will always be necessary.
For optimal results, consider using a combination of automated and manual testing. This comprehensive approach enhances your ability to detect various bugs and defects. Collaborating with experts, such as Global App Testing, can assist you in seamlessly integrating these two methods for maximum effectiveness.
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Automated QA Testing is crucial for its efficiency in executing repetitive tests, ensuring faster feedback, reducing testing time, and improving accuracy. It allows for the early detection of defects, ultimately leading to higher-quality software.
Various tests can be automated, including functional, regression, performance, and integration tests. Automated testing is particularly beneficial for repetitive tasks and scenarios with many test cases.
Automated QA Testing suits various web, mobile, and desktop applications. It can be adapted to different software development methodologies and project requirements.
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