If you are in the technology sector, navigating the Quality Assurance (QA) aspect of the product development cycle is likely a familiar terrain. Whether you're an engineer, a QA lead, or even the CEO, chances are you've rolled your sleeves up and delved into testing firsthand. Automating as much of the QA process as possible is a sensible way to approach testing.
In our role as providers of crowdsourced tests, where automation takes a backseat, we've observed that a considerable number of our clients uphold an automation-first philosophy. We offer a versatile supply of specialized manual testing to complement this ethos to ensure a comprehensive and tailored testing strategy.
Now, the question arises: Where should the line be drawn when it comes to automation? Dive into the insights below to discover what aspects of your testing process you can and should automate.
Test automation refers to the practice of using software tools and scripts to automate the execution of tests in software development and quality assurance processes. It involves creating scripts or test cases that can be run automatically, rather than requiring manual effort. Test automation aims to increase the efficiency and effectiveness of testing by reducing human errors, saving time, and improving test coverage.
While all testing, including regression testing, can be done manually, there are often greater benefits to doing much of it automatically. Automation testing offers flexibility because:
For many quality assurance professionals, transitioning to the career of an Automation Engineer becomes a feasible ambition. Engineers, in particular, believe that tests “should” be automated, even when the business reality is much messier.
Automation developers generally write in C#, JavaScript, and Ruby as programming languages. Many tools can help write automated tests and help manage them, too. Please note that Global App Testing integrates with TestRail, designed as a “hub” software, and integrates with automated test providers so that you can manage everything from one place.
While speed remains the primary benefit of Automation Testing, it introduces additional advantages that enhance the efficiency of the software development process.
Below are some of the key benefits of automation testing:
Contrary to common belief, automation testing is more cost-effective over time. Manual testing struggles with repetitive tests, like regression testing, and as software grows, the pressure on manual testers increases. Despite requiring initial effort, automation testing becomes more efficient, reducing errors and completing tests faster, ultimately cutting costs and enhancing software quality.
Engineers face a dilemma when it comes to testing – either conducting tests themselves ( leading to a context switch) and allocating expensive engineering time for less costly QA work. Or, they can wait on a service department, potentially causing bottlenecks and release delays. While Global App Testing's crowd-based approach offers advantages like a 6-hour test return, overnight and weekend testing, and the benefits of a flexible global workforce, achieving instant returns is always preferable.
Automation testing through frameworks like Selenium and Cypress accelerates test case execution, especially beneficial for repetitive tests like integration and regression testing. Faster tests provide quicker results, enabling teams to receive frequent feedback, which is crucial for issue detection and functionality improvement.
This aligns with Agile life cycles, emphasizing iterative processes in each sprint. Test automation ensures accurate and rapid testing, meeting agile teams' needs for swift, comprehensive, and error-free feedback – a feat challenging with manual testing.
With automation handling mundane, repetitive tests, Quality Assurance (QA) professionals can invest time in activities demanding discernment and intellectual engagement. This includes:
Reduced monotonous tasks enhance tester engagement, contributing to improved team morale and higher-quality work. Pair testing can complement automation, allowing QAs to perform quick manual checks and eliminate obvious bugs before code deployment.
Manual testers, being human, are prone to mistakes, while automation consistently executes scripts precisely and records detailed results. Automation guarantees higher accuracy by eliminating human errors associated with fatigue, oversight, or other factors.
Automation testing can provide more detailed heuristics and reports than it is possible to get by a human filling out a form. It's also a different kind of data – a human will describe their experience of your app, which is more subjective and less detailed but matters greatly – especially for bugs a machine can’t pick up.
Achieving comprehensive test coverage for intricate applications poses a significant challenge, particularly with manual testing struggling to handle many test cases simultaneously. The automation of testing processes emerges as a viable solution to this dilemma. Test automation tools significantly augment test coverage and simplify the testing of complex features such as
These tools empower testers to enhance application quality while maintaining seamless functionality. With 100% test coverage, testing teams gain the capability to thoroughly scrutinize past and current releases, closely monitor each build cycle, and effectively evaluate project fixes.
Automation allows developers to run unit tests before code submission, followed by other automated tests (integration, regression, etc.). Early detection of bugs at the creation stage makes them easily fixable with minimal impact. This aligns with the shift-left testing strategy, aiming to identify and resolve bugs early in development, improving software quality and reducing issue resolution time later in the pipeline.
Automation frameworks outperform even the largest QA teams by providing speed, range, and accuracy. For instance, automation tests can simulate the activity of a thousand site visitors for load testing, a task impractical for a manual QA team.
Additionally, automation is essential for cross-browser testing on multiple browsers and versions, whereas Selenium testing ensures efficient testing across various browser-device-OS combinations. Test Automation promotes parallel testing, allowing simultaneous execution of multiple tests for scalability and speed.
Let's explore some of the key disadvantages of automation testing:
Implementing automation testing requires investment in testing tools, infrastructure, and training for the testing team. The initial setup cost can be significant, making it a less viable option for smaller projects with limited budgets.
Automation testing is excellent at executing predefined test scripts, but it cannot replicate human intuition and creativity. Certain complex scenarios may require human testers' expertise in exploratory testing to uncover subtle defects.
As applications undergo updates and changes, automated test scripts may require frequent maintenance to remain relevant and effective. Failure to update these scripts can lead to false test results and inefficiencies.
Automation Testing primarily focuses on functional testing, and it may not be as effective in evaluating the user experience aspects of an application. Human testers provide valuable feedback on usability, which automation alone cannot replicate.
In some cases, particularly with applications with intricate workflows or constantly changing interfaces, Automation testing may face challenges. Creating and maintaining test scripts for such scenarios can be time-consuming and may not yield optimal results.
Developing comprehensive test scripts for Automation Testing requires significant time and effort. Writing and maintaining test scripts can become a resource-intensive task when the application is still evolving.
If an application undergoes frequent user interface (UI) changes, automated test scripts may become outdated, leading to test failures. Ensuring the scripts are updated promptly becomes crucial, adding to the testing overhead.
Automation testing may sometimes produce false positives (indicating a defect that does not exist) or false negatives (failing to detect an actual defect). This can lead to wasted effort in investigating non-existent issues or missing real problems.
Successful implementation of automation testing depends on the skills and expertise of the testing team. If the team lacks proficiency in writing and maintaining test scripts, the effectiveness of automation may be compromised.
In our 2022 Webinar, The Automation Paradox, we talked about some research by our friends in TestRail about how businesses typically overestimate the % of their testing suite, which they will automate year after year. In TestRail’s annual survey, businesses identified that they would automate a further 20% of their suite; and every year, they automated less than 1% more. This optimism can often lead to miscalculations regarding the amount of labor needed.
It's essential to prioritize the automation of tests based on their desirability, as it may not be possible to automate every test you would like to.
You may choose to prioritize according to any of the following schemas:
Although most tests can be automated (theoretically – all tests can be automated) – here are the most common categories of automated tests.
Code analysis consists of different testing tools, including dynamic analysis and static analysis.
You can apply different ones to tackle separate tests. For instance, some look for possible security flaws, while others check for usability. To run these tests, the developer will need to write code. However, once this has been done, there’s no human interference for the rest of the testing process.
Unit testing is all about checking individual components of the software or product, as you would developing iOS technology for an iPhone or Android for Samsung. This means that each software element is fully tested before the finished version is. Developers can write these tests, but now that automation testing has come into play, there’s no need. Businesses would typically deploy these types of tests in the software development phase of the production process.
This graph shows the unit test life cycle:
Integration tests, also known as end-to-end tests, are often more complicated to set up than some other tests. The application models are integrated and tested as a group. This means that communication between each module can be tested to figure out how well they work as a whole.
Automated acceptance tests (AAT) are similar to behavior-driven development (BDD) and automated acceptance test-driven development (AATDD). The acceptance test is created before a new feature is developed. It sets a precedent for the feature to meet and is usually written by developers, the business, and quality assurance (QA) in tandem. In the future, they can also be used as regression tests.
Smoke testing is used to check whether the product is stable or not. If it’s unstable, it gets sent back to the developers and marked as an ‘unstable build.’ They can then run further tests if needed to identify the root cause of the problem.
This diagram shows how the smoke test process works:
Regression testing:
Resource optimization:
Consistent and reliable testing:
The automation testing best practices and process in general, are well-known to technology professionals, particularly developers. To implement automation testing from the beginning, you need to follow a systematic approach. The following is an outline of the automation test process, beginning with selecting the appropriate test tool and ending with test execution.
Choose the test tool that best fits your requirements. Depending on your testing goals, different automation testing tools may be suitable. For example, if you aim to identify specific software bugs – code analysis automation testing tools may be more appropriate.
Some popular test automation tools and web apps available in the market include Selenium IDE, WebDriver, UFT, Ranorex, Cucumber, TestComplete, and Appium. Many of these tools provide tutorials, and some are open source, so it's important to thoroughly understand each tool and its potential benefits for your testing process.
Define the specific area of testing that will be automated and determine its extent. During this step, assess the current state of your team, prepare the necessary test data, and set up the testing environment.
Automated testing minimizes the need for human intervention, allowing tests to run even when the team is not actively engaged.
Consider the following factors when determining the scope of your automation testing:
During the planning stage, it is crucial to formulate a robust testing strategy. This involves:
1. Tool selection – Choose the appropriate automation testing tool based on project requirements.
2. Framework design – Develop a suitable automation framework to guide the testing process effectively.
3. Feature definition – Clearly define the features and functionalities to be covered by the automation tests.
4. Goal setting – Establish clear goals to articulate the desired outcomes of the testing effort.
5. Timeline Creation – Collaborate with the development team to create a detailed timeline for scripting and executing test cases.
6. Scope Definition – Clearly outline the scope of automation, identifying both in-scope and out-of-scope elements.
Once the groundwork is laid with a carefully selected test tool and a thought-out strategy, it's time for the execution stage in automation testing. Here, the planned tests come to life. Depending on the specific tests chosen, developers may dive into coding, get familiar with Web Services Description Language (WSDL), and use the tool's API or user interface for automated test execution.
Before the tests kick-off, a round of API testing might be in order to ensure everything integrates seamlessly. As the automated tests run their course, they generate detailed reports, offering a comprehensive snapshot of testing progress. These reports become valuable assets for analysis, providing insights for future tests.
Ongoing maintenance is an integral part of the automation testing process, especially if future tests are planned using reusable test scripts. Even with prepared scripts, updates may be required to align with any changes to the automation test tool. Ensuring the scripts remain up to date is essential for subsequent test runs.
Ongoing maintenance also provides reassurance as the team progresses to the next stage or backtracks to run another test. You're more likely to receive an accurate outcome when a method has been repeatedly tried and tested.
When diving into unit testing frameworks, teams should get familiar with key features like runners, assertions, screen capture, and test suites and their integration with continuous integration (CI). Noteworthy frameworks include JUnit for Java and Pytest for Python.
In the tech scene, sticking to proven testing protocols is crucial, especially with continuous delivery (CD) and continuous testing (CT).
Automation holds the potential to revolutionize business operations.
So, feel free to experiment with various tools to find the most suitable one, considering the uniqueness of each business and its software.
Global App Testing is agnostic about the best tools and software for automation testing. But the following tools are popular, and we know that our clients have experience with them:
Selenium is one of the most widely used open-source test automation frameworks for web applications. It provides a suite of tools for automating web browsers across different platforms and supports various programming languages like Java, C#, Python, and more. Selenium WebDriver is particularly popular for browser automation, while Selenium Grid allows for parallel test execution.
Appium is an open-source automation tool specifically designed for mobile app testing. It allows you to write and execute tests for Android, iOS, and Windows apps using popular programming languages such as Java, C#, Ruby, and Python. Appium supports both native and hybrid mobile applications, offering cross-platform compatibility.
JUnit is a widely used unit testing framework for Java applications. It provides a simple and elegant way to write repeatable tests and has extensive community support. JUnit facilitates test automation at the unit level, ensuring that individual units of code work as expected.
TestNG is another popular testing framework for Java applications, offering more advanced features than JUnit. It supports various types of testing, including unit, functional, and integration tests. TestNG provides powerful annotations, test configuration, parallel test execution, and advanced reporting capabilities.
Cucumber is a behavior-driven development (BDD) testing tool that allows you to write tests in a human-readable format. It uses Gherkin syntax, enabling collaboration between business stakeholders and technical teams. Cucumber supports multiple programming languages, including Java, Ruby, JavaScript, and more.
Jenkins is a leading open-source automation server that enables continuous integration and delivery (CI/CD) processes. It provides extensive automation capabilities for building, testing, and deploying software projects. Jenkins allows you to automate test execution, generate test reports, and integrate with other tools in your software development pipeline.
TestComplete is a comprehensive test automation tool that supports desktop, web, and mobile applications. It offers record and playback functionality, making it suitable for both technical and non-technical testers. TestComplete supports various scripting languages, including JavaScript, Python, and VBScript.
Apache JMeter is an open-source tool designed for load testing and performance measurement of web applications. It can simulate heavy user loads and analyze the performance of web servers, databases, and other resources. JMeter supports distributed testing, allowing you to scale tests across multiple machines.
In automated testing, balancing automation with manual testing is crucial for an optimal user experience. Human input, especially in areas like exploratory and functional testing, complements automation, enhancing overall testing effectiveness. External testers offer a fresh perspective, providing verification and aligning well with agile methodologies.
Crowdsourced testing further enriches testing efforts, tapping into a diverse community to uncover subtle bugs. This approach, coupled with automation, ensures comprehensive test coverage and rapid bug detection.
In summary, the careful blend of manual and automated testing optimizes resources, improves feedback cycles, and facilitates efficient product launches.
If you're unsure where to begin or lack the expertise, consider outsourcing your software testing to Global App Testing. Our global team of testers is ready to deliver a comprehensive solution, incorporating both manual and automated testing to meet your specific needs.
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