As we know, the scope of automation testing has been growing rapidly in recent years. Software companies are using the automation testing approach for testing their software application or web applications. There are various benefits of automation testing on the cloud rather than physical devices and infrastructure for the testing process.
According to the latest report by “GMinsights”, the value of automation testing is estimated at approximately USD 20 Billion. It is expected to exhibit a CAGR of approximately 15% in the next decade, 2023-2032. This increase is due to the adoption of advanced technologies among software companies and enterprises. Also, this will grow in the future. Automation testing is taking its place in various new technologies. In this article, you will see the various future trends and innovations in automation testing.
Future Trends and Innovations in Automation Testing
Now, let us see future trends and innovations in the automation testing field.
● QAOps
QAOps is growing exponentially in the field of automation testing these days. It consists of two terms: quality assurance and IT operations. QAOps uses the DevOps-based approach to execute the automation testing process, delivering high-quality software. QAOps is a growing trend in software testing that integrates QA (Quality Assurance) into the software delivery pipelines. It helps the testing team work directly with the operations and development teams.
There are various benefits of QAOps, such as helping to learn constantly. Learning constantly helps the testers give their best in the automation testing process, increasing productivity and software efficiency. Also, it provides better team collaboration that helps ensure the software application’s continuous delivery, establishing a healthy relationship between the QA, developer, and operational team.
● Scriptless Automation Testing
Scriptless automation testing is a major trend in the field of automation testing. Scriptless automation testing helps developers and testers with a powerful interface. Using this interface, the testers can develop automation testing suites without writing scripts. Hence, it gives the advantage of automating the software testing without writing any script. These tools work in a very smart way for the tester. When the tests do any activity while navigating the software to generate different tests, this tool observes and records the activity.
Scriptless automation testing has many advantages, such as reducing other testing costs, hence achieving a good ROI. Also, in scriptless automation testing, we know there are very few or no scripts required, and the effort is reduced significantly. Offers more flexibility in environment setting and getting started for the testers. You can use the scriptless automation testing with various other tool integrations for various test purposes such as UI testing, end-to-end testing, etc. All these advancements make scriptless automation testing a future trend.
● Headless Browser Testing
The testing that is done to examine the headless browser functionality and features without loading the GUI is known as Headless Browser Testing. A headless browser is defined as a browser having no user interface and not containing any GUI. We can not say that the GUI is absent in a headless browser, but the GUI is hidden in a headless browser. When you perform website testing for a normal web browser, the test is done by loading the GUI components. But there are some issues with that type of browser testing.
One of the major issues is that, in this case, the testing loads several GUI components that load massive data; alternatively, the test speed degrades. Also, this increases the testing process’s time consumption. Headless browser testing reduces time efficiency, improves performance, provides multi-functionality of browser testing, and helps to deliver a featureful software application. These features make it a very trendy innovation in automation testing.
● Shift Left Testing
Shift left testing is the process in which the movement is pushed toward the early stages of the software development cycle. The objective of Shift left testing is to build high-quality code, eliminate any kind of code-patching, and facilitate proactive collaboration. It also saves testing time and money. In general, you can perform more unit testing to recognize problems when introduced.
Testing enters the picture at the very end or to the extreme right of the pipeline. Shift Left Testing pushes testing to the “left,” i.e., to earlier stages in the pipeline. The Shift Left approach intends to identify and resolve bugs as early as possible in the development process. This testing helps to increase the software testing time, lowering the cost because early bugs can be fixed with less money. It also improves the software testing quality.
● Artificial Intelligence and Machine Learning Testing
Artificial intelligence and machine learning testing are immersive technology fields emerging exponentially. Artificial intelligence and machine learning are also used in the automation testing process. AI and ML are used for a predictive model to recognize various features and functionalities for automation testing purposes without human intervention. It makes the QA and developers team leverage AI and ML to make their software automation testing process efficient and featureful.
Test cases that are unimportant or less priority tests can be removed from test suites, and keyword inspection ensures that the best possible test coverage is achieved. Test cases may be reused, a large amount of data can be examined, and thorough test reports can be produced with the help of AI and ML testing. ML-enabled analytics can assist by identifying underutilized parts, even when humans cannot predict user behavior and reaction. With the help of past data, the insights can be used to forecast future events. The benefits and use cases of AI and ML automation testing make it a trend for testers and developers.
● Blockchain Testing
Blockchain is one of the most sought-after technology domains in the world right now. This is due to the rise of ledger-based technology around the globe. The cases used in the blockchain are awesome. It has become one of the trendy technologies in automation testing. Blockchain testing helps in various ledger-based activities, from securing financial transactions to sharing enterprise and organizational data sharing. Blockchain testing covers all these tasks.
Blockchain testing aims to check the security and reliability of the shared ledger system. It secures the safety and reliability of various blocks. Apart from security, blockchain testing also helps in related blockchain tasks. These tasks include testing load capacity and scalability of the databases and ledgers. Blockchain testing follows the agile methodology of software development for the testing process. These security and data transfer features of blockchain testing make it a trendy hub in automation testing.
● Geolocation Testing
Geolocation testing is another technique that is a rapidly growing sector in the automation testing field. Geolocation testing is the process of collecting data from users of different devices such as computers, mobiles, tablets, etc., and identifying the physical location of the users across the globe. Geolocation testing uses all the devices connected through the Internet to gather user information in real-time. You can also get the pinpoint user location at any time.
Geolocation testing evaluates the geographical capability of internet-based devices and mobile applications. Because local laws are not the same at every geological location around the globe, web developers need to ensure that the apps and websites they create must be according to local laws to avoid putting their clients in any kind of illegal rule violation. Apart from that, there can be circumstances where an application solely depends on geolocation. Geolocation testing is therefore necessary to guarantee that all of these situations are carried out accurately. Hence, it is a trendy and innovative topic in automation testing.
● Biometric Authentication Testing
Biometric authentication testing is becoming very trendy these days. It has been implemented in various tasks of work. Whether it is your office attendance, document verification, or examination center, you can see the use of a biometric authentication system everywhere. There are many reasons for the popularity of biometric authentication testing. It includes network logon, which provides a high-quality mobile application experience to the end users. This testing comprises some part of the physical makeup for the authentication. The physical part may be in different forms, like fingerprints, eye iris scanning, or any other physical character to authenticate.
Leading banks and other businesses offer convenient and safe mobile experiences by enabling users to sign into their apps or validate transactions using their biometric data. It follows that the importance of biometric validation in mobile application testing will only increase. There may be more situations in the future that require not one but two types of biometric confirmation. All these advanced features and use cases of biometric authentication testing are trendy topics in automation testing.
Conclusion
Automation testing is the process of testing your software application by using various automated tools and technologies. You can leverage cloud testing platforms like LambdaTest to scale your automation game further.
LambdaTest is an AI-powered test orchestration and execution platform to run manual and automated tests at scale. The platform allows you to perform real-time and automation testing across 3000+ environments and real mobile devices.
One of LambdaTest’s key strengths lies in its robust support for real mobile devices, allowing testers to validate the functionality and responsiveness of web applications on actual smartphones and tablets. This capability is crucial in today’s mobile-centric landscape, ensuring that applications are compatible with various browsers and optimized for diverse mobile platforms.
With LambdaTest’s AI-driven features, testing teams can efficiently manage and execute their test suites, leveraging parallel testing to enhance speed and efficiency. The platform integrates seamlessly with popular automation frameworks like Selenium and Appium, offering flexibility and compatibility for diverse testing scenarios. This simplifies the testing process and provides users with valuable insights through detailed reports and analytics.
Automated testing has various advantages, such as saving time, increasing testing efficiency and performance, reducing human effort, and many more. Automation testing is growing and will continue to grow in the coming years. There are various fields in which automation testing will flourish. These fields are QAOps, Scriptless automation testing, Headless browser testing, AI and ML testing, Blockchain testing, Geological testing, etc.