With the ever-evolving technology and changing trends in the software industry, automation testing has become an integral part of software development. Automation testing is a process that helps to reduce manual efforts and improve the efficiency of testing. It is also utilized to automate repetitive tasks and ensure consistency in the testing process.

In the upcoming years, automation testing is expected to become even more important and popular. Companies are now seeking ways to optimize their testing processes and ensure that their software is of the highest quality. While the current automation testing strategies are already effective, here’s a set of new strategies worth the attention and adoption: 


QAOps is the latest trend in automation testing, combining quality assurance (QA) and operations (Ops) to develop a more efficient, streamlined approach to testing. This approach allows for continuous testing, faster feedback on code changes, and better visibility into the development process.

At its core, QAOps brings together the development, operations, and quality assurance teams to ensure that all stages of the software development life cycle are properly checked and monitored. This approach helps to identify problems earlier in the development process, so they can be addressed and fixed quickly.

QAOps also helps to reduce the number of manual tests that need to be carried out, as automation testing takes care of the bulk of the testing. Automated tests can run continuously, and with fewer manual tests, the development team can focus more on developing features and ensuring quality. The QAOps approach also allows for a more agile approach to software development.

Automated Performance and Security Testing

Performance testing is a significant part of automation testing, as it helps to identify any performance issues that may be impacting the system. Automated performance testing tools can help developers quickly identify and fix performance issues, ensuring that the system is optimized for maximum performance.

Cybersecurity is a major concern for organizations, and automated security testing can help organizations ensure that their systems are secure. Automated security testing tools can help developers identify and fix any security vulnerabilities before they are exploited.

Scriptless Automation Testing

It is an innovative approach to software testing that focuses on testing without the need for complex scripts. This type of testing is gaining traction in the software testing industry as it offers a number of advantages over traditional scripted automation testing.

Scriptless automation testing helps to reduce the amount of time and effort needed to complete a test by eliminating the need to write and maintain complex test scripts. Instead, the test engineer can use a graphical user interface (GUI) to create and manage test cases. This makes it easier to create and modify test cases quickly, which can save time and money. Additionally, it reduces the potential for errors due to manual scripting or coding errors.

This testing provides more flexibility than scripted automation testing. It allows testers to design tests that are tailored to the specific needs of the application being tested. This flexibility allows testers to create tests that can be reused across various applications and platforms.

Model-Based Testing

Model-based testing is a testing strategy that uses models to examine the system under the tests. It helps to identify potential issues early on in the development process and can significantly reduce the time and cost associated with manual testing.

Model-Based Testing (MBT) is a method of software testing that generates tests, analyses results, and provides feedback on the quality of the system under the tests (SUT). It is an automated process that generates tests for system or software components using model-based approaches such as model checking and theorem proving. MBT models are typically developed from system needs, design, or architecture. MBT typically entails developing a model of the system under a test, producing tests from the model, running the tests, and analyzing the findings.

A/B Testing

A/B testing is a powerful tool utilized by website owners, marketers, and software developers to find out which version of a website or application performs better. It is a method of experimentation used to compare two versions of a page or application against each other to determine which one is more effective. A/B testing helps identify which version of a design, feature, or content will be more successful in achieving the desired goal.

This works by randomly assigning a group of users to one of two versions of a page or application (A or B). The two versions are then tested to determine which one performs better. This is performed by measuring several key performance indicators (KPIs) such as click-through rate, conversion rate, or time on site. By measuring these KPIs, website owners and marketers can identify which version of the page or application is more successful in achieving the desired goal.

Headless Browser Testing

Headless browser testing is the latest trend in web testing and has been growing due to its ability to quickly and accurately test websites and web applications. A headless browser is a web browser that can access web pages without a graphical user interface (GUI). Alternatively, it runs commands and scripts directly through the web page’s source code. This allows for improved test coverage and faster testing results, as well as improved performance on complex web pages.

One of the key benefits of headless browser testing is the ability to test and debug websites on multiple devices and browsers. By running tests on multiple devices and browsers, developers can ensure that the website performs optimally across all platforms. This is especially crucial for websites that are designed for mobile devices, as any issues that arise on one platform can instantly be identified and fixed.

This type of testing is equally beneficial for developers who need to test webpages with dynamic content or third-party services. By running tests on a headless browser, developers can test how a web page or application works with different JavaScript frameworks and libraries, and can also identify any conflicts or compatibility issues with these services.

Shift Left Testing

This approach to testing focuses on shifting testing activities to earlier stages in the software development process. It is based on the idea that earlier detection of defects and errors leads to better quality and more efficient development.

Shift left testing is typically divided into two parts: first, the testing process is moved to the left in the software development timeline; second, the testing process is automated. By automating the testing process, developers can quickly detect and resolve the most common problems, saving time and money.

One of the primary benefits of shift left testing is that it enables earlier detection of bugs and errors. By moving the testing process to an earlier stage in the development timeline, developers can address any issues early on and prevent them from becoming bigger issues later on.

Microservices Testing

In the world of software development, microservices have quickly become the go-to solution for many developers. With the ability to break down complex applications into smaller, more manageable services, microservices offer a unique approach to software development that allows businesses to scale and iterate quickly.

Microservices testing is a process that evaluates each independent service separately, ensuring that each one is working correctly before being integrated into the larger application. By testing each service individually, businesses can reduce the amount of time needed to find and fix issues, improve the stability of the application, and keep costs down.

AI-Enabled Automation Testing

In recent years, Artificial Intelligence (AI) and Machine Learning (ML) have become the latest buzzwords in the tech world. From self-driving cars to automated customer service, AI and ML are being used to revolutionize the way we interact with technology.

AI and ML represent a branch of computer science that focuses on the development of algorithms that can develop decisions and take action on their own. These algorithms are based on data and can learn from experience in order to improve their accuracy and performance. AI and ML are being used in a variety of industries, from healthcare to finance, and they’re revolutionizing the way businesses operate.

Blockchain Testing

Blockchain testing is a specialized form of software testing that focuses on verifying the integrity of the data stored on a distributed ledger. This testing process involves verifying the accuracy and security of the data stored on the blockchain, as well as ensuring that the distributed ledger is functioning correctly. It also involves testing the behavior of the distributed ledger, such as its scalability, performance, and security.

The primary goal of blockchain testing is to ensure that the distributed ledger is functioning as expected. This includes testing the correctness of the data stored on the blockchain, as well as its reliability and security. Additionally, it’s significant to make sure that the distributed ledger is resilient to malicious attacks and can handle large amounts of data.

Real-time Testing

Real-time testing is a trend that is becoming more important as software becomes more complex and time-sensitive. Real-time testing allows for instantaneous feedback on the performance of the application and can identify potential issues before they become major problems.

Real-time testing is essential to ensure that an application, system, or network can handle the demands of a live environment. It is essential to ensure that any changes made to the system or application do not cause unexpected errors or performance issues. Doing so helps to reduce the risk of downtime or user dissatisfaction.

Geolocation Testing

Geolocation testing is especially important in today’s globalized economy, where businesses need to ensure their applications and websites are available and functioning properly in different countries and regions. With geolocation testing, companies can assess the performance of their applications in different countries and locations in order to ensure that their customers are getting the best experience possible.

In the age of digital transformations, geolocation testing has become increasingly vital for businesses. As businesses move more of their operations to the cloud and mobile devices, it’s essential for them to have a way to test the performance of their applications in different countries and regions. Geolocation testing can help companies identify and address any potential issues that may arise.

Camera Image Injection Testing

The advent of digital photography influenced the way we capture and store images. Cameras are now capable of capturing high-quality images in a fraction of the time they used to take. However, the quality of the images produced by these devices is not always ideal. Image injection testing is the most recent advancement in camera technology that enables the detection and rectification of image quality faults.

Image injection testing is a process that involves injecting a series of test images into the camera to identify any flaws in the quality of the images being produced. These test images are then compared to a reference image and any discrepancies are highlighted. This allows for quick and accurate detection and correction of any potential issues with the camera.

Biometric Authentication Testing

It is a type of identity verification that utilizes biometric data to validate an individual’s identity, such as fingerprints, voice recognition, facial recognition, and iris or retinal scans. It is growing rapidly as a method of enabling secure access to sensitive data, such as financial and medical records.

Biometric authentication testing is designed to identify potential vulnerabilities in the system and ensure that the data are kept safe from unauthorized access. The testing process involves analyzing the system’s hardware and software components to identify potential weaknesses that could be exploited by malicious actors. It also evaluates the system’s security protocols, including encryption and access control measures, to ensure that the system is secure from external threats.

Summing Up 

Automation is no longer a luxury for software teams. It has become a part of the mainstream, and those who haven’t yet turned to the advanced forms of it are losing out on opportunities to redefine the way they perform and deliver under their testing capabilities. Understanding and embracing the advanced forms of automation will help the early birds deliver excellence that is unmatched and it will reflect in the ultimate customer loyalty for the product.

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Written by Infiwave Solutions