Trends | 09-07-2021 | Ellie Bennington
In today’s fast-growing world, everything is getting digitized. As a result, there has been a drastic shift from manual testing to automation testing. To stay ahead, testers need the right tools to accomplish their task, sync with the latest trends, and manage potential risks. With Automation testing coming into the scenario, we see an enhanced output of the QA professionals. Also, with the correct usage of concepts like Agile, DevOps, Scrum, and Continuous Delivery, software testing has reached new standards.
However, looking forward to it, 2021 is not just another new year. The past year saw unavoidable circumstances of Covid-19, due to which everything started transforming into a digital environment. Some companies had to change them into 100% digital. Due to this, the need for automation testing has increased to another level. More and more companies are adapting themselves to various new automation testing strategies. The pressure to keep up with the latest automation techniques and implement them is high.
But not to get tense and move ahead with optimism as you are at the right place. Also, here’s a site where you can get more information on Ip logins which will help you with it. As a result, we anticipate the top 5 automation testing trends that will take up the future of automation testing.
This technique is accelerated by visual modeling and AI technology, allowing the forming of test cases without coding background. As a result, the QA professionals do not need to put hardcore coding knowledge into the test case scenarios and test cases. This codeless automation testing will also help to reduce the runtime on repetitive issues. This is one of the significant trends to surface I 2021. Other features of this trend include:
Low knowledge curve: High knowledge will not be required to create test cases and scenarios, and hence the user will become accustomed to the ways of working in a short time. This will also help to save resources as new people need not be hired just for coding skills.
Easy reviews: Checking test cases and making minor changes will be easier than editing and debug lengthy programs.
Higher efficiency: Since the technique does not involve complex syntax, errors will be more minor, and maintenance will be more accessible, and hence it is overall efficient.
Agile and DevOps have been emerging as the most loved practices within different organizations. Although there are differences between the two, users have found them to be complementing each other. A person working with Agile will find DevOps to be more accessible and familiar.
Agile helps in quality assurance iterations, whereas DevOps helps to bridge the gap between development and testing. In other words, Agile is a continuous process, and DevOps acts as a collaboration between cross departments. The key benefits of this combination include- increased productivity, reduced cost, faster time to market, better quality standards, etc. Due to these benefits, this combination is ready to be used by multiple organizations at all levels.
Shortly, AI/ML can give a boost to automation testing. These include self-learning algorithms for building and automating test suites. AI will help in the design of the entire process from scratch with minimal human supervision. Moreover, AI has the best feature of saving time.
It helps update the existing test case and remove the redundant test cases, making the process faster. AI and ML also help in predictive analysis, which allows them to identify the potential error that can erupt. It has improved error tracking and management.
The Internet of Things(IoT) is a challenge in the field of automation testing. IoT is an interrelated network that helps the transfer of data with minimal human effort. Even though it has defects, it will become a significant trend in 2021 in automation testing.
IoT has some of the following aspects;
- Penetration testing
- Reverse engineering
- Code reviews
- Threat modeling
- Device testing
- Security testing
IoT has good practicality and ease of use, making it compatible with all kinds of automation testing. In addition, it has data integrity –a feature that describes how components and solutions from Analog Devices can maximize system-level reliability, enabling high-impact applications.
IoT performance test strategy includes:
- User Interface Performance Test
- Network Performance Test
- Internal Processing Performance Test
IoT also helps in reducing security threats which is one of the critical elements in automation testing.
Automation testing trends in 2021 will take over the robotic process automation technique. RPA, along with IoT, will help in the better management of automation reports. In addition, RPA will further reduce human involvement making the entire process of automation testing more efficient.
RPA will generate a list of tasks by watching the user perform them initially and then place them in the system for future use. These steps will be automatically repeated, reducing time-consuming procedures.
These are the most emerging trends that will take over the automation testing industry in 2021 despite the challenges coming in their way.
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