To begin with, Automation testing has revolutionized software testing. With automation testing, organizations have witnessed enhanced efficiency in production and deployment, increased test coverage, and new possibilities in test execution. In fact, the advent of automation testing has catapulted the field of testing to all new standards. As a result it becomes more necessary to adopt automation to contemplate what your product should do and predict the possible threats. Therefore, let’s understand more about automation trends
There is a wave of change, with companies beginning or continuing on their journey of Agile, DevOps, Scrum, and Continuous Delivery. Products today can be developed and delivered significantly snappier when compared to yesteryears of manual testing.
A mix of Agile and DevOps
Although, both agile and DevOps have emerged as every organization’s favourite, as both these methods encourage swift development and enthusiastic collaboration between testers and developers. On one hand, Agile is a continuous process of testing and development and on the other, DevOps is critical for collaboration of cross-departments. Although, considering that DevOps and Agile methodologies improve producing quality products at a faster rate, many companies are bound to adopt the methods in the imminent future. The key benefits are:
- Reduction of costs
- Increased efficiency & productivity
- Detection of bugs in the early stages of the product lifecycle
- Attaining the highest levels of product quality standards
- Faster time to market
While Agile principles work successfully in the development and QA iterations, it is a different story altogether when it comes to operations. Here’s where DevOps comes in, as it involves “Continuous Development”, where when the code is written and committed to Version Control, it is built, deployed, tested, and installed on the Production environment and is ready to be consumed by the market.
Codeless Test Automation -Automation trends
Since, codeless automation testing tools are built on AI technology and visual modeling. It is used for the accelerated creation of test cases that cater to automation testing. Having these tools handy, can even help a non-tester to create test case scenarios without any coding knowledge and also reduce the time spent on repetitive test cases to zero. The probability of increased adoption of codeless automation tools being the automation testing trends in 2021 to watch out for is quite high. Therefore, The key benefits are:
- Low Learning Curve
- Easy to Review
- Efficient
- Save resources
Artificial Intelligence Integration in Testing – Automation trends
Since, Self-learning algorithms are going to take the mechanization of testing to a new level. Some applications of artificial intelligence and machine learning in software testing would be:
- Building and automating test suites –
- AI tools can help QA teams design test cases from scratch with almost zero human supervision, and also help in updating existing testing suites to remove redundant cases.
- Increase test coverage –
- Advanced new technology in software testing and data science will help in creating a traceability matrix.
- Predictive analytics –
- With the help of AI and machine learning, organizations will be able to forecast potential challenges and issues based on user behavior and thus mitigate risks before they manifest in the products.
- Bug tracking –
- AI can improve the precision of error identification and tracking.
Adoption in IoT Testing
The Internet of Things (IoT) is going to be the talk of the town in 2022. It is one of the quickest developing innovations in this era and is a challenge for Test Automation. IoT is a system of interconnected computing devices, mechanical and digital machines, and thus provides you with the power of transferring data over a network without requiring human-to-human or human-to-computer interaction.
Therefore, The key benefits:
- Practicality and ease of use
- Compatibility
- Data integrity
- Performance – IoT performance test strategy includes:
- User Interface Performance Tests
- Network Performance Tests
- Internal Processing Performance Tests
- Longevity tests
- High Data Volumes Tests
Robotic Process Automation (RPA)
RPA is going to play a big part in re-inventing business process management.
Hyper-automation, which is a tool formed by the combination of artificial intelligence, robotic process automation, machine learning, and intelligent business management software. It will reduce human involvement in complex tasks as well. This tool will take 2021 by a storm, and change automation testing as we know it.
AutoScaling CI/CD Runners To Support Parallel Testing
Autoscaling CI/CD (Continuous Integration / Continuous Delivery) runners to match up with the pace of agile. It will leverage the ability to run test cases in parallel. Therefore, it will help in efficiently managing queues in case of parallel testing. As a result, teams can go for optimal consumption of resources without waiting for builds.
However current year is going to bring in a lot of interesting technologies. It will help you optimize your business processes. Our Test Automation platform algoQA, is a single platform, with end-to-end automation covering web, mobile, desktop, hybrid, RPA and embedded applications and UI Based Functional Test Automation, API Test Automation and Load Test Automation. It is an orbit shifting innovation and a fifth generational framework saving clients up to 80% of test automation and test maintenance cost, enhancing coverage and reducing business risk.
Therefore To switch paths to automation testing in this coming year, check our algoQA page.
