In the recent years of the technological revolution, automation testing has grabbed the limelight. Although manual testing still holds an important position in the software testing process, automation is quickly replacing several nuances of this time-consuming and error-prone testing approach. For example, test data automation is a great achievement for improving the SDLC.
Previously, application testing focused on discovering and troubleshooting software errors. However, with the evolving requirements of the customers, the objectives of software testing have also changed.
Presently, businesses need to focus on optimising time-to-market metrics, introduce automation in mundane manual tasks, make operational processes more efficient, enhance resource utilisation and improve team productivity to ultimately deliver a remarkable end-user experience.
Automation testing in the software release management process empowers enterprises to successfully reach their business goals by accelerating and streamlining the entire product delivery process without compromising the quality.
According to a recent report published by Markets and Markets, the global automation testing market expansion will continue at a rapid pace and is anticipated to reach USD 49.9 billion by 2026, at a CAGR of 19.2% during 2021-2026.
7 Test Automation Trends Dominating in 2022
Cross-Browser testing in a cloud-based environment
Writing different codes for different operating systems, devices, and browsers has become a thing of the past.
- With technological advancement supporting cross-platform application development, it has become vital to introduce automation across multiple browsers and testing environments.
- Organisations venturing into cross-platform software development are embracing cloud-based cross-browser testing techniques to minimise infrastructure costs and improve scalability.
- Such advanced processes enable software release management QA teams to test their web applications effectively across a wide array of device-OS-browser permutations and deliver exceptionally high-quality products.
The automation testing market is witnessing a new trend- hyper-automation.
- In simple words, hyper-automation leverages the combined capability of machine learning, artificial intelligence and advanced automation technologies.
- It involves the augmentation of human capabilities and facilitates scalable, flexible and Rapid product development. Hyper automation has penetrated into several facets of software testing, including test data management.
- With hyper-automation, QA teams now have the potential to deploy digital testers to minimise human intervention and completely automate the testing process.
- Apart from testing, businesses can also leverage other advanced technologies to improve their overall operational efficiency. Business Process Management(BPM), Machine Learning (ML) and Robotic Process Automation (RPA) are examples of a few advanced technologies for improving operational efficiency.
Also read : What Is DataOps, And What Are Its Advantages?
Smart test execution
Previously, the software testing process involved devoting hundreds of hours to execute a multitude of tests against each build. But smart test execution is quickly changing the testing scenario.
- Smart test execution combs through your software codebase and searches for modifications in your code. It then executes testing on the modifications to validate their accuracy.
- It introduces an added channel of compliance during the codebase testing. It automatically identifies and defines the particular tests required to run for the particular check-in. Therefore, the number of tests reduces drastically without compromising quality.
- Consequently, smart test execution saves significant time and costs and minimises resource requirements in a particular testing process.
Hire experienced software professionals today to smoothly introduce advanced automation such as AI, smart test execution, test data automation, etc.
4. Codeless automation testing
The next big technology that has taken the automation testing world by storm is codeless automation. Software testers can now save considerable time by automating the mechanisms for writing and executing test scripts.
- A report by Future Market Insights highlights the demand for cordless automation testing. According to the report, codeless automation testing demand will increase at 15.5% CAGR between 2021 and 2031 and is expected to reach US$ 93.6 billion globally.
- Codeless automated testing eliminates the need to write thousands of code lines, regardless of the application’s type and size.
Some benefits of codeless automation testing include the following:
- Since the test cases don’t use a code, non-technical stakeholders can analyse and review them.
- Individuals without any similarity with programming languages will also become capable of generating and building test cases.
- Since the learning curve is minimal, test case formation can be spectacular fast, making the entire automation process quick and efficient.
Codeless testing automation combined with efficient test data management can reap superior results in the application engineering domain.
5. Non-functional testing
One of the most vital metrics defining a software product’s success is the customer or end-user satisfaction. Thus, non-functional testing is crucial to enhance the product’s efficiency, performance and usability while minimising production risks and expenditure.
Some fundamental non-functional testing includes:
- Security testing
- Performance testing
- Stress testing
- Accessibility testing
- Disaster recovery testing
- Infrastructure testing,
- Load testing
6. Continuous testing
Testing in the early phases of application development is incredibly important and valuable. And organisations realise it.
- Introducing testing in each phase of the application development process allows developers to get feedback quickly about the developed code and detect critical issues that might have been left undetected until later.
- Continuous testing supports several modern software release management approaches, including as DevSecOps and CI/CD integration.
- When early testing is combined with automation, it delivers remarkable results for an organisation. This trend will ride the high tide of popularity in 2022.
7. Mobile automation testing
It is not a new discovery that mobile users have increased tremendously. Therefore, mobile testing has evolved much more than just being a buzzword in the industry.
With more prevalence of mobile applications and evolving demands for software updates, there is more pressure on mobile application developers to make them faster, better performing and responsive for the end users.
The following are some top mobile testing trends dominating in 2022:
- Changing release schedules (since mobile applications are released very often)
- The utilisation of open-source tools
- Increasing leverage on Artificial Intelligence and Machine Learning
A report published by Market Research Future (MRFR) states that the global Mobile Application Testing Services Market is predicted to increase at a CAGR of 19.61% during 2020 – 2030.
By introducing automation in mobile application testing, QA teams will have the power to improve regression test cases, support test data automation, enhance testing productivity, optimise product delivery time, and ensure greater customer satisfaction.
With increasing competition in the software engineering industry, it can be said that all automation testing businesses must keep these trends under consideration while testing the products.