The Future of Software Testing

Which testing technology, tool or practice will be the “next big thing” in Software Testing?

The increasing expectations from the QA engineers

Software testing is an essential process for developing the bug free app. As a QA engineer, it is essential to have certain skills which in turn will help with testing the applications better. In the near future, it is highly possible that to be able to execute only functional or non-functional tests either manually or automatically will not be enough to stay competitive in the market.

https://developerintest.wordpress.com/2016/08/29/predictions-about-software-testing-future/

Automation’s Popularity Will Be Balanced

Surely automation testing have the benefits of increasing efficiency, getting faster regressions and thus contributing to timely project deliveries. It also removes the execution of repetitive test cases or regression cases manually and saves a software tester’s life. It’s obvious that the popularity of the test automation is growing tremendously in the recent years. We could confirm it by just checking the latest test automation tools. Every other year a new test automation tool is introduced in the market.

Source: https://blog.testproject.io/2020/10/19/best-practices-of-striking-a-balance-between-manual-and-automated-testing/

Codeless Automated Testing

Codeless automated testing tend to be more adopted in the future. In order to maximize the scalability of test automation, ‘Codeless Test Automation’ is introduced. Codeless test automation enables the testers and business users to automate test cases without worrying about the coding. It helps to achieve faster results and reduces the time expended to understand the code.

Source: https://testsigma.com/blog/modern-codeless-test-automation-myths-facts/

ML and AI Adoption for the Test Automation

ML (Machine Learning) is an application of AI (Artificial Intelligence) that enables the software to automatically learn, explore, and imagine outcomes without human intervention. Machine learning has been used in various fields, and currently, it is inevitable to use it in software testing process.

Robotic Process Automation (RPA)

Cybersecurity & Penetration Testing

Cybersecurity testing, has been turned out to be a growing trend in Quality Assurance and software tests. Security tests offer you a comprehensive understanding of your enterprises’ weak points before hackers/ attackers do, and assist in detecting areas susceptible to security or cyber threats. Cybersecurity tests guarantee that if any downtime happens, it is not as expensive and damaging as if you were not prepared.

IOT Testing

Presently, a majority of the business operations are adopting Internet of Things (IoT), and the trend illustrates that it is going to be more adopted.

Source: https://data-flair.training/blogs/iot-testing/

Big Data Testing

Big data is the huge amount of data produced at a high speed. Testers have to confirm that terabytes of data are effectively processed using other supportive components and commodity cluster. This form of testing concentrates on functional testing and performance testing.

Conclusion

It is of course not limited only to above mentioned areas, however it gives us an insight for the trends of the software testing. As a conclusion we could say, there will be a lot of changes and challenges in the future from testing tools to testing practices. As we know, whenever a new technology or trend enters the market, it stays longer if it is able to fulfil the majority of requirements and provides ease and comfort to the user. As quality assurance engineers, we should embrace constant development in software development and testing, constantly upgrade our technical skills and our mindsets. And who knows, maybe we will have a robot colleague, who will help us in all testing aspects from writing test cases to auto generate test codes, in our Agile team in the near future.

☕️ Happy testing! ☕️

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Ekrem Kurt

Technology fancier & Quality assurance provider & Blockchain enthusiast.