Top Trends To Revolutionize Software Testing In 2021

Top Trends To Revolutionize Software Testing In 2021

Thus, while the well-known testing method still forms the foundation of software testing, certain new trends are set to redefine the concept of software testing in 2021. They include:

1. Agile and DevOps

Agile is a software development approach that emphasizes the need for collaboration of teams, planning and sustainable learning that leads to gradual deliveries. Therefore, to agile, software testing is an integral and inevitable part of the SDLC.

DEVOPS seems to shorten SDLC and activate the end-to-end process management by combining two main Vertical dev or development and operation or operation. By removing the boundaries between development, operation, and testing, it's:

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Increase the speed of spread

Cut downtime to the market

Promote better ROI

So when adopted, this process helps shorten SDLC and allows the release of superior applications qualitatively. This is not relatively new, but adopting these practices to adapt to the current time will definitely be a trend testing software that is worth watching.

2. Qaops.

It has started the trend recently. It combines QA techniques with operations or operations to ensure additional shipping without sacrificing application quality. The essence of Qaops is related to integrating QA techniques into CI / CD pipes to enable better communication and collaboration between team members. The main benefits of this ideology include:

Superlative product development

Increased ability to meet deadlines

Fast addition new features etc.

The new thought process also sees the possibility of integrating QAOP with Devops. This will effectively combine continuous testing with CI / CD. The benefits produced will be an accelerated product-to-market timeline scale and rapid error detection.

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3. AI and ML

AI and ML potential has not been fully realized. Therefore, the trend of combining AI and ML to automate business processes will continue in 2021. Statistical predictions when placing this popularity in absolute conditions:

AI will grow on a CAGR of 36.6% from 21.5 billion dollars in 2018 to 190.6 billion dollars in 2026

ML Market is scheduled to grow on CAGR 44.1% from 1.03 billion dollars in 2016 to 8.81 billion dollars in 2022.

This growth is mainly because of them:

Facilitating the use of real-time data for better business decision making

Increase the quality of automated software testing by activating fast error detection etc.

Leveraging AI and ML allows the QA team to follow the release of frequent applications and improve automatic software testing strategies. By using the detection of redundant test cases, an AI-powered test application optimizes the suite test. In addition, keyword analysis in RTM maximizes the coverage of the test.

At present, AI is being developed to be used as part of a healing mechanism and visual testing present in automation test equipment. With visual testing AI activated, fewer written tests needed for functional testing the user interface.

The development of AI-powered self-healing mechanisms will reduce costs incurred in the creation of automatic tests, reducing test maintenance, and effectively correcting test script problems quickly.

Smart automation is not possible without ML. While human intelligence is still the main tool available to estimate consumer behavior patterns, predictive analytics of ML applications that are activated can be used to strengthen human intelligence by detecting areas that have not been explored in the application.

For now, the use of ml in software testing is just an interesting possibility. However, the future will carry out analytical-based initiatives to get traction. This will further increase the identification of the problematic area and make it under the scope of the test.

4. Test automation is not time

At present, various types of applications are being developed and released with increasing speed. This means testers need to continue to learn new and complicated programming languages ​​whenever needed. This is a time-consuming experience and frustrating.

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