Software Testing in 2020: 7 Biggest Trends



The software development process has greatly increased in value after its remarkable success in providing highly demanded, yet high-quality products within a quick time period. QA specialists are now researching new and better testing techniques to meet increasing customer demands, especially because of the competitive market and newly emerging technology. As a result, several newly emerging techniques and approaches are coming forward. 

There are a number of popular software testing trends introduced in 2020, which are listed below. 


Testing for Agile and DevOps

Agile and DevOps are the most popular software development concepts that deserve a mention. Both these software testing trends focus on enhancing the quality of the products. Agile methodology is more focused on the essentials of testing including testing in the process of development, instead of a separate stage. Subsequently, DevOps is a consistent cycle that focuses more on reducing the time period of the testing period. It is expected that, in the near future, companies are more likely to enhance the quality of products by adopting the DevOps philosophy for their testing process. 

Big Data Testing

Big data has also gained momentum. It is expected that the Big data service market and technology are most likely to grow in the years 2020 to 2024 as they shoot up from $23.1 billion dollars and reach a peak of $79.5 billion dollars, as per reports by Mordor Intelligence. A number of influential companies work with big data for whom, the testing of Big data is as huge a task as managing huge amounts of information itself. To make sure that you have a high-end quality of big data, you need to have a thorough approach for its testing - you shouldn’t rely on conventional methods of big data testing. In simpler words, the idea is to emphasize functional testing, as well as performance testing, of software and applications. 

Before you begin with the testing process, data quality needs to be verified first. Testing plays an essential role in the correct strategy for Big data testing and provides a powerful strategy with maximum benefits for your business. It not only aims to minimize your business losses but enhances data accuracy while facilitating your business strategies and decisions. Hence, it can be easily said that Big data testing services will be highly popular in the near future. 


Testing of IoT Solutions

With $6.4 billion connected devices in 2016, a significant rise to $20.6 billion connected devices in 2020 shall be evident as per the forecast by Gartner.  At the moment, more than 50% of It companies that were surveyed do not yet have any strategic approach for IoT software element testing, as reported by World Quality Report 2018 - 2019. However, more than half of these have devised a plan to develop a similar approach. It is important for businesses to adopt IoT testing regardless of the challenges and hurdles that they might face in their context.  IoT testing needs to be a top priority testing in the coming years. However, it will require enhanced QA specialist skills and the use of advanced, modern technology. 

AI and Machine Learning

 Artificial Intelligence has proven to show remarkable and strong results for identifying software bugs via the testing process. results are far more authentic and clear than that of a human alone. For instance, as humans we were not able to differentiate and detect references from images or determine an incorrect texture, however, with Artificial Intelligence, we are able to achieve this goal. 

The testing process was quite effective via machine learning. To be more precise, it is used to recognize test cases that are unique; it can identify test cases that require an automated performance, with the help of historical data, it can predict the testing parameters. Machine Learning is able to defect analysis by the identification of applications at high risk and prioritize for regression tests. 

The Rise of Open-Source Tools

For a better experience, and to cater to their workflow, a number of companies have resorted to the use of open solution testing. Open source tools can greatly influence software quality assurance since they are free, hence people can easily have access to them. Moreover, since these tools have an option for customization, they are high in demand because they can easily adjust to different business testing needs. They might have to face a few security challenges to freely use these open source tools. However, in the software testing sector, they are bound to prosper in the near future. 

Mobile Testing Automation

In today’s global world, there are about 5.15 billion people who own a mobile device, as per GMSA reports. And these figures are soon expected to have a greater reach, which means that mobile app testing will become an essential need.
Mobile app testing has never been an easy task, especially with all these different operating systems onboard. With these different operating systems, a greater amount of testing is required for the same function before the release of an app. To keep safe from any security breaches these mobile devices are run through a greater testing series, especially the ones with an internet connection. All apps have different specifications. For instance, native, hybrid apps and web. An automated testing platform is required to keep these apps up to date. Automation makes the testing process easier by allowing the apps to use the previous test and speeding up the test regression. With a greatly competitive market for software development, mobile automated testing has become an essential need. 

Testing for Blockchain Projects

With Blockchain, companies can achieve greater goals like sharing of data, tracking assets and creating cooperation opportunities. In a survey by Deloitte, it was revealed that 53% of business organizations find technology to be an essential need in today’s global world. However, these companies are also aware of the risks and hazards that technology brings with itself. Third-party application integrations and security issues are two of those concerns. Hence the essential need for effective and strategic blockchain testing has arisen. 

The Closing Statement

If your business or organization is looking for a progressive and stable outcome with security measures then these 7 trends mentioned above are your ultimate resort. These software testing trends will not only provide you with better opportunities but will also keep you ahead of your game. 

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