Feb 11, 2020
Latest Software Testing Trends For 2020 and Beyond
With the ongoing improvements and widening scope in the software testing industry, more and more businesses have started investing in this segment in order to attain flawless outputs and improve their user experience.
Ongoing Evolution in the Software Testing Industry
With the rapid adoption of recent technologies and businesses investing in the software development sector, software testing is taking a new spin. The latest tech approaches, including DevOps, Agile, and IoT are encouraging the web development segment to collaborate with the testing industry so as to bring accuracy and effectiveness in the outputs delivered. And as the technology updates and customer demands grow, every day a new term is introduced in the software testing services so as to meet the customer requirements and go beyond their expectation level. Every year we get to hear a lot of new trends, some of them gain wide appreciation while some are a flop.
Well, as we have already entered 2020, it’s high time that we acknowledge the latest software testing trends that are expected to remain in the market this year and in the coming time as well.
Let’s get started!
Top Software Testing Trends for 2020
Here we have list down the popular software testing trends that are expected to overrule the industry at the global level. You might have already heard of a few trends and some might be new to you, well we are here to discuss the advancements in the existing ones and study the new ones. So, here you go!
1. Big Data
2. Machine Learning
Machine learning is not at all a new term that needs an introduction. Well, in 2020, machine learning is going to come up with new concepts while helping in various aspects such as- optimize the test suite and search for unique code checks, predicting the main test configurations depending on the previous checks, improving the log analytics and identifying the checks to be carried out automatically, and even identify the defects and high-risk application points. So, ML and AI are going to help software testing enter the new stage and experience next-gen evolution.
3. DevOps Development
In recent times, testing is no more a process that is carried out at the end of a product lifecycle; rather it is now carried out at the beginning of the development process and is continued till the final launch of a product. At this point, writing and testing processes are going to get closer so as to ensure continuous iteration. It will make sure that any changes carried out in the development process will not hamper the final product at any cost. So, testing a product thoroughly and regularly is the only secret to end up with an ideal product that the customers will simply love.
4. Test Automation
5. IoT Testing
6. Test Mechanization
Test mechanization will ensure that the tests are more precise than before and are completed adequately. For attaining this, various instruments will be used during product testing. Carrying out the tests will enable the analyzers to contrast the genuine outputs with the normal outputs using the tools customized for each module. Relapse tests that usually needed iterative activities will be now mechanized.
7. Cyber Security Testing
With the digital evolution on the hype, the chances of data threats and other malicious activities will automatically multiply. And business owners can’t afford to compromise on their business data and not the customer data either. At this point, they have started realizing the significance of security testing of their products, apps, and services before they bring it in the market.
8. Blockchain Testing
9. Performance Engineering
Till now, testing was only confined up to verifying a product’s performance. But from now on, the meaning of testing will transform while widening its reach to other components as well- convenience, practical use, customer value, and configuration quality. The whole credit goes to the integration of testing as a stage- parallel development, where you can easily divide a test into various parts. By this, the quality assessment will become more accurate and we will be now able to implement test automation successfully.
