Software Testing Trends in 2021, IOT Testing, Big Data Testing, Codeless Automation, Agile & DevOps, Blockchain Testing, and Security Testing.
Software Testing Trends
1. Codeless Automated Testing
Codeless automated testing, or codeless automation, is the process of creating automated tests without writing a single line of code. Codeless automation lets teams automate the process of writing tests scripts regardless of skill level.
2. Mobile Application Automated Testing
The trend of mobile app development continues to grow as mobile devices are increasingly more capable.
To fully support DevOps, mobile test automation must be a part of DevOps toolchains. However, the current utilization of mobile test automation is very low, partly due to the lack of methods and tools.
3. Increasing Demand for IoT Testing
IoT testing is a type of testing to check IoT devices. Today there is an increasing need to deliver better and faster services. There is a huge demand to access, create, use and share data from any device. The thrust is to provide greater insight and control, over various interconnected IoT devices.
4. Increasing Demand for Big Data Testing
Data Analytics and Visualisation testing are used to understand the volume of the data. The big data ecosystem testing validates the veracity of the data. The migration and source extraction testing validate the velocity for data. Finally, performance and security testing are done to validate a variety of data
5. Cyber security testing and risk compliance
With the growing sophistication of emerging tech, cyber-attacks keep increasing. Effective security testing solutions can prevent breaches by assessing vulnerabilities and addressing gaps in your cyber system early in your SDLC for better velocity, quality, and costs.
6. Blend Of Agile And DevOps
The adoption of both Agile and DevOps helps the teams to develop and deliver quality software faster, which in turn is also known as “Quality of Speed”. This adoption has gained much interest over the past five years and continues to intensify in the coming years too.
7. Artificial Intelligence for Testing
Although applying the artificial intelligence and machine learning (AI/ML) approaches to address the challenges in software testing is not new in the software research community, the recent advancements in AI/ML with a large amount of data available pose new opportunities to apply AI/ML in testing.
8. Chatbot Testing
Chatbots have continued to conquer the tech world as part of robotic process automation (RPA). To increase efficiency and quick responses, companies all over the globe have employed chatbots 24×7. Bots allow minimized expenses and with support with providing a better user experience. Chatbots provide support to millions of retail stores, financial institutions, brands, etc.
9. Blockchain Testing
Blockchain is a shared database store continuously growing list of records, called blocks. Each block contains a hash of the previous block and a timestamp.
To guarantee trust, testers must ensure that all the components of a blockchain are working perfectly and that all applications are interacting with it in a trusted manner. Some of the core tests that should be run include functional, performance, API, node testing, and other specialized tests.
10. Security Testing
Web users share lots of private information online. We login to websites and apps using Google, Apple, or Facebook accounts, enter the details of payment cards in various e-commerce sites, social security, and tax numbers in online banking systems. The more technological society becomes, the more seriously they should treat sensitive data and user privacy. And QA professionals have a significant role to play in this process.
Software Testing Trends in 2021
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