Those days are gone when QA was treated as a separate department for manual checking of the app’s functionality with very less interaction with developers. The way software is designed and used is undergoing some major changes. Therefore, the role of a software tester is also evolving.
There are more exciting things for QA teams in 2019, with latest trends continuing to usher in original methods of testing code.
Keeping this scenario in mind, we are presenting the list of latest software testing trends to follow in 2019.
1. Increasing Fame of DevOps
According to Statista survey, just nine percent of the respondents had very less or no plans to adopt DevOps. For QA teams this means monitoring and testing are being pushed to universal levels. To keep up with DevOps- where testing begins at the same time as growth for quick rollout- development and testing will have to be roped in even tighter to guarantee continuous integration and delivery. This year, there will be improved alignment between testers and developers that will produce fewer main outcomes. These will include delivering a more flawless verification of code changes.
2. Big Data Testing
The main bottleneck in big data testing is authenticating that the data has been processed successfully. It takes more time to test a bigger quantity of data. Keeping this scenario in mind, I assume that we are going to observe an increase in demand for test platforms that can duplicate the behavior of individual data layers in the operating system. Such connections will guarantee that the latest data is incessantly imported while old data is treated out. This will go a long way in decreasing storage and setup times by removing the requirement to develop a new archive for each iteration.
3. Internet of Things (IoT)
According to Gartner, there will be 20.8 billion smart devices by 2020. IoT devices have their own hardware, however, rely on software for their app to function. As a consequence of this difficulty, operating systems and communication protocols, testers will have to test numerous combinations of all elements involved. In addition, given the extensive range of IoT devices, testers will have to work on IoT testing areas like performance, connectivity, security, and usability.
4. Testing in An Agile Environment
In this world of agility, testers have the ability to adapt quickly to the variations. This would intensify in the future. Changing requests is normal in an agile environment, particularly in the final phases of the sprint. This happens when testers are pressurized by tighter deadlines. In this situation, testers must be transparent regarding the app parts that have been tested appropriately and those still waiting for sufficient testing. Adoption of a software testing tool is also a common practice in an agile environment.
5. Machine Learning (ML) and Artificial Intelligence (AI)
By 2025, the market for Artificial Intelligence is expected to reach up to $190.6 billion. Whereas, the machine learning market is expected to reach up to $8.81 billion by 2022. This technology is deployed broadly, testing will be less regarding arriving at a definite result. Instead of this, anchoring tests around producing numerous possible outcomes, this will assist testers to decide if the conclusion is justified.
