Top Software Testing Techniques to Follow in 2019
                     Top Software Testing Techniques to Follow in 
2019
Software testing and quality assurance have evolved dramatically. From a basic quality testing 
approach to a more developed, active, “fit-for-purpose” decisive role, quality assurance is 
now quality engineering in a real sense.
Every year the aggressive technology and digital transformation trends change and effect the 
role of software testing. Let us have a look at a few of the extensive software testing trends 
and subjects that will rule the scene in 2019.
1) Agile And DevOps
        
Companies have adopted Agile as a response to swiftly changing specifications and DevOps as 
a response to the demand for speed. DevOps includes practices, rules, methods, and tools 
that help to combine development and operation exercises to reduce the time from 
development to methods. DevOps has grown a widely accepted solution for companies which 
are looking at ways to decrease the software lifecycles from development to control and 
operation. 
2) Test Automation
To implement DevOps processes efficiently, software teams cannot neglect test automation 
as it is a crucial element of the DevOps process. They require to find opportunities to support 
manual testing with automated testing. As test automation is assumed to be a significant 
bottleneck of DevOps, at the lowest, most regression testing should be automated.
3) API And Services Test Automation
Decoupling the client and server is a contemporary trend in producing both Web and mobile 
applications. API and services are employed in more than one application or element. These 
changes, in turn, need the teams to test API and services independent from the app using 
them.
4) Artificial Intelligence For Testing
Although employing the artificial intelligence and machine learning (AI/ML) advances to 
address the difficulties in software testing is not unusual in the software research 
community, the recent advancements in AI/ML with a large amount of data available pose 
new possibilities to apply AI/ML in testing.
5) Mobile Test Automation
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. Though, the current utilization of mobile test automation is very low, partly due 
to the lack of techniques and tools. 
6) Test Environments And Data
The accelerated growth of the Internet of Things (IoT) means more software systems are 
operating in various environments. This places a hurdle for the testing teams to guarantee 
the right level of test coverage. Certainly, the lack of test environments and data is a top 
difficulty when applying to test in agile projects.
7) Integration Of Tools And Activities
It is difficult to use any testing tool that is not combined with the other tools for apps 
lifecycle management. Software teams require to combine the tools used for all 
development stages and activities so that multi-source data can be associated to apply 
AI/ML approaches efficiently.
Conclusion
These are the growing Software Testing types that one should watch out in 2019 as we are 
in a world of modern exponential changes driven by technology and digital transformation.
Businesses and individuals need to stay informed of the developments in the market. 
Continuing with these trends would allow test specialists, organizations, and teams to stay 
ahead of the curve.