New technologies are being brought to the world every day, leading to new testing approaches. Here are a few software testing trends that will rise in 2019.

1. 10 SOFTWARE TESTING TRENDS
TO LOOK FOR IN 2019

2. With the emergence of Agile and DevOps, the software
industry is opening new doors leading to the evolution of
new testing approaches. It is becoming mandatory for
quality assurance professionals to keep on top of their
game to stay relevant in the industry.
Scroll through to know the 10 software trends to watch out
for in 2019.
rockinterview.in

3. rockinterview.in
Digital Revolution with Agile
Agile Methodology tops the latest trend in digital
transformations. Businesses are going through various
digital shifts since the value for data has increased. Agile
method helps to align digital transformation initiatives with
business challenges, objectives and use cases. As
transformation has to be an ongoing process, valuable
changes and updates can be delivered faster with agile.

4. rockinterview.in
IoT Testing and its Types
As technology is gaining more traction, there are more
devices connected to IoT than ever before. IoT testing is
conducted to test IoT technology based devices. The
various types of testing for IoT systems are Usage Testing,
Compatibility Testing, Accuracy & Scalability, Testing,
Data Integrity Testing, Security Testing and Performance
Testing.

5. rockinterview.in
Turning Tables with Machine Learning
Machine Learning is changing the process of workflow.
It can be used for test suite optimization, predictive
analytics, log analytics, traceability and defect analysis in
the field of testing.
These processes help identify unique test cases, predict
key parameters of software testing processes, identify test
cases which need to be actioned immediately, extracting
keywords to achieve test coverage and identify high risk
areas of the application.

6. rockinterview.in
Testing with Big Data
Focused on performance and functional testing, Big Data
testers are required to verify that TBs (Terabytes) worth of
data are processed successfully using the commodity
cluster and similar supportive components.
The quality of data is also a critical factor in big data
testing and hence, is verified before the testing begins.
Various characteristics like conformity, accuracy,
consistency, validity, duplication and, data completeness
are the base characters for checking data quality.

7. rockinterview.in
Increasing Application of DevOps
The testing process begins at the beginning cycle in
DevOps. This facilitates Continuous Integration and
Continuous Delivery; allowing testers to perform them
and validate whether the application built is right or not.
To ensure there are no changes in the core product and
its code, the testing team has to align the test design, test
automation, and test case development with DevOps.

8. rockinterview.in
Performance Engineering for
Better Results
Focus from performance engineering will move to
performance testing in 2019. It’s going to be about
analysing how system elements will work together rather
than just implementing performance test scripts.
It’s is all about combining and emphasising on the items
of highest value and delivering these items fast to ensure
a high-quality product and exceed customer
expectations.

9. rockinterview.in
Test Automation
The significance of the test automation is to help the
testing team on creating test cases rather than managing
testing needs while ensuring that high quality softwares
are delivered.
Specialized tools are used to discipline the execution of
tests to compare the actual results against the expected
results. Relapse tests that require repetitive actions are
automated. Automation tools are used for both functional
and non-functional testing.

10. rockinterview.in
Reducing the Delivery Cycle
The software development team is now under pressure to
deliver finished products faster and more often as rapid
changes are taking place in technologies, platforms, and
devices to deliver the finished products faster and more
frequently.
Need for test management tools will increase as
companies invest more in improving their development
and delivery processes.

11. rockinterview.in
Fusing Automated and Manual Testing
Many quality assurance professionals are using a
combination of manual and automated testing
approaches to harness the benefits of both the methods.
However, manual testing is a dominant method, because
areas like usability and design still require this manual
intervention.

12. rockinterview.in
Integration
Along with faster delivery, the need for integration of
various channels and elements is also increasing. To
facilitate smart testing and analytics, the data is collected
from distinct sources such as requirement management
systems and change control systems. Thus the tools that
enable these are also in demand, tools that can combine
and stock data of different modules that can be shared
and used.

13. rockinterview.in
Conclusion
To think one step ahead, be on top of the trends and keep
updating yourself with latest trends and practices.
Preparing for the future is the only way one can be
immune to the disruptions in the industry.

14. rockinterview.in
UPGRADE YOURSELF
WITH ROCK INTERVIEW
DOWNLOAD THE APP