The IT industry is characterised by a constant influx of new trends and waves since technology is constantly changing and evolving. Software testing is one such sector that is consistently adversely impacted by technological advancements. This has been particularly evident in the area of software design, development, distribution, and so forth. For instance, testing mobile apps was one of the hot trends in software testing in 2014, while script less testing was hot in 2015. Mobile web testing became one of the most common Software Testing Training Trends in 2016 as the focus shifted to mobile-friendly websites. Cost reduction, market responsiveness to the digital transformation, and other factors started to take centre stage in shaping the software testing industry trends.

1. Syntax Technologies
Trends in Software Testing to Watch for in 2022

2. The IT industry is characterised by a constant
influx of new trends and waves since
technology is constantly changing and
evolving. Software testing is one such sector
that is consistently adversely impacted by
technological advancements. This has been
particularly evident in the area of software
design, development, distribution, and so
forth. For instance, testing mobile apps was
one of the hot trends in software testing in
2014, while script less testing was hot in 2015.
Mobile web testing became one of the most
common Software Testing Training Trends in
2016 as the focus shifted to mobile-friendly
websites. Cost reduction, market
responsiveness to the digital transformation,
and other factors started to take centre stage
in shaping the software testing industry trends.

3. We'll examine the Top 10 Software Testing Trends for 2022 in this blog. Although the list is by no means
comprehensive, it would encompass the current trends in software testing that are consistent with the
developments in the broader software testing industry.
10 Up-to-Date Software Testing Trends for 2022
Applied Machine Learning and Artificial Intelligence
 One of the Trends in Software Testing that has received the most attention recently may be this
one.
 In the realm of software testing, the use of artificial intelligence and machine learning is still in its
infancy. However, it is already clear that there is a lot of buzz surrounding the potential for these
technologies to change testing.
 AI aims to employ automation through ML in the area of software testing to provide better results.
 Algorithms based on AI and ML aid in the creation of better test cases and test scripts. Additionally,
it aids in the creation of test data that is particular to the application modules being tested.
 Artificial intelligence, one of the key new developments in software testing, can be
helpful in identifying any testing gaps and forecasting test coverage even before the test
is run.

4. DevOps and Agile
 This is one of those trends in software testing that has been active for a while.
 DevOps is considered as a response to the desire for speed, whereas the Agile methodology has generally been an
answer to the difficulty of adapting to rapidly changing requirements.
 Small, independent teams, speedier product releases, and shorter product life cycles are all features of the Agile
approach. Additionally, continuous integration, quicker delivery, and frequent deployments are key. The overarching goal
is to increase user pleasure.

5.  The concept of uniting the Development and Operations teams forms the foundation of the DevOps culture. It covers
guidelines and procedures that support communication and activity integration between the two teams.
 Organizations looking to reduce the time between software development, operation, and delivery consider DevOps as a
feasible option.
 The introduction of QAOps is one of the current trends in software testing with regard to the DevOps culture. The
foundation of QAOps is the merging of QA and DevOps (Quality Assurance).
 The foundation of QAOps is the integration of the testing process into DevOps and the collaboration of QA testers with
developers.

6. Automating Process Robotically (RPA)
 Technologies are closely related, therefore progress made in one area
will inevitably affect developments in related areas.
 Robotic Process Automation (RPA), which is steadily gaining traction as
one of the main Software Testing Trends, has been favourably fueled by
emerging technologies like Machine Learning, Artificial Intelligence,
Internet of Things, Cognitive Computing, and others.
 RPA is a type of automation technology that is based on the
development, deployment, and management of software robots that
mimic human behaviour when interacting with digital systems and
software.
 Robotic Process Automation, one of the major new developments in
software testing, can assist in automating routine processes to
eliminate the need for human interaction. It lessens the tester's
workload as a result.
 These software robots can extract data, browse systems, understand
the message displayed on the screen, make the appropriate keystrokes,
and carry out a huge variety of predefined activities.

7. Automation Testing
 This is one of those trends in the software testing industry whose
significance was made even clearer by the adoption of the DevOps
mindset.
 The DevOps paradigm views test automation as a crucial procedure
since it enables continuous testing (CT) and continuous delivery
(CD). This is achievable as a result of automation testing, which
makes it possible to launch numerous scripts that may be run at
any time. This makes it easier to test several configurations and
systems concurrently and gives more flexibility for comprehensive
manual testing.
 Additionally helpful for accelerating release cycles, ensuring the
delivery of high-quality software, and boosting test coverage is
automation testing.
 Costs can be cut through optimising the use of resources.
 The test results produced by automation testing are believed to be
more trustworthy because it involves the use of automation
technologies in the execution of test cases.
 Popular test automation tools like Selenium, TestComplete,
Katalon, and others have only increased the effectiveness of
automation testing.

8. Security Checks
 Investment in Security Testing has become one of the latest trends in Software Testing as a result of the sharp
increase in cyber-attack and data breach situations.
 Application quality testing, software security testing, and server attack defence are all examples of security
testing.
 As a result, there are various sorts of security testing, including API security testing, security audits, and
penetration testing.
 Integrity, authorization, confidentiality, availability, non-repudiation, and authentication are all goals of security
testing.
 The cloud environment that a company may use for testing and deployment is another target of security
testing.
User Research
 User testing is one of the future trends in software testing that is expanding quickly.
 One of software testing's non-negotiable goals is to ensure a positive user experience. As a result, one of the
key themes in software testing has been the validation of user experience.
 User testing is a technique that involves using actual people as testers to evaluate the features and user
interface of software, services, and websites.
 This is one way to get important input on how customers feel about the product directly from them. This aids
in adding ideas that can enhance the final result.

9. Testing IoT
 All physical things with computing power, sensors, software, and other technologies that link to and
exchange data with other systems and devices through the Internet are included in what is known as the
Internet of Things (IoT).
 The number of IoT devices that are actively used is expected to increase steadily and reach 50 billion by
2030. This suggests that one of the most recent trends in software testing has been the development of IoT
Testing.
 IoT networks are incredibly complicated because to how tightly they are integrated. This makes the necessity
of evaluating these devices even more critical.

10.  Data centre, network connection, sensors, and applications make up the IoT platform. It will be crucial
to lay out a distinct testing plan for each of these components while undertaking IoT testing.
 A dependable and secure network is essential for the success of IoT testing. It must be carried out by
testers who are highly qualified and have extensive expertise evaluating embedded hardware or
software.
Ethereum Testing
 Through 2021, terms like cryptocurrency, blockchain technology, and non-fungible tokens (NFTs)
became popular buzzwords, and they will probably continue to be used often in the years to come.
 Blockchain Testing has become one of the top Software Testing Trends for 2022, despite the fact that
people have been working hard to develop these technologies in the hopes of earning enormous
profits.
 The Blockchain technology facilitates transactions involving cryptocurrencies or NFTs. Furthermore, they
involve enormous sums of money, therefore guaranteeing their security is essential for protecting
people's financial holdings around the world.

11. Chatbots
 The intense demand on the service industry has
increased the necessity for chatbots to be
implemented as front-line responders.
 This was particularly true of the work-from-home
culture, which gained popularity as a result of the
Covid epidemic. Many businesses embraced chatbot
help as remote working became the new standard to
improve customer experience.
 As chatbots grew increasingly important in not just
answering questions but also assisting millions of
people across a variety of industries by being
accessible 24/7, this has developed into one of the
present and future trends in software testing.
 One of the key components of robotic process
automation is testing, which is necessary for
chatbots to perform well (RPA).

12. Data Testing in Big
 Big Data and analytics testing are becoming increasingly important as the significance of big data grows.
 Big Data Testing aids in guaranteeing data integrity when unstructured data is converted into useful business insights.
 Big Data can be characterised by five key traits: volume, value, velocity, variety, and veracity. As a result, handling such
data necessitates end-to-end testing in order to reduce the risk of failure.
Conclusion
Technology is a very dynamic area of study. Software Testing Course is undoubtedly one of the disciplines that has been
greatly impacted by the constantly developing technological breakthroughs. This led to the development of continually
emerging trends in the software testing industry. In this blog, we've discussed some of the current and emerging trends in
software testing, including DevOps and automation testing, as well as RPA and AI. Overall, these Software Testing Trends 2022
are ones that are anticipated to dominate the testing industry throughout the specified period. It will be fascinating to see
how new patterns develop over the coming years.