6 Important Software Testing Trends to Watch in 2021
Corptec Technology Partners
Atlassian Gold Partner | Salesforce Partner | HubSpot Partner
Software testing is beginning to transform. It is always innovating and advancing with the shifting technology landscape, from AI to ML. In addition, the software testing industry is quickly expanding. Did you know that in 2019, the Software Testing Market was valued at over USD 40 billion? And is predicted to increase at a compound annual growth rate (CAGR) of over 6% from 2020 to 2026?
Because software testing is so crucial, every company needs to stay on top of their game as we enter the next decade. But how can they achieve that? Check out these 12 intriguing software testing trends that we believe will be big in 2021 to take your software testing game to the next level.
We now know that forecasting the future is far from simple — the year 2020 has taught us all that. Looking ahead with renewed excitement, we foresee the most important software testing trends for 2021, just as we predicted for 2020 last year.
Let's have a look.
The following are the top 9 software testing trends to watch in 2021:
1. No code automation testing
Codeless test automation technologies are based on Artificial Intelligence and visual modelling, allowing for the rapid creation of test cases for test automation. QA engineers may design test case scenarios with zero coding skills and reduce the time spent on recurring test cases with such great automated testing solutions. One of the software testing trends to watch in 2021 will be the increased adoption of codeless automated test technologies.
The following are the advantages of No-code test automation platform :
Simple to analyze: These test cases are clear and understandable for people who do not know how to code because they are generated without any code. As a result, even non-technical stakeholders in the project can easily review such test cases.
Low Learning Curve: Test cases can be developed with automated codeless testing even if the user has no prior experience with programming languages or coding. As a result, learning and writing test cases does not need any more time or effort.
Reduced cost and effort : With codeless automated tests, QA engineers don't have to learn new programming languages, and they don't have to hire a new individual with coding abilities. As a result, resources, costs, and time can all be easily saved.
Productive: Because the learning curve is gradual and the construction of test cases does not necessitate complex syntax, the test case creation process is quick and efficient, boosting the entire automation process' efficiency.
Opkey is a no code test automation platform that enables testers and BAs to create test automation scripts – Zero Code Way (Can run these test cases in any automation tool).Allows testing of complex business logics application were application makes call to webservice.
2. Machine Learning and Artificial Intelligence for Automation
It is projected that AI usage will continue to grow in simply about each facet of creative technology because of the growing number of apps we use on our interconnected planet. Current investment in Artificial Intelligence is anticipated to be USD 6-7 billion in North America alone. By the year 2025, Artificial Intelligence overall global investment is expected to reach?almost $200M.
Through the use of analytics and reporting, software testing and quality assurance teams can improve their automated test methodologies and keep up with recurring releases by leveraging Machine Learning (ML) and Artificial Intelligence (AI). Software testers, for example, can employ AI algorithms to identify and prioritise the scope for more automated testing. AI-powered test programmes may optimize test suites after detecting superfluous test cases and ensure optimal test coverage by inspecting keywords from an RTM, in addition to sorting out software test workloads.
ML is the foundation for smart automation. According to the Capgemini World Quality Report, 38% of businesses expect to implement Machine Learning initiatives in 2019. This figure is expected to rise in the coming year, according to business analysts. Even though human intelligence still has a difficult time forecasting end-customer behavior patterns, Machine Learning-enabled foretelling analytics can help human intelligence by discovering underutilized areas of apps. Using available historical data, these insights can be used to forecast likely user behavior factors.
?3. Automated Testing in Agile Teams
Test automation is the only way to test high test coverage in every sprint while also providing the improved quality, immediate feedback, and response that we seek when working in Agile. Without automated testing, an Agile project becomes a staged waterfall project. When 44% of IT organizations automate 50 percent or more of all testing in the past year of 2019-2020, automated testing has become mainstream. In 2021, we predict that test automation use will continue to rise.
“The global test automation market size is expected to expand from USD 12.6 billion in 2019 to USD 28.8 billion by 2024, at a CAGR (Compound Annual Growth Rate) of 18.0 percent over the prediction period,” according to a recent MarketsAndMarkets analysis. Automated testing enables teams to complete recurrent tasks, find defects quickly and precisely, maintain a feedback loop, and test coverage. As a result, incorporating test automation into QA processes can quickly save firms a lot of people, time, and money.
According to a Gitlab poll, automated testing is getting a lot of traction, with 12% of firms completely automating their testing operations. Such recent advancements in automated testing increase Quality Assurance's productivity and support teams' early bug discovery, recurrent job execution, constant feedback, and test coverage.
4. Rising Demand for IoT and Big Data Testing
The Internet of Things (IoT) is a rapidly evolving technology concept. The 5G standard will soon be accepted by the Internet of Things. It introduces a slew of new gadgets to the market, and the possibilities for testing protocols, devices, platforms, and operating systems are endless. The demand for performance, security, compatibility, usability, and data integrity testing will increase as the software testing and QA market grows. Only a small percentage of businesses use Internet of Things testing methodologies. This trend, however, is expected to continue in the following decades.
Companies are already behind the curve, with only 41% having a well-developed Internet of Things testing strategy in place, and 30% intending to include Internet of Things technology into their products. Big data is in a similar situation. The proliferation of IoT apps has resulted in increased data volume generation, necessitating the use of big data testing by large e-commerce corporations such as Amazon. As a result, big data testing has a positive impact on an organization's ability to evaluate information, make data-driven decisions, and increase market strategizing and targeting.
Another important factor driving the adoption of big data testing is the fact that data is the new standard for developing marketing strategy. Every year, business processes become more sophisticated, therefore big data testing requirements will continue to grow in 2021.
5. Demands for cybersecurity and risk compliance is intensifying.
The industrial revolution ushered in a new era of cyber-threats. Security tests are a top priority for industries that care about data flow and don't want any holes, code errors, or leaks. With the growing technology sectors moving quickly, the amount of information keeps rising, making security tests a top priority for industries that care about data flow and don't want any holes, code errors, or leaks. Overall, prioritizing the implementation of a security test pays off in virtually every scenario. Security testing of systems, networks, apps, and software continues to be emphasized by CTOs and CIOs from practically every firm across all verticals. The developer team can continue to collaborate with the test teams and their partners to ensure that their products are risk-free and secure.
However, by the year 2020, security tests have emerged as the most important developing trend in QA and software testing. The report covers the three main objectives that justify its inclusion as a separate subject: Increasing security awareness across all industries, improving product and software security, and performing security checks earlier in the SDLC. According to a recent survey, 52% of respondents say they are having trouble with security support as well as other technical issues while developing the current app. In light of this analysis, it is apparent that security will be the most pressing issue in 2021.
According to Cybersecurity Ventures, the annual cost of cybercrime is expected to reach USD 6 trillion by 2021. We've compiled five key figures on hacking, data breaches, industry-specific information, as well as prices and spending, to offer you a solid picture of the current condition of overall security.
Testing for cybersecurity helps secure not only transactions (whether data or money) but also the security of their end-customers. Because cyber threats can manifest themselves in any form and at any time, security exams will remain a hot topic in the coming year. Here are some compelling reasons why you should not overlook this:
Before the attackers do, security testing provide you with an insight of your company's weak points. Data breaches are exacerbating the already vulnerable position in which businesses find themselves in the middle of the 2020 pandemic, therefore penetration testing saves a lot of money. Cybersecurity tests ensure that if downtime occurs, it isn’t as expensive and damaging as if you were not ready.
6. For Supporting Parallel Tests, AutoScaling CI/CD Runners
Test automation is an attempt to reduce time and effort by speeding up the software testing cycle; nevertheless, parallel test execution is the only approach to maximize profitability. The ability to run a test script in several test environments at the same time or to test many test scripts at the same time. Organizations will look forwards to deploying automated tests in 2021, just as they did this year, using frameworks like Selenium Grid, which offers parallel testing.
The DevOps testing teams will welcome the ability to auto-scale Continuous Integration/Continuous Delivery (CI/CD) runners to match agile's speed, as the tests unit will gain from the ability to test cases in parallel. In the case of parallel testing, such autoscaling runners will handle the ups and downs across multiple servers on their own to handle queues properly. This allows teams to choose the best resource allocation without having to wait for builds.
Final Thoughts
So there you have it: the 6 most essential software testing trends to watch in 2021. Now, we understand that a lot of what we discussed above isn't widely discussed, but it is the future, and you must adapt to it. As we all know, change is the law of life, and it is here to stay, therefore staying ahead of it is critical.
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