Nowadays Software testing is more than merely detecting and troubleshooting application bugs. Previously, the purpose of such testing was to verify that exported products were of excellent performance and quality. To provide an amazing customer experience, businesses must improve their time-to-market KPIs, automate manual processes, increase resource usage, and grow their team’s productivity. Automation testing assists businesses in meeting their business objectives by speeding up the product delivery process while preserving quality.
The demand for automation testing is at an all-time high due to significant breakthroughs in modern technologies such as IoT, Artificial Intelligence, Machine Learning, and so on.
This article will go through the top few software testing trends in the current software market as listed below.
- Agile & DevOps
- Cybersecurity testing
- Robotic process automation (RPA)
- Cloud-based cross-browser testing
- AI and Machine learning-based Testing
- Codeless test automation
Agile & DevOps
Agile is a software development methodology that emphasizes incremental delivery, team cooperation, continuous planning, and continuous learning. According to Agile, testing is an unavoidable aspect of the software development process.
DevOps is a term that refers to the combination of development (Dev) and operations (Ops) in order to shorten the software development life cycle and manage end-to-end processes.
Companies are implementing Agile and DevOps approaches to reduce software lifecycles from development to delivery and operation while also improving product quality.
Adopting Agile and DevOps allows teams to develop and deliver high-quality software more quickly. Over the last few years, most firms have expressed an interest in adopting Agile and DevOps.
When it comes to software testing, security is always first and foremost. As a result, it is not surprising that businesses will continue to invest in cybersecurity testing in 2022. Furthermore, the numerous software bugs and technological failures of 2021 highlight the importance of thorough cybersecurity testing.
With the technology industry moving at breakneck speed, the amount of information continues to grow, making security testing a top priority for businesses concerned with data flow and avoiding leaks, code errors, and holes. Overall, early security testing is cost-effective in almost all cases.
Ransomware attackers are growing more aggressive and skilled at circumventing security safeguards, while assaults are becoming more complicated and profitable. As a result, quality assurance professionals must be prepared to test for security vulnerabilities and use a variety of security testing approaches. Implementing resilience testing methodologies such as chaos engineering is also an excellent strategy to assure system stability and readiness in real-world settings.
Robotic process automation (RPA)
Robotic Process Automation is used to automate software jobs that run on a regular basis without the need for human intervention.
Bots are specialized computer programs that are used to perform certain tasks on a system, such as changing the amount, calculating the pricing, and so on.
RPA tools are widely employed in a variety of areas, including finance, banking, health care, and customer service.
According to the Research and Markets survey 2020 study, the global market for robotic process automation is expected to reach USD 3.4 billion by 2027, rising at a compound annual growth rate (CAGR) of 28.2% between 2020 and 2027.
RPA reduces costs while improving quality and operational controls.
Cloud-based cross-browser testing
Cross Browser Testing is a testing method that enables us to ensure the interoperability of our program across all browsers used by the application’s end user. Many times, testers do not place a high value on cross-browser compatibility testing. And then push it until the end of the cycle, only to miss it owing to stringent deadlines.
When an end-user has difficulty, the first thought that springs to mind is to try a competitor’s app rather than a different Browser that they are unfamiliar with. That is a loss of crucial money for you. Furthermore, some of the significant yet undiscovered issues may be discovered by a simple cross-browser compatibility check.
AI and Machine learning-based testing
Years ago, AI and Machine Learning seemed unachievable. However, current advancements in software testing trends have enabled us to reap its advantages and benefits. We’ve recently begun to use its practical applications in software development.
In 2019, we will see the deployment of AI and machine learning at the forefront of software testing trends. These two are both important in developing tools that can foresee application behavior and deliver smart analytics.
Apparently, by combining both on software testing, we would be able to achieve maximum outcomes with fewer mistakes.
There are many firms that are implementing test automation with the help of ML and AI these days, and well-performing automation using these comes with a lot of benefits. The main advantage of using ML and AI is that it saves money and time. This is one of the reasons why US companies are leaning toward machine learning and artificial intelligence test automation. According to research analysis, the market is expected to rise by 70%, Gartner. Test.ai, for example, is one of the tops AI automated testing platforms.
Codeless test automation
In recent years, most businesses have been introducing items to the market at a rapid speed in a variety of areas. Working on backlogs may be an unpleasant experience for testers who have spent a significant amount of time learning new sophisticated programming languages.
Scriptless Automation Tools enable teams to avoid spending countless hours scripting. These solutions enable testers to create repeatable and resilient tests by incorporating AI and ML algorithms into a self-healing system that produces consistent results.
In the area of automated testing, codeless automation is the next big thing. By automating the process of generating and running test scripts, testers may now save a significant amount of time.
“Demand for codeless testing will climb at a 15.5% CAGR between 2021 and 2031,” according to Future Marketing Insights.
Regardless of the application’s kind or scale, codeless automated testing eliminates the requirement to create thousands of lines of code. This feature improves testing productivity, dependability, and stability across the SDLC process. Selenium is a popular testing tool that provides codeless automation, allowing developers to focus on creating creative solutions.
With the themes we’ve discussed so far, software testing is gaining traction. Companies are taking great care with their software products, leveraging both paid and open-source solutions. Companies are following these trends in order to bring high-quality products to market.
To stay ahead in an ever-changing business, whether you are a testing professional or an organization, you must be constantly informed of these software testing trends.