Discover the latest software testing trends for 2023, including AI and ML testing, virtual and augmented reality testing, and heaps more.
The Future Is Here:
Latest Trends in Software Testing
For guaranteed success, this guide serves to prove beneficial for those interested in the latest software testing trends and technologies.
The software testing market is growing rapidly as more and more organizations recognize the importance of Quality Assurance. Software outsourcing is only part of the process and companies must constantly find solutions using the latest technologies to deliver high-quality software to guarantee the success of their products or business.
The technology landscape shifts ever so often so it is important to make sure that your company is always innovating and advancing to stay ahead in a competitive market. Implementing the latest software testing trends and technologies allow companies to develop, validate, deliver and operate the software in the best way possible.
A company with quality software testing services using the latest testing technologies will significantly lower costs during the software development process as well as offer numerous other benefits. For guaranteed success, this guide serves to prove beneficial for those interested in the latest software testing trends and technologies.
Top Software Testing Trends in 2021
Codeless Automated Testing
Built on visual modeling and Artificial Intelligence Technology, codeless automated testing allows QA engineers to test case scenarios without knowing how to code. Software testing technologies are on the rise especially codeless automated testing. It accelerates the testing process by reducing the time that is spent on recurring test cases.
Some of the advantages of codeless automated testing are:
- Simple to review
- Low learning curve
- No wasted resources
Machine Learning and Artificial Intelligence for Automation
Artificial Intelligence(AI) usage continues to grow in every facet of technology due to the number of apps that are making their way to the market. Machine Learning(ML) and AI technologies allow companies to improve their automated test strategies.
It is expected that more AI apps will be heading to the testing zone so that companies can keep pace with recurrent releases. Both ML and AI testing will be able to do this with the help of analytics and reports. However, ML technology is one of the latest trends in testing, a fairly new concept that is expected to grow over the years.
Things you can expect when both AI and ML technologies combine are:
- Test Suite Optimization
- Log Analytics
- Defect Analytics
- Predictive Analytics
Automated Testing In Agile Teams
One sure way Agile teams achieve superior quality and instant feedback is through automated testing. Agile support teams are better able to perform recurring jobs, identify bugs, and test coverage.
This method provides high test coverage in every sprint when working in Agile to help businesses save a great amount of time, manpower, and cost. This trend is gaining popularity and will be beneficial to companies to help their team optimize the testing process.
IoT and Big Data Testing
The Internet of Things is a fast-growing concept and will soon accept the 5G standard. It has released several new gadgets and testing methods in the marketplace. The combinations for testing are numerous and allow for testing between devices, protocols, platforms, and Operating Systems.
While most businesses have not integrated the IoT testing strategies, it seeks to ensure companies have the right specialist and tools to perform the task. IoT testing technology offers great assistance when dealing with big data.
The advantages of big data testing are as follows:
- Help companies build marketing strategies
- Validate information
- Create data-driven verdicts
- Improve consumer targeting
The performance of an app can determine the success of a business which is why performance engineering is needed. Any issues after the app is introduced into the market can cause millions of dollars in loss.
Most companies are now reconsidering their priorities and are taking a more consumer-focused approach on every stage of the SDLC. The reason for this is to solve and prevent any performance issues at the very beginning of the developmental procedure. This trend is the reason we have been seeing more frequent releases and shorter development cycles of apps.
DevOps and Agile
The combination of DevOps and Agile is most preferred for several organizations because they are designed to favor swift deployment and strong teamwork between developers and QA engineers.
While Agile is the go-to for development and testing, DevOps is known for the association of cross-departments. Together, they facilitate top-quality products at an impressive rate.
Key benefits to this combination when using Agile are:
- Faster time to market your product
- High productivity
- Reduced rates
- Identify bugs in the initial stages
- High-level quality standards
Blockchain-powered services are the best fit for progressively leading enterprises worldwide. Providers in the automotive and financial field may need to store a ton of data securely and need to use blockchain technology.
However, this may come at a price as blockchain testing comes with the highest adoption costs, privacy, and compliance issues just to name a few. It is a complicated procedure that includes, encryption, decryption, validation, and transmission of heaps of data.
Cybersecurity and Risk Compliance
With higher cybersecurity threats present, businesses are putting security testing at the top of their list to ensure the safety of their data. It is of utmost importance to perform security testing on a company’s system, network, applications, and software to guarantee that the data is safe and has no holes, code errors, or leaks.
As one of the latest trends in testing, security testing reduces the damage associated with cybercrime. Companies large and small are all targets so it is better to be safe than sorry. Security testing can secure data as well as money and will continue to be a priority as long as cybercrime continues to grow.
Benefits of security testing include:
- Secure data and money
- Catch weak points before attackers
- Fix any hole, error, or leaks susceptible to attacks
Quality Assurance engineers and software testers are involved in each stage of the SDLC instead of being just restricted to software testing. QAOps seeks to bring operations, testers, and developers together to guarantee the best end product.
DevOps as mentioned before cuts down the SDLC time and allows teams to fix bugs, build features, and push regular updates. QAOps strengthen the communication between developers and testing engineers by including software tests in the Continuous Integration and Continuous Delivery pipeline.
QAOps is not only for large tech businesses as this practice can be scaled high or down to fit companies of any size and can be defined in 2 main principles:
- Quality assurance actions are integrated into the CI/CI pipeline
- It provides QA testers and software developers an opportunity to work together through the CI/CD process
Autoscaling CI/CD Runners for supporting parallel tests
To fast-track the software testing cycle, test automation is the one method to save time and effort. However, to get faster results and maximize profits, DevOps testing groups will look to auto-scale CI/CD runners to match the speed of agile.
The parallel test provides the opportunity to run a test script over multiple test environments at the same time or test multiple test scripts simultaneously. Auto-scaling runners will seek to handle trouble with several servers to handle queues in a professional manner in the event of parallel testing.
Robotic Process Automation
Robotic Process Automation(RPA) tools cover a wide area in the QA and software testing sector. RPA reduces the time it takes for software testing which in turn leads to reducing funds. It helps companies to perform more comprehensive tests to retain high stability.
Companies can integrate this trend almost immediately since the cost is relatively low and requires no out-of-pocket investments. Artificial Intelligence and the software testing ecosystem have seen improvements that pave the way for RPA.
AI, IoT, Cognitive Computing, RPA, and ML all seek to transform sectors and reinvent the business process management side of things. One trend that is going to rise and be in great demand in 2021 is Hyper automation. Hyper automation reduces human involvement in digital and physical tasks by combining AI, RPA, ML, and business management software.
Mobile Application Automated Testing
As the name suggests, mobile application automated testing does not need much description.
Almost everyone has a gadget in their hands today so the need for apps is growing rapidly. Millions of apps are listed on different operating systems on a day-to-day basis.
Mobile application software testing will always be in demand as the mobile app market grows. Smartphones are becoming more powerful and capable of performing many other tasks to meet distinct user needs. For this reason, more comprehensive testing needs to be done for these complicated apps.
In a world driven by exponential changes driven by technology and digital transformation, implementing the latest software testing trends is guaranteed to set you up for success. With the development in various industries businesses and individuals alike are always on the hunt for software companies that use the latest testing technologies.
Don’t get left behind, embrace these new trends since they are the most important ones to look for in 2021. Some of the latest software testing technologies are in their infancy stages but with time, they will grow and will be implemented by various software testing companies and QA engineers.
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