Over the last decade, several trendy and innovative technologies have emerged and have taken the digital world by storm. To keep up with the demands of these new technologies, an efficient testing process also must be maintained. Nowadays, enterprises do not wait for the complete application development process to test their products but perform tests during the development cycle itself.
Artificial intelligence (AI), Machine Learning (ML), and predictive analysis algorithms have made this possible. Several companies have started adopting an Agile and DevOps testing methodology to detect errors initially, rather than right before deployment.
As mentioned at the beginning of the blog, the adoption of digital transformation has significantly increased over the last decade. Especially since the emergence of the COVID-19 pandemic, software solutions have significantly increased in demand as more people are depending on software solutions for their everyday activities.
Retail stores have introduced contactless payments to office spaces all around the globe focusing on remote work and schools on online education. There is no doubt that virtualization has started to play a pivotal role in our everyday life and it will continue to do so even after the post-pandemic era.
Therefore, it is essential that more enterprises and software development companies create innovative software solutions and applications frequently. Also, the latest updates and changes to older applications must be performed without affecting the functionality of any other modules or sections in the application. To ensure smooth and error-free automation strategies, enterprise manual testers depend on artificial intelligence and machine learning-based tools, algorithms, architecture, etc.
These growing innovative technologies are advancing over the years and have laid the foundation for the developing testing trends as more enterprises are adopting the technologies in testing.
Not only do these trends streamline the experience of everyone with low code testing modules and auto-generated test scripts, but they also ensure that the application is 99% reliable and error-free. For those businesses that promptly realize upcoming trends, the future holds innumerable opportunities to differentiate them from other competitors.
With a comprehensive necessity of revolutionizing the entire software testing experience, it also facilitates businesses and companies to lean into the challenges bestowed by the COVID-19 pandemic and assists them to identify new strategies that they can integrate and build on.
The trends in software development are growing more than ever before with more businesses adopting a digital-first strategy. Therefore there is a wide demand for the implementation of new languages and professional skills in development. This growth in software development has reflected on software testing as well.
Because in order to test these latest technologies and languages much faster than the competitors, testing service providers must be able to quickly integrate new algorithms into existing infrastructure. In some enterprises, even developers have undertaken the testing role to ensure agile testing is achieved, which means the software is tested along with the development life cycle.
Hence, the latest trends in software testing are to meet this demand where the procedure and testing scripts are more easily understandable by non-testers as well. This makes it easier for developers or even project managers who are working on the software development process capable of testing the codes to make sure that requirements are precisely met.
Also, since the testing is performed along with the development cycle, it offers a better-streamlined quality analysis process that removes bottlenecks initially and not at the end of the process. By facilitating the product testing to the end of the development life cycle may prevent on-time code releases, therefore, resulting in a decreased satisfaction ratio among the software development, DevOps, and QA teams.
By being up to date and performing the most advanced testing trends can also help businesses in the release of higher quality codes with considerably lesser errors. Developers can add Artificial Intelligence (AI) based scripts to recognize mistakes and resolve them with surprisingly limited human interference.
Adjusting to these developing trends can help achieve more accelerated software development, with little to no glitches, therefore, tremendously enhancing user experience and customer satisfaction. It not only improves the return of investment for adopting modern testing strategies but can promote business reliability through the delivery of high-quality software solutions.
Now, let us take a look at the growing trends in software testing that will intensify software testing and quality assurance in the coming year and beyond.
Over the last couple of years, Test automation services have earned significant and widespread recognition due to its multiple advantages in testing. Automated testing was recognized as an improvement over manual human employee based testing and was embraced by numerous product manufacturers internationally.
But with the progress in the enactment ratio, another critical hurdle that companies came across was the lack of proficient test automation resources, testers, or service providers. This exceedingly influenced the adoption of test automation until the emergence of a new trend in testing called Scriptless test automation.
Scriptless test automation allowed manufacturers and enterprises to resolve this difficulty of resource unavailability and still have adequate test cases for automating software testing. This was essentially because scriptless was a flexible test automation framework that significantly reduced the number of manual interferences required in designing and managing test cases.
Manual testers could seamlessly assign the test actions rather than creating hundreds of lines of the original testing code. This shortened the time taken to create test scripts and tremendously improved the complete testing scenario.
Most of the time the manual testers will have severe challenges in recognizing the failed results from earlier tests and building new tests based on the test history after every test can also be difficult. This can be significantly time consuming for testers and can delay product releases as manual testers must distinguish previous errors after each and every test, solve them, and build new test scripts to make sure that these previously identified errors are accurately solved or corrected.
By implementing the trending artificial intelligence (AI) and machine learning (ML) capabilities into these testing challenges, manual testers can let the computer perform all necessary tasks of detecting and solving errors. Little to no human interference is required in this as AI computers are capable of solving the need for creating test scripts or identifying errors.
AI and ML can promptly recognize errors and automatically generate new test scripts to ensure this error is solved and not found in the upcoming tests. These trending modern technologies can understand and learn from previous results by themselves without any human interference and generate new test samples to guarantee previous mistakes are not repeated.
A couple of years back, before the emergence of modern software testing trends, the application of regression testing or CI/CD agile tests was impossible to perform. This meant that the testers in an enterprise had to wait for the developers to finish the entire software development life cycle in order to finally test the end product.
This method was extremely time consuming as well as risky because the small errors at the beginning would grow to become large tremendously challenging errors towards the final development cycle. This was also considered to be much more expensive because the final software solution or product will have to go back and forth between development and testing.
By implementing the latest trend of Agile and DevOps-based strategies, companies were able to remarkably enhance the code quality and reduce the overall time taken for testing. This was essentially because tests were administered along with the development process. This means each day as the software codes were developed it would also undergo numerous tests along with it, the outcomes from these frequent tests were added into the existing solution.
Since all the errors in software were simultaneously identified and resolved along with development, software developers or engineers did not have to rework on fixing the complete software solution before delivery but could work on errors module by module from the beginning of the software development life cycle itself.
Such new trends in software testing proved to be particularly beneficial for web and mobile app developments because such software solutions demanded faster time to market with much fewer errors.
Software development and the implementation of new languages and skills are growing and there is no doubt that there will be more software testing trends as well in the coming future. The businesses that embrace these innovative trends to improve product quality, employee efficiency, and customer satisfaction are the ones that can defeat the competition and stay up to date with growing customer demands or emerging market trends.
Ricky Philip is an industry expert and a professional writer working at ThinkPalm Technologies. He works with a focus on understanding the implications of new technologies such as artificial intelligence, big data, SDN/NFV, cloud analytics, and Internet of Things (IoT) services. He is also a contributor to several prominent online publishing platforms such as DZone, HubSpot and Hackernoon