Significance of AI-powered test automation tools
Artificial Intelligence (AI) technology is creating a huge buzz and is considered to be the future technology. It has revolutionized all the industries by utilizing intelligent algorithms to train the models and perform with logic and accuracy. AI has made its presence in software testing too and has improved the quality assurance process by multiple folds. It has increased productivity, consistency, accuracy, and agility while ensuring reduced time, cost, and effort considerably.
Though the issues in software quality improvement were resolved significantly by codeless test automation tools, speed was still the concern. AI-integrated test automation tools are proven to improve speed like never before and reduce human interference almost completely. Research is being conducted to further improve AI technology to leverage the best out of it.
Benefits of AI-powered test automation
AI testing models are gaining popularity for the greater amount of benefits they offer. It is predicted that the AI-powered test automation models will replace other models in the near future. Here are some of the key benefits of AI test automation:
Improved accuracy: AI testing can improve the accuracy of the process to nearly 100% and automate mundane tasks to reduce human errors.
Higher test coverage: It has been statistically found that the AI-testing process has the capability to perform tests at deeper levels compared to other automated testing processes/tools. It improves the scope of test coverage multiple folds and improves the software quality significantly.
Saves time and money: The intelligent models carry out testing with great speed, hence, reducing the time. Since the testing is performed quickly, the cost of additional resources is also cut down, thereby, reducing the cost of the process too.
Regression testing: Conducting regression testing is a daily affair. Organizations usually set a time and run regression testing every day to check for errors across the system. AI testing performs this tedious regression testing in lesser time than the other models.
Predictive analysis: The AI testing bots have the intelligence to analyze the existing customer data and define the customer behavior in future. This trend can help companies to refresh their operational strategies based on predictive data analysis.
Improved defect tracking: AI-bug tracking is an accurate, automated, and highly consistent process. It identifies even the slightest of error and helps the developer create a flawlessly working system.
Though AI testing is carried out with the common aim of creating an error-free software system, what makes them unique from manual and codeless testing is their intelligent approach. The machine learning capabilities allow them to analyze and perform the task. Their predictive approach is yet another add-on that keeps the organization future-proof.
Top AI-powered test automation tools
AI-driven test automation tools are slowly making their way into the market, with all major companies trying to implement this intelligent model. AI-powered test automation has revolutionized the software testing methodologies to get nearly 100% accurate results within a lesser timeframe. Here is a list of some of the top AI-powered test automation tools that are available today.
Testim: Testim is a test automation tool popularly used to carry out functional testing. It leverages the power of AI and ML to speed up execution, and maintenance of automated tests. Testim is found to offer accurate and efficient results and offers great support on all popular browsers like Chrome, Microsoft Edge, Firefox, Internet Explorer, Safari, etc. It is available as free and pro versions. The free version offers access to limited features while the paid one gives access to all the available features of the tool.
TestCraft: TestCraft is another popular test automation platform powered by Artificial Intelligence. It is mainly used to perform regression and continuous testing and used for monitoring web applications. The incorporation of AI comes as a process to reduce the previously hefty maintenance charges and reduce the manual effort on the higher redundancy of the tasks performed. TestCraft’s AI-powered system automates the testing process to perform the task effortlessly without human interference. This tool offers low maintenance, requires no coding skills, run on all browsers, and is easy to operate, hence, preferred by many in the industry.
Applitools: Applitools is an AI-powered test automation tool used to perform UI testing, end-to-end testing, software monitoring, and maintenance. It is the most preferred by the professionals as it eases their workload multiple times. It is an intelligent tool that scans through all the screens to analyze and identify any error or discrepancy.
Functionize: Functionize is a Cloud-based test automation tool that leverages the power of AI to carry out both functional and non-functional testing. It is suitable for both web and mobile app testing and found to give accurate results under both scenarios. Backed by advanced NLP (Natural language processing), it effortlessly creates thousands of functional test cases all at ones.
In addition to the above listed AI-enabled test automation tools, Tenjin.AI deserves a special mention. Previously launched as a codeless test automation platform to perform banking/financial software testing, Tenjin will be soon launched with its AI-upgraded version. As per reports, Tenjin.AI will be advanced to its other counterparts and its features can be summarized as follows.
Tenjin.AI: Tenjin is Yethi’s test automation platform exclusively designed to offer testing solutions to banking/financial solutions. Tenjin.AI is designed to perform predictive analysis and understand the future behavior of the workflow. By leveraging the power of AI, testing models are created and results are optimized based on specific requirements.
Tenjin. AI’s core ideology is its smart selection of test cases which involves the identification of the test cases used to test the new release of an application based on previous data available. It is uniquely designed to upload data, train the model, and save any changes on real-time. For a given requirement, this model helps to find relevant testcases along with defect probability.
The trend of AI-integrated test automation is still at a nascent stage yet has managed to change the process drastically. The scope of AI and ML in test automation is vast and beyond one’s imagination. These latest technologies have opened new doors of opportunities for testers and made way for new techniques to improve the product quality like never before.
