In this digital era, the quality engineering field is experiencing a spellbinding transformation with the emergence of Generative AI. It is also a well-known fact that AI-driven techniques and tools are reshaping the testing processes, improving efficiency, and allowing the swift delivery of high-quality software.
As enterprises seek to fuel their digital transformations, GenerativeAI has become a crucial asset, providing precision and agility in the quality engineering domain. However, it is a must to understand that the key to the integration of Generative AI with quality engineering is that the role of Generative AI is only to augment and improve the capabilities of testers.
It offers certain sophisticated tools for automating manual processes, thereby enhancing the efficiency of the testing phase without compromising the requirement for human oversight.
But, you may wonder, where to get best-in-class Generative AI services that can completely help you streamline your quality engineering process
Here is where Techmango’s GenerativeAI solutions come into the picture. In this blog, we will see how Techmango leverages GenAI to make a big impact on the quality engineering process.
Techmango’s GenAI application in Quality Engineering
User personal and use case modeling
GenAI can be leveraged effectively to automate the manual elements of testing workflows, including review of requirements, analysis of defects, and generation of detailed test reports. GenAI can examine historical information and user needs to create intelligent test cases. We use the GenAI solution to convert data models as JSON files. The user persona list can also be shown as a table.
Test scenario generation
It is a well-known fact that test case development in quality engineering is a time-consuming process that requires frequent updates and coding. By leveraging GenAI, detailed test cases can be automatically generated based on app behavior and user interaction. This will eventually fuel the testing process and lead to enhancement in consistency and coverage. At Techmango, with the best use of the GenAI solution, we generate test scenarios as English statements and map them to use cases, BDD scripts, or TestNG scripts. Test scenarios and test cases will be updated into test management systems.
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What are Techmango’s Gen AI strategies and best practices followed for businesses?
UI and API Test automation scripts
Creating API tests requires development or scripting knowledge, and even when an enterprise invests in a low-code solution, the testers need to understand the construction of API services and, the proper way of communication to test API workflows through the app. But, with GenAI’s potential to translate natural language needs prompts into test cases, API scenarios can be created quite easily.
We make the best use of GenAI in generating UI and API test automation scripts. To make it clear, we implement GenAI in test script generation – (test NG, BDD feature files, etc), API contracts test generation, API endpoint, and API chains generation, page objects creation, data models interface as JSONs generation, connectors to test management systems for test results updation, alerts and notifications to Teams, Slack, Emails and so on, log forwarding to Splunk.
Quality prediction and defect isolation
GenerativeAI helps in analyzing code and data patterns to detect potential issues soon before they become critical defects. It also plays a key role in enhanced fault isolation. It recognizes the root causes of problems for swift resolution and assists in the prevention of recurring issues. With leverage felicitous GenAI solutions for quality dashboards, defect isolation capabilities, quality predictions, coverage holes, and so on.
Conclusion
From the above section, you would have now understood that GenAI in software testing helps automate and boost multiple operations. Techmango with its advanced GenAI techniques and practices, enhances quality engineering processes, right from automated test case generation, and defect prediction to continuous testing and route cause analysis. So, if you are looking to streamline your quality engineering process, approach us to utilize our GenAI integration in quality engineering and set new standards in reliability and product quality.
