Intelqe architecture provides an end to end solution of all aspects of an enterprise quality engineering project. We can onboard a project within hours by ingesting the relevant datasets such as requirements, defects data and application URL. Intelqe autonomously and intelligently analyzes the inputs and builds a quality engineering model of the enterprise which is bespoke to the business. This is fundamentally differently from generic and shallow AI tools available in the market. Intelqe builds foundational model of your organization's quality engineering processes and capabilities which can be further utilized and enhanced overtime. This is a new dawn of enterprise AI.
Intelqe abstracts the concept of a test case after analyzing test requirements and structure of application under test. Intelqe conducts deep analysis of the application structure, test data requirements and other knowledge artefacts before generating test suite which can be reviewed, updated and executed depending upon various inputs. This test generation process saves significant amount of time of various IT project resources in understanding and validating requirements, understanding application flow and write test cases. Intelqe automatically provisions toolsets required to execute the test cases depending upon the type of testing.
With its multi-agentic capability and in-built tools framework, Intelqe provisions various toolsets required to execute a test case depending upon the type of testing. Then it executes test suites driving the toolsets and depending upon the configuration and orchestration, will provide regular execution results. With an intuitive UI and robust test execution features, we can see the past and present execution results and compare the output anytime. Intelqe also generate a Test Summary Report for every phase of execution as configured in the platform.
With its dynamic knowledge engineering capabilities, Intelqe can maintain the test cases and update them autonomously aligning with the changed requirements as well as the progress in the software development. This provides significant savings of resources and efficiency at scale. Intelqe's computational intelligence based knowledge engineering module is highly configurable and provides robust test case maintenance capabilities.
