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IBM ODM is an implementation of a Business Rule Management System. It allows the creation, management, testing and governance of business rules and events and stores them in a central repository where they can be accessed by multiple individuals and software products.
DataOps is a set of practices, processes and technologies that combines an integrated and process-oriented perspective on data with automation and methods from agile software engineering to improve quality, speed, and collaboration and promote a culture of continuous improvement in the area of data analytics. [1]
Test automation management tools are specific tools that provide a collaborative environment that is intended to make test automation efficient, traceable and clear for stakeholders. Test automation is becoming a cross-discipline (i.e. a mix of both testing and development practices.)
Test data can be generated by the tester or by a program or function that assists the tester. It can be recorded for reuse or used only once. Test data may be created manually, using data generation tools (often based on randomness), [4] or retrieved from an existing production environment. The data set may consist of synthetic (fake) data, but ...
Test management tools offer the prospect of streamlining the testing process and allow quick access to data analysis, collaborative tools and easy communication across multiple project teams. Many test management tools incorporate requirements management capabilities to streamline test case design from the requirements. Tracking of defects and ...
The test case can be associated with other test artifacts such as test plans, test scripts, test environments, test case execution records, and test suites. Automatic execution. There are numerous ways of implementing automated tests. Automatic execution requires the test management tool to be compatible with the tests themselves.
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