Dr. Tamaro Green, DS Computer Science
Software Test News
One of the goals for automation software testing frameworks is effective metrics. Effective metrics can be assessed through the identification of workflows and workloads in the test creation process. Virtualization may provide for the ability of assessing test metrics in the automated software testing framework. Virtualization may provide a sandbox measuring performance metrics of the framework.
Workflow automation for an automated software testing framework may boost productivity; optimize existing business processes, and present opportunities to apply machine learning in running tests. The automation of core processes provides greater management of the test suite inventory for an automated software testing framework. In the digital domain, the processes have accelerated the growth of the number of tests and test coverage automated. The processes may also provide fast and reliable application testing, increased productivity of test development time, and optimized the time for running the tests. Automated software testing frameworks can be improved for automating preventive maintenance and connecting operational workflows.
Data driven strategies for improving the framework include developing self-service data preparation through a user interface and operationalizing machine learning in the automated software testing framework. Another potential strategy for automated software testing frameworks would be to implement edge computing through the cloud for improving the framework. A core data driven strategy may be developing graphs as the building block for data management in the automated software testing framework.