Abstract: A method including: storing, in a memory, a test database, the test database including a plurality of test definitions, each test definition being associated with a respective base application feature and a respective destination application feature; detecting a request to generate a testing plan; generating the testing plan in response to the request, the testing plan being generated by using the test database, the testing plan identifying a sequence of at least some of the test definitions that are part of the test database; and outputting an indication of the testing plan for presentation to a user.

Abstract: A method including: storing, in a memory, a test database, the test database including a plurality of test definitions, each test definition being associated with a respective base application feature and a respective destination application feature; detecting a request to generate a testing plan; generating the testing plan in response to the request, the testing plan being generated by using the test database, the testing plan identifying a sequence of at least some of the test definitions that are part of the test database; and outputting an indication of the testing plan for presentation to a user.

Abstract: Digital imaging processing system and methods for automatically recognizing ocular diseases including dry eye disease, and other ocular conditions in the eyes of humans by automatically (i) processing 2D in vivo digital images of the human eyes formed, captured and detected using a visible-wavelength operating digital camera system, and (ii) using machine-vision image processing subsystems (e.g. engines) to automatically detect the presence and location of specific objects in the ocular surfaces in the human eye, and confirm that specific conditions have been satisfied during image processing to support automated recognition of a specific ocular disease and other ocular conditions indicative of ocular pathology.