Abstract: Provided are systems and methods for automated language testing for use in continuous integration and continuous delivery software development. In one example, the method may include identifying language tests in a plurality of different natural languages to be performed for a software application, executing the language tests and validating the language tests based on results of executed scripts, automatically assigning the language tests among a plurality of language testers based on execution of a machine learning model which pairs together a language test with a language tester based on test attributes and tester attributes, and transmitting notifications to computing devices of the plurality of language testers with information about the automatically assigned language tests.

Abstract: A method of intelligent accessibility testing includes generating a test case including a plurality of tests, for an application, to test, for the application, compliance with a plurality of accessibility requirements. The method includes generating a plurality of objects. The method includes executing, during generation of the plurality of objects, a first test of the plurality of tests to determine compliance with a first accessibility requirement of the plurality of accessibility requirements. The method includes executing, based at least on the plurality of objects, a second test of the plurality of tests to determine compliance with a second accessibility requirement of the plurality of accessibility requirements. The method includes providing, based on execution of the first test and the second test, a status of the first test and/or the second test indicating the compliance with the plurality of accessibility requirements. Related systems and articles of manufacture are provided.

Abstract: Embodiments relate to methods and systems that utilize Robotic Process Automation (RPA) to perform configuration and setup of application(s) that may be present within larger, complex landscapes. In response to a configuration request, content is imported from the application(s)—e.g., read from documentation of a content package. Configuration data is derived from the content, and the configuration data is stored. RPA bot(s) are created to interact with the application(s) and perform a configuration according to a sequence of steps. The configuration is tested according to an end-to-end test path, with the status of the configuration ultimately being reported back to the requestor. Certain embodiments may employ self-healing to correct issues revealed by the testing. Particular embodiments may utilize Natural Language Processing (NLP) and/or predictive Machine Learning (ML) in order to perform one or more of the import, configuration, test, and/or (optional) self-healing functions.

Abstract: A method of intelligent accessibility testing includes generating a test case including a plurality of tests, for an application, to test, for the application, compliance with a plurality of accessibility requirements. The method includes generating a plurality of objects. The method includes executing, during generation of the plurality of objects, a first test of the plurality of tests to determine compliance with a first accessibility requirement of the plurality of accessibility requirements. The method includes executing, based at least on the plurality of objects, a second test of the plurality of tests to determine compliance with a second accessibility requirement of the plurality of accessibility requirements. The method includes providing, based on execution of the first test and the second test, a status of the first test and/or the second test indicating the compliance with the plurality of accessibility requirements. Related systems and articles of manufacture are provided.

Abstract: Provided are systems and methods for automated language testing for use in continuous integration and continuous delivery software development.