Abstract: A framework and a method for ad-hoc batch testing of APIs are provided, where batches of API calls are dynamically generated directly through the framework according inputs identifying the required tests and the sources of the test data, rather than through execution of prewritten test scripts that explicitly write out the test API calls in preset sequences. When performing the validation for an API test, a test payload is generated for the test, an endpoint is called using the test payload to obtain the response used for validation, where generating the test payload includes determining an API reference corresponding to the test, obtaining relevant data from the test data according to a reference key in the test, generating input assignment operations for one or more input parameters in the API reference according to the relevant data, and generating an API call based on the API reference.

Abstract: A system for performing test data management is disclosed. The system includes a data library having one or more databases, the one or more databases undergo a onetime data transfer to a data store, a performing test data management non-transitory storage media residing on the one or more databases, the performing test data management non-transitory storage media includes a means for performing artificial intelligence that resides on the performing test data management non-transitory storage media, a processor system, and a plurality of components and functions residing on the performing test data management non-transitory storage media, the components and functions include a first data transfer function, a data explorer component, a second data transfer function, a data modeler component, a third data transfer function, a data validation component, a fourth data transfer function, a main transfer function, and a data generator component. The system includes a corresponding method as well.

Abstract: A framework and a method for ad-hoc batch testing of APIs are provided, where batches of API calls are dynamically generated directly through the framework according inputs identifying the required tests and the sources of the test data, rather than through execution of prewritten test scripts that explicitly write out the test API calls in preset sequences. When performing the validation for an API test, a test payload is generated for the test, an endpoint is called using the test payload to obtain the response used for validation, where generating the test payload includes determining an API reference corresponding to the test, obtaining relevant data from the test data according to a reference key in the test, generating input assignment operations for one or more input parameters in the API reference according to the relevant data, and generating an API call based on the API reference.

Abstract: A framework and a method are provided for monitoring and managing software bots that collectively automate business processes. The method includes interfacing with the bots executing on a bot infrastructure. The method also includes obtaining the bot-specific performance data and the infrastructure-level performance data recorded by the bots and the bot infrastructure. The method further includes generating or modifying a bot dependency chain based on the bot-specific performance data and the infrastructure-level performance data. The bot dependency chain represents at least one of dependencies amongst the bots and dependencies amongst the related business processes. The method also includes generating an outcome for the business processes according to the bot dependency chain and the bot-specific performance data and the infrastructure-level performance data recorded by the bots and the bot infrastructure.

Abstract: A framework and a method are provided for monitoring and managing software bots that collectively automate business processes. The method includes interfacing with the bots executing on a bot infrastructure. The method also includes obtaining the bot-specific performance data and the infrastructure-level performance data recorded by the bots and the bot infrastructure. The method further includes generating or modifying a bot dependency chain based on the bot-specific performance data and the infrastructure-level performance data. The bot dependency chain represents at least one of dependencies amongst the bots and dependencies amongst the related business processes. The method also includes generating an outcome for the business processes according to the bot dependency chain and the bot-specific performance data and the infrastructure-level performance data recorded by the bots and the bot infrastructure.