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: In some embodiments, an API specification document is processed to extract metadata representing API elements. Dependencies are mapped between the API elements using orders and ranks to create a metamodel that includes a map of metadata attributes and links that represent functional and operational aspects of program elements accessible via the API. The metamodel is stored for use in generating support infrastructure artifacts. In some embodiments, database entities are compared to a metamodel to generate matches. Each match indicates a confidence score and a relationship between a database entity and a metadata attribute. A selection of a metadata attribute is received for inclusion in the new API, and a selection of a database entity to be associated with the metadata attribute for the new API is received. The computing system updates the confidence score for the match that indicates the relationship between the database entity and the metadata attribute.

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: In some embodiments, an API specification document is processed to extract metadata representing API elements. Dependencies are mapped between the API elements using orders and ranks to create a metamodel that includes a map of metadata attributes and links that represent functional and operational aspects of program elements accessible via the API. The metamodel is stored for use in generating support infrastructure artifacts. In some embodiments, database entities are compared to a metamodel to generate matches. Each match indicates a confidence score and a relationship between a database entity and a metadata attribute. A selection of a metadata attribute is received for inclusion in the new API, and a selection of a database entity to be associated with the metadata attribute for the new API is received. The computing system updates the confidence score for the match that indicates the relationship between the database entity and the metadata attribute.

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 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 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.

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.