A computer-implemented method classifies and creates a container file based on non-functional parameters. The method includes analyzing, by a learning model, a codebase. The codebase includes code for one or more applications. The method also includes identifying, based on the analyzing, a set of functional requirements for each application and a set of non-functional parameters. The method further includes classifying a first application of the one or more applications with a first non-functional parameter. The method includes generating a first container file for the first application. The first container file includes the functional requirements for the first application and the first non-functional parameter. The method further includes creating a first container from the first container file.

A computer-implemented method classifies and creates a container file based on non-functional parameters. The method includes analyzing, by a learning model, a codebase. The codebase includes code for one or more applications. The method also includes identifying, based on the analyzing, a set of functional requirements for each application and a set of non-functional parameters. The method further includes classifying a first application of the one or more applications with a first non-functional parameter. The method includes generating a first container file for the first application. The first container file includes the functional requirements for the first application and the first non-functional parameter. The method further includes creating a first container from the first container file.

An objective performance evaluation engine collects one or more requirements from a customer and developing functional design specifications and creates a set of sub-tasks and assigning the sub-tasks to individual developers. Each developer implements code changes required for the sub-task and delivers the code changes with comments into a code repository. The objective performance evaluation engine generates an implementation benchmark ownership data structure for the code changes and calculates positive impact on performance evaluation based on a comparison of actual effort to implement the code changes versus estimated effort for the sub-task. Responsive to quality assurance detecting a defect in the code changes, the objective performance evaluation engine identifies an owner of the defect by looking up in the implementation benchmark ownership data structure and calculates negative impact on performance evaluation based on a severity of the defect.

An objective performance evaluation engine collects one or more requirements from a customer and developing functional design specifications and creates a set of sub-tasks and assigning the sub-tasks to individual developers. Each developer implements code changes required for the sub-task and delivers the code changes with comments into a code repository. The objective performance evaluation engine generates an implementation benchmark ownership data structure for the code changes and calculates positive impact on performance evaluation based on a comparison of actual effort to implement the code changes versus estimated effort for the sub-task. Responsive to quality assurance detecting a defect in the code changes, the objective performance evaluation engine identifies an owner of the defect by looking up in the implementation benchmark ownership data structure and calculates negative impact on performance evaluation based on a severity of the defect.

Various examples are directed to systems and methods for deploying a cloud environment to a cloud hyperscaler infrastructure. A software tool may receive a description of a cloud environment element to be included in a cloud environment. The software tool may determine that the description of the cloud environment element is consistent with cloud environment security guideline data and add the cloud environment element to cloud environment description data. A security concept document may be generated for the cloud environment. The software tool may generate deployment code comprising executable code describing the cloud environment and submit the deployment code to create the cloud environment at the cloud hyperscaler infrastructure.

Various examples are directed to systems and methods for deploying a cloud environment to a cloud hyperscaler infrastructure. A software tool may receive a description of a cloud environment element to be included in a cloud environment. The software tool may determine that the description of the cloud environment element is consistent with cloud environment security guideline data and add the cloud environment element to cloud environment description data. A security concept document may be generated for the cloud environment. The software tool may generate deployment code comprising executable code describing the cloud environment and submit the deployment code to create the cloud environment at the cloud hyperscaler infrastructure.

A system and method for implementing a dynamic payments catalog is described. A set of processors that satisfy a set of requirements is identified. Required fields for each of the set of processors are further identified. Valid values for each of the required fields identified are determined. A dynamic payments catalog is built based on the identified required fields and valid values. Access to the dynamic payments catalog is then provided to clients.

A system and method for implementing a dynamic payments catalog is described. A set of processors that satisfy a set of requirements is identified. Required fields for each of the set of processors are further identified. Valid values for each of the required fields identified are determined. A dynamic payments catalog is built based on the identified required fields and valid values. Access to the dynamic payments catalog is then provided to clients.

Systems and methods for configuring an RPA (robotic process automation) platform to perform a candidate process automation are provided. Discovery data relating to a candidate process automation is generated. RPA platform design components for configuring an RPA platform to perform the candidate process automation are generated based on the discovery data. The RPA platform is configured based on the RPA platform design components.

A method for providing an evidence service to facilitate evidence analytic and controls assessment for an enterprise toolchain is disclosed. The method includes compiling raw data via an adapter, the raw data including an event that relates to a software development life cycle; retrieving, from the adapter, the compiled raw data; identifying, by using a model, information that relates to the event from the raw data; extracting the identified information; generating, by using the model, a structured data set based on the extracted information; and determining a controls measurement based on the structured data set.