Abstract: Examples for automatically evaluating a software project requirement are disclosed. In an example, a neural word vector corresponding to a requirement file is generated and the neural word vector based on a score based vector is updated. An output vector comprising a conditional probability distribution of a plurality of answers associated with a plurality of questions identified from the updated neural word vector is generated. Further, a set of input parameters associated with at least one of the software project and the requirement is obtained. Based on the output vector and the set of input parameters, an effort required for completing the requirement may be estimated. A validation score associated with the requirement based on the output vector and a plurality of validation and classification parameters may be determined.

Abstract: Systems and methods for remediating errors in distributed computing are provided. A system may include a remediation node. The remediation node may forecast receipt of a service request by a service authority. The service request may be configured to cause the service authority to modify a service assigned to an account. The service authority may be in communication with a plurality of source systems. The remediation node may acquire, from at least one of the source systems, a service parameter in which the service authority is configured to access to process the service request. The remediation node may determine an error condition corresponding to the service parameter. The remediation node may communicate, in response to determination of error condition, a remediation instruction to the at least one of the source systems, the remediation instruction configured to cause the at least one of the source systems to modify the service parameter.

Abstract: Examples for automatically evaluating a software project requirement are disclosed. In an example, a neural word vector corresponding to a requirement file is generated and the neural word vector based on a score based vector is updated. An output vector comprising a conditional probability distribution of a plurality of answers associated with a plurality of questions identified from the updated neural word vector is generated. Further, a set of input parameters associated with at least one of the software project and the requirement is obtained. Based on the output vector and the set of input parameters, an effort required for completing the requirement may be estimated. A validation score associated with the requirement based on the output vector and a plurality of validation and classification parameters may be determined.

Abstract: Systems and methods for remediating errors in distributed computing are provided. A system may include a remediation node. The remediation node may forecast receipt of a service request by a service authority. The service request may be configured to cause the service authority to modify a service assigned to an account. The service authority may be in communication with a plurality of source systems. The remediation node may acquire, from at least one of the source systems, a service parameter in which the service authority is configured to access to process the service request. The remediation node may determine an error condition corresponding to the service parameter. The remediation node may communicate, in response to determination of error condition, a remediation instruction to the at least one of the source systems, the remediation instruction configured to cause the at least one of the source systems to modify the service parameter.