Abstract: A system and method for conversion of monolithic services to micro-services is provided. One or more features related to service associated with domain implemented by monolithic service source code are identified. Features are identified for creating first feature set. One or more features are determined related to dependencies and cross-dependencies amongst one or more service functions associated with service, implemented by monolithic service source code, and between service functions and entities associated with domain expressed in the monolithic service source code. One or more features related to dependencies and cross-dependencies are determined for creating second feature set. Relationship between features present in first feature set and second feature set is determined. The relationship is representative of similarity of the features present in first feature set and second feature set.

Abstract: A system and method for conversion of monolithic services to micro-services is provided. One or more features related to service associated with domain implemented by monolithic service source code are identified. Features are identified for creating first feature set. One or more features are determined related to dependencies and cross-dependencies amongst one or more service functions associated with service, implemented by monolithic service source code, and between service functions and entities associated with domain expressed in the monolithic service source code. One or more features related to dependencies and cross-dependencies are determined for creating second feature set. Relationship between features present in first feature set and second feature set is determined. The relationship is representative of similarity of the features present in first feature set and second feature set.

Abstract: A system for improving software code quality using artificial intelligence is provided. The system comprises a training data extraction module to extract learning data files from a source control management system and an integrated development environment for preparing training data. The system further comprises a machine learning model trainer that conducts training of an artificial neural network. The system further comprises a machine learning recommendation module that queries the trained artificial neural network to check for recommendations for improving quality of one or more new software codes and one or more modified software codes. The system also comprises a remediation module that determines one or more coding standard violations in the one or more new software codes and one or more modified software codes. The quality of the one or more new software codes and one or more modified software codes is improved by applying the recommendations.

Abstract: A system for improving software code quality using artificial intelligence is provided. The system comprises a training data extraction module to extract learning data files from a source control management system and an integrated development environment for preparing training data. The system further comprises a machine learning model trainer that conducts training of an artificial neural network. The system further comprises a machine learning recommendation module that queries the trained artificial neural network to check for recommendations for improving quality of one or more new software codes and one or more modified software codes. The system also comprises a remediation module that determines one or more coding standard violations in the one or more new software codes and one or more modified software codes. The quality of the one or more new software codes and one or more modified software codes is improved by applying the recommendations.

Abstract: A system, computer-implemented method and computer program product for efficiently managing enterprise architecture using resource description framework is provided. The system comprises a solution configurator configured to facilitate defining one or more Resource Description Framework (RDF)/Extensible Markup Language (XML) models corresponding to one or more applications. The system further comprises an ontology parser configured to parse the one or more defined RDF/XML models to create corresponding Java objects. Furthermore, the system comprises a solution manager configured to process the one or more parsed RDF/XML models for creating the corresponding one or more applications. Also, the system comprises a user interface generator configured to generate one or more graphical user interfaces corresponding to the one or more created applications, wherein the created one or more applications facilitate efficient management of enterprise architecture.

Abstract: A system, computer-implemented method and computer program product for efficiently managing enterprise architecture using resource description framework is provided. The system comprises a solution configurator configured to facilitate defining one or more Resource Description Framework (RDF)/Extensible Markup Language (XML) models corresponding to one or more applications. The system further comprises an ontology parser configured to parse the one or more defined RDF/XML models to create corresponding Java objects. Furthermore, the system comprises a solution manager configured to process the one or more parsed RDF/XML models for creating the corresponding one or more applications. Also, the system comprises a user interface generator configured to generate one or more graphical user interfaces corresponding to the one or more created applications, wherein the created one or more applications facilitate efficient management of enterprise architecture.