Abstract: A system and a method for application transformation to cloud by conversion of an application source code to a cloud native code is provided. A first and a second transformation recommendation path is received and a set of remediation templates are applied based on the first and the second transformation recommendation paths where the set of remediation steps comprises pre-defined parameterized actions. The system comprises a microservices unit configured to optimize assessment and implementation of microservices code for multiple target cloud platforms by determining count of microservices anti-patterns in microservices code, wherein the anti-patterns represent a pattern of the microservices code and ascertaining current state of the microservices code by determining a maturity score. A set of repeatable steps associated with microservices code development are provided in bundled form for accelerated implementation of changes in the microservices code for deployment on the multiple target cloud platforms.

Abstract: The present invention provides for migration of application running on source cloud platform to target cloud platform. In operation, the present invention provides for retrieving analysis-data including source code of application to be migrated, hereinafter referred to as application M, a runtime data of application M, and target cloud platform data. The present invention further provides for identifying migration parameters based on analysis-data. Further, migration readiness of application M to target cloud platform is assessed based on migration parameters. Furthermore, a migration readiness report is generated based on the migration parameters, migration readiness assessment and the runtime data. Yet further, deployment configurations for the application M are generated as per the target cloud platform based on the migration readiness report.

Abstract: The present invention provides for transforming .NET framework based legacy applications to latest .NET framework versions. In operation, the present invention provides for retrieving source code of application to be transformed. Further, metadata object is extracted from retrieved source code. The metadata object comprises details, including, application type, .NET framework version of application, and features of application that are incompatible with selected modern-framework, such as .NET Core,.NET 5.0, .NET 6.0 or any other latest .NET framework version to which application is to be transformed. Further, a step list is generated based on the metadata object. The step list is representative of list of steps to be executed to transform the features of the application that are incompatible with the selected modern-framework to modern-framework compatible features. Yet further, the present invention provides for transforming .

Abstract: The present invention provides for migration of application running on source cloud platform to target cloud platform. In operation, the present invention provides for retrieving analysis-data including source code of application to be migrated, hereinafter referred to as application M, a runtime data of application M, and target cloud platform data. The present invention further provides for identifying migration parameters based on analysis-data. Further, migration readiness of application M to target cloud platform is assessed based on migration parameters. Furthermore, a migration readiness report is generated based on the migration parameters, migration readiness assessment and the runtime data. Yet further, deployment configurations for the application M are generated as per the target cloud platform based on the migration readiness report.

Abstract: A system and method for anti-pattern detection for computing application prior to deployment in cloud environment is provided. The present invention provides for applying a pre-defined set of rules on one or more applications source code. The pre-defined set of rules are applied in pre-defined order. Further, applying one or more anti-pattern detection models on one or more applications source code. The anti-pattern detection models are applied for determining correlation between one or more syntax patterns of the application source code and the anti-patterns detection models. Further, detecting anti-patterns associated with the syntax patterns of the application source code based on the pre-defined set of rules and the anti-patterns detection models. The detected anti-patterns represent unique anti-patterns. Lastly, generating a migration actionable event for the application source code based on the detected anti-patterns.

Abstract: A system and a method for application transformation to cloud by conversion of an application source code to a cloud native code is provided. A first and a second transformation recommendation path is received and a set of remediation templates are applied based on the first and the second transformation recommendation paths where the set of remediation steps comprises pre-defined parameterized actions. The system comprises a microservices unit configured to optimize assessment and implementation of microservices code for multiple target cloud platforms by determining a count of microservices anti-patterns in a microservices code, wherein the anti-patterns represent a pattern of the microservices code and ascertaining a current state of the microservices code by determining a maturity score.

Abstract: A system and a method for application transformation to cloud by conversion of an application source code to a cloud native code is provided. First and second transformation recommendation paths are received and remediation templates based on the same are applied. A pre-defined transformation process flow is applied on application source code based on first and second transformation recommendation paths including a pre-processing stage involving analysis of source code and target framework. A plugin unit is provided which provides an adaptable plugin framework for creating multiple plugin types. The adaptable plugin framework allows addition of semi-automated workflow that applies functionality to accelerate application development or application to cloud transformation or addition of semi-automated steps to accelerate greenfield application development and application source code transformation to cloud native code.

Abstract: The present invention provides for a system and a method for application transformation to cloud for conversion of an application source code to a cloud native code. The present invention provides for receiving a first, second, third and fourth transformation recommendation paths. Further, the present invention provides for applying a set of remediation templates based on the first and the second transformation recommendation paths. The present invention provides for applying a pre-defined transformation process flow on the application source code based on the first and the second transformation recommendation paths to transform the application source code to the cloud native code. The present invention provides for applying a reusable service template on the application source code. The present invention provides for creating plurality of configuration artifacts specific to the cloud platform. The preset invention provides for building a CI/CD pipeline for integration and deployment of the cloud native code.

Abstract: A system and a method for automating application development and deployment is provided. An automation engine is configured to generating a computing application source code associated with a domain based on a source code template. Further, fetching a developed computing application. The computing application is developed based on the generated computing application source code. Further, deploying the developed computing application in one or more pre-defined deployment infrastructures based on a deployment template. Lastly, rectifying one or more errors associated with the development and deployment of the computing application based on pre-defined training models associated with multiple error detection and rectification conditions.

Abstract: A system and method for anti-pattern detection for computing application prior to deployment in cloud environment is provided. The present invention provides for applying a pre-defined set of rules on one or more applications source code. The pre-defined set of rules are applied in pre-defined order. Further, applying one or more anti-pattern detection models on one or more applications source code. The anti-pattern detection models are applied for determining correlation between one or more syntax patterns of the application source code and the anti-patterns detection models. Further, detecting anti-patterns associated with the syntax patterns of the application source code based on the pre-defined set of rules and the anti-patterns detection models. The detected anti-patterns represent unique anti-patterns. Lastly, generating a migration actionable event for the application source code based on the detected anti-patterns.

Abstract: The present invention provides for a system and a method for application transformation to cloud for conversion of an application source code to a cloud native code. The present invention provides for receiving a first, second, third and fourth transformation recommendation paths. Further, the present invention provides for applying a set of remediation templates based on the first and the second transformation recommendation paths. The present invention provides for applying a pre-defined transformation process flow on the application source code based on the first and the second transformation recommendation paths to transform the application source code to the cloud native code. The present invention provides for applying a reusable service template on the application source code. The present invention provides for creating plurality of configuration artifacts specific to the cloud platform. The preset invention provides for building a CI/CD pipeline for integration and deployment of the cloud native code.

Abstract: A system and a method for automating application development and deployment is provided. The present invention provides for generating a computing application source code associated with a domain based on a source code template. Further, fetching a developed computing application. The computing application is developed based on the generated computing application source code. Further, deploying the developed computing application in one or more pre-defined deployment infrastructures based on a deployment template. Lastly, rectifying one or more errors associated with the development and deployment of the computing application based on pre-defined training models associated with multiple error detection and rectification conditions.

Abstract: A system and method are disclosed for mobile information management using a code injection approach. The method for information management of applications includes the steps of: receiving, by a computer, one or more compiled applications, and receiving, by a computer, one or more security policies, wherein each security policy indicates one or more use cases and one or more security actions associated with each use case. The method also includes the step of associating the received applications with the one or more received security policies. Additionally, the method includes the step of automatically wrapping the received applications with the associated security policy using a code injection script.

Abstract: A system and method are disclosed for mobile information management using a code injection approach. The method for information management of applications includes the steps of: receiving, by a computer, one or more compiled applications, and receiving, by a computer, one or more security policies, wherein each security policy indicates one or more use cases and one or more security actions associated with each use case. The method also includes the step of associating the received applications with the one or more received security policies. Additionally, the method includes the step of automatically wrapping the received applications with the associated security policy using a code injection script.