Abstract: Systems, computer-implemented methods, and computer program products to facilitate generation of microservices from a monolithic application based on runtime traces are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a model component that learns cluster assignments of classes in a monolithic application based on runtime traces of executed test cases. The computer executable components can further comprise a cluster component that employs the model component to generate clusters of the classes based on the cluster assignments to identify one or more microservices of the monolithic application.

Abstract: Systems, computer-implemented methods and/or computer program products that facilitate generating code for template specification in a quote to cash (Q2C) solution are provided. In one embodiment, a computer-implemented method comprises: generating, by a system operatively coupled to a processor, a data model by specifying from a universal template which fields and attributes to include in the data model; mapping, by the system, external data into the data model; and generating, by the system, a code for template specification based on the data model, one or more business rules and a first code template.

Abstract: Systems, computer-implemented methods, and computer program products to facilitate generation of microservices from a monolithic application based on runtime traces are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a model component that learns cluster assignments of classes in a monolithic application based on runtime traces of executed test cases. The computer executable components can further comprise a cluster component that employs the model component to generate clusters of the classes based on the cluster assignments to identify one or more microservices of the monolithic application.

Abstract: A computer implemented method for testing rules by a computing device including selecting a current version of a rule and prior version of the rule, comparing the prior version of the rule and the current version of the rule to each other to identify a type of change made in the current version of the rule with respect to the prior version of the rule, and testing the prior version of a rule and the current version of the rule using a common data set, the testing being based on the identified type of change. The test result is provided to a user.

Abstract: Systems, computer-implemented methods, and computer program products to facilitate generation of microservices from a monolithic application based on runtime traces are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a model component that learns cluster assignments of classes in a monolithic application based on runtime traces of executed test cases. The computer executable components can further comprise a cluster component that employs the model component to generate clusters of the classes based on the cluster assignments to identify one or more microservices of the monolithic application.

Abstract: A method includes receiving a plurality of data sets, wherein the plurality of data sets includes a measured low-energy electrons that is less than or equal to 1.5 MeV, and wherein the plurality of data sets further includes data associated with solar wind. The method further includes receiving measured data associated with higher electron events of greater than or equal to 2 MeV In response to a selection of at least two data sets from the plurality of data sets, and further in response to a selection of one or more machine learning (ML) algorithms from a plurality of ML algorithms, and further in response to a selection of a number of window size, a plurality of ML models is generated based on the selections as an input and the measured data associated with higher electron events of greater than or equal to 2 MeV as its output.

Abstract: Techniques for automated generation of inputs for testing microservice-based applications. In one example, a computer-implemented method includes: traversing, by a system operatively coupled to a processor, a user interface of a microservices-based application by performing actions on user interface elements of the user interface; and generating, by the system, an aggregated log of user interface event sequences and application program interface call sets based on the traversing. The computer-implemented method also includes: determining, by the system, respective user interface event sequences that invoke the application program interface call sets; and generating, by the system, respective test inputs based on the respective user interface event sequences that invoke the application program interface call sets.

Abstract: Systems and techniques that facilitate automated generation of relevant and adequate test datasets based on guarded commands are provided. In various embodiments, a query generation component can generate a query language query based on a first guarded command. In various aspects, an execution component can execute the query language query on a data table to return one or more datasets for testing the first guarded command. In various embodiments, the query generation component can comprise an initialization component that can initialize conditions of a WHERE clause of the query language query based on the first guarded command. In various instances, the query generation component can further comprise a transformation component that can transform the conditions of the WHERE clause of the query language query based on a sequence of guarded commands on which the first guarded command depends.

Abstract: Technology for dividing a monolith computer program into a plurality of functions and creating a microservice for each function of the model's computer program. The micro-services are semantically and functionally equivalent, taken collectively, to the model's computer program from which they came. In some embodiments, the monolith computer program is written in an object oriented programming language suitable for execution by a virtual machine (VM). In some embodiments, the microservices are in representational state transfer (REST) form and respectively corresponding application programming interface (API).

Abstract: A system, computer program product, and method are presented for executing a validation test on at least a portion of a refactored application. The refactored application is resident within a partitioned computing architecture including a plurality of partitions and communication between the partitions uses one or more boundary methods. The refactored application is at least partially similar to a transformed monolithic application. The method includes automatically generating one or more test sequences for exercising one or more functional behaviors for each boundary method of the one or more boundary methods.

Abstract: A method, system, and computer program product for decomposing monolithic applications to form microservices are provided. The method identifies a set of classes within a monolithic application. A set of horizontal clusters are generated by performing horizontal clustering to the set of classes to decompose the classes based on a first functionality type. The method generates a set of vertical clusters by performing vertical clustering to the set of classes to decompose the classes based on a second functionality type. A subset of classes occurring in a common horizontal cluster and vertical cluster are identified as a functional unit. The method merges one or more functional units to form a microservice.

Abstract: A system includes a memory that stores computer-executable components and a processor, operably coupled to the memory, that executes the computer-executable components stored in the memory. The computer-executable components include a deployment generator component that analyzes current component versions of application services and determines differences with previous deployment versions of the application services deployed to a target computing environment. A service deployment output component generates instructions to selectively update the application services to the target computing environment based on the determined differences between the previous deployment versions and the current component versions of the application services.

Abstract: A method, system, and computer program product for decomposing monolithic applications to form microservices are provided. The method identifies a set of classes within a monolithic application. A set of horizontal clusters are generated by performing horizontal clustering to the set of classes to decompose the classes based on a first functionality type. The method generates a set of vertical clusters by performing vertical clustering to the set of classes to decompose the classes based on a second functionality type. A subset of classes occurring in a common horizontal cluster and vertical cluster are identified as a functional unit. The method merges one or more functional units to form a microservice.

Abstract: Technology for dividing a monolith computer program into a plurality of functions and creating a microservice for each function of the model's computer program. The micro-services are semantically and functionally equivalent, taken collectively, to the model's computer program from which they came. In some embodiments, the monolith computer program is written in an object oriented programming language suitable for execution by a virtual machine (VM). In some embodiments, the microservices are in representational state transfer (REST) form and respectively corresponding application programming interface (API).

Abstract: Systems, computer-implemented methods, and computer program products to facilitate generation of microservices from a monolithic application based on runtime traces are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a model component that learns cluster assignments of classes in a monolithic application based on runtime traces of executed test cases. The computer executable components can further comprise a cluster component that employs the model component to generate clusters of the classes based on the cluster assignments to identify one or more microservices of the monolithic application.

Abstract: Techniques for automated generation of inputs for testing microservice-based applications are provided. In one example, a computer-implemented method comprises: traversing, by a system operatively coupled to a processor, a user interface of a microservices-based application by performing actions on user interface elements of the user interface; and generating, by the system, an aggregated log of user interface event sequences and application program interface call sets based on the traversing. The computer-implemented method also comprises: determining, by the system, respective user interface event sequences that invoke application program interface call sets; and generating, by the system, respective test inputs based on the user interface event sequences that invoke the application program interface call sets.

Abstract: Systems, computer-implemented methods, and computer program products to facilitate generation of microservices from a monolithic application based on runtime traces are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a model component that learns cluster assignments of classes in a monolithic application based on runtime traces of executed test cases. The computer executable components can further comprise a cluster component that employs the model component to generate clusters of the classes based on the cluster assignments to identify one or more microservices of the monolithic application.

Abstract: Systems, computer-implemented methods, and computer program products to facilitate generation of microservices from a monolithic application based on runtime traces are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a model component that learns cluster assignments of classes in a monolithic application based on runtime traces of executed test cases. The computer executable components can further comprise a cluster component that employs the model component to generate clusters of the classes based on the cluster assignments to identify one or more microservices of the monolithic application.

Abstract: A computer implemented method for testing rules by a computing device including selecting a current version of a rule and prior version of the rule, comparing the prior version of the rule and the current version of the rule to each other to identify a type of change made in the current version of the rule with respect to the prior version of the rule, and testing the prior version of a rule and the current version of the rule using a common data set, the testing being based on the identified type of change. The test result is provided to a user.

Abstract: Techniques for automated generation of inputs for testing microservice-based applications are provided. In one example, a computer-implemented method traverses a user interface of a microservices-based application by performing actions on user interface elements of the user interface, and generates an aggregated log of user interface event sequences and application program interface call sets based on the traversing. The computer-implemented method also determines respective user interface event sequences that invoke application program interface call sets and generates respective test inputs based on the user interface event sequences that invoke the application program interface call sets.