Abstract: Systems and techniques that facilitate compliance enforcement via service discovery analytics are provided. In various embodiments, a system can comprise a receiver component that can access one or more declarative deployment manifests associated with a computing application. In various instances, the system can comprise a dependency component that can build a dependency topology based on the one or more declarative deployment manifests. In various cases, the dependency topology can indicate dependencies among one or more computing objects that are declared by the one or more declarative deployment manifests. In various aspects, the system can comprise a compliance component that can determine, based on the dependency topology, whether the computing application satisfies one or more compliance standards.

Abstract: Aspects of the invention include includes detecting a change in a code section of a source code in relation to a reference code section. An incremental section is created in object code, the incremental section includes an object code section describing the change in the code section and a symbol section describing a change to a symbol associated with the changed code section. The incremental section is attached to a software update. The software update to a target computer system.

Abstract: Described herein are methods, computer program products, and computer systems for video-based user interface (UI) application testing. The method includes receiving first test video data corresponding to test video images of an application executing on a first UI, generating the test video images on a first display, generating application video images on a second display. Further, the method may include determining that a first frame of the test video images and a second frame of the application video images fail to satisfy a predetermined similarity threshold, generating a third UI comprising the second frame of the second UI on a third display, receiving user inputs at the third UI for a first duration, capturing replacement test video images from the third display for the first duration, and generating second test video images, wherein the first frame of the test video images is replaced by the replacement test video images.

Abstract: Disclosed herein are system, method, and computer program product embodiments a dual-core automated teller machine (ATM). The dual core ATM system and method includes two physical central processing units (“computing devices” or “cores”) that are configured to perform operations in coordination with peripheral devices. Peripheral devices of the dual-core ATM system can include a peripheral screen, such as a touch screen, a card reader, a PIN pad (e.g., an encrypted pin pad or “EPP”), a cash dispenser, and a cash deposit module. A peripheral switch can isolate one of the computing devices from the one or more peripheral devices and that can permit the other of the computing devices to control the one or more peripheral devices. By maintaining redundant hardware sets within the ATM enclosure, the system can avoid a necessary reboot or powering-off in the event of, for example, a software failure.

Abstract: The present invention generally relates to system, method and graphical user interface for executing one or more tasks in dynamic data driven enterprise application. The invention includes creation of rules on a rule creation interface by one or more syntax from a rule creation syntax data library. The system of the invention is configured to identify optimum rule to process one or more tasks. The invention provides machine learning models driven rule engine for executing the tasks wherein an AI engine invokes dynamic conditions of the rules to execute the task.

Abstract: System and methods of ontology model development are disclosed. An example system and method may comprise, defining, an ontological model, generating, an ontology library based on the ontological model, deploying, the ontology library to an IoT system, generating, an ontology instance based on the ontology library deployed to the IoT system, modifying, an IoT application based on the ontology instance, and managing the IoT system utilizing the IoT application.

Abstract: A first firmware source code portion corresponding to an immutable firmware portion of specific firmware to be deployed with embedded devices is identified. A second different firmware source code portion corresponding to a mutable firmware portion of the specific firmware to be deployed with the embedded devices is identified. The first firmware source code portion is used to generate the immutable firmware portion of the specific firmware. The second firmware source code portion is used to generate the mutable firmware portion of the specific firmware. The immutable firmware portion of the specific firmware is caused to be installed in fixed storage drives of an embedded device in the embedded devices. The mutable firmware portion of the specific firmware is caused to be installed in swappable storage drives of the same embedded device.

Abstract: A method for facilitating automatic assignment of code topics is provided. The method includes accessing a database, the database including data that is associated with a known code topic and data that is associated with an unknown code topic; parsing the database to identify a data file that includes a code snippet, document strings, and/or dependencies. Dividing the identified data file into a training data set and a testing data set; generating a first set of features for each element of the code snippet, document strings, and dependencies, for the training data set; generating a second set of features for the testing data set; identifying, by using a model, a representative feature for the training data set based on frequency distribution of the training data set, the representative feature including a corresponding probability; and determining, by using clustering, a code topic for the data file.

Abstract: Systems and methods are provided for detecting discrepancies in information that is displayed to a user across different webpages of an online shopping system. User interaction with the online shopping system is simulated in one example to collect data relating to webpages of the online shopping system. The data is analyzed to identify relevant semantic blocks of data and compare the data in those blocks across webpages. In an additional example, source code for the webpages is analyzed using machine-learning systems, which are targeted based on the results of the user interaction simulation to identify problematic source code and correct associated issues.

Abstract: A data processing apparatus adapted to output recommendation information for modifying source code, includes: compiler circuitry to compile the source code and to output compiled code for the source code, processing circuitry to execute the compiled code, profile circuitry to monitor the execution of the compiled code by the processing circuitry and to generate profile information for the execution of the compiled code, the profile information including one or more statistical properties for the execution of the compiled code, and recommendation circuitry to output the recommendation information for the source code, the recommendation circuitry including a machine learning model to receive at least a portion of the profile information and trained to output the recommendation information for the source code in dependence upon one or more of the statistical properties, in which the recommendation information is indicative of one or more editing instructions for modifying the source code.

Abstract: According to some implementations, while a proxy routes production traffic to a first application (app) version that runs in a plurality of container orchestration system (cos) pods having first app version containers, configuration information is received including an identification of a second app version container image for a second app version. The second app version is an updated version of the first app version. Cos pods having second app version containers are brought up based on the second app version container image identified in the configuration information. Test and/or warmup traffic is caused to be routed to the second app version containers. Responsive to an indication regarding the routing of the test and/or warmup traffic to the second app version, causing a transition to sending production traffic to the second app version containers instead of to the first app version.

Abstract: An instrumentation analysis system processes data streams by executing instructions specified using a data stream language program. The data stream language allows users to specify a search condition using a find block for identifying the set of data streams processed by the data stream language program. The set of identified data streams may change dynamically. The data stream language allows users to group data streams into sets of data streams based on distinct values of one or more metadata attributes associated with the input data streams. The data stream language allows users to specify a threshold block for determining whether data values of input data streams are outside boundaries specified using low/high thresholds. The elements of the set of data streams input to the threshold block can dynamically change. The low/high threshold values can be specified as data streams and can dynamically change.

Abstract: A method is provided for developing a software product in a no-code development platform (NCDP) to address a problem related to a business domain. The method includes designing the software product in the NCDP. This includes receiving design instructions composed in a semi-structured grammar of a domain-driven design (DDD) natural language for the business domain, and generating a metamodel from the design instructions and according to the DDD natural language. The metamodel incorporates logic and data to implement software features, and the software product has an event sourcing architectural pattern in which the logic in the form of aggregate services are invoked by commands, and the data as events that describe changes in state of the software product are generated. The method includes automatically implementing the aggregate services, commands, and events to build the software product from the metamodel, using an event sourcing framework as a programming model.

Abstract: Disclosed are a general machine learning model generation method and apparatus, and a computer device and a storage medium. The method comprises: acquiring task parameters of a machine learning task (S1201); performing classification processing on the task parameters to obtain task instructions and model parameters (S1202); aggregating the task instructions and the model parameters according to a data type to obtain stack data and heap data (S1203); and integrating the stack data and the heap data to obtain a general machine learning model (S1204). By means of the method, compiled results of a corresponding general model in the running of an algorithm can be directly executed, which avoids repetitive compilation, thus greatly improving the efficiency of machine learning algorithm implementation and shortening the time from compilation to obtaining execution results.

Abstract: A system and method for automated validation testing of software applications during software development and after development stages of the product life lifecycle. The disclosed system uses pre-trained machine learning models and image recognition algorithms to generate test cases and test data from text and images in product specification documents of the software applications.

Abstract: A system and method for receiving, using one or more processors, a first testing identifier associated with a first element of an application under test; receiving, using the one or more processors, a second testing identifier associated with the first element of an application under test; evaluating, using the one or more processors, the first testing identifier; determining, using the one or more processors, a failure of the first testing identifier to identify an element in the application under test; evaluating, using the one or more processors, the second testing identifier; identifying, using the one or more processors, the first element in the application under test based on the second testing identifier; and repairing, using the one or more processors, the first testing identifier to identify the first element in the application under test.

Abstract: A method analyzes applications for modernization. Processor units analyze each application in the applications in isolation from other applications to identify issues in code for the applications and a number of common code components. The processor units create a directed graph structure using the issues identified in the applications and the number of common code components. The directed graph structure includes relationships between the applications, the number of common code components, and the issues identified. The processor units determine a common code component modernization cost for the number of common code components using the directed graph structure. The processor units determine an application modernization cost for a set of the applications using the directed graph structure. The application modernization cost for the set of the applications takes into account the common code component cost for modernizing the number of common code components a single time.

Abstract: Updating inactive compute instances is disclosed. It is determined that a first compute instance that boots from an operating system image on a first storage device is in an inactive state. It is determined that updates to the operating system image on the first storage device exist. The operating system image is copied from the first storage device to a second storage device. The operating system image on the second storage device is updated with the updates to generate an updated operating system image on the second storage device. The updated operating system image is copied form the second storage device to the first storage device in place of the operating system image.

Abstract: Disclosed herein are techniques for visualizing and configuring controller function sequences.

Abstract: A method, system, and computer program product for implementing automated software application generation is provided. The method includes scanning source code for identifying missing elements of hardware and software parameters associated with functional operation of software for development. The hardware and software parameters are analyzed and converted into configurable digital bins. An automation parameter is generated. The automation parameter is associated with portions of the software configured for automatic development and generation. Corrective actions associated with automating development of the software are generated based on the automation parameter and it is determined that the automation parameter is within a specified range of the portions. The corrective actions are executed with respect to development of the software and the software is generated.