Abstract: Systems and methods are provided for loading data based on a data hierarchical framework for an entity. An exemplary method includes, for a data load related to the entity, determining whether a data loader associated with a root node requires action. And, when the data loader associated with the root node requires action, the method includes identifying a first dependency of the data loader associated with the root node of the hierarchical framework on another data loader associated with another node of the hierarchical framework, and executing the another data loader and then executing the data loader associated with the root node, whereby data is loaded to the data structure consistent with the data hierarchical framework.

Abstract: A workflow development system is described that provides a developer with a search utility for finding steps for inclusion in a workflow. The system also automatically generates a meaningful name and/or graphical representation for a workflow. The system also provides a graphical user interface that represents output parameters of a first workflow step as user-interactive objects. These objects can be interacted with to cause the objects to be inserted into a data entry element that is used to specify a value for an input parameter of a second workflow step. When executable logic representing the first and second workflow steps is generated, the insertion of the objects into the data entry element has the effect of causing the value of the input parameter of the second workflow step to be defined to include the values of the output parameters that correspond to the inserted objects.

Abstract: An exemplary process management server disclosed herein comprises a machine-learning model that may be trained to expose processes from a message stream in response to a training table. In one embodiment, one or more performance metrics of the exposed processes may be monitored to identify a process anomaly or other change in process performance, and to dynamically modify one or more process components in response thereto. Such an arrangement improves system performance, efficiency and resource utilization. For example, system performance may be improved by re-ordering process steps to minimize resource overlap. Efficiency and resource utilization may be improved by re-ordering process steps to maximize parallel processing and reduce lag times and bottlenecks.

Abstract: A sample is received for analysis by a virtualized environment. A determination is made that the sample was compiled for a CPU architecture that is different from a host CPU architecture. The sample is executed in an emulated user space corresponding to the CPU architecture for which the sample was compiled.

Abstract: Systems, computer-implemented methods, and computer program products that facilitate identifying computer software vulnerabilities, and more specifically, execute an approximate representation of software to produce a fingerprint are provided. In one example, a system is provided. The 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 include a filter component and an execution component. The filter component can filter a platform-independent intermediate representation to a filtered representation. The execution component can execute the filtered representation on a virtual machine to produce an output vector which can be used to identify computer software vulnerabilities.

Abstract: Methods, computer program products, and systems for Robotic Process Automation (RPA) upgrade of an application are provided. A first mapping indicating relationships between UI elements in a first version of the application and UI elements in a second version of the application and a second mapping indicating relationships between one or more UI elements in a first version of an RPA code corresponding to the first version of the application and UI elements in the first version of the application are respectively obtained. A third mapping indicating relationships between the one or more UI elements in the second version of the application and one or more UI elements in a second version of the RPA code corresponding to the second version of the application is determined and based on which the second version of the RPA code corresponding to the second version of the application is generated.

Abstract: Technologies for assigning a user-generated issue report to an appropriate team for investigation are disclosed. A log file associated with an issue report is parsed to create an object model. The object model is a hierarchy of objects containing data emitted over time by a computer application associated with the issue report. Rules analyze the content of the object model, and when a rule is satisfied, the issue report is assigned to a team associated with the rule for investigation. Rules may access objects in the object model on a per-component level, thereby allowing issues to be assigned to teams at the level of individual components. Rules may also perform a root cause analysis of the issue based on the object model.

Abstract: The present invention provides for a system and a method for translating a legacy source code to a cloud native code. The present invention provides for receiving a source code and deriving a plurality of queries from the source code and the queries comprise a plurality of tokens. The present invention provides for constructing an abstract syntax tree in the form of a data structure from the tokens. The present invention provides for traversing the abstract syntax tree, the identified pattern, the scope table and the syntax table for translation of the tokens of the abstract syntax tree into new tokens stored in the form of a cloud native abstract syntax tree. The present invention provides for concatenating the new tokens stored in the cloud native abstract syntax tree to generate a translated cloud native code to be hosted on a cloud platform.

Abstract: Techniques are provided for a multi-cloud operations center for function-based applications. One method includes obtaining source code for a function of multiple functions of an application, where the function is hosted in a first cloud environment of multiple distinct cloud environments, generating adapted source code from the source code to migrate the function to a second cloud having a different cloud environment; and deploying the function to the second cloud having the different cloud environment using the adapted source code. The source code may be automatically updated for the at least one function for the multiple distinct cloud environments. The function may have a corresponding network address that identifies the function across multiple distinct cloud environments, and network address redirection is performed based on a given cloud environment on which the function is deployed.

Abstract: Systems and methods are provided for coordinating the deployment of frontend assets to defined user groups. Individual groups of users may be assigned to a track comprising a set of frontend assets. Each set of frontend assets may comprise each of the individual components required to generate an entire frontend for an application. In some embodiments, different versions of a single component may be assigned within different tracks. As such, one set of users may be provided a first version of an application and a second set of users may be provided a second version of that application. By associating a new or updated version of a component to a given track, a new or updated version of a component not yet ready for widespread deployment may be provided to only a limited number of users.

Abstract: In various embodiments, an organization may be required to comply with one or more legal or industry requirements related to the storage of personal data (e.g., which may, for example, include personally identifiable information) even when responding to and fulfilling Data Subject Access Requests. In particular, when responding to a DSAR, the system may compile one or more pieces of personal data for provision to a data subject. The system may store this compilation of personal data at least temporarily in order to provide access to the data to the data subject. As such, the system may be configured to implement one or more data retention rules in order to ensure compliance with any legal or industry requirements related to the temporary storage of the collected data while still fulfilling any requirements related to providing the data to data subjects that request it, deleting the data upon request, etc.

Abstract: A method includes identifying a code portion that accesses a primitive value in a user-defined function included in a user program, converting the code portion and an argument in a manner to directly reference an internal data representation of the user program, and generating a code for calling the user-defined function converted by the conversion.

Abstract: Systems and methods for deploying packages to devices in a fleet in stages are provided. A method includes first scanning hardware configured to handle functions unrelated to the customer workloads in a first stage to determine whether a selected diversity target for deploying the package is met. The method further includes, if the selected diversity target for deploying the package is not met, then scanning hardware configured to handle at least a subset of the customer workloads in a second stage to determine whether the selected diversity target for deploying the package is met. The method further includes, if the selected diversity target for deploying the package is met after the scanning, then using the processor, deploying the package to the first subset of the set of devices in the first stage and to a second subset of the set of devices in the second stage.

Abstract: A method may include: receiving a notification of a triggering event, the triggering event identifying an associated product; accessing a baseline configuration for the product; transmitting a notification to a recipient responsible for maintaining the baseline configuration for the product; receiving an approved update to the baseline configuration from the recipient; generating an updated baseline configuration for the product based on the approved update; querying a database to identify an application subscriber for the triggering event for the product; and transmitting the updated baseline configuration to the identified application subscriber.

Abstract: Systems and methods for defining virtual machine fabric profiles of virtual machines. An exemplary embodiment can provide a virtual machine identifier, a virtual host channel adapter instance ID, and a virtual globally unique identifier. The virtual machine identifier, virtual host channel adapter instance ID, and virtual globally unique identifier can be mapped to each other so that the virtual host channel adapter instance ID, and virtual globally unique identifier can be retrieved through access to the virtual machine identifier. Further, a relationship can be created between a P_Key that defines an admin partition and the virtual globally unique identifier, where the relationship between the P_Key and the virtual globally unique identifier defines the virtual globally unique identifier as a member of the admin partition defined by the P_Key.

Abstract: The disclosed embodiments include methods and systems for providing predictive quality analysis. Consistent with disclosed embodiments, a system may receive input data associated with a software program and compare the input data with one or more predetermined analysis parameters. The system may further determine at least one risk rating based on the comparison, wherein each risk rating corresponds to a distinct software category. The system may perform additional operations, including determining at least one adjustment to the software program based on the determined at least one risk rating, and prioritizing the at least one adjustment based on a predetermined adjustment priority standard. Furthermore, the system may provide a report including at least an indication of the at least one prioritized adjustment, a timeline for implementing the at least one prioritized adjustment, and plan implementing the at least one prioritized adjustment.

Abstract: Disclosed embodiments relate to opportunistically updating Electronic Control Unit (ECU) software in a vehicle. Operations may include receiving, at a controller in a vehicle, a wireless transmission indicating a need to update software running on at least one ECU in the vehicle; monitoring an operational status of the vehicle to determine whether the vehicle is in a first mode of operation in which an ECU software update is prohibited; delaying the ECU software update when the operational status is prohibited; continuing to monitor the operational status of the vehicle to determine whether the vehicle is in a second mode of operation in which the ECU software update is permitted; and enabling updating of the at least one ECU with the delayed ECU software update when it is determined that the vehicle is in the second mode of operations.

Abstract: A code completion tool uses a deep learning model to predict the likelihood of a method completing a method invocation. In one aspect, the deep learning model is a LSTM trained on features that represent the syntactic context of a method invocation derived from an abstract tree representation of the code fragment.

Abstract: An apparatus comprising: a processing unit configured to execute a plurality of threads; a profiling unit configured to: profile the operation of the processing unit over a time period to generate an activity profile indicating when each of the plurality of threads is executed by the processing unit over the time period; analyse the generated activity profile to determine whether a signature of the processing unit's thread execution for the time period matches a signature indicating a baseline of thread execution for the processing unit; output an alert signal if the signature of the processing unit's thread execution for the time period does not match the signature indicating a baseline of thread execution for the processing unit.

Abstract: A method is provided for building calling context trees of an application to identify a thread or a device affecting a throughput of a transaction relating to the application. The method obtains profiles of call stacks of multiple threads. The method obtains wake-up profiles which are the call stacks of a notifier thread and a waiter thread, from among the multiple threads, in a case that the waiter thread leaves from a sleep state. The method builds the calling context trees to indicate transitions of methods tracing callee relations and wake-up relations based on the profiles of the call stacks and the wake-up profiles, wherein each method is represented by a node having an average thread number. The method extracts and displays tree portions which are transitively reachable from a calling context tree for the transaction and which include the thread or device affecting throughput.