Abstract: Systems and methods for implementing an end-to-end automation framework. The method includes receiving a testing data file associated with applications. The method also includes initiating a first automation framework corresponding to a first application. The method further includes storing first data generated from the first automation framework in a data file. The method also includes initiating a second automation framework corresponding to a second application. The method further includes storing second data generated from the second automation framework based on at least the first data in the data file. The method also includes generating a data log based on the data file. The method further includes generating for display the data log on a user device.

Abstract: A system and method for executing a method generating a binary patch file for live patching of an application is disclosed. In one exemplary aspect, the method comprises creating shared object by compiling source code patch file that contains source code of a new function corresponding to an old function, a global external symbol referenced in the source code of the new function, and at least one link to a symbol in an application binary code corresponding to the global external symbol, wherein the shared object contains binary code of the new function for replacing the old function during the live patching, and the result of a compilation of the link, generating metadata usable to facilitate the live patching, creating bindings between calculated relative addresses and the global external symbol referenced by the shared object, and creating the binary patch file by adding metadata to the shared object.

Abstract: A firmware update method and computer program product for updating firmware are provided. The method includes: generating a plurality of container files each corresponding to a hardware device among a plurality of hardware devices coupled to a computing system, wherein each container file includes a firmware update utility to be installed on the computing system to update a firmware installed on the corresponding hardware device; generating an image file of the computing system, wherein the image file has a container layer including the plurality of container files; booting the computing system using the image file, wherein the container files are executed consecutively; installing the firmware update utility of each container file on the computing system when each one of the container files is executed; and for each of the hardware devices, installing a firmware image thereon using the corresponding firmware update utility installed on the computing system.

Abstract: Systems and methods facilitating automated mocking of computer system deployments are described herein. A method as described herein can include associating, by a first system operatively coupled to a processor, respective properties of a first deployment of a second system on a first computing device with respective automation mapping functions; executing, by the first system, the automation mapping functions in an order defined by dependencies between respective ones of the automation mapping functions, resulting in a series of system modeling tasks and an order associated with the series of system modeling tasks; and performing, by the first system, the series of system modeling tasks in the order associated therewith, resulting in a second deployment of the second system being created on a second computing device that is distinct from the first computing device.

Abstract: A system and method detect and forecast a performance degradation of a M-system. The method includes collecting data regarding the M-System during a period of time P1, storing the collected data in a database and analyzing the collected data collected during the period of time P1 by an elaboration routine containing two distinct elaboration phases. Namely, a first elaboration phase, where a performance analysis system selects among the collected data a set of data to be analyzed and removes any noisy data from the set of data and a second elaboration phase, where the performance analysis system correlates, for the set of data, data belonging to different sources, but generated at a same time within the period of time P1 to create M-System state data snapshots characterizing the M-System at different times Ti within the period of time P1. Finally, a model for the M-System is generated from input datasets.

Abstract: An operating method of a terminal, in which a smart secure platform (SSP) is embedded, in a wireless communication system, includes obtaining an activation code, detecting an SSP activation code delimiter in the activation code, detecting an SSP activation code in the activation code by using the SSP activation code delimiter, and downloading at least one of a bundle or an applet by using the SSP activation code, wherein the SSP activation code delimiter is used to separate the SSP activation code from an embedded subscriber identity module (eSIM) activation code.

Abstract: A network device includes a first agent programmed to provide a functionality of the network device. The network device also includes a message bus, distinct from the first agent, that identifies an update associated with the first agent, the update includes differential state information based, at least in part, on a state of the first agent, the state of the first agent is stored in a data structure exclusively managed by the first agent; in response to identifying the update: identifies a second agent that is subscribed to the first agent; and performs an action set to provide the second agent with access to the update.

Abstract: A method of installing an image of a virtualization software in a cluster of hosts includes: in response to a user input, generating a software specification that specifies a base image of the virtualization software and a solution to be enabled; retrieving metadata of the base image, metadata of the solution, and a constraint of the solution; generating a desired image of the virtualization software based on the metadata of the base image and the metadata of the solution in accordance with the constraint; and instructing each host in the duster to install the desired image of the virtualization software.

Abstract: A method of installing an image of a virtualization software installing an image of a virtualization software in a heterogeneous duster of hosts that include first hosts having server hardware of a first type and at least one second host having server hardware of a second type, includes: in response to a user input, generating a software specification that specifies a base image of the virtualization software and an add-on image of the virtualization software; retrieving metadata of the base image and metadata of add-on image; generating first and second desired images of the virtualization software, which are to be applied respectively to the first hosts and the at least one second host, based on the metadata of the base image and metadata of the add-on image; and instructing each of the first and second hosts to install a desired image of the virtualization software therein.

Abstract: A software installation method is provided for a device comprising non-volatile memory 10 and access control circuitry 6 to control access to the non-volatile memory based on region defining data 7 defining whether a given region of the non-volatile memory is a less secure region or a more secure region, with greater access restriction imposed on access to a more secure region than to a less secure region. The method comprises installing target software 40 in a target region of the non-volatile memory 10 defined by the region defining data as a less secure region; verifying the target software; and at least when verification of the target software is successful, and after installation of the target software, updating the region defining data 7 to change the target region from a less secure region to a more secure region.

Abstract: A method for executing Docker images under protection used for an improved Docker server and a Docker image having an extended field is disclosed. The method includes: receiving a Docker container creating instruction by the Docker server and obtaining a Docker image corresponding to the instruction; reading a protection column in the extended field of the Docker image; determining whether the Docker image is a protected image according to content of the protection column; obtaining an actual environmental requirement if the Docker image is the protected image, and replacing content of an environment column in an original field of the Docker image with the actual environmental requirement; and executing the Docker image based on the original field with the content-replaced environment column.

Abstract: A system includes a first computing device, a second computing device, and a third computing device. The first computing device is configured to identify a first event and store a first event code, a plurality of first entry codes, and first information associated with each of the plurality of entry codes. The second computing device is configured to derive a plurality of first translated event codes based on the first event code and a plurality of first translated entry codes for each of the plurality of first entry codes. The second computing device is further configured to determine whether the plurality of first entry codes were successfully derived. The third computing device is configured to read the first journal entry of the second database and determine, based on the indication that the plurality of first translated entry codes were successfully derived, to perform a first task.

Abstract: The disclosure relates to the field of electric engine digital control domain such as used in the control of vehicle electric motors, including methods related to code handling in the context of debug and/or test and/or calibration or tuning target hardware systems. A method for automated generating of codes, for execution on a heterogeneous hardware system, including software and hardware programmable units, said codes include executable calibration instructions, comprises: (i) loading of initial code, including one or more code descriptions, (ii) providing user calibration instructions, specifying variables in the code descriptions to be considered as calibration parameters and/or monitored values, on said initial code; (iii) a step of automatically generating of said codes, at least one per available unit, based on said loaded initial code, provided with calibration instructions.

Abstract: Improved systems and methods for hot reloading software applications are provided. In one embodiment, a method is provide that includes detecting an update for a software application. It may be determined whether the update represents a change to a class structure of the software application. If the update does not represent a class change, framework metadata for a class corresponding to the update may be replaced. If the update represents a class change, a runtime executable unit of the software application may be removed and replaced. After replacing the framework metadata and/or the runtime executable unit, the software application may be executed according to the update.

Abstract: Systems and methods for cross platform configuration are described herein. The platform may receive selections for software programs or operating system configurations and selections of installation settings. A blueprint file is generated to specify the software programs or operating systems that are selected. In addition, the blueprint file may specify different installation settings and configuration settings. The blueprint file is stored in a repository and may be applied to one or more target devices. When applied, a task schedule is generated, where the task schedule prioritizes installations specified in a blueprint file. In addition, the task schedule specifies various provider identifiers to perform the installation(s).

Abstract: While booting a host computing device on a cloud computing system, system firmware (such as Basic Input/Output System (BIOS) or Unified Extensible Firmware Interface (UEFI)) sends a query to a management subsystem (such as a baseboard management controller (BMC)) for updated configuration data used during a boot of the host computing device. The management subsystem sends the updated configuration data to the system firmware, and boot instructions in the system firmware compare the updated configuration data with configuration data stored on the host computing device. If the respective configuration data match, the boot instructions continue with booting the host computing device. If the configuration data do not match, then the boot instructions update the stored configuration data with the updated configuration data and then proceed to boot the host computing device.

Abstract: Some examples provide a non-transitory computer readable medium having instructions stored thereon and executable by a processor of a client computing device to receive, from a server computing device, a unique identifier associated with the client computing device. The instructions are executable by the processor to receive, at the client computing device, user input including a password associated with the unique identifier. The instructions are executable by the processor to send the password to the server computing device for verification. The instructions are executable by the processor to receive, from the server computing device, a data image for installing a desired operating system on the client computing device, and doing so according to a user selection received at the client computing device.

Abstract: Software releases can be generated based on controller metadata in some examples. In one such example, a system can receive metadata files including a set of properties for controllers executable in a distributed computing environment to manage software components collectively forming a software application. Each metadata file can specify respective properties for a respective controller. The system can extract deployment details from the set of properties included in the metadata files, where the deployment details can specify how the controllers are to be deployed in the distributed computing environment. The system can then generate combined metadata that includes the deployment details from the metadata files. The system can incorporate the combined metadata into a software release, so that the software release can be used to deploy the controllers in accordance with the combined metadata.

Abstract: A system provides intelligent unit performance testing of computer applications. In particular, the system may provide an intelligent unit performance testing engine which may allow application developers to perform critical testing of the application during the software development life cycle for performance driven development. The engine may be invoked as either an offline or online process which may analyze applications based on certain performance testing parameters as specified by the developer. In this regard, the system may be configured to read performance testing-specific tags added by the developer to the source code of the application in development. Upon executing the performance testing, the output of the performance testing may be provided to the developer and/or other involved users within the application development process. In this way, the system may provide an effective way for a developer to conduct performance testing at earlier stages of the software development life cycle.

Abstract: A method of debugging quadcopter piloting code includes coupling an Artificial Intelligence (AI) controller configured with AI piloting code to a workstation having a quadcopter simulator and initiating piloting of a simulated quadcopter of the quadcopter simulator by the AI piloting code of the AI controller. Operations of the quadcopter simulator are logged, and communications timestamped. Subsequently, in response to an AI piloting code event at an event time, the event time is determined from a timestamped communication and a logged operation of the quadcopter simulator having a timestamp corresponding to the event time is found. The quadcopter simulator is rewound to at least the logged operation and one or more operations of the quadcopter simulator and the AI piloting code are stepped through to identify AI piloting code errors relating to the AI piloting code event.