Patent classifications
G06F8/31
Detecting programming language deficiencies cognitively
A method and a system for agitation detection and response for a programming language are provided. The method includes collecting software code and activity data pertaining to one or more activities performed by a developer that is using a segment of a programming language. The method also includes evaluating the activity data to generate an agitation level of the developer when using the segment of the programming language. The method can also include generating a developer context by evaluating the software code. The developer context can include insights into the operation of features in the programming language by the developer. The activity and developer context can be provided to a software development provider for independent analysis.
Communications methods, apparatus and systems for providing efficient and scalable media services
The present invention relates to communications methods, apparatus and systems for providing media micro-services in a scalable and efficient manner. In an exemplary method embodiment, a packet plane control service entity performs the following operations: (i) receives a request from a Signaling-Session Border Controller to implement one or more micro-services on a media packet stream, the request including information about the media packet stream including stream identification information; generates instructions for one or more entities under the control of the packet plane control service entity to implement the requested one or more micro-services on the media packet stream; and communicates the generated instructions to the one or more entities under the control of the packet plane control service entity for implementation on the media packet stream.
Auto-completion for gesture-input in assistant systems
In one embodiment, a method includes receiving an initial input in a first modality from a first user from a client system associated with the first user, determining one or more intents corresponding to the initial input by an intent-understanding module, generating one or more candidate continuation-inputs based on the one or more intents, where the one or more candidate continuation-inputs are in one or more candidate modalities, respectively, and wherein the candidate modalities are different from the first modality, and sending instructions for presenting one or more suggested inputs corresponding to one or more of the candidate continuation-inputs to the client system.
Analytic model execution engine with instrumentation for granular performance analysis for metrics and diagnostics for troubleshooting
At an interface an analytic model for processing data is received. The analytic model is inspected to determine a language, an action, an input type, and an output type. A virtualized execution environment is generated for an analytic engine that includes executable code to implement the analytic model for processing an input data stream.
COMPLIANCE CONTENT GENERATION
A content generation method includes receiving a control document comprising one or more control clauses, identifying actionable content for the one or more control clauses, generating a programming language template for the one or more control clauses, identifying a closest existing control clause from a database for each of the one or more control clause, identifying a programming language implementation of the closest existing control clause, identifying similarities and differences between the programming language implementation and the generated programming language template, and annotating the programming language implementation for the closest existing control clause based on the identified similarities and differences. The method may additionally include determining whether a closest existing control clause exists, providing the generated programming language template to a user responsive to determining that a closest existing control clause does not exist, and receiving feedback from the user regarding the generated programming language template.
Self executing and self disposing signal
Described herein are systems, apparatus, methods and computer program products for implementing a self executing and self disposing signal for an imperative programming language. The self executing and self disposing signal may be utilized by a ReactiveX specification programming language. The signal may be executed before it is observed by an external observer, reducing load times. Additionally, the signal may allow for multiple observers to observe the output of the signal at the same time and may be self disposing to prevent memory leaks.
Automatically mapping binary executable files to source code by a software modernization system
Techniques are described for enabling a software modernization system to automatically map binary executable files and other runtime artifacts (e.g., application binaries, Java ARchive (JAR) files, .NET Dynamic Link Library (DLL) files, process identifiers, etc.) to source code associated with the binary executable files, e.g., as part of modernization processes aimed at migrating users' applications to a cloud service provider's infrastructure. A software modernization service of a cloud provider network provides discovery agents and other tools that are capable of creating an inventory of users' software applications and collecting profile data about the software applications. Various techniques are described for automatically identifying the source code associated with software applications identified by a discovery agent in a user's computing environment, thereby improving the efficiency of various software modernization analyses and other modernization processes.
Techniques for converting natural speech to programming code
Described herein are a system and techniques for generating programming code from unstructured text (e.g., natural speech). To do this, upon receiving a request for programming code, the system parses unstructured text using natural language processing to identify an entity. The system then identifies a template associated with that entity. The template may also be associated with a particular programming language. Once a template has been selected, a number of parameters associated with the template are identified. The parameters are then matched to data values included in the unstructured text. Once data values have been identified for each of the parameters, the requested programming code is generated using the template and data values.
Automated initialization of bare metal servers
A bare metal server, or other computing device, may be represented as a JSON file (extending the concept to infrastructure as code) containing hardware, firmware and software versions with links to a kickstarter file depending on the needs of an application, SKU type or some other criteria. Rather than a management node in an L2 network which has a DHCP server to IP lease and facilitate OS installation, a workflow then generates a bootstrap kernel which initializes the bare metal server with an IP address, VLAN, and network gateway which is used to reach out to the network to download and install a kernel, upgrade firmware for various hardware components like BIOS, BMC, NIC, RAID, SSD, NVME, FPGA, etc. The bootstrap kernel may further configure RAID and JBOD, flash custom images on hardware components and may further instruct the server to incrementally download and install an operating system.
Apparatus and method for structuring a resource of an application programming interface
A system and method of the disclosure relates to structuring at least one resource of an application programming interface (API) for a server. In the method, a plurality of field-level elements may be defined. Each of the plurality of field-level elements may be associated with a respective property. Also, first and second message-level elements may be defined. The first message-level element may be based on a first field-level element of the plurality of field-level elements, and the second message-level element may be based on the first field-level element. The API may be associated with a first resource having properties resolved based on at least the first and second message-level elements.