6 results about "Coding artifacts" patented technology

This application provides a method, apparatus, device, and medium for generating front-end SDK adaptation artifacts, relating to the field of software development technology. The method includes: obtaining runtime constraints of multiple ports within the port range to be adapted by the front-end SDK; generating source code entry files for each port based on the runtime constraints of each port and the source code of the front-end SDK; generating code artifacts and code directories for each port, and type artifacts and type directories for each port based on the runtime capability constraints and the source code entry files of each port; configuring access based on the runtime capability constraints, code directories, and type directories of each port, and generating package description files for each port; generating the deployment structure of each port based on the code directories, type directories, and package description files; and generating the front-end SDK's deployment artifacts to be released based on the code artifacts, type artifacts, and deployment structure of multiple ports. This application can reduce the complexity of building multi-port SDKs.

An AI integrated test impact analyser system (100) is disclosed for providing prioritized test case recommendations for code changes The system (100) includes a processing unit (205) hosting functional layers including a data ingestion layer (235), a model building layer (240), an inferencing layer (245), and a feedback loop (250). The data ingestion layer (235) collects code-related information from heterogeneous enterprise sources (105) and generates representations of code artifacts, test cases, metadata, execution history. The model building layer (240) analyzes code changes to generate relevance information, including plurality of models leveraging coverage, execution behavior, issue-tracking context, commit patterns, or historical failures. The inferencing layer (245) prioritizes test cases, assigns execution-priority tiers, provides data to external interfaces. The feedback loop (250) incorporates user validation to update models, a repository (215) stores all information securely.

The application discloses a kind of based on agent automation three-dimensional medical image data labeling method and system, comprising: obtaining original three-dimensional medical image containing artifact, and carrying out replacement physical domain conversion;Quantitative parameters associated with the physical cause of artifact are extracted in replacement physical domain;According to quantitative parameter, determine artifact type and intensity grade, the artifact type includes structure coding artifact and degenerative artifact;When it is structure coding artifact, its structured feature is extracted as enhanced signal injection segmentation network and is labeled;When it is degenerative artifact, it is labeled after artifact repair according to type and intensity grade again.This application can adaptively take differentiated processing according to artifact type, avoid the performance loss caused by single strategy, and through physical parameter accurate quantification artifact intensity, depth fusion of artifact analysis and segmentation task, significantly improve the data labeling accuracy and robustness of artifact-containing image.

This invention relates to the field of software engineering technology, and in particular to a method and apparatus for requirement and code tracing based on cross-modal semantic alignment. The method includes: receiving original requirement documents and source code repositories; obtaining a set of requirement items and a set of code artifacts through parsing and filtering; then performing semantic reconstruction to generate requirement function summaries and code function summaries and mapping them to the same semantic vector space to obtain initial requirement semantic vectors and initial code semantic vectors; furthermore, performing joint semantic component analysis to obtain optimized requirement semantic vectors and code semantic vectors by identifying and filtering common semantic components and information; then calculating the association strength; determining the tracing association data through sorting and threshold filtering; and finally performing bidirectional index organization and structured mapping to output the tracing results. Therefore, this invention systematically solves several problems in software engineering, such as semantic heterogeneity, severe interference, and limited accuracy and robustness of association tracing.

This disclosure describes techniques for using a model to generate programming code for creating synthetic data and also to generate related code artifacts. In one example, this disclosure describes a method that includes generating, by an artificial intelligence model executing on a computing system and based on a source dataset, code capable of generating synthetic data patterned after the source dataset; outputting, by the computing system, a user interface presenting information about attributes of synthetic data that the code is capable of generating; accessing, by the computing system, adjustment data; and generating, by the artificial intelligence model and based on the adjustment data, updated code capable of generating synthetic data patterned after the source dataset.

Aspects of this disclosure provide methods and apparatus for video decoding. [Solution] The device's processing circuit decodes coded information from the coded video bitstream about the reconstructed sample of the current component in the current picture. The coded information indicates a sample offset filter to be applied to the reconstructed sample. The filter shape of the sample offset filter is one of a plurality of filter shapes. Each of the plurality of filter shapes contains a first reconstructed sample of a first component in the current picture. The filtered sample value of the reconstructed sample is determined based on the first reconstructed sample in the filter shape. The sample offset filter is an in-loop filter whose output value is applied to the reconstructed sample as an offset to remove coding artifacts while preserving the details of the current component in the current picture.