6 results about "Release management" patented technology

The application discloses an application updating method and device, and relates to the field of system release management of Fintech (Fintech). The method comprises the following steps: selecting a server as a first server from at least one server associated with a first front-end system; updating an application of a first version deployed in the first server into an application of a second version; testing an optimized function of the application of the second version relative to the application of the first version; establishing a second front-end system according to the first front-end system and the application of the second version; associating the second front-end system with the first server; testing a newly-added function of the application of the second version relative to the application of the first version; and if it is determined that the test is passed, determining that the application updating is successful. The method improves the verification efficiency of application updating and improves the stability of system use.

The embodiments herein provide a method and a system for security risk identification and controlling release management of software application. The method provides security risk identification in a software application as well as integrated tools to direct the efforts of developers to build and maintain secure software. The method provides a unique approach of defining a plurality of Service Level Agreement (SLA) to control a release build for a software application by checking vulnerabilities. Furthermore, the method is flexible enough to adapt in most complicated enterprises and different Software Development Life Cycle (SDLC) processes.

The application discloses a software version release management method and system, a storage medium and equipment, and relates to the technical field of software release management.The method comprises the following steps: detecting release information corresponding to a software program filled by a user through a front end, and a release request corresponding to the software program submitted based on the release information; when the release request is received by a back end, code data in the software program is extracted according to the release request and the release information, environment variables and configuration files corresponding to the code data are generated, and a CI / CD pipeline of the back end is triggered; the code data is subjected to code compilation, code testing and code packaging through the CI / CD pipeline, a program package is obtained, and the program package is pushed to a container image warehouse; and deployment configuration in a Kubernetes cluster is automatically updated according to the container image warehouse, so that synchronous updating of multiple places and multiple clusters is realized.The application aims to solve the problems of abuse of authority, disorder of approval process and untimely information transmission in the prior art.

The application discloses a software abnormal behavior early warning and intelligent tracing method and system for a secret-related environment, relates to the technical field of software development, and solves the technical problems that the abnormal escape rate is high, risk early warning lags behind, decision-making lacks basis, release management and control is extensive, tracing and positioning is inefficient, and it is difficult to adapt to the precise early warning and intelligent tracing demand of software abnormal behavior in the secret-related environment; the features extracted from the abstract syntax tree from the syntax level can get rid of the interference of the surface form of the code, accurately capture the structured nature of the secret-related code; the actual running path of the code is restored from the execution dimension through the control flow graph, and the quantifiable execution logic complexity is combined with the logic to enhance the features. The logic complexity analysis can quickly locate the high-risk features in the secret-related environment, and provide bottom feature support for the abnormal behavior early warning. The correlation analysis is based on the CFG and variable dependence; core quantitative indicators are set for each release link to realize link-level risk decomposition.

The invention relates to the technical field of video release management, and discloses a video release management method and system based on artificial intelligence. The invention discloses a video release management method based on artificial intelligence. The method comprises the following steps: a video uploading step: receiving an original video file uploaded by a user; and an intelligent analysis step: calling a pre-trained AI model to carry out content analysis on the original video file, and generating video content understanding data which comprises a content classification label, a risk confidence score and automatically generated metadata. And a release strategy generation step: based on the video content understanding data and a pre-configured platform rule, automatically generating a personalized release strategy for a target release platform. According to the invention, by introducing an intelligent analysis and dynamic scheduling mechanism driven by artificial intelligence, the defects of low auditing efficiency and extensive resource allocation in the prior art are effectively overcome.

The invention relates to the technical field of AI generation, in particular to a standardized full-chain AI auxiliary management platform, which comprises a demand analysis module used for identifying a standardized demand direction; the project establishment evaluation module is used for generating project establishment priorities; the draft auxiliary module is used for generating a standard draft based on the standardized template and the standardized demand direction; the expert review module is used for reviewing the standard draft based on review experts matched in the standardized demand direction to obtain a release standard; and the release management module is used for generating interpretation information according to the release standard and pushing the release standard and the interpretation information to the target user. According to the method, standardization requirements are recognized through the AI model, project establishment evaluation is quantified, a draft is generated in a templated mode, expert review is intelligently matched, and published content is accurately pushed, so that scientificity, efficiency and consistency of standardization work are effectively improved, and an intelligent management system of a standard full life cycle is constructed.