39 results about "Legacy system" patented technology

The invention provides a legacy system-oriented large-model-driven API document automatic generation system, belongs to the crossing field of artificial intelligence and software development, and provides a multi-modal data fusion and closed-loop verification mechanism aiming at the defects of a traditional API document generation method in the aspects of semantic comprehension, dynamic context capture and multi-technology stack adaptation. A code static feature and a dynamic track during operation are analyzed through a multi-source data acquisition module, and an interface semantic feature is extracted in combination with a field self-adaptive large model of a semantic enhancement analysis module; deducing an implicit service rule by fusing static / dynamic characteristics through a graph neural network, and generating a standardized document conforming to an OpenAPI specification through a parameterized template generative adversarial network (PT-GAN); and finally, performing three-level verification and closed-loop optimization through a sandbox environment. The method supports a heterogeneous system of 16 programming languages such as Java / C + + / Python, interface version changes can be automatically recognized, document patches are generated, the problems of missing and outdated system documents and low maintenance efficiency are solved, and maintainability and integration efficiency of enterprise-level systems are remarkably improved.

The embodiment of the application discloses a kind of identification methods of pointer chasing memory access mode, the execution trajectory of binary instruction generated when target program runs is obtained by binary instrumentation, the execution trajectory of binary instruction is statically analyzed to obtain five-level consistency query result, address dependency relationship category and context stability category are obtained by dynamic analysis, on this basis, value flow causality verification is executed, address dependency relationship category, five-level consistency query result, value flow verification causality result and context stability category are successively combined to carry out multilevel determination, the final determination result of each binary instruction is generated, and whether the binary instruction is pointer chasing memory access mode is confirmed according to the final determination result, without source code, pointer chasing memory access mode can be accurately identified, and multi-level confidence determination is provided, which can be directly applied to commercial software, third-party library and legacy system etc. Source code unavailable scene.

The application discloses a COBOL-to-Java program conversion method and system based on a syntax tree, belongs to the technical field of computer program language conversion, and comprises the following steps: obtaining a COBOL source program file to be converted and configuration rules; performing lexical analysis and syntax analysis to generate an abstract syntax tree; converting COBOL syntax elements into corresponding Java semantic representations according to pre-defined semantic mapping rules; establishing an accurate access chain of a main program and COPYBOOK internal variables through variable path tracking; detecting and solving naming conflicts of COBOL different-level same-name variables based on a scope tree, and renaming variables by adding a parent class name prefix; and generating the converted Java semantic representations into a Java source code file. The application realizes high-fidelity and high-automation COBOL-to-Java conversion, significantly reduces the migration cost of a legacy system, and generates code with strong readability and excellent performance.

Various embodiments of the present technology generally relate to systems and methods for providing an interface to securely handle messages from 5G services for network monitoring purposes. In an example, a packet encoder is provided as an interface handler. The packet encoder may receive from one or more network functions (NFs) in a communication exchange on a 5G network, an input including a plurality of messages. Upon receipt, the packet encoder may determine an input format from the input and determine an output format for a feed generated based on the plurality of messages. The packet encoder may also translate the plurality of messages from the input format to the output format, where the input format is different than the output format, and the feed includes the plurality of messages in the output format. The packet encoder may then transmit the feed to a network monitoring system.

The embodiment of the invention provides a method and equipment for generating a business description document for a legacy system, and relates to the technical field of software engineering.The method comprises the steps that for any source code data in the legacy system, dynamic behavior data during operation of the source code data are obtained; preprocessing the source code data to obtain a plurality of code modules; for any code module, inputting the code module and / or the dynamic behavior data into an artificial intelligence (AI) model to obtain a document description corresponding to the code module; and summarizing the document descriptions corresponding to the source code data under the legacy system to obtain a business description document of the legacy system. In the embodiment of the invention, by acquiring the dynamic behavior data in the source code data, the'live video 'of the source code in the running period can be known, different analysis modes are adopted for different code modules, and the source code data can be analyzed more carefully and accurately.

Various embodiments of the present technology generally relate to systems and methods for providing an interface to securely handle messages from 5G services for network monitoring purposes. In an example, a network traffic monitoring system is provided as an interface handler. The network traffic monitoring system may receive from a plurality of network functions (NFs) in a communication exchange on a 5G network, a first plurality of messages, determine microservices to apply to the first plurality of messages, and process, by respective microservice modules, the first plurality of messages using the microservices. The network traffic monitoring system may also generate a feed based on processing the first plurality of messages using the microservices and transmit, to a network monitoring system, the feed, where the first plurality of messages is in an input format and the feed is in an output format, the input format being different than the output format.

Systems and methods provide for integrating legacy systems into a unified platform. Embodiments include a system configured to ingest, normalize, and store data from multiple sources using a data layer, analyze and transform data using AI algorithms by a processing layer, and provide a dynamic user interface for data visualization and interaction by a presentation layer. Methods are provided for receiving, by a computing device, data such as email orders, vendor catalogs, CRM data, etc., extracting data from the content, processing the data using natural language processing techniques, analyzing the data using machine learning models, mapping the data to a unified platform's schema, managing the integration workflow using a workflow orchestration engine, providing real-time data insights, and resolving data errors or anomalies using an exception management system.

This invention discloses a secure cross-regional command interaction system and method for a visually isolated industrial control system, aiming to solve problems such as complex network gateway configuration, potential risks, incompatibility with outdated protocols, and low visualization in existing technologies. The system includes a command encoding module, a physically isolated display channel, a command capture and execution terminal, and a feedback channel. The method includes generating dynamic command images, transmitting them to the production control area via a split-screen device, capturing and verifying the images, and performing simulated human-machine interaction operations. By adopting the above technical solution, this invention can eliminate the network attack surface, effectively resist replay attacks and content tampering, achieve zero-intrusion integration with existing legacy systems, realize visualized confirmation and complete audit traceability of command execution status, and provide a secure control command exit and status feedback entry for the decision-making platform in the management information area, realizing an intelligent closed loop of "perception-decision-execution-verification".

Systems, computer program products, and methods are described herein for enhanced data management using distributed edge computing. An example TMO system receives data from trustee endpoint devices over a network. The data comprises trust-related information, which the system transforms for compatibility with existing legacy systems. The transformation process includes converting data formats, reconciling records, and synchronizing databases to integrate the transformed data with the legacy systems effectively. The example TMO system synchronizes trust-related data in real-time between the trustee endpoint devices and legacy systems, thereby maintaining consistent data states and providing real-time access to the data for authorized stakeholders via a secure web portal.

The invention provides a legacy system non-intrusive mimicry interaction method and system based on screen pixel recognition, and relates to the technical field of man-machine interaction, and the method comprises the steps: collecting screen pixel flow data, extracting interaction element features, constructing an interface element knowledge graph, and storing hot area coordinates; pixel streams are continuously collected, differential values are calculated, dynamic matching is carried out, and the hot areas are updated; generating an operation instruction according to the hot area coordinate and the time sequence parameter; and adjusting the control parameters in real time based on resource occupation and outputting an optimal operation sequence. According to the method, a legacy system source code does not need to be modified, stable and efficient anthropomorphic interaction can be realized, the automation efficiency is improved, and the system resource consumption is reduced.

A metadata-driven enterprise data architecture system for automated data collection, processing, and reporting, consisting of: a centralized metadata control repository configured to store canonical enterprise data models and business semantic definitions, source-destination mapping rules and transformation logic, data quality thresholds and matching parameters, governance policies and compliance controls, data provenance relationships and audit tracking rules, security and access control configurations, planning instructions and reporting specifications; an execution and orchestration engine that is operationally connected to the metadata control repository and configured to dynamically interpret metadata definitions, automatically implements data ingestion pipelines to extract data from legacy systems, cloud platforms, application interfaces, files, and streaming sources, performs transformation operations such as normalization, enrichment, deduplication, aggregation, and format harmonization to align the ingested data with the canonical enterprise data model, applies metadata-driven data quality validation, exception handling, and reconciliation processes to ensure accuracy and consistency, and enforces metadata-defined security policies, including role-based access control, encryption, and data masking.Automatic capture of complete data provenance and audit records across all processing stages and creation of standardized operational, analytical, and regulatory reports based on metadata-defined reporting structures and business metrics; where changes to metadata definitions automatically modify the collection, processing, governance, security, and reporting behavior without requiring manual redesign of data pipelines or application code.

The invention is suitable for the technical field of computer application, and provides a legacy system access method and device, electronic equipment and a storage medium, and the method comprises the steps: determining whether a user is in a logged-in state in a target legacy system; if the target legacy system is not in the logged-in state, sending a legacy system login request to the target legacy system, and receiving user information returned by the target legacy system under the condition that the target legacy system is successfully logged in; otherwise, reading the user information corresponding to the user from the cache; according to the user information, rewriting the legacy system access request to generate a target access request; and sending the target access request to the target legacy system. Therefore, when the user does not log in the legacy system, the login request is sent to the legacy system, the access request of the original legacy system is rewritten, and the legacy system is accessed through the rewritten access request of the legacy system, so that the non-perceptual cross-system login of the user is realized, the explicit login of the user is not needed, and the user experience is improved.

Privilege overreach is a security threat that occurs when users are granted excessive access to electronic applications without considering potential security risks. This threat can arise for several reasons such as lack of access control policies and tools, user role complexity, legacy systems with inherited user privileges, and gradual accumulation of unnecessary privileges. For example, when users change roles or take on additional responsibilities at a company, they may accumulate access rights to various electronic applications without shedding access rights for electronic applications associated with their previous roles, leading to a gradual increase in privileges that can result in privilege overreach. The present technology limits access privileges to provide secure group-based access to electronic applications by discovering active users, classifying groups, and prioritizing them. Applications from a directory and application sign-in data are read and analyzed, along with group membership data, to determine optimal groups allowed to access an application.

The invention discloses a method and a system for merging customized contents in cross-language code conversion based on labels, and belongs to the technical field of computer software development. The method comprises the following steps: adding a label containing a unique number for a customized modification code segment in a source language code; adding a mark with the same serial number as that in the source language code at a corresponding position of the target language code; before conversion, customized content between marks in the historical version target language code is obtained and cached; code conversion is executed, and the cached customized content is automatically replaced to the corresponding mark position according to the mark number in the newly generated target code; and finally, performing consistency verification on increase and decrease of the marks in the source language code and the target language code. Through a bidirectional marking and cache replacement mechanism, the problem that manual customization is easily covered in the cross-language conversion process is effectively solved, the conversion efficiency and accuracy are improved, the manual intervention cost is reduced, and the method is suitable for a large legacy system migration scene.

Systems and methods are provided for integrating legacy systems into a unified platform. Implementations include a system configured to: ingest, normalize, and store data from multiple sources using a data layer; analyze and transform the data using AI algorithms by a processing layer; and provide a data visualization and interactive, dynamic user interface by a presentation layer. Methods are provided for receiving data (such as email orders, vendor catalogs, CRM data, etc.) from computing devices; extracting data from the content; processing the data using natural language processing techniques; analyzing the data using machine learning models; mapping the data to patterns on a unified platform; managing integration workflows using a workflow orchestration engine; providing real-time data insights; and resolving data errors or anomalies using an exception management system.

Protocol translation embodiments enabling Memory as a Service (MaaS) and symmetric memory access across heterogeneous computing infrastructures comprising CPUs, GPUs, accelerators, fabric attached memory, and interconnects such as CXL, UALink, NVLink, and Ethernet. The embodiments facilitate NTB or Host-to-Host memory borrowing and symmetric memory flows by translating between CXL and non-CXL protocols, enabling seamless memory sharing between CXL-native and legacy systems, such as PCIe. The embodiments receive non-CXL.cache requests from a first entity, translate them to CXL.cache Device-to-Host Requests for transmission to a second entity, and conversely translate CXL.mem requests to non-CXL.mem requests. This protocol translation enables memory pooling across diverse data center architectures where CPUs, GPUs, and accelerators may share memory resources through Host-to-Host memory borrowing. The embodiments support composable infrastructure for AI / ML workloads, cloud-native applications. The embodiments provide transparent memory disaggregation for multi-tenant environments, enabling dynamic memory provisioning with symmetric memory flows between heterogeneous compute nodes.

A framework for generating a systems engineering model for a legacy system includes identifying and extracting code from a specific legacy system or repository and / or codebase; translating the learned code by feeding it to a LLM that specializes in code understanding to elicit natural language descriptions of the functionality of each segment of code and generate a text based output useable by a SysML generator to generate a SysML model of the legacy system from the LLM output.

The application discloses a marking-based cross-language code conversion customized content merging method and system, and belongs to the technical field of computer software development. The method comprises the following steps: adding a marking containing a unique number to a customized modification code segment in source language code; adding a marking with the same number as that in the source language code to a corresponding position in target language code; obtaining customized content between markings in a historical version of the target language code and caching before conversion; performing code conversion, and automatically replacing the cached customized content to a corresponding marking position according to the marking number in newly generated target code; and finally, performing consistency checking on the marking increase and decrease in the source language code and the target language code. Through the bidirectional marking and caching replacement mechanism, the application effectively solves the problem that the artificial customized content is easily covered in the cross-language conversion process, improves the conversion efficiency and accuracy, reduces the artificial intervention cost, and is suitable for large-scale legacy system migration scenarios.

The present invention provides a system (100) and method (200) for embedding custom metadata in Over-The-Top (OTT) streaming manifests to enhance the user experience. The system (100) includes an encoder and packager module (108) configured to generate Adaptive Bitrate (ABR) segments and corresponding media manifests. A manifest updater (112) embeds custom metadata within the manifests, including playback control information such as content advisories, scene-specific annotations, and interactive elements. The custom metadata is embedded as XML elements for DASH and UTF-8 tags for HLS, encoded in base64-encoded JSON format. The media manifests with embedded metadata are transmitted to a Content Delivery Network (CDN) (104), which delivers them to client devices (106). The client devices (106) may process the custom metadata or continue streaming without interruption if the metadata is not recognized, ensuring backward compatibility. The method (200) facilitates seamless integration of metadata, enhancing playback without affecting legacy systems.

Systems and methods for secure access to a legacy data system are disclosed herein. In an embodiment, the method includes verifying user credentials in a database to determine whether a user should be granted access to a legacy system, after verifying the user credentials, causing communication of a security token directly to a legacy access provider, causing the legacy access provider to communicate over a network with a security token service to request that the security token service authenticate the security token, and enabling access to the legacy system upon the legacy access provider verifying authentication of the security token.

Systems and methods provide for integrating legacy systems into a unified platform. Embodiments include a system configured to ingest, normalize, and store data from multiple sources using a data layer, analyze and transform data using AI algorithms by a processing layer, and provide a dynamic user interface for data visualization and interaction by a presentation layer. Methods are provided for receiving, by a computing device, data such as email orders, vendor catalogs, CRM data, etc., extracting data from the content, processing the data using natural language processing techniques, analyzing the data using machine learning models, mapping the data to a unified platform's schema, managing the integration workflow using a workflow orchestration engine, providing real-time data insights, and resolving data errors or anomalies using an exception management system.

This invention provides a platform-agnostic system and method for optimizing software development by leveraging a large language model (LLM) to extract, consolidate, and visualize technical features from diverse software components. The system employs an LLM to analyze input / output specifications, create knowledge graphs, and merge multiple graphs into a unified representation while filtering duplicate functionalities. A map traversal algorithm identifies and merges identical features, incorporating enhancements to ensure a comprehensive and up-to-date knowledge repository. The consolidated graph is processed by generative AI to generate visual, interactive representations, enabling efficient feature reuse and informed decision-making. Continuous updates with robust version control ensure adaptability to evolving requirements. The platform-agnostic plugin enables seamless integration of components developed across various technologies. This invention accelerates the software development lifecycle by reducing redundancy, fostering collaboration, and enhancing innovation, while enabling compatibility with legacy systems and facilitating scalable, efficient, and consistent software engineering processes.

The invention belongs to the technical field of software engineering, and particularly relates to a method for automatically translating project-level C to Rust codes based on a pointer semantic knowledge graph. The method comprises the following steps: constructing a knowledge mode of a project-level code pointer semantic knowledge graph; automatically extracting knowledge based on program analysis; and code translation and error repair based on the pointer semantic knowledge graph. According to the method, the conversion problem caused by lack of global pointer knowledge is solved, and the maintainability of converted codes is improved; through combination of a dependency relationship in a project range and pointer semantic explicit, stronger guidance constraint is provided for a large language model, and project-level code conversion capability and code translation accuracy of the large language model are enhanced. According to the method, the manual intervention requirement of conversion from the project-level C to the Rust code is remarkably reduced, the automation level of cross-language code translation is improved, and solid technical support is provided for legacy system migration, software reconstruction and intelligent development.

The invention belongs to the technical field of interdisciplinary application of an artificial intelligence technology and the field of software engineering automation, and discloses a code optimization method based on multi-agent collaboration. According to the method, a multi-agent architecture is introduced, a code generation task is deconstructed into a plurality of sub-tasks, and the sub-tasks are respectively responsible for demand analysis, architecture design, module implementation, code review and optimization and the like by agents with different professional capabilities. Each agent exchanges information and coordinates decisions through a structured communication protocol to form a dynamic task execution link, so that deep understanding and accurate implementation of development intentions are realized. According to the method, the accuracy and maintainability of code generation are improved, the adaptability of the system to complex engineering scenes is remarkably enhanced, the method can be widely applied to scenes such as rapid prototype development, legacy system reconstruction and automatic test script generation, and software engineering is promoted to be evolved to higher-degree automation and intelligence.

The application provides an agent learning method, device and equipment based on multi-source data, and relates to the field of big data processing. Multi-source operation data generated in the running process of a target system is acquired, multi-dimensional knowledge assets of the target system are extracted, an intelligent analysis engine is used, the multi-source operation data and the multi-dimensional knowledge assets are dynamically fused and analyzed according to a preset multi-channel strategy, a full-dimensional system representation of the target system is generated, and a structured automated capability module that can be called by an agent is generated based on the full-dimensional system representation. The method can be adapted to a no-document legacy system, a black box system and a heterogeneous system architecture, is suitable for various agent platforms, greatly reduces the cost of manual intervention and customized development, and effectively improves the system access adaptation efficiency and generalization ability.

A hybrid cloud bridge system (100) for synchronizing legacy data between on-premises IBM i systems and AWS cloud instances, the system comprising: an on-premises legacy interface module configured to connect to one or more IBM i (AS / 400) systems via native data access protocols, including Distributed Relational Database Architecture and Distributed Data Management, the module further comprising a journal read component for capturing change data in real time from IBM i journal subsystems; a data transformation engine operatively coupled with the on-premises legacy interface module and configured to convert data between the EBCDIC encoding native to IBM i systems and the UTF-8 encoding required by cloud-native applications, the engine comprising an EBCDIC-to-UTF-8 converter, a schema mapping processor, a data validation unit, and a format serializer;a secure communication gateway that establishes encrypted communication channels between the on-premises network and the AWS cloud environment using mutual Transport Layer Security authentication with a pure outbound connection model; a cloud integration module deployed within the AWS cloud environment that includes service adapters for connecting to AWS services; a synchronization controller configured to coordinate bidirectional data synchronization operations via data change detection mechanisms; and a conflict resolution module that implements vector-clock-based versioning to detect and resolve conflicts during concurrent changes;characterized by the fact that the system acts as an intermediary bridge, performing bidirectional real-time synchronization between IBM i legacy systems and AWS cloud instances through integrated data format transformation, secure tunneled communication, and vector clock-based conflict resolution, without requiring any changes to the legacy application code or database schemas.

Methods, systems, and bitstream syntax are described for determining a preferred processing order for metadata messaging, such as supplemental enhancement information (SEI) messaging in MPEG video coding. Examples are provided for addressing issues related to backward compatibility of legacy systems. For example, the proposed messaging allows an encoder to isolate messages that are crucial to the implementation of the decoder and assign importance to each SEI message, thereby maintaining backward compatibility.

A system for training language models to describe, analyze, support, and / or generate code for legacy systems or technology. A data scraper is directed to repositories, logging systems, and databases of legacy systems. Listeners are added to the user interfaces of the legacy systems to capture events, the functions called by the event, and other events occurring at approximately the same time. Chunks for training language models are generated from the content obtained by the data scraper and / or the listeners. The data extracted for the content and added to the chunks is based on the content type from which the chunks are generated. Chunks are filtered by legacy system, programming language, and / or hardware to generate a training set for training a corresponding data model. The embedding layer of the language model is used to generate vector embeddings for retrieval augmented generation.

The invention relates to an information query method and device of a legacy system and computer equipment. The method comprises the steps of obtaining system data information of a legacy system and query information of a user for the legacy system, and extracting system data association information of the legacy system through a data extraction strategy based on the system data information; based on the system data association information, constructing a knowledge graph of the legacy system, and constructing a knowledge vector database corresponding to the knowledge graph through a graph neural network; based on query information of the user and the knowledge graph, feedback information corresponding to the query information is generated in the knowledge vector database through a vector progressive query strategy. By adopting the method, the information query comprehensiveness of the legacy system can be improved.

Embodiments build an inventory of existing backups in a legacy system, initiate a restore for the existing backups in the legacy system, intercept a plurality of operations of the legacy system, send data which comprises a specific marker pattern in response to intercepting the plurality of operations, and build a storage map using the data which comprises the specific marker pattern.