49 results about "Enterprise software" patented technology

The invention relates to an artificial intelligence assistant injection method and device, equipment and a computer readable medium. The method comprises the steps that page detection is conducted through a browser plug-in included in a system, key feature information of a page is recognized, and the browser plug-in is constructed based on a standardized API set; acquiring context information of the user in the current service according to the key feature information; injecting an artificial intelligence assistant into the current webpage according to the monitoring state of the browser plug-in, and isolating a user interface component of the artificial intelligence assistant from a main information position of the current webpage based on an isolation container; and obtaining a user access request, and querying the context information of the current service and the historical access data of the user through the artificial intelligence assistant to respond to the user access request. According to the method and the device, the technical problems of high integration difficulty and high cost of enterprise-level software in integration of large model capability are solved.

Disclosed in some examples is an enterprise software management system (ESMS) that manages procurement, deployment, security, and maintenance of software in large enterprises. The ESMS may include one or more of a software tracking component, a software component storage component, a licensing repository component, a software vulnerabilities detection component, and a software risk management component. The ESMS governs and manages software applications and components to reduce legal, security, and other risks to the enterprise environment. The ESMS solves the technical problem of tracking and managing software and components using the technical solution of a tracking framework that utilizes interconnected systems that document, track, and ensure compliance with enterprise software goals.

The invention discloses a micro-service-based enterprise software system construction method and device, and relates to the technical field of enterprise software system construction, and the method comprises the steps: carrying out the micro-service division of an initial software system according to enterprise demand information and micro-service boundary information, obtaining an independent micro-service system, and carrying out the evaluation of the independent micro-service system, determining communication architecture information between the independent micro-service systems according to the micro-service configuration information, evaluating the independent micro-service systems to obtain a micro-service configuration influence index, acquiring the micro-service configuration information, evaluating the independent micro-service systems to obtain the micro-service configuration influence index, and determining the communication architecture information between the independent micro-service systems according to the micro-service configuration information. The micro-service architecture is evaluated and optimized through the micro-service configuration influence index and the micro-service independence index, and through quantitative evaluation and the influence index, the micro-service architecture can be judged and adjusted in time, the system design is optimized, and potential performance bottleneck and system excessive dependence are avoided.

In accordance with an embodiment, described herein is a system and method for providing support for extensibility and customization in an analytic applications environment. An extract, transform, load (ETL) or other data pipeline or process provided by the analytic applications environment, can operate in accordance with an analytic applications schema and / or a customer schema associated with a customer (tenant), to receive data from the customer's enterprise software application or data environment, for loading into a data warehouse instance. A semantic layer enables the use of custom semantic extensions to extend a semantic model, and provide custom content at a presentation layer. Extension wizards or development environments can guide users in using the custom semantic extensions to extend or customize the semantic model, through a definition of branches and steps, followed by promotion of the extended or customized semantic model to a production environment.

A computer-implemented method and system standardize code patterns within enterprise software environments. A code modernization system utilizes a Large Language Model (LLM) and a specialized prompt library. The library includes pattern recognition prompts to guide the LLM in identifying specific code patterns within selected software code, potentially using enterprise-specific context. It also includes standardized solution prompts to guide the LLM in generating replacement code conforming to predefined enterprise standards for the identified patterns. The system orchestrates communication, transmitting code and relevant prompts to the LLM and receiving identified patterns and subsequently the generated standardized replacement code. This automated approach facilitates improved code quality, consistency, maintainability, and can support code translation efforts within the enterprise.

A mock server is configured to mimic the operation of one or more microservices used in enterprise software. When a new microservice is completed for use in the enterprise software, the new microservice and the mock server can be deployed in a pre-production environment for testing. One or more test cases are created and then executed in the pre-production environment, causing the new microservice to access various other microservices represented by the mock server with one or more predetermined requests. In this manner, the new microservice may be tested in a simulated production environment before other microservices in the enterprise software design have been fully implemented.

A system and method for securing an enterprise's software supply chain includes an enterprise, a build artifact, and a metadata extractor. The metadata extractor is configured to extract metadata from the build artifact and send the metadata to an enhanced software bill of materials generator. The enhanced software bill of materials generator may generate a software bill of materials based on the metadata. A know your system large language model (“KYS LLM”) is also provided. The KYS LLM is configured to be trained by the metadata and to receive a query from an actor. An enterprise blockchain is provided and may receive the metadata and a query. The enterprise blockchain may include an application programming interface configured to initiate a download of dependencies from the enterprise blockchain. A pipeline may be provided to receive the download of the dependencies from enterprise blockchain and deploy information from the download.

A method may include an integration microservice receiving a fetch request to fetch tracking data associated with a first enterprise software application. The tracking data may be associated with a tracking model tracking a fulfilment cycle of each order item in an order. The integration microservice may determine whether a first capacity of a tenant associated with the fetch request is able to accommodate a job fulfilling the fetch request. If the first capacity of the tenant is able to accommodate the job fulfilling the fetch request, the integration microservice may distribute the job to an instance of a data load microservice selected based on a second capacity of that instance of the data load microservice. The job may be performed by the instance of the data load microservice by sending the tracking data to a second enterprise software application to perform various analytical tasks based on the tracking data.

In accordance with an embodiment, described herein is a system and method for providing support for extensibility and customization in an analytic applications environment. An extract, transform, load (ETL) or other data pipeline or process provided by the analytic applications environment, can operate in accordance with an analytic applications schema and / or a customer schema associated with a customer (tenant), to receive data from the customer's enterprise software application or data environment, for loading into a data warehouse instance. A semantic layer enables the use of custom semantic extensions to extend a semantic model, and provide custom content at a presentation layer. Extension wizards or development environments can guide users in using the custom semantic extensions to extend or customize the semantic model, through a definition of branches and steps, followed by promotion of the extended or customized semantic model to a production environment.

The invention discloses an enterprise software system evaluation method and device based on a full link, and relates to the technical field of software evaluation. The method comprises the following steps: firstly, preliminarily drawing up key links of a full life cycle by obtaining enterprise software system construction demand information; secondly, defining a core evaluation target of each link and defining a range; determining links generating chain reactions based on the target and the range, and constructing a link cooperation matrix; determining a synergistic effect coefficient matrix, judging the gain influence of link collaboration on the whole link, and determining a sub-link quality index; and finally, performing full-link evaluation in combination with the link cooperation matrix and the sub-link quality index. The device comprises a demand information acquisition and key link drawing up module, an evaluation target and range defining module, a chain reaction link identification and matrix construction module and a full link evaluation execution module, comprehensive and accurate evaluation of full links of a software system is achieved, and a basis is provided for system optimization.

The invention relates to the technical field of business data processing, and provides a business management method and system for enterprise management software. The method comprises the following steps: obtaining a service feature-service processing logic relationship according to service feature data and service processing information; constructing an enterprise software business processing strategy database based on the business feature-business processing logic relationship; performing feature point marking on the to-be-processed service information to obtain a service feature value set; performing similarity analysis on the business characteristic value set and an enterprise software business processing strategy database by adopting a similarity algorithm, and outputting a target software business processing strategy; and performing service processing on the to-be-processed service information based on the target software service processing strategy to obtain service processing feedback data, and performing service optimization management based on the service processing feedback data. By adopting the method, the technical effects of improving the business processing intelligence and pertinence of the enterprise management software, improving the business processing accuracy and further improving the business management efficiency can be achieved.

In some embodiments, an artificial intelligence vision system may be integrated with multiple enterprise software applications and the artificial intelligence vision system and method may transform the human-machine interface (HMI). The artificial intelligence vision system and method may use augmented reality, virtual reality, and / or mixed reality devices to create a new level of data interaction and collaboration for enterprise processes. Synchronization may be enabled between virtual environments presented via multiple computing devices and / or between virtual environments presented via different applications executing on the same user device. The artificial intelligence vision system and method may provide a seamless immersive and interactive experience for users by providing accurate multi-dimensional virtual environments mapped to physical environments. Enterprise insights may be generated and provided to users to enable the users to perform real-time or near real-time action regarding assets of an enterprise.

The invention relates to the technical field of compatibility adaptation services, and particularly discloses an enterprise software and hardware compatibility adaptation service evaluation method based on big data, and the method comprises the steps: carrying out the compatibility test of software and hardware, and evaluating the optimization effect of the compatibility adaptation service; the cost of the compatibility adaptation service is obtained, the historical cost and the market cost of the compatibility adaptation service in the same period are collected, and the abnormal degree of the cost of the compatibility adaptation service is analyzed; performing stage division on the compatibility adaptation service, and evaluating the progress management condition of the compatibility adaptation service according to the expected completion time and the actual completion time of each stage; and comprehensively evaluating the compatibility adaptation service to obtain an evaluation result and feeding back the evaluation result. According to the method, a user can be helped to find and solve potential safety hazards and compatibility problems, the overall safety and stability of the system are improved, the working efficiency of software and hardware equipment is improved, and the maintenance cost of the equipment is reduced.

The invention provides an intelligent low-code development control method based on multi-modal interaction driving, and belongs to the technical field of development control, and the method comprises the steps: 1, constructing a front-end subsystem for low-code development control; and step 2, constructing a back-end subsystem for low-code development control. Aiming at the problems that a traditional low-code system component is low in dragging efficiency and difficult to adapt to a complex business scene, automatic generation of a prototype graph / voice / character-front-end interface and detailed design document-back-end code is realized through deep fusion of a visual large model, a code large model and a multi-modal interaction technology, and the method is high in practicability and high in practicability. The purposes of reducing the development time by more than 50%, reducing the code error rate and unifying the code style are achieved, and an efficient and high-quality solution is provided for enterprise software development.

Enterprise software relies on numerous types and instances of mathematical and logical calculations for proper functioning, which are formally specified in spreadsheets, known as Calculation Specification (CS) sheets, that provide illustrations of the inputs and outputs of the calculation, and are expressed in inputs and formulae applied on them to get values for outputs. The values for such inputs are retrieved by executing ad hoc queries on respective application's database. Present disclosure provides systems / methods to synthesize code using CS sheets by formulating a Programming By Example (PBE) problem for each input involved in the calculation. A query synthesis technique is then implemented that uses natural language processing and enumerative program synthesis techniques to infer queries corresponding to the PBE problem. These queries are filtered based on whether their output is consistent with expected output in PBE. Finally, the synthesized queries and calculation formulae are translated into a desired target programming language.

The embodiment of the invention discloses a customized OA system which comprises a third-party login module, a task module, a product module, a declaration module, an asset management module, an approval module, a personnel module, a performance module, an examination module, an administrative module, a test module, an operation and maintenance module, a conference module and an intelligent reminding module. The OA system is customized according to the actual demand of an enterprise, the automation function of the OA system is complete, provided templates and configurable items are rich, and the use demand of the whole project period of enterprise software development can be met. In addition, the OA system is additionally provided with a third-party login module and an intelligent reminding module, so that the working process can be simplified, and the working efficiency of enterprise employees can be improved.

A computer-implemented method and system standardize code patterns within enterprise software environments. A code modernization system utilizes a Large Language Model (LLM) and a specialized prompt library. The library includes pattern recognition prompts to guide the LLM in identifying specific code patterns within selected software code, potentially using enterprise-specific context. It also includes standardized solution prompts to guide the LLM in generating replacement code conforming to predefined enterprise standards for the identified patterns. The system orchestrates communication, transmitting code and relevant prompts to the LLM and receiving identified patterns and subsequently the generated standardized replacement code. This automated approach facilitates improved code quality, consistency, maintainability, and can support code translation efforts within the enterprise.

In accordance with an embodiment, an analytic applications environment enables data analytics within the context of an organization's enterprise software application or data environment, or a software-as-a-service or other type of cloud environment; and supports the development of computer-executable software analytic applications. A data pipeline or process, such as, for example, an extract, transform, load process, can operate in accordance with an analytic applications schema adapted to address particular analytics use cases or best practices, to receive data from a customer's (tenant's) enterprise software application or data environment, for loading into a data warehouse instance. Each customer (tenant) can additionally be associated with a customer tenancy and a customer schema. The data pipeline or process populates their data warehouse instance and database tables with data as received from their enterprise software application or data environment, as defined by a combination of the analytic applications schema, and their customer schema.

The invention relates to the technical field of software upgrading and maintenance, and provides a method for generating an in-out parameter entity in enterprise software upgrading and related equipment thereof, and the method comprises the following steps: receiving an upgrading and maintenance request triggered by all front ends for operating software to be upgraded, copying upgrading and maintenance request data to a development environment for analysis; the method comprises the following steps: analyzing an entity in software to be upgraded to generate a corresponding input parameter entity, analyzing the entity and a corresponding method of the entity in the software to be upgraded, obtaining a Mapper proxy object set for the entity and a Mapper proxy object method set for the corresponding method of the entity, and executing methods in the Mapper proxy object method set through a reflection mechanism to obtain feedback information of a database. And generating a parameter-out entity corresponding to the Mapper proxy object set and the Mapper proxy object method set according to the feedback information, thereby reducing the upgrading and maintenance cost of the enterprise-level software project and improving the upgrading and maintenance efficiency of the enterprise-level software project.

The invention discloses an application construction method and device based on an integrated development platform and electronic equipment, and relates to the field of financial science and technology or other related fields, and the method comprises the steps: initializing a target application project based on an application demand in the integrated development platform, and constructing a data model corresponding to the target application project; under the root directory of the target application project, configuring a project dependency relationship based on an application demand, and adjusting the data model based on the project dependency relationship; generating a project code framework based on the data model by utilizing a code generation tool of the integrated development platform; and starting a deployment process of the integrated development platform, and performing project deployment based on the project code framework to obtain a target application instance. Through the application, the technical problem of low development efficiency caused by low code reuse rate and tedious development process in an enterprise software application development process in related technologies is solved.

Method and systems can provide a scalable conversational experience for citizen developers for build automation generation. A knowledge graph is identified that represents entities, entity attributes, and entity relationships of entities used in application programming interfaces of an enterprise software system. A natural language model is generated based on information in the knowledge graph and a chatbot is configured with the natural language model to generate automations for automating enterprise processes in the enterprise software system. Chatbot logic is generated based on information in the knowledge graph. The chatbot participates in a conversation with a user of the enterprise software system and the chatbot determines, from the conversation, using the natural language model, parameters of a requested automation for automating a process of the enterprise software system. The chatbot provides the determined parameters to an automation tool for creation of the automation.

The invention discloses a network security protection updating method based on an enterprise software project type, which relates to the technical field of network attack and defense, and comprises the following steps: acquiring public security situation awareness data, analyzing public network security attack trend preference vectors, and performing association matching with historical security logs of the enterprise software project type; predicting an external security attack trend index of the enterprise software project type; performing a network security test on the user of the enterprise software project type to obtain internal and external security attack trend indexes of the enterprise software project type; and based on the internal and external security attack trend indexes of the enterprise software project type and the disposable security protection performance of the enterprise software project type, constructing a security attack disposable security protection performance distribution model, and generating a network security protection scheme of the enterprise software project type. The method has the advantages that the high-risk attack path is accurately identified, the security resource release is optimized, and the defense efficiency is improved while the risk is reduced.

The invention provides an agile coach training method and device based on intervention analysis and a storage medium, and relates to the technical field of computers. Comprising the following steps: S1, receiving agile development data; s2, quantitative basic item calculation and abnormal point extraction are carried out, content related to a quality process improvement target in the numerical data is obtained, processing analysis is carried out, and change abnormal values between adjacent iterations are extracted by taking the iterations as dimensions; s3, performing intervention content semantic analysis, performing incremental content semantic recognition, and extracting initial and end iterations, participant roles and process improvement intervention behavior measures; and S4, training the intelligent coach model, perfecting the intelligent coach model, performing measurement item change trend estimation when target and initial quantitative characteristics are input into the model, and providing process improvement intervention behavior recommendation. According to the method, experience sharing in an enterprise is switched through in an automatic mode, and a new automatic enabling method is provided for improvement and agile transformation of an enterprise software process.

In some embodiments, an artificial intelligence vision system may be integrated with multiple enterprise software applications and the artificial intelligence vision system and method may transform the human-machine interface (HMI). The artificial intelligence vision system and method may use augmented reality, virtual reality, and / or mixed reality devices to create a new level of data interaction and collaboration for enterprise processes. Synchronization may be enabled between virtual environments presented via multiple computing devices and / or between virtual environments presented via different applications executing on the same user device. The artificial intelligence vision system and method may provide a seamless immersive and interactive experience for users by providing accurate multi-dimensional virtual environments mapped to physical environments. Enterprise insights may be generated and provided to users to enable the users to perform real-time or near real-time action regarding assets of an enterprise.

A system and method for providing a service management engine for use with a cloud computing environment. In accordance with an embodiment, enterprise software applications (e.g., Fusion Middleware applications) can be instantiated as services within a cloud platform, where they are then made accessible by other (e.g., customer) applications. In an embodiment, a service management engine (SME), in communication with an orchestration engine, can be used to provision services as one or more different service types, according to a service definition package (SDP). Service types can be instantiated according to the configuration of the cloud platform itself, and the contents of the SDP, including discovering, provisioning, and associating service types with system resources, to address different customer requirements.

This invention discloses a method and apparatus for evaluating enterprise software systems based on the entire lifecycle, relating to the field of software evaluation technology. The method includes: first, acquiring enterprise software system construction requirements information to initially define key stages throughout the entire lifecycle; second, defining the core evaluation objectives and scope of each stage; identifying stages that generate chain reactions based on the objectives and scope, and constructing a stage synergy matrix; determining a synergy effect coefficient matrix accordingly, judging the gain impact of stage synergy on the entire lifecycle, and determining the sub-stage quality index; finally, combining the stage synergy matrix and the sub-stage quality index to perform a full-chain evaluation. The apparatus includes modules for acquiring requirements information and defining key stages, defining evaluation objectives and scope, identifying chain reaction stages and constructing a matrix, and executing the full-chain evaluation, achieving a comprehensive and accurate evaluation of the entire software system lifecycle and providing a basis for system optimization.

A system and method for remote testing of enterprise software applications (ESA) allows one or more testers to remotely access an ESA and remotely test the ESA. In at least one embodiment, the ESA resides in a testing platform that includes one more computers that are provisioned for testing. “Provisioning” a computer system (such as one or more servers) refers to preparing, configuring, and equipping the computer system to provide services to one or more users. In at least one embodiment, the computer system is provisioned to create an ESA operational environment in accordance with a virtual desktop infrastructure (VDI) template interacting with virtualization software.

A system (100) for artificial intelligence (AI)-driven enterprise software modernization, the system (100) comprising: a. a user device (102) with a user interface (104) configured to receive legacy software artifacts including source code, configuration files, database schemas, interface definitions and runtime logs; b. a communication network (106) configured to enable data communication between the system's components and with external repositories and deployment environments; c. a processing unit (108) that is operationally connected to the user interface (104) of the user device (102) via the communication network (106), wherein the processing unit (108) is configured to execute an AI-driven software modernization workflow, the processing unit (108) comprising: i. a data input module (110) configured to receive legacy software artifacts via the user interface (104) and generate normalized artifact data; ii. a preprocessing module (112) configured to perform at least one of the syntactic analysis, dependency extraction, deobfuscation and metadata enrichment on the normalized artifact data; iii. a semantic intermediate representation generation module (114) configured to create a unified semantic representation that fuses static code semantics with behavioral information derived from runtime logs, the semantic intermediate representation comprising at least control flow structures, data flow relationships, API contracts, security constraints and performance attributes; iv. an artificial intelligence (AI) transformation module (118) configured to generate modernized software components based on the semantic intermediate representation; v. a validation module (120) configured to perform structural, behavioral and interface contract equivalence between the modernized software components obtained from the AI ​​transformation module (118) and the legacy software artifacts received via the data input module (110), and to transmit validation results to the AI ​​transformation module (118) for iterative correction; vi. an output module (122) configured to receive the validated modernized software components from the validation module (120) and to generate executable modernization artifacts, including source code, deployment descriptions and interface specifications, the artifacts being provided to the user device (102) via the communication interface (106).

This invention belongs to the field of software engineering technology, specifically relating to a method for evaluating the capabilities of intelligent software development tools to meet enterprise-level engineering quality requirements. The invention includes constructing an evaluation system for intelligent development tools that supports multiple difficulty levels; constructing a multi-type evaluation task set that supports various development scenarios; automating the evaluation of the development assistance capabilities of intelligent development tools; and comprehensively generating multi-dimensional evaluation reports using the data analysis capabilities of a general-purpose large model. This invention supports flexible definition of evaluation task types, difficulty dimensions, and difficulty levels, establishing an evaluation system that is easy to customize and extend. This invention can improve the comprehensiveness and objectivity of intelligent development tool capability evaluation, enabling the evaluation results to objectively reflect the actual assistance effect of intelligent development tools on developers, and providing a reference for evaluating the application effect, product selection, and improvement direction of intelligent development tools for enterprise software development practices.

Embodiments provide an adaptive issue type identification platform for automatically determining an issue type in an enterprise-level software development issue-tracking application. Embodiments include receiving a request to generate an issue data object, causing initializing of the issue data object in a data store, causing display of an issue management capability selection interface, and receiving issue capability selection input in response to user engagement with the issue management capability selection interface. In response to receiving the issue capability selection input, the adaptive issue type identification platform fetches an operational capability set from a capability registry based on the issue capability selection input, causes the association of the operational capability set to the issue data object at the data store, determines an issue type identifier for the issue data object based on the operational capability set, and updates metadata associated with the issue data object to include the issue type identifier.