44 results about "Development team" patented technology

An assessment system can generate a software quality value based on testing results and analysis of a multitude of factors that impact a readiness evaluation. For example, the system generates a software quality score (e.g., an Applause Quality Score “AQS”) that enables development teams to understand the level of quality they are achieving for a given release and build-over-build. In various examples, the system generates a data-driven score to enable development teams or quality assurance teams to make decisions for when a build is ready for release. In further embodiments, the system can integrate user interfaces that present a software quality score in a user dashboard that is linked to version control systems. On review and acceptance of the score, a user can trigger the release of their new code or product.

Systems and methods for providing an automated quality assurance framework for infrastructure as code (“IaC”) implementations are provided. Pull requests with proposed change to existing IaC source code (“changed code”) are received from user devices, each associated with either a service enablement team member or an applications development team member. Team specific versions of the quality assurance framework are automatically triggered for the changed code which require successful passage through multiple modules, such as in a successive manner, before automatically being merged into the existing IaC source code.

The invention discloses a software developer information security judgment method, system and device and a medium, and relates to the technical field of software development security management, and the method comprises the steps: obtaining the historical core development behavior data of a developer, and constructing a multi-dimensional behavior feature vector and a development team cooperation relation graph; establishing a personalized behavior baseline model in combination with the role behavior template; calculating an individual risk score based on the behavior data collected in real time; establishing a team risk propagation model to generate a team cooperation risk index; determining a risk level according to the individual risk score and the team cooperation risk index, and executing a response strategy; and collecting evaluation data to optimize the behavior baseline model and the team risk propagation model. According to the method, a complete technical link from historical data analysis to real-time risk monitoring is constructed, the risk identification and early warning capability is improved, dynamic regulation of risk prevention and control is realized through differentiated response of scene perception, and a reliable information security protection scheme is provided for a software development team.

The present invention discloses a software development system management method based on big data, which relates to the technical field of big data. The method comprises the following steps: performing polymorphic conversion on collected comprehensive development data to obtain a comprehensive development signal; setting a standard extraction coefficient to perform standard extraction and set construction on the comprehensive development signal to obtain a correction matrix set; constructing a project plate space and performing repeated verification on the development flow segment according to the comparison of the correction matrix set to obtain a verification correction matrix; performing result analysis and redundancy elimination on the verification correction matrix to obtain an updated correction set; setting a shared matching end for preliminary collection to obtain pre-development data; performing polymorphic conversion and homomorphic pre-inspection on the pre-development data to obtain a pre-matching development matrix; merging and matching the project plate space according to the pre-matching development matrix to obtain optimal reference data; and facilitating a more effective allocation of resources by the development team, improving resource sharing efficiency, eliminating redundant data, significantly reducing storage costs, and optimizing the use of storage resources.

The invention relates to the field of data processing, in particular to an automatic customer satisfaction collection system and a data analysis method.The system comprises a data collection module used for automatically collecting behavior data of customers in the software using process through an API interface of enterprise management software; the feedback triggering module is used for automatically sending a satisfaction questionnaire to the customer according to a preset triggering condition; the real-time analysis module is used for carrying out real-time analysis on the collected customer behavior data and satisfaction feedback data, generating a customer satisfaction score and identifying key factors influencing the satisfaction; and the automatic optimization suggestion module is used for automatically generating optimization suggestions for software functions, user experience or service processes according to the analysis result, and pushing the optimization suggestions to related development teams. According to the method, efficient and deep analysis of the satisfaction degree data of the customer to the business is realized through deep analysis of the data and a real-time feedback mechanism.

The application discloses a component management method and system for multi-version development, a server and a storage medium. As a development team is continuously expanded, code is continuously updated, and the number of component versions of a project is increasing, the existing component management cost is too high. The application manages components without updating component versions through multiple index libraries, so that code running does not need to specify the version of a component, the problem that the component management cost is too high due to too many different versions of components in the prior art is solved, and the effect that single-version components are used to realize multi-version development is achieved.

The invention provides a CUDA (Compute Unified Device Architecture) compiler-oriented test failure case duplicate removal method, and belongs to the technical field of CUDA compiler testing. In order to solve the problem that a large number of redundant test failure cases are caused by fuzzy testing of the CUDA compiler, code features of the test failure cases are extracted through a deep learning model, feature vectors are generated, runtime information of the test failure cases is collected based on an executable file of the CUDA compiler, and runtime feature vectors of the test failure cases are generated; the method comprises the steps of calculating a distance matrix of code dimensions of all test failure cases and a distance matrix of runtime dimensions, normalizing the two matrixes and generating a multi-dimension fused comprehensive distance matrix, and finally obtaining a priority sequence of test failure through a farthest point priority algorithm so as to realize duplicate removal of the test failure cases. According to the method, the test failure cases triggering the same CUDA compiler defects can be accurately identified, the repeated work of a development team is effectively reduced, and the debugging efficiency of the test failure cases is improved.

A system for analyzing a structure of a vehicle controller area network (CAN) is configured to obtain a level 2 (LV2) application software module, process the LV2 application software module to extract a set of LV2 variables from the LV2 application software module, obtain a plurality of lists of signals corresponding to a plurality of development teams of the vehicle, process the plurality of lists of signals to extract respective sets of LV2 signals from the plurality of lists of signals, generate a LV2 variable map based on the extracted set of LV2 variables and the extracted sets of LV2 signals, and generate a LV2 signal report detailing a set of inconsistencies based on an analysis of the generated LV2 variable map.

The present invention discloses a mobile application GUI intelligent testing method and system, which relates to the technical field of GUI intelligent testing. The method comprises extracting attribute information of an initial interface element to be tested of a mobile application, calculating the image similarity between the initial interface to be tested and the standard image initial interface, and selecting different initial test processing strategies; after receiving an initial element test command, clicking on the initial interface elements to be tested in sequence to obtain a second element test interface to be tested, calculating the image similarity between the second element test interface to be tested and the standard second element test interface, and calculating the initial element test difference value, and issuing a GUI test abnormality warning; calculating the mean value of the performance coefficient of the mobile application on different platforms, and issuing a GUI test standard remake warning, which can timely discover problems existing in the mobile application on different platforms, and help the development team to quickly locate the problems and repair them.

This disclosure automates the sharing of components by development teams. A shared component build pipeline is incorporated seamlessly into the build pipeline of a first application. Shared components may be automatically updated when the first application is updated. A f storage device may have a plurality of local components, a plurality of shareable components provided by the first application, and a configuration file of the first application. The configuration file identifies the plurality of local components and the plurality of shareable components provided by the first application. The system is configured to detect, during processing the build pipeline of the first application, an indication of a shareable component included in the first application. The shared pipeline extracts the detected shareable component from the first application based on the indication, builds the detected shareable component, and stores the built shareable component as a shared component in a repository.

The application discloses a chip software development platform, which comprises a foreground, a middle stage and a background; the middle stage comprises a business middle stage and a data middle stage; the foreground is used for providing an application system; the business middle stage is used for providing common services for calling of the application system of the foreground; the data middle stage is used for providing common data for access of the common services of the business middle stage; and the background is used for analyzing files to obtain software and hardware component information and storing the software and hardware component information into the data middle stage. The chip software development platform can greatly reduce code software redundancy of the foreground, shorten a new function development period, effectively reduce a later maintenance cost and improve a product upgrade iteration period. In addition, interaction and cooperation among the foregrounds are simpler, and the interaction process among different foregrounds and the human cooperation cost of a research and development team can be effectively simplified. Furthermore, the chip software development platform can greatly enhance customization of the background.

The application provides a large enterprise internal self-development information system code security evaluation method and system. The application uses code security visualization integrated management technology, distributed message queue technology, flow collection technology and vulnerability detection technology to realize security detection of enterprise internal self-development system code, high-risk vulnerability scanning, effectively solve the problem of frequent security vulnerabilities of self-development information system after online, and provide real-time reliable data support for the code security situation and information security situation of the development department at all levels for the company information management layer through the visualization integrated management technology. In addition, the application can be applied to the large enterprise internal self-development information system development team, and the information security vulnerability detection is carried out on the code side before the information system is online, so that the information security vulnerability can be found in time and effectively.

The invention belongs to the technical field of computers, and particularly relates to an applet multi-framework coexistence implementation method based on a cross-end framework, projects using different technical frameworks are compiled into respective products: projectA is developed by using a technical framework A, a compiled product file is distA, and then the distA is integrated into pageA.js, pageA.json, pageA.wxml and page.wxss; the projectB is developed by using a technical framework B, a compiled product file is distB, and then the distB is integrated into pageB.js, pageB.json, pageB.wxml and page.wxss; the projectC is developed by using a technical framework C, a compiled product file is distC, and then the distC is integrated into pageC.js, pageC.json, pageC.wxml and page.wxss; according to the invention, a plurality of technical frameworks are used for development; a plurality of frameworks can coexist and can be independently and randomly combined for deployment and release; and flexibility and expandability: different technical frameworks are used for development, and the most suitable framework can be selected according to project requirements. The method allows a development team to use different frameworks in the same applet at the same time, thereby providing greater flexibility and expandability.

The application discloses a software development security test management method and system, and relates to the technical field of software development test, solves the problem of insufficient comprehensiveness of original corresponding software in the security test process, and can dynamically analyze the resource occupation mode of software under attack pressure by capturing the CPU utilization rate characteristic curve in the attack simulation signal triggering period; specifically, by identifying the abnormal curve segment and the corresponding time line with a load rate exceeding 85%, the attack type (such as CPU overload caused by DDoS simulation attack) leading to system resource exhaustion can be accurately located; compared with the traditional test only focusing on the existence of vulnerabilities, the application further reveals the actual influence of the attack on the system stability, for example: the CPU abnormal curve segment corresponding to a substandard signal in the test can be directly associated with the unoptimized loop logic defect in the code, thereby providing the development team with accurate performance optimization direction.

The invention relates to the technical field of software development, and discloses a software development collaborative interaction method, which comprises the following steps of: deploying a user behavior monitoring component to acquire multi-user group operation sequence data and converting the data into a structured demand item; constructing a demand evolution graph to record a historical demand evolution path; establishing a multi-subject collaborative prediction system integrated multi-user group local prediction model; a distributed verification system is implemented to verify and correct the prediction result; and generating collaborative development tasks and priority suggestions based on the verification result. According to the method, accurate capture and prediction of multi-user group demands are realized, the software development efficiency and quality are improved, and prospective planning and resource optimization allocation of a development team are supported.

The invention provides a public component development management method. The method comprises the following steps: establishing a code writing specification, a dynamic expansion mechanism, a code annotation specification and a version control strategy for developing a public component; establishing a development team training mechanism and a code review mechanism based on the code writing specification; designing dynamic parameters based on a dynamic expansion mechanism; optimizing the annotation document based on the code annotation specification; and managing the version of each public component in the public component library based on the version control strategy. By establishing a series of management specifications and optimization mechanisms, the development efficiency, quality and maintainability of the public component are improved, and the flexibility and expandability of the public component are enhanced. Through the implementation of the steps, it is ensured that developers can rapidly and easily integrate and call the public components, and meanwhile customized configuration and expansion can be conducted according to specific requirements of the project, so that the development efficiency is improved, the maintenance cost is reduced, and successful implementation of the project is promoted.

This invention discloses a user experience-based method and related equipment for optimizing automotive functions. The invention automatically acquires user request information from the vehicle, generates executable function code, and sends it to the development team. This executable function code serves as feedback information to the development team, allowing for analysis, research, and the development of automotive function optimization data packages. This enables users lacking software development skills to ultimately provide their user request information to the development team in the form of executable function code. Compared to directly providing user request information in natural language, this improves the efficiency of information feedback to the development team, reduces misunderstandings and other problems caused by inadequate automotive function optimization due to direct expression of user requests in natural language, and also protects user privacy on the vehicle side. This invention has wide applications in the automotive technology field.

The invention discloses a software development quality evaluation system based on big data, which relates to the technical field of software engineering and big data analysis and comprises a data acquisition and preprocessing module, a multi-dimensional quality feature extraction module, a dynamic weight distribution module, a comprehensive quality score calculation module, a real-time early warning module and a result visualization module. Through cooperative work of the data acquisition and preprocessing module, the multi-dimensional quality feature extraction module, the dynamic weight distribution module, the comprehensive quality score calculation module, the real-time early warning module and the result visualization module, comprehensive evaluation and real-time monitoring of the software development quality are realized. In an actual application scene, the system not only can help a development team to discover potential quality problems in time, but also can provide a scientific decision basis for the development team, so that the reliability and the stability of software products are remarkably improved.

The application relates to an engineering project investment evaluation method, system, device, medium and program product, and belongs to the field of software engineering.The method comprises the following steps: obtaining user requirement text of an engineering project; estimating function points of the project according to the text; estimating engineering project story points based on historical development data of a development team of the project and the user requirement text; determining the corresponding relationship between the function points and the story points; determining changed function points according to new requirement text; determining story points of the new requirement text according to the corresponding relationship between the changed function points and the story points; determining the estimated cost of the engineering project based on the story points of the new requirement text and the historical development data of the development team of the engineering project; and performing investment evaluation of the engineering project based on the estimated cost.The application can perform more accurate investment evaluation according to the change of user requirements, the change of function points and the characteristics of the development team, and is suitable for investment evaluation of various development teams in agile development.

An assessment system can generate a software quality value based on testing results and analysis of a multitude of factors that impact a readiness evaluation. For example, the system generates a software quality score (e.g., an Applause Quality Score “AQS”) that enables development teams to understand the level of quality they are achieving for a given release and build-over-build. In various examples, the system generates a data-driven score to enable development teams or quality assurance teams to make decisions for when a build is ready for release. In further embodiments, the system can integrate user interfaces that present a software quality score in a user dashboard that is linked to version control systems. On review and acceptance of the score, a user can trigger the release of their new code or product.

The invention relates to a visual service building method and device and electronic equipment, and belongs to the technical field of software systems.The method comprises the steps that an atomization behavior unit library containing a plurality of atomization behavior units is built, and each atomization behavior unit corresponds to one service operation; in response to user operation, dynamically presenting the atomization behavior unit library in the visual interface; and receiving a selection instruction of a user on the target atomization behavior units in the visual interface based on the logic sequence of the business requirements, and according to the logic sequence, constructing the plurality of target atomization behavior units into an executable business process. The technical problem that in traditional software system development, implementation of business logic highly depends on programming languages and professional ability of development teams in the prior art is solved.

The invention relates to the technical field of intelligent cabins, in particular to a screen log acquisition method, device and equipment and a storage medium, and the method comprises the steps: responding to a screen log acquisition demand of external storage equipment accessed to a vehicle-mounted terminal system when the external storage equipment accessed to the vehicle-mounted terminal system is identified; reading a pre-defined configuration description file in an external storage device; according to the configuration of the configuration description file, collecting and exporting corresponding screen log data, and generating a screen log file; the screen log file is copied to the external storage device, and a screen log export prompt is displayed, so that the situation that log export is affected due to the fact that the external storage device is pulled up in the waiting process of a user is avoided. According to the scheme, the effective log when the screen is abnormal can be obtained in time, the problem analysis and positioning period is shortened, and therefore the working efficiency of a research and development team is improved.

The invention provides a software engineering processing method and device, equipment and a storage medium, and relates to the technical field of computers. The method comprises the following steps: mapping contents in a main project of target software into a multi-class framework according to a content function to obtain an independent project of the target software; the content of the main project comprises software content cooperatively developed by a plurality of development teams; the multiple types of frames correspond to multiple functions respectively; according to the information query request, at least one type of frame corresponding to the information query request in the independent project is adopted, and at least one type of target information is obtained from the content of the main project; and generating an information packet corresponding to the information query request according to the at least one type of target information. According to the technical scheme, the independent project corresponding to the main project is automatically generated based on the content in the main project, and related information for the target software can be automatically acquired from the main project by adopting the independent project without applying a third-party tool, so that the information of the target software can be conveniently acquired from the main project, and the user experience is improved.

The invention discloses a research and development team mining method, device, medium and system based on multi-dimensional association, and belongs to the field of intellectual property big data analys.The research and development team mining method comprises the steps that after entity normalization processing is conducted on a data set, triple knowledge representation is constructed; taking the triple knowledge representation as input, and defining and discovering a research and development team through online merging clustering processing based on triple set intersection; and finally, generating a semantic identifier for each discovered research and development team based on statistical characteristics. According to the method, the recognition result precision is improved, and the interpretability is good.

The invention discloses an automatic software package uploading method and device, equipment and a storage medium, and the method comprises the steps: obtaining a to-be-uploaded software package based on an incoming software package storage path, and extracting development data and metadata from the software package, the development data comprising a development team identifier and a team name, and the metadata comprising a software name and a software version; acquiring a publisher account used for uploading the software package, querying publishing team identifiers corresponding to a plurality of publishing teams to which the publisher account belongs, and determining a matching condition of the development team identifier and the publishing team identifier; and under the condition that the plurality of release team identifiers are matched with the development team identifier, generating an upload package based on the upload data and the software package, and uploading the upload package to the target platform by using the publisher account and taking the development team corresponding to the development team identifier as a main body. According to the scheme, automatic software uploading is achieved, extra uploading information parameters do not need to be transmitted externally, and the automation degree and uploading efficiency of software racking are improved.

The invention relates to the technical field of artificial intelligence development tools, in particular to a low-threshold AI development system based on an automation technology. According to the technical scheme, the low-threshold AI development system based on the automation technology comprises a data processing and security module, a low-code model building module, a model interpretation and credibility module, a multi-environment deployment module, an intelligent workflow arrangement module and a plug-in ecological and expansion module. Automatic preprocessing is achieved through a multi-modal data analyzer and a dynamic cleaning rule base, data samples are enhanced in combination with a generative adversarial network, an end-to-end automatic assembly line is constructed, manual intervention is reduced, a development team can concentrate on core algorithm optimization, version control is achieved through Git-LFS integration, and the development team can concentrate on data consanguinity tracking. The data change traceability is ensured, and the data processing efficiency is effectively improved.

The invention discloses a software development security test management method and system, relates to the technical field of software development test, and solves the problem of insufficient comprehensiveness in the security test process of original corresponding software. The resource occupation mode of the software under the attack pressure can be dynamically analyzed; the method specifically comprises the following steps: accurately positioning attack types (such as CPU overload caused by DDoS simulation attack) causing system resource exhaustion by identifying an abnormal curve segment with a load rate exceeding 85% and a corresponding timeline; compared with a traditional test which only focuses on vulnerability existence, the method further reveals the actual influence of the attack on the system stability, for example, a CPU abnormal curve segment corresponding to a certain test substandard signal can be directly associated to an unoptimized loop logic defect in a code, and a precise performance optimization direction is provided for a development team.

The present application relates to a kind of based on openGauss Data Studio implementation database physical modeling method and device.The present application includes preparing development environment and dependence, configure the menu and operation panel of physical modeling, realize front-end physical modeling based on H5 and Antv X6, UI is fused to openGauss Data Studio to the front-end modeling content is transmitted to back-end JDBC and is executed.The present application can be based on the development environment of database, realize the design of visual physical modeling, can directly show the physical storage structure of database during design process, including table space, table, constraint and various objects and its relationship, and one-key type is completed the execution of modeling DDL, it is saved in different tools back and forth switching and facing complex modeling syntax, greatly simplify the modeling process, improve the development efficiency of research and development team, reduce human cost.

The invention relates to the technical field of software engineering, and discloses a software development management method and a software development system.The method comprises the steps that structural decomposition is conducted on original demand information provided by a user, and a structural demand library is obtained; based on entries in the structured demand library, performing step-by-step disassembly on the development work to obtain a dependency relationship of task nodes, and linking the task nodes based on the dependency relationship to obtain a task topology network of software development; performing multi-dimensional analysis on roles and skill attributes of development team members in the development process to obtain a resource capability portrait; performing association mapping on the resource capability portrait and task nodes in the task topology network to obtain a resource load view; monitoring the state of the task node in real time, and synchronizing the state change to the resource load view to obtain a dynamic project state; performing function compliance confirmation on the product based on the dynamic project state to obtain an acceptance report; according to the invention, the efficiency of software development management can be improved.