62 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.

The invention discloses a software development system management method based on big data, and relates to the technical field of big data, and the method comprises the steps: carrying out the multi-state conversion of collected comprehensive development data, obtaining a comprehensive development signal, setting a standard extraction coefficient, carrying out the standard extraction and set construction of the comprehensive development signal, and obtaining a correction matrix set; constructing a project plate space, performing repeated verification on the development flow section according to the correction matrix set comparison to obtain a verification correction matrix, and performing result analysis and redundancy elimination on the verification correction matrix to obtain an updated correction set; the method comprises the following steps: setting a shared matching end to carry out preparation acquisition to obtain pre-development data, carrying out polymorphic conversion and homomorphic pre-check on the pre-development data to obtain a pre-matching development matrix, and carrying out merging matching on project plate spaces according to the pre-matching development matrix to obtain optimal reference data; and the development team can more effectively allocate resources, the resource sharing efficiency is improved, redundant data is eliminated, the storage cost is greatly reduced, and the use of storage resources is optimized.

The invention relates to the field of computer software, and discloses an open source software code security and compliance management and control method which comprises the following steps: acquiring security vulnerabilities, licenses, version information and dependency relationship data of an open source component, constructing a component-characteristic matrix based on the data and performing dimension reduction processing, predicting a security vulnerability risk and a compliance risk of the component; key components and potential vulnerability propagation paths are identified by constructing a dependency graph and calculating a Laplacian matrix in combination with eigenvalue analysis; and finally, generating a security vulnerability repair suggestion and a compliance review report, helping a development team to preferentially process high-risk problems, and ensuring that the project meets the requirements of related licenses. According to the method, the bug repairing process can be optimized, the safety and compliance of open source software are improved, and the maintainability of the system is improved.

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 an adjustment method for an SAAS platform service rule and an interpreter system. The invention relates to the technical field of a multi-tenant software as a service (Software as a Service) platform. Starting a rule definition interface; and receiving an interface edited by a user in a graphical manner or calling a template in the rule template library, and automatically defining and constructing a business rule. Meanwhile, format check and grammar verification are carried out on the service rules; and if the rule has a problem, returning error information to the user interface. A business rule passing verification is analyzed through an RETE algorithm interpreter module and converted into executable rule logic (rule program); according to the technical scheme of the invention, the tenants can quickly define and adjust the rules according to own business requirements without waiting for the support of a development team, so that the flexibility and response speed of the business are greatly improved. The tenants can flexibly define and adjust the business rules, and personalized requirements are met.

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 invention provides an automatic code review method, a computer and a storage medium, and belongs to the technical field of automatic code review, and the review method comprises the steps that the computer collects codes and program error reports submitted by a development team in the past, trains an artificial intelligence model, and integrates the artificial intelligence model to an application platform, by deploying software and a warehouse trigger event, automatically executing a difference generation script, comparing the difference between a to-be-examined code and a previous version, examining the difference content, deeply analyzing the difference content through an artificial intelligence model in an application platform, automatically generating an examination report, identifying potential problems and providing improvement suggestions. And analyzing information in the review report through deployment software, and notifying a development team to view a feedback result through a mail. And the computer performs incremental training on the artificial intelligence model according to the difference content between the newly submitted code and the old data, and regularly updates the review standard and rule. According to the invention, the code review efficiency is improved.

A company that develops software applications for operating and managing autonomous vehicles has an array of developer teams working on many different projects. Successful continuous delivery of software applications for the company can depend on reliability of the cluster infrastructure. Platform owners may be most knowledgeable when it comes to setting up cluster group that spans multiple regions. A developer working on a project can select, on a project management system, a cluster group for deployment of the project. A cluster group can specify a name for the cluster group, a plurality of environment-stack channels, and one or more clusters in deployment infrastructure associated with each environment-stack channel. The project management system can seamlessly provision resources for the project according to the selected cluster group.

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.

A company that develops software applications for operating and managing autonomous vehicles has an array of developer teams working on many different projects. In addition, continuous integration and continuous delivery of software applications for the company can involve complex pipelines. A pipeline for an application can include parts, such as, integration testing, building, build testing, deploying, and monitoring the application. Different systems may be tasked to execute a part of the pipeline for the application on a destination (e.g., a particular namespace), and the respective systems may need access and / or permissions to execute the part of the pipeline on the destination. Adhering to the principle of least privilege access, permission(s) for executing the part of the pipeline may be narrowly scoped for the system executing the part, so that the system may have only what the system needs to execute the part of the pipeline, and no more.

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 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.

A company that develops software applications for operating and managing autonomous vehicles has an array of developer teams working on many different projects. Successful continuous delivery of software applications for the company can depend on reliability of the cluster infrastructure. Platform owners may be most knowledgeable when it comes to setting up cluster group that spans multiple regions. A developer working on a project can select, on a project management system, a cluster group for deployment of the project. A cluster group can specify a name for the cluster group, a plurality of environment-stack channels, and one or more clusters in deployment infrastructure associated with each environment-stack channel. The project management system can seamlessly provision resources for the project according to the selected cluster group.

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.