102 results about "Development team" patented technology

A system for automated software testing and continuous integration in an agile environment, consisting of: a central processing unit (CPU) configured to execute test protocols and manage integration processes; a test engine operationally connected to the CPU, configured to detect code changes, select relevant test cases based on dependency mapping, and execute automated tests across multiple environments, generating logs and coverage reports; a CPU-connected continuous integration server configured to compile and deploy software builds upon successful completion of test protocols, the server including a rollback mechanism to revert to previous builds in case of failure; and a containerization module linked to the test engine and the continuous integration server.The containerization module uses container technology to create isolated test environments for consistent and parallel test execution, thereby optimizing resource allocation; and a feedback reporting unit configured to consolidate test results, build status, and code coverage metrics and present them to development team members in real time via an integrated dashboard, enabling an immediate response to identified issues.

The invention discloses a database driven document content pressure testing and monitoring system and method. The system comprises a database query module, a data processing module, an automatic test triggering module, a pressure test execution module, a real-time monitoring module, a data analysis and feedback module and a configuration and management module. According to the method, the JMeter is integrated into the CI / CD tool, the JMeter is configured to interact with the common CI / CD tool so as to support automatic triggering and execution of testing, continuous integration process design is adopted, check points are set in the CI / CD process, after code changes and is pushed to a version control system, a bound JMeter performance testing task is automatically started, a real-time monitoring and feedback mechanism is adopted, and the performance testing efficiency is improved. The test task comprises a component for monitoring performance indexes in real time, so that data can be captured in real time during the test execution period, and feedback can be immediately provided for the development team after the test is completed.

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.

Techniques described herein include assessing factors that may affect the quality of software under development by a development team or that may be used to evaluate the health of software already deployed in a computing environment. In one example, this disclosure describes a method that includes collecting, by a computing system, historical information about a plurality of prior development projects; correlating, by the computing system, the historical information with each of a plurality of developers that participated in one or more of the plurality of prior development projects; collecting, by the computing system, information about an application developed by a subset of the plurality of developers; generating, by the computing system and based on the information about the application and the correlated historical information, a predicted outcome for the application; and taking an action, by the computing system and based on the predicted outcome, to prevent the predicted outcome.

The invention relates to the technical field of information management, in particular to a software development service management platform and method. The method comprises the following steps: acquiring customer demand change information, analyzing the customer demand change information, and determining demand change key information; obtaining a project development flow chart, analyzing the demand change key information and the project development flow chart, and determining a business modification starting node; obtaining a project milestone node list, modifying the initial node according to the business, screening the project milestone node list, and determining a key milestone node; analyzing a service modification starting node and a key milestone node, and determining a resource overall planning influence factor set; and according to the resource overall planning influence factor set, determining and outputting a resource overall planning plan for reference of a project development team. According to the method and the device, software development project resources are quickly and effectively planned, so that the software development business process is prevented from being disrupted by temporary requirements of customers, and the customer satisfaction is improved while project risks are reduced.

An error documentation system including tools to collect and analyze application error data for individual development teams and tools to share documented defects and solutions across development teams during any stage of development cycle. The system may receive and analyze event logs for error events triggered by applications on end-user devices. The system may automatically generate defect tickets and / or ticket entries for defects identified in event logs. The system may train one or more machine learning (ML) models to correlate input with identified defects from a defects database. In response to identifying correlated identified defects, the system may generate ticket entries indicating the correlated identified defects and associated solutions for the defects. The system may provide an interface for users to query the data stored in the database.

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 provides a method and device for automatically generating script codes, electronic equipment and a medium. The method comprises the steps that a source file containing to-be-processed data is obtained; receiving a mapping relation from the source file to a target file input by a user, wherein the mapping relation is used for defining a conversion rule and a path of source file data; and based on the mapping relationship, generating a corresponding SQL script code through a preset algorithm. And the time of manually writing the SQL script by a developer is shortened, especially when a repetitive task needing a large number of similar codes is processed. Through an automatic process, a standardized code can be quickly generated, manpower and material resources are greatly saved, and a development team can concentrate on higher-level innovation and optimization work. In addition, the automatically generated SQL script follows a consistent structure and style, which helps to improve the readability and maintainability of codes. The unified code standard reduces the complexity of maintenance work, and reduces errors caused by inconsistent styles or disordered structures, thereby improving the stability and development efficiency of the whole project.

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.

We provide the system. [Solution] The present invention relates to a user test simulation system that automatically generates virtual agents with diverse user profiles using generative AI, simulates the operation procedures of a prototype, collects and analyzes detailed user interaction data, and automatically extracts problems and areas for improvement. The system comprises a prototype information acquisition unit, a virtual agent generation unit, a user interaction evaluation unit, and an analysis feedback generation unit, and is characterized by providing the development team with verification from diverse user perspectives and concrete feedback in a short time and at low cost, thereby simultaneously achieving increased efficiency and improved quality in the verification work of new product development.

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 discloses a software development system management method based on big data, and relates to the technical field of big data. The method comprises the following steps: performing polymorphic conversion on the 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, and merging and matching the project plate space according to the pre-matching development matrix to obtain optimal reference data; and facilitating the development team to allocate resources more effectively, improve resource sharing efficiency, eliminate redundant data, significantly reduce storage costs, and optimize the use of storage resources.

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.

The invention provides a delivery quality alarm processing method and device for an informatization research and development project, and belongs to the technical field of research and development management. The method comprises the following steps: extracting research and development process data of a research and development team of an informatization research and development project from a data acquisition end; performing classification processing on the research and development process data according to multiple types of preset delivery quality indexes to obtain a group of to-be-processed data corresponding to each type of preset delivery quality index, and selecting a preset operation model corresponding to the to-be-processed data from multiple preset operation models to determine as a target operation model; inputting the to-be-processed data into the target operation model to generate a first delivery quality value; accumulating all the first delivery quality values to obtain a second delivery quality value; and if yes, generating an alarm prompt and sending the alarm prompt to a project management end, so that the project management end completes reminding of a user related to the informatization research and development project. According to the invention, the efficiency and accuracy of delivery quality alarm processing can be 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.