28 results about "Software research" patented technology

The invention relates to the technical field of software collaborative research and development assistance, and discloses a software collaborative research and development assistance method and device, electronic equipment and a storage medium. The method comprises the steps that instruction information input by a user is analyzed to obtain intention information, and then a corresponding demand sub-agent, a corresponding development sub-agent and a corresponding test sub-agent are determined; performing retrieval analysis on the intention information to compare the intention information with conflict detection of a preset historical demand library to obtain a demand document, executing code generation based on the demand document to obtain an intermediate software code, inputting the intermediate software code into the test sub-agent for testing to obtain a test result, and adjusting the intermediate software code to obtain the test result. And obtaining the target software code. The method has the beneficial effects that the software research and development process is converted from manual cooperation to intelligent execution, and the research and development efficiency is greatly improved while the quality is guaranteed.

The invention relates to the technical field of block chain software research and development, and discloses a software technology research and development task progress tracking system based on a block chain. The system comprises a task feature extraction module, a node mapping module, a task chain combination module, an anomaly tracking module, a progress updating module and a progress management library construction module. The task feature extraction module decomposes task attributes by means of a block chain feature tree to generate a task feature matrix; the node mapping module retrieves the nodes and performs matching verification, and generates a target mapping relation from the task to the nodes; the task chain combination module extracts a core node set to calculate a matching degree, and generates a task association sequence with a timestamp; the exception tracking module constructs a research and development state space, monitors deviation and generates an exception propagation path; the progress updating module corrects the mapping relation to generate a dynamic progress topology; and the progress management library construction module analyzes the topology to generate a structured progress tracking chain, so that efficient promotion of software research and development tasks is guaranteed.

The application relates to the field of computer software development, and provides a software research and development efficiency evaluation method, device and computer equipment, which comprises the following steps: acquiring a business process and product functions corresponding to the business process; performing hierarchical processing on the business process to obtain a business tree; performing hierarchical processing on the product functions to obtain a function tree; associating the function tree with the business tree corresponding to the function tree to obtain a product map; calculating the efficiency of each node of the function tree according to the product map to obtain an efficiency index corresponding to each node; traversing the efficiency index corresponding to each node of the function tree to form a function list; and filtering out the efficiency index corresponding to a preset index value from the function list to output an evaluation suggestion. The embodiment of the application can perform fine-granularity evaluation on the business and product internals, and output an evaluation suggestion.

The application particularly relates to a software research and development automatic test method, which comprises the following steps: S100, selecting a specified type of hardware according to a test item, selecting a specified type of operating system, and generating a running environment required by deployment of various types of software; S200, testing code to be tested through a preset test script file in the deployed running environment; and S300, generating a test report after analyzing and processing data generated in the test process. Through automatic script deployment, the running environment can be constructed in a very short time, the constructed environment can be massively copied when hardware platform resources are sufficient, and the deployment is less prone to errors due to less human intervention; and the test personnel provide almost the same test environment, which provides a prerequisite for defect reproduction, has a very low error rate, and is beneficial to better understanding, reproducing and solving defects by the research and development personnel, thereby bringing convenience to the research and development work of the project research and development personnel.

The application discloses a management method and device of a whole vehicle software research and development platform, relates to the technical field of data processing, and mainly aims to realize partition management of vehicle demands and use cases corresponding to the vehicle demands according to public reuse and vehicle model project special use. The main technical scheme of the application is as follows: obtaining target vehicle demands corresponding to a vehicle model project and test cases corresponding to the target vehicle demands from a preset public demand document according to a vehicle model project generation request; generating the vehicle model project document according to the target vehicle demands corresponding to the vehicle model project and the test cases corresponding to the target vehicle demands; adjusting in the vehicle model project document; judging whether the type quantity of vehicle model projects to which the adjusted vehicle demands and the test cases corresponding to the vehicle demands are applicable is greater than a preset threshold value; if yes, storing the adjusted vehicle demands and the test cases corresponding to the vehicle demands into the preset public demand document. The application is used for a whole vehicle software research and development platform.

The invention provides a software effectiveness measurement method and device, equipment and a storage medium, and belongs to the technical field of software development. The method comprises the following steps: processing data generated in a software research and development process into efficiency measurement data; identifying a data function and an interaction function of a reconstruction system associated with the demand of the software according to the efficiency measurement data; analyzing the data function and the interaction function to obtain the number of required function points, and determining the contribution proportion of the data function to the required function points according to the total number of newly added and transformed fields required for realizing the data function; determining the contribution proportion of the interaction function to the required function points according to the number of logic processing units for realizing the interaction function; calculating an efficiency evaluation index value changing along with the function point number according to the required function point number; and generating an efficiency measurement result of the software based on the efficiency evaluation index value. According to the method, more accurate software effectiveness measurement is realized.

The invention discloses an embedded DC-DC digital converter software closed-loop debugging system and method, and in the development of a DC-DC digital converter, software closed-loop debugging is realized by embedding a power electronic switch network and digital filtering simulation in an embedded circuit. The system outputs an electrical relation transformation formula based on a duty ratio signal D, performs DC-DC simulation transformation on an input voltage to obtain a transformation voltage, filters the transformation voltage through a simulation LC digital filter to obtain an output voltage, samples voltage and current feedback values after simulation application, and performs closed-loop regulation on the duty ratio signal D according to the voltage and current feedback values. According to the invention, a power electronic switch network and digital filtering software are embedded on the embedded circuit board for simulation, so that the limitation that software closed-loop debugging can only be carried out after hardware is completed in existing research and development is broken, closed-loop debugging of a DC-DC converter core control algorithm is carried out in advance, software development and hardware development are synchronously promoted, and the development efficiency is improved. Software research and development stagnation caused by a hardware period is avoided, and the overall research and development period is greatly shortened.

The application discloses a software research and development security access control implementation method, device and equipment and a storage medium. The method comprises the following steps: the function test and the interface test are divided into multiple short period windows; test traffic is captured at the end of each short period window, and the test traffic is subjected to deduplication processing; the deduplicated test traffic is subjected to playback attack test to obtain a test result; the test result is subjected to access control detection at a first security checkpoint to obtain a first security scanning result; when the detection time of the access control detection exceeds a first preset time and the access control detection is not completed, the test result is subjected to access control detection at a second security checkpoint according to a second preset time to obtain a second security scanning result; and the test result, the first security scanning result and the second security scanning result are reported. According to the method, the application with long security test time does not need to block the process, and efficient cooperation of full-process automatic security test and agile delivery is realized.

The invention discloses a service instance creation method and device, electronic equipment and a storage medium. The method comprises the steps that a cloud server side responds to an instance creation request of a user side, and node state scores of historical scheduling screening stop nodes and candidate schedulable nodes in a cloud server cluster are determined; each candidate schedulable node is obtained by traversing the cloud server cluster by taking the historical scheduling screening stop node as a starting point; screening out a target schedulable node from the cloud server cluster according to the node state score of each candidate schedulable node; instantiating the target mirror image file to a target schedulable node from a pre-constructed mirror image warehouse; and distributing service resources in the target schedulable node to obtain an instance creation result, and sending a response to the instance creation result to the user side in a URL form. According to the technical scheme, tedious development environment building work is avoided, local computer resources are liberated, the application development difficulty is simplified, and the software research and development efficiency is improved.

The invention discloses a software research and development management method and system based on artificial intelligence, and relates to the technical field of software management, and the method comprises the steps: collecting research and development process data, and carrying out the data preprocessing; according to a preset demand change prediction model and the demand document, predicting the working hours of the related tasks and the influence degree of the task progress, and generating a change influence evaluation report; generating a resource allocation report according to the multi-dimensional data of the human resource data and a preset resource allocation strategy; performing agent quality and defect prediction according to the code data and a preset code prediction model, and generating a code optimization report; predicting a project delay rate according to the task, the task progress data, the multi-dimensional influence factors and a preset prediction delay risk model, and generating a project progress early warning report; and generating a corresponding dimension operation suggestion scheme according to the report, and performing updating processing. By adopting the method and the system, intelligent management of the software research and development process can be realized, so that the overall research and development efficiency and the software product quality are improved.

The present application is applicable to a field of computer technology, and provides a data processing method, a terminal device and a storage medium. The method is applied in a first terminal, which has loaded a first firmware, the first firmware including a first instruction set and first configuration information corresponding to each peripheral device. The method including: the first terminal acquires second configuration information from the first firmware according to the first instruction set, the second configuration information being first configuration information corresponding to target peripheral devices of the first terminal; and the first terminal drives the target peripheral devices according to the first instruction set and the second configuration information. The method can save software research and development resources.

The invention provides a collaborative research and development platform, method, medium and equipment, the research and development platform comprises an architecture research and development system and an algorithm research and development system, and the architecture research and development system maintains an architecture research and development code warehouse; the algorithm research and development system maintains an algorithm research and development code warehouse, and each business line function logic corresponds to a set of algorithm research and development codes; the architecture research and development system is further used for defining and creating a collaborative SDK, the collaborative SDK defines a unified service collaborative interface for each service line, and the algorithm research and development system is further used for compiling algorithm research and development codes corresponding to function logic of each service line according to the service collaborative interface of the collaborative SDK. And taking the algorithm research and development code as the content of the collaborative SDK and integrating the algorithm research and development code into the architecture research and development code warehouse. The software research and development efficiency can be improved.

The invention provides a strategy file generation method and device, a storage medium and an electronic device, and the method comprises the steps: constructing a sample strategy material; performing data cleaning on the sample strategy material to obtain training sample data; carrying out transfer learning on the open source model by adopting the training sample data to obtain an initial strategy generation model; performing reinforcement learning on the initial strategy generation model to obtain a target strategy generation model; software research and development materials of the target vehicle type are obtained, the software research and development materials are input into the target strategy generation model, a mandatory access control (MAC) strategy file of the target vehicle type is generated, the MAC strategy file comprises the mapping relation between the multiple sets of resource objects and the operation authority, and the software research and development materials comprise software codes and environment information of the software codes. Through the embodiment of the invention, the technical problem of low efficiency of editing the MAC strategy file in the prior art is solved, and the compilation difficulty of the mandatory access mode strategy is reduced.

The invention discloses a task man-hour estimation model training method, a task man-hour estimation method and a task man-hour estimation device, and belongs to the technical field of software development project management and artificial intelligence crossing. The training method comprises the following steps: constructing a directed weighted task dependency graph, a feature matrix and an actual working hour vector of each project based on a historical project database, further constructing a training set and a test set, training and evaluating a stacked graph convolutional network model based on the attention mechanism by using the training set and the test set, and obtaining an attention-mechanism-based stacked graph convolutional network model. Obtaining a trained stacked graph convolutional network model based on the attention mechanism; wherein the Stacked GAT model comprises a stacked graph attention convolution layer, a global feature aggregation layer and a full connection prediction layer. A stacked graph convolutional network based on an attention mechanism is designed, global features in a K-hop dependency range are captured through multi-layer message passing, the modeling problem influenced by remote dependency is solved, and the accuracy of man-hour estimation in a software research and development project can be improved.

The application provides a strategy file generation method and device, a storage medium and an electronic device, and the method comprises the following steps: constructing a sample strategy material; performing data cleaning on the sample strategy material to obtain training sample data; performing transfer learning on an open source model by using the training sample data to obtain an initial strategy generation model; performing reinforcement learning on the initial strategy generation model to obtain a target strategy generation model; obtaining software research and development materials of a target vehicle model, inputting the software research and development materials into the target strategy generation model, and generating a mandatory access control (MAC) strategy file of the target vehicle model, wherein the MAC strategy file comprises a mapping relationship between a plurality of groups of resource objects and operation permissions, and the software research and development materials comprise software code and environment information of the software code. Through the embodiment, the technical problem of low efficiency of editing a MAC strategy file in the prior art is solved, and the difficulty of mandatory access mode policy writing is reduced.

The application discloses a kind of vehicle-mounted controller software research and development management method, device, equipment and medium, comprising: from project plan information, the software requirement corresponding to the vehicle-mounted controller to be researched and developed is filtered out;According to software requirement and ASPI CE demand, determine core workbench from multiple existing candidate workbenches, and determine multiple target auxiliary tools from multiple existing candidate auxiliary tools;According to core workbench and multiple target auxiliary tools, construct software research and development management system;Based on software research and development management system, the research and development process of the software requirement corresponding to the vehicle-mounted controller to be researched and developed is managed, to meet the preset automobile software process improvement and capability evaluation standard demand requirement.The application realizes the complete software requirement management of the software research and development product of vehicle-mounted controller in its life cycle under the premise of meeting ASPI CE demand, greatly reduces the cost of enterprise to purchase research and development management tool.

The invention discloses a data processing method and device based on a software research and development process and electronic equipment. Relates to the field of software engineering and artificial intelligence. The method comprises the following steps: acquiring a plurality of performance indexes in a software research and development process; performing anomaly detection on the plurality of performance indexes by adopting an anomaly detection strategy to obtain a detection result; under the condition that the detection result indicates that an abnormal index exists in the multiple performance indexes, a root cause for generating the abnormal index and supporting evidence are determined through the diagnosis agent, and the supporting evidence comprises evidence for supporting the accuracy of the root cause; and generating an exception analysis result of the software research and development process based on the root cause and the support evidence. According to the method and the device, the technical problem of poor analysis effect due to manual causal analysis of abnormal performance indexes in a software research and development process by adopting artificial experts in related technologies is solved.

The invention discloses a software research and development security access control implementation method, device and equipment and a storage medium. The method comprises the following steps: splitting a function test and an interface test into a plurality of short-period windows; capturing the test flow at the end of each short-period window, and carrying out duplicate removal processing on the test flow; performing a playback attack test on the test flow subjected to duplicate removal to obtain a test result; performing access control detection on the test result at the first security card point to obtain a first security scanning result; when the detection time of the access control detection exceeds the first preset time and the access control detection is not completed, performing access control detection on the test result at the second safety card point according to second preset time to obtain a second safety scanning result; and reporting the test result, the first security scanning result and the second security scanning result. According to the method, the application with long security test time consumption does not need to block the process, and efficient coordination of security test full-process automation and agile delivery is realized.

The invention discloses a full-life-cycle management method, device and system for engineering machinery industry product software, and the method comprises the steps: generating a software research and development demand list based on a received original software demand; performing software design, software development and software testing in sequence based on the software research and development demand list to generate a first software product, and a first testing scheme and a first software material number corresponding to the first software product; generating a change demand list based on the received software change demand; and based on the change demand list, the first software product and the first test scheme, performing software design, software development and software test in sequence to generate a second software product, and a second test scheme and a second software material number corresponding to the second software product. The whole process systematic management of product software from demand receiving to software quit can be realized.

The invention provides an auditing and early warning method and device for quality abnormity in a software testing process, and the method comprises the steps: collecting research and development data of a software research and development full life cycle, and constructing a ternary correlation graph of defects, cases and logs; traversing the ternary correlation graph, and identifying a false start behavior and a logic paradox behavior which violate causal logic; aggregating daily execution data based on a time sliding window, determining a variable coefficient and a peak factor of an execution sequence, and constructing a project execution health degree portrait in combination with the activeness feature; performing text similarity clustering and short-time frequency analysis on defect data under the same responsible name based on the project execution health degree portrait, and identifying a blind test second-off behavior and a homogeneous scalping behavior; and integrating abnormal behaviors of different dimensions, determining a comprehensive risk index, generating a hierarchical risk map, and executing a closed-loop blocking mechanism. According to the invention, unattended operation of the whole process from data acquisition, abnormity mining to reach of a responsible person is realized.

This invention provides a method and system for intelligent process orchestration in software development, relating to the field of software development technology. The method includes: extracting state features through time-series analysis of runtime status data; constructing a directed dependency graph based on task dependency data and extracting topological path features and associating them with state features to obtain process execution features; clustering to identify execution patterns and calculating load assessment values; performing priority labeling to generate candidate sequences; deducing paths to identify conflict points and adjusting trigger timings to obtain resolution sequences; analyzing the parallel and serial constraints of critical paths to filter target sequences and issue instructions.

The invention discloses a software testing method and device, and relates to the financial or other technical field, and the method comprises the steps: obtaining a test case; determining a continuous variable in the plurality of pieces of historical transaction data according to the data type corresponding to the historical transaction data; determining a first graph according to the continuous variable; marking the coordinate points with the maximum abscissa, the minimum abscissa, the maximum ordinate and the minimum ordinate in all the coordinate points as boundary points, and connecting each boundary point with the nearest boundary point to form a closed graph; determining the test cases corresponding to the coordinate points marked as the boundary points as boundary cases; and testing the software by utilizing the boundary case to obtain a test result. According to the method, the problem that extreme cases are neglected can be avoided, the software research and development quality and effect are improved, the effectiveness of test case coverage is effectively improved, the test cases are closer to the actual production, and the production problems caused by unreasonable test case design or execution are reduced.

The application relates to the technical field of blockchain software research and development, and discloses a software technology research and development task progress tracking system based on a blockchain. The system comprises a task feature extraction module, a node mapping module, a task chain combination module, an abnormality tracking module, a progress updating module and a progress management library construction module. The task feature extraction module decomposes task attributes by using a blockchain feature tree to generate a task feature matrix; the node mapping module searches for nodes and performs matching verification according to the task feature matrix to generate a target mapping relationship from the task to the nodes; the task chain combination module extracts a core node set, calculates a matching degree, and generates a task correlation sequence with a time stamp; the abnormality tracking module constructs a research and development state space, monitors deviations, and generates an abnormality propagation path; the progress updating module corrects the mapping relationship to generate a dynamic progress topology; and the progress management library construction module analyzes the topology to generate a structured progress tracking chain, thereby guaranteeing efficient promotion of software research and development tasks.

The present application relates to the technical field of resource scheduling, in particular to a distributed software research and development resource scheduling method and system, in the present application, the multi-dimensional resource demand image of the to-be-scheduled research and development task is acquired; the multi-dimensional resource supply image of each computing node in the cluster is acquired; the multi-dimensional resource demand image of all to-be-scheduled research and development tasks and the multi-dimensional resource supply image of all computing nodes are converged to generate a unified global adaptation situation to accurately perceive the supply and demand state of the cluster resources; then the matching degree evaluation value between each task and node is dynamically calculated as a multi-dimensional dynamic adaptation factor, and the tasks are intelligently sorted and the optimal target node is selected according to the multi-dimensional dynamic adaptation factor, and task scheduling and node mapping are performed; this process effectively solves the problems of uneven resource allocation and fragmentation in the distributed research and development environment, realizes efficient and accurate matching of tasks and resources, and significantly improves the overall resource utilization rate and scheduling throughput of the cluster.

The invention discloses a road test vehicle software upgrading management method and device, electronic equipment and a program product, and relates to the technical field of software upgrading. The method comprises the steps that a drive test problem report is generated and sent to a vehicle software research and development platform, and the drive test problem report is used for recording abnormal problems of a target controller in a drive test vehicle in the drive test process, so that research and development personnel conduct development on the vehicle software research and development platform according to the drive test problem report to obtain test firmware; receiving the test firmware sent by the whole vehicle software research and development platform through an over-the-air downloading module; and controlling the target controller to load the test firmware. The vehicle road test cost can be reduced, and the vehicle research and development efficiency can be improved.

The invention relates to the technical field of resource scheduling, in particular to a distributed software research and development resource scheduling method and system, and the method comprises the steps: obtaining a multi-dimensional resource demand portrait of a research and development task to be scheduled; obtaining a multi-dimensional resource supply portrait of each computing node in the cluster; gathering the multi-dimensional resource demand portraits of all the research and development tasks to be scheduled and the multi-dimensional resource supply portraits of all the computing nodes, and generating a unified global adaptation situation to accurately perceive a cluster resource supply and demand state; further dynamically calculating a matching degree evaluation value between each task and the node as a multi-dimensional dynamic adaptation factor, intelligently sorting the tasks and selecting an optimal target node according to the multi-dimensional dynamic adaptation factor, and performing task scheduling and node mapping; according to the process, the problems of non-uniform resource allocation and fragmentation in a distributed research and development environment are effectively solved, efficient and accurate matching of tasks and resources is realized, and the overall resource utilization rate and scheduling throughput of the cluster are remarkably improved.

The invention discloses a software research and development process management method and system based on deep learning, and the method comprises the steps: taking a development team member as a node through a GNN graph neural network, designing an edge weight based on historical cooperation frequency and knowledge similarity, constructing a space graph, adjusting an expansion rate through expansion causal convolution in a time convolution module, capturing long-period dependence, and carrying out the deep learning. A task coupling constraint item is added into the loss function, and an MST-GCN deep learning prediction model is established; and inputting the aligned feature vector into an MST-GCN deep learning prediction model for prediction, modeling a software research and development process into an MDP Markov decision process based on RL reinforcement learning according to a research and development progress deviation index, and generating a research and development resource allocation strategy. Resources are inclined to key tasks, the resource utilization efficiency is improved, meanwhile, it is guaranteed that software research and development projects are propelled according to plans, and the research and development efficiency is improved.

The application relates to the field of software research and development demand management, in particular to a work hour management method, device, equipment and medium in the research and development and test process. The method comprises the following steps: acquiring user information of a user currently performing a work hour entry operation, and determining a user role of the user based on the user information; determining a work hour statistical dimension and an entry rule corresponding to the work hour entry time based on the user role; and managing input work hour information based on the work hour statistical dimension and the entry rule. Through the fine entry rule and constraint mechanism of the research and development and test work hour, the application realizes efficient management of the research and development and test work, ensures the accuracy of the managed work hour information, ensures the work hour information entry specification based on the entry rule, thereby improving the subsequent work efficiency and quality, avoiding common errors of manual recording, providing reliable data support for efficiency evaluation and team resource management.