38 results about "Software changes" patented technology

The invention discloses a parameter feature-based test case generation method and a related product. In the scheme, a parameter document of target simulation software is obtained; and extracting parameter feature information of the target simulation software based on the parameter document. And on the basis of the parameter feature information, matching a test case template and a code generation rule in a pre-constructed code knowledge base, and generating an initial test case code. And dynamically optimizing the initial test case code according to feedback data generated in a simulation test process to generate a target test case code. According to the technical scheme, the parameter feature information is automatically extracted, the complex dependency relationship between the parameters is accurately analyzed, the test case is automatically generated based on the knowledge base matching template and rule, software changes are adapted in real time in combination with a dynamic optimization mechanism, dynamic and efficient generation of test case codes is achieved, and the test efficiency is improved. The coverage degree and the adaptability of the test case codes are improved, and then the accuracy, the comprehensiveness and the efficiency of the test are improved.

A change management task automation system reduces manual effort required for change audits and streamlines the change management process, enforcing preventative compliance with change management best practices. A plurality of automation modules provides change management task automation functionality for several processes, including software change management, database change management, key report change management, data lake change management, patch change management, and controlled version document repository management automation.

A vehicle software release management system enables receipt of a vehicle software package and an associated test plan to generate a versioned software artifact set. The vehicle software release management system may initiate a workflow to manage testing, certification, and deployment of the software package based on the versioned software artifact set. The vehicle software release management system may facilitate testing of the vehicle software package, including generating test scripts and configuring the testing environment according to test configurations. The vehicle software release management system may facilitate certification of the vehicle software package according to the versioned software artifact set and manage the deployment / rollback to software package destinations.

A data processing system includes a processor and a memory for the processor. The memory stores executable instructions that, when executed by the processor alone or in combination with other processors, cause the data processing system to perform functions of: receive a deployment request to deploy a software change; determine factors corresponding to the deployment request that impact an optimal deployment policy for the software change; query an Artificial Intelligence (AI) trained with a dataset of optimized deployment policies based on corresponding sets of the factors, the query requesting an optimized deployment policy for the software change of the received deployment request based on the determined factors and including a ring rollout policy, ring bake time and deployment time; execute the deployment request using the optimized deployment policy returned by the AI; and update training of the AI based on the determined factors and results of the optimized deployment policy.

Systems, computer program products, and methods are described herein for determining software dependencies and software change impacts on computer processing. The present disclosure is configured to identify at least one computing component within a network environment; identify historical data for the at least one computing component; apply the historical data to a dependency quotient model; generate, by the dependency quotient model, a dependency quotient based on the at least one computing component, the historical data, and a relationship between the at least one computing component and at least one secondary computing component; and generate, based on the dependency quotient, a system architecture interface component, wherein the system architecture interface component comprises data of the at least one computing component and the at least one secondary computing component within the network environment.

A protocol for controlling lighting devices within a network enables bidirectional communication between different connected devices, any of which may function as a server, a device, a broker, or multiple of these roles. Upon initialization of the network, a server device requests a basic configuration data file from each device on the network and, thereafter, requests a more extensive configuration data file identifying capabilities and functionalities of the device which the manufacturer has made discoverable. Each device sends its basic configuration file to the server device upon any of power on, reboot, reset, hardware configuration change, or software change to the respective device. A device on the network can also be a collection of sub-devices each of which may be separately identified, and their respective capabilities evaluated, so that the server can separately control either the device or any of the individual sub-devices.

Systems, computer program products, and methods are described herein for determining software dependencies and software change impacts on computer processing. The present disclosure is configured to identify at least one computing component within a network environment; identify historical data for the at least one computing component; apply the historical data to a dependency quotient model; generate, by the dependency quotient model, a dependency quotient based on the at least one computing component, the historical data, and a relationship between the at least one computing component and at least one secondary computing component; and generate, based on the dependency quotient, a system architecture interface component, wherein the system architecture interface component comprises data of the at least one computing component and the at least one secondary computing component within the network environment.

The invention discloses a software change influence modeling and simulation analysis method based on a large model, which comprises the following steps: S1, acquiring a software source code, constructing a structured cue word comprising a software model element definition, a mapping rule, a model structure template and an analysis example, and inputting the cue word and the source code into the large model, outputting a software model containing a node set and an edge set; s2, analyzing the software model to construct a software network, comparing edge attributes of the software model before and after the change to determine a change point, traversing the software network through depth-first search to execute variable transmission and expression calculation, recording the use condition of a change mark variable, and generating statistical data of the calling times of nodes and edges and the influenced calling times; and S3, substituting the statistical data into a calculation formula of the calling frequency deviation, the influence intensity, the influence range and the network diameter ratio, and calculating to obtain four quantitative evaluation index values. And finally realizing quantitative software change influence analysis.

The embodiment of the invention discloses a test case generation method, which comprises the following steps of: obtaining a basic case which is a case described by adopting a natural language; converting the basic use case into a plurality of standard execution steps based on a step conversion model; transmitting a plurality of standard execution steps to the text understanding model to obtain an execution search condition; searching in a preset knowledge base based on the search execution condition to obtain a knowledge statement; and outputting the plurality of standard execution steps, the execution search conditions and the knowledge statements to a test case generation model to generate an automatic test case. According to the method, the basic use case of the natural language is automatically converted into the standard execution steps through the step conversion model, and manual operation is reduced. According to the method, the text understanding model is used for generating search conditions, knowledge statements are searched in the knowledge base, and then the automatic test case is generated, so that the test efficiency is remarkably improved, the maintenance cost is reduced, the method can better adapt to software changes, and the test flexibility is enhanced.

The present invention discloses a method for training a malware recognition model, a malware recognition method and device, relating to the field of network security technology, and capable of solving the problem that the existing malware recognition model needs to be continuously retrained as the software changes. The method of the present invention mainly includes: obtaining a PE file with a security identifier, where the security identifier includes a malicious identifier and a benign identifier; calculating a transition probability matrix of the PE file according to the call types of APIs in the PE file; performing model training based on the transition probability matrix and the security identifier of the PE file to obtain a malware recognition model. The present invention is mainly applicable to scenarios where malware is recognized by analyzing PE files.

This invention discloses a terminal device management method, apparatus, medium, and device. By setting independent detection function partitions and user function partitions in the target terminal device, and dynamically selecting and mounting the corresponding partition according to the current operating mode, complete isolation between production detection functions and user application functions is achieved. This includes mounting and using only the detection function partition to perform hardware production detection in production mode, and mounting and using only the user function partition to provide a normal user experience in user mode. This solution, through partition isolation and mode-switching mounting, ensures that the two types of functions do not interfere with each other and operate independently. When user-side functions are frequently iterated, modified, or have defects fixed due to diverse needs, only the user function partition is affected, without impacting the fixed detection function partition dedicated to production. This effectively avoids production detection function abnormalities or paralysis caused by user software changes, completely eliminating the risk of production line shutdowns.

Method for testing software changes and / or detecting software errors of an image recognition software, in particular an error detection software, which can be implemented on an industrial machine (210), the method comprising the steps: - Providing (S1) a software code containing the software changes to a version control system (202); - Determining (S2) the software changes in the provided software code by the version control system (202); - Executing (S3) at least part of the software code on a virtual machine through which a test framework is provided and through which the behavior of the industrial machine (210) in response to the software code can be simulated; - Executing (S4) at least part of the software code on a vision engine (208) based on labeled image test data that includes labeled images for testing the software code; and - Providing (S5) a test result based on at least part of the software code executed on the Vision Engine (208).

The application provides a time-aware instant software defect prediction method, device and readable storage medium, wherein the time-aware instant software defect prediction method comprises the following steps: acquiring real change samples; inputting the real change samples into a generation model based on a conditional generative adversarial network to acquire simulated change samples; adjusting the optimization strategy of an instant software defect prediction intelligent agent based on a flexible action-evaluation algorithm according to the time sequence of changes by using the real change samples and the simulated change samples; and predicting defects of software by using the trained instant software defect prediction intelligent agent. The generation model based on the conditional generative adversarial network is used to acquire simulated software changes, and the optimization strategy of the instant software defect prediction intelligent agent is adjusted in a timely manner according to the time sequence of changes by using the real change samples and the simulated change samples after each time step ends, by using the reward result and the current state, so that the concept drift problem is solved.

A computing system may produce standardized compliance reports that may contains change requirements, test and security results, and approvals with validation and attaching the compliance report to change tickets. Compliance Automation application programming interface (API) into a software change workflow interface may enable the compliance reports to be constructed by software engineering teams while they use the software change workflow interface. The system may enable software engineering teams to generate a standardized software change management compliance reports that have a uniformity that helps auditors reviewing process.

Systems and methods for detecting and orchestrating the deployment of software changes. The system can access schema data indicative of a change associated with a first system, wherein executable code associated with the change is executable within a first computing environment. The system can determine a potential impact to a second system. The system can generate one or more computing tasks to notify the second system of the change and an acknowledgment placeholder with a unique identifier associated with the second system. The system can access data indicative of an execution status of the one or more computing tasks. The system can generate an update indicating that the one or more computing tasks have been executed by the second system. The system can transmit to the first system, data acknowledging the potential impact to the second system, and command instructions to deploy the executable code to a second computing environment.

The invention relates to the technical field of software engineering, and discloses a self-adaptive code processing method based on artificial intelligence, and the method comprises the steps: analyzing a source code and a configuration file, building a heterogeneous dependency graph, dividing a node region according to the integrity of an analysis source, and calculating a static edge fingerprint; collecting call stack data when the application program runs to generate a dynamic edge fingerprint, and updating the confidence coefficient of a map node or creating a dynamic dependency edge through fingerprint matching; using the map node as a context-driven model to generate a candidate code, performing logic reachability check on the candidate code, and intercepting invalid calling for the white area node; and creating a virtual node in response to the interception instruction, and generating an atomization operation set containing codes and configuration changes according to a preset priority strategy. According to the method, through a dynamic and static combined atlas calibration and dependency compensation mechanism, the logic deviation generated by the model is effectively corrected, and the integrity and consistency of software change are ensured.

The application provides a method and device for calculating the integrated start-up time of attitude and orbit control, and the method comprises the following steps: obtaining the start-up number and start-up identifier of an engine to determine the start-up mode of the engine; configuring a weighting coefficient according to the start-up mode; and calculating the integrated start-up time according to the weighting coefficient and the start-up mode. The application calculates the integrated start-up time by assigning different weighting parameters to different start-up modes, so that the parameter adjustment is simple and flexible, the method is applicable to various spacecraft platforms in the case of simple design, the telemetry, tracking and control software is no longer tightly bound to the spacecraft platform, the method has good universality, is convenient to apply, reduces unnecessary software changes, and reduces the influence on the safety of the software system.

Systems and methods for a hybrid technique for risk mitigation of platform software migration are provided. In some embodiments, a method for mitigating risk of platform software changes includes one or more of: detecting change using static code analysis; and detecting dynamic / runtime behavioral changes. In some embodiments, early detection of code base migration issues (long before the actual hardware availability) reduces OEM resource requirements for solving software integration issues. Since OEMs have NDAs with platform providers that prohibit OEMs from sharing material with third parties, some embodiments of the current disclosure allow solving platform code base migration issues early during software integration in the OEM environment without having access to a vast majority of the code base; and / or without the luxury of actually being able to see / touch the problem.

This invention belongs to the field of unmanned aerial vehicle (UAV) control technology, and relates to a control system and method for a ground map in a UAV command and control system. It includes hardware and software components. The hardware component includes a computer, a display, a switch, a joystick, and a power supply; the software component includes map software and control software. By designing a specific sequence of joystick operations, a UAV ground map control method is invented that allows the operator to control the ground map without taking their hands off the joystick, solving the problem of inconvenience caused by changes in posture when the operator must manually control the map. This invention has good economic efficiency, optimizing existing UAV map operation methods only through software modifications. Its design concept is simple, the changes are minimal, and it can meet the optimization and improvement needs of existing mature products.

The invention relates to a control device (10) of a machine (30) with an evaluation unit (14) for executing control software. The control device (10) includes a satellite-based time module (12) for evaluating time information from satellite signals (S). The evaluation unit (14) comprises a timestamp system configured to generate a timestamp from the time information when the control software is accessed and / or modified. The evaluation unit (14) is configured to generate a log file (16) containing the timestamp and associated access information and / or the type of modification, enabling the temporal tracking of software changes and / or software accesses. The invention further relates to a method.

A data processing system includes a processor, and a memory storing executable instructions which, when executed by the processor, causes the processor, alone or in combination with other processors, to implement: a united data platform for extracting data from a software release pipeline for specific software; a software change insights module to generate insights into changes to the specific software on a per build basis using the extracted data; a deployment insights module to generate deployment insights using the extracted data; and a dashboard to organize the generated insights and intelligently route deployment of a build to upgrade the specific software based on the generated insights to expedite deployment.

The invention discloses a software change processing method and device, computer equipment and a storage medium, belongs to the technical field of software engineering, and is applied to a software delivery scene. According to the method, the software change event is continuously monitored, fine analysis and structured processing on the change log are combined, and under the support of the unified software asset dependency relationship graph, accurate topology analysis on the change influence range is realized, so that upstream and downstream software assets involved in the change can be accurately identified, and the change accuracy is improved. And automatically matching a most suitable change processing strategy based on the influence range, and driving a corresponding change processing executor to carry out targeted processing on the change content. By means of the technical means, on-demand and granularity-based processing of software change is achieved, unnecessary construction and deployment operations are reduced, the overall execution time of software change processing is shortened, consumption of computing resources and network resources is reduced, and therefore the efficiency, stability and safety of the software delivery process are overall improved.

The embodiment of the invention belongs to the equipment upgrading technology, and provides a display device, an adapter and an equipment upgrading method.The equipment upgrading method comprises the steps that under the condition that an upgrading file is recognized, according to the upgrading priority of the upgrading file, the sending sequence of the upgrading file is determined, the sending sequence is used for representing a dependency relationship between software change points corresponding to different upgrading files; for at least part of two adjacent upgrading files in the sending sequence, taking the previous upgrading file in the two adjacent upgrading files as a first upgrading file, taking the later upgrading file as a second upgrading file, and sending the first upgrading file to an adapter; and sending a second upgrading file to the adapter under the condition of determining that the upgrading result corresponding to the first upgrading file is successful. According to the method, a proper upgrading mechanism can be provided, and it is ensured that multi-device upgrading can be achieved more reliably and more efficiently.

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.

To conduct realistic performance analysis for planned software changes, code changes are obtained for an application, including a change to a data source. Then a test version of the application and test information are provided to a separate production system running a current version of the application. The test version includes the code changes and the test information includes a request to test the data source. Later, test results are received from the production system. The test results compare performance of the data source in the current version of the software application to performance of the data source in the test version of the software application. The test results are obtained by supervising the data source, recording how the data source was accessed during operation of the production system, and testing performance in test version in a same manner as it was accessed during the operation.

This application discloses a sensor software change method. The method is applied to an intelligent driving device, and includes: after a sensor is connected to the intelligent driving device, obtaining a first software version number of the sensor; then, obtaining a second software version number of a first software package corresponding to the sensor, where the first software package is stored in the intelligent driving device in advance; and finally, if the first software version number is inconsistent with the second software version number, sending the first software package to the sensor, where the first software package is used by the sensor to change software. In this way, the software package stored in advance is used, to quickly change the software of the sensor without a network connection.

Systems and methods for detecting and orchestrating the deployment of software changes. The system can access schema data indicative of a change associated with a first system, wherein executable code associated with the change is executable within a first computing environment. The system can determine a potential impact to a second system. The system can generate one or more computing tasks to notify the second system of the change and an acknowledgment placeholder with a unique identifier associated with the second system. The system can access data indicative of an execution status of the one or more computing tasks. The system can generate an update indicating that the one or more computing tasks have been executed by the second system. The system can transmit to the first system, data acknowledging the potential impact to the second system, and command instructions to deploy the executable code to a second computing environment.

The invention relates to a software change information transmission method and device, a storage medium and a program product, and relates to the technical field of automobile software management. The method comprises the following steps: creating a change order for software of a vehicle and a change order number corresponding to the change order through a software management system; acquiring software change information according to the change order number through the software management system, wherein the software change information comprises at least one of change functional information and change attribute information of the software; transmitting the software change information to standard part information of parts corresponding to the software in a release change system through the software management system; approving the standard part information inheriting the software change information through a release change system; under the condition that the standard part information passes the approval, sending a software data publishing instruction to a software management system through a publishing change system; and transmitting the software change information to the trial assembly list and the switching list through the software management system according to a specified information transmission strategy.

The invention provides a software changing method, a changing process is formed by combining a plurality of preset stages, each preset stage is formed by combining a plurality of preset steps, and the method comprises the following steps: acquiring configuration parameters and a changing state of a target service; determining a plurality of target stages from a plurality of preset stages according to the configuration parameters and the change states, and determining an execution sequence of the plurality of target stages; for each target stage, determining a plurality of target steps included in the target stage from a plurality of preset steps of the target stage according to the configuration parameters, and determining an execution sequence of the plurality of target steps; a target change process formed by combining the multiple target stages and the multiple target steps is used for achieving software change. Therefore, the feasibility and the accuracy of constructing the change process can be improved, so that the efficiency and the safety of implementing software change by the system are improved.

The present disclosure relates to the technical field of software testing, in particular to a test case screening model training method, a test case screening method and equipment. The method comprises: obtaining test case data and software change data, wherein the software change data is data changed in a software defect repair process; inputting the test case data and the software change data into a test case screening model, predicting a matching degree between the test case data and the software change data, and outputting a predicted matching degree, wherein the predicted matching degree is used to represent an association degree between the test case data and the software change data; calculating a target loss function according to the predicted matching degree; and adjusting model parameters of the test case screening model according to the target loss function to obtain a target test case screening model. The method can efficiently and accurately screen out test cases required for regression testing.