170 results about "Evaluation testing" patented technology

The present invention provides a fuzz testing system and method based on a virtual computer model. Traditional fuzz testing approaches primarily modify external inputs to detect security vulnerabilities, making it difficult to monitor internal state changes in real-time. This invention constructs a test environment using a virtual computer model and incorporates automatic assertion generation and detection functions, enabling precise analysis of both internal and external signals of the system. After executing fuzz testing, assertion data is analyzed to assess test coverage and identify untested code regions, allowing for an optimized testing strategy. This improves the detection rate of security vulnerabilities, enhances test automation and reliability, and can be applied in various fields such as networks, automotive ECUs, IoT, finance, aerospace, and semiconductors.

The invention relates to the technical field of chip performance evaluation and test, in particular to a chip performance evaluation and fault diagnosis optimization test method, which comprises the following steps of: generating a test vector library with an optimal coverage rate on the basis of functional module distribution and circuit structure characteristics of chip design; in a chip operation environment, sequentially inputting test conditions by using the test vector library, and simultaneously collecting dynamic performance parameters in real time; based on the dynamic performance data set, establishing a multi-dimensional performance characteristic model comprising performance fluctuation characteristics, a critical state threshold value and hidden fault characteristics; based on a multi-dimensional performance characteristic model, in combination with circuit structure characteristics, a specific fault function module is positioned by reversely tracing the relevance between chip function modules. According to the method, innovative technical support is provided for chip design optimization and operation stability improvement, the fault diagnosis time is remarkably shortened, and the diagnosis precision and reliability are improved.

The invention discloses an energy storage power station grid-connected test method and system and a readable storage medium, and the method comprises the steps: constructing an energy storage power station power grid joint simulation model, and pre-configuring a multi-dimensional test scene in the energy storage power station power grid joint simulation model; carrying out a multi-stage test by using a pre-configured multi-dimensional test scene; based on real-time data, multi-stage test parameter thresholds are dynamically adjusted, and a test result is evaluated through an intelligent algorithm. The performance and the safety of the energy storage power station after grid connection can be comprehensively evaluated by constructing the energy storage power station power grid joint simulation model, pre-configuring the multi-dimensional test scene, carrying out the multi-stage test and evaluating the test result, and it is ensured that the energy storage power station can be safely and reliably connected to the power grid.

Systems and methods for error mitigation in a software pipeline. In some aspects, the system receives a request for evaluating a pipeline at a recurrent interval of time. The request comprises a first version of software, a second version of software, evaluation tests to execute on the second version of the software at intermittent intervals, and the recurrent interval of time. The system, in response to determining the recurrent interval of time elapsed, executes the evaluation tests on the second version of the software. The system determines that the output of the evaluation tests does not match one or more target values. The system terminates deployment of the second version of the software. The system generates instructions to replace the second version of the software with the first version of the software and transmits a notification to a remote device.

The present invention relates to equipment that can realistically reproduce various types of airflow occurring in environments such as an urban area with tall buildings or regions with mountains and valleys, thereby enabling verification of the flight safety of a multicopter-type drone. The present invention comprises: a housing that provides a tunnel-shaped test space in which a plurality of blowers, together with controllers, are installed along the longitudinal direction of both sidewalls of the interior, the ceiling, and the floor, to generate airflows such as crosswinds, updrafts, downdrafts, and vortices; and an integrated control unit that selectively or simultaneously controls some or all of the plurality of controllers installed in the housing so as to form airflows in pattern corresponding to user input or settings.

A computer-implemented method including quantifying pre-defined technical porting goal of a porting project into a technical value model, receiving selected decisions regarding the target system and porting tasks and current version of the porting system, executing traceable porting steps based on the selected decisions, porting tasks and current version of the porting system and creating software artefacts of the target system, evaluating software artefacts created or converted by each of the executed porting steps and / or evaluating test results by applying and / or simulating each ported software artifact, outputting references to the versions of created and / or converted and evaluated software artifacts into a porting log, and training the creation and evaluation component of the porting system with data of the porting log based on the decisions and the outcome of the porting project using porting mechanism to reach the pre-defined goal for the porting system.

The invention relates to the technical field of software testing, and discloses an agent-based multi-dimensional test sample automatic generation method and system.The agent-based multi-dimensional test sample automatic generation method comprises the steps that code changes are captured, interface definitions are extracted, and multi-source data are fused for consistency verification; constructing a multi-dimensional dependency graph and analyzing the change influence to obtain an associated interface list; generating a multi-dimensional test scene; performing parameter traceability and consistency derivation, and initializing test data and environment to obtain a complete test data set; generating a use case code, and performing hierarchical optimization and executable verification; test arrangement optimization and automatic execution are carried out, and faults are monitored and diagnosed in real time; carrying out multi-dimensional analysis and defect identification, dynamically evaluating the value of a test case and optimizing a test strategy to obtain a comprehensive test report; according to the invention, full-process automation of test case generation is realized, the test efficiency and quality are improved, and the test maintenance cost is reduced.

The invention relates to the technical field of computer storage, and discloses a test strategy for improving the read-write performance stability of an SSD (Solid State Disk), and the strategy comprises the following steps: obtaining the current available capacity of an SLC cache of the SSD; based on the obtained current available capacity, setting a total data volume used by a performance stability test, so that the total data volume is smaller than the current available capacity; and executing the performance stability test on the solid state disk by adopting the set total data volume so as to obtain performance data capable of reflecting the hardware stability of the solid state disk. The real-time available capacity of the SLC cache is obtained through the standard interface before the test, and the test data volume is set by taking the real-time available capacity as the rigid basis. By means of the method, precise stripping and evaluation of the performance stability of the solid state disk hardware are achieved, and the test result can truly reflect performance fluctuation caused by hardware components such as a master control or flash memory particles.

The invention discloses a production command agent test and evaluation method, device and equipment and a medium, and belongs to the technical field of agents, and the method comprises the steps: combining any evaluation dimension in an evaluation dimension set with any test scene type in a test scene type set, and obtaining an evaluation factor combination set; performing parameter matching in an agent configuration parameter pool according to the evaluation dimension and the test scene type corresponding to the evaluation factor combination, and generating a plurality of agent configuration parameter groups corresponding to the evaluation factor combination; the production command agents corresponding to the agent configuration parameter sets are evaluated and tested, and evaluation index values corresponding to the agent configuration parameter sets are obtained; and according to the evaluation factor combination set, the agent configuration parameter group and the evaluation index value, generating total evaluation test information, and according to the total test information, testing and evaluating the to-be-evaluated production command agent. Therefore, by implementing the method, the evaluation reliability of the production command agent can be improved.

The invention discloses a multi-point explosion hazard effect evaluation test method and a multi-point explosion hazard effect evaluation test system. The method comprises the following steps: uniformly distributing a plurality of explosion sources with prefabricated fragments on the same circumference and synchronously detonating; determining abdominal line distribution based on a shock wave superposition principle, and dividing a reference ring, an inner ring and an outer ring by taking an explosion central point O as a circle center according to a predicted overpressure peak value; and cake-shaped and penholder-type free field pressure sensors, impulse targets, simulation dummies, pine targets and speed measurement targets are systematically arranged on each ring layer along the abdominal line direction. By synchronously collecting multi-parameter data such as shock wave pressure-time history, fragment speed, target deformation, human body reflection overpressure and the like, quantitative analysis of shock wave superposition and attenuation characteristics, fragment power field distribution, human body damage risk and explosion impulse aftereffect is realized. The problem that the multipoint explosion hazard effect lacks a standardized test means is solved, and data support is provided for protection equipment research and development and safety standard formulation.

The invention discloses a method and a system for evaluating a test coverage rate based on a Java call link, and relates to the field of software testing. The method comprises the following steps: identifying a difference function according to a first comparison result, and constructing a call chain tree structure by taking the difference function as a root node based on a code call relation graph; analyzing the difference function to obtain a direct code change line of the difference function, based on a call chain tree structure, identifying a related code line on a call chain where each call point is located as a call point code line, and summarizing the direct code change line and the call point code line; and analyzing the code coverage rate data to obtain an actually covered code line, comparing the to-be-tested code line with the actually covered code line, determining coverage rate index data based on a call chain according to a second comparison result, and determining a test coverage rate evaluation result according to the coverage rate index data. The test coverage rate can be evaluated more comprehensively and accurately.

The invention discloses an unsupervised road obstacle detection method based on reverse distillation, and the method comprises the steps: 1), collecting road data through a road monitoring camera, carrying out the division of a training set and a test set, enabling an image without an obstacle on a road to be a normal sample, enabling an image with an obstacle to be an abnormal sample, carrying out the pixel-level marking, and carrying out the detection of an abnormal image; the training set only contains normal samples, and the test set contains normal samples and abnormal samples; 2) sending the training set into an improved reverse distillation network for training; and 3) inputting the test set into the trained reverse distillation network, calculating the cosine similarity between the multi-scale features of the student network and the teacher network as an abnormal score to evaluate test pictures in the test set, taking the pictures with the abnormal scores greater than a threshold value as abnormal samples, and taking the pictures with the abnormal scores smaller than the threshold value as normal samples. According to the method, the problems of insufficient abnormal samples, characteristic domain deviation and excessive generalization of the student network in road obstacle detection are solved.

Some embodiments comprise a vehicle for conducting non-destructive evaluation (NDE) tests of storage tanks, especially storage tank bottoms. Vehicles may be autonomous, semi-autonomous, or manually driven ROVs. At least one NDE instrument probe is onboard as well as at least one high and / or low-pressure fluid nozzle which is either repositionable or fixed on an area in front of the NDE probe. Thus, as the vehicle advances, the nozzle cleans a path in front of the probe to improve the probe's coupling to the tank bottom. Repositionable nozzles may be motorized and under computer control. The nozzle receives fluid flow from a pump configured in recirculation mode. Thus, the pump draws in tank fluid and outputs a high or low-pressure high-volume stream to the nozzle, which directs the flow.

The present application provides an artificial intelligence-based simulation test method, apparatus, electronic device, and storage medium. The artificial intelligence-based simulation test method includes: collecting historical test requirements and historical test data, and encoding the historical test requirements to obtain encoded data; classifying the historical test requirements to obtain the category of each historical test requirement, and dividing the encoded data and the historical test data into multiple training data sets according to the category; training multiple test data generation models; querying the encoded data to be evaluated and the communication protocol; classifying the test requirements to be evaluated to obtain the corresponding category of the test requirements to be evaluated, and selecting a target model from the test data generation models; and inputting the encoded data to be evaluated into the target model multiple times to obtain multiple batches of test data for multiple simulation tests. This method can automatically generate multiple batches of test data for different test requirements, thereby improving the accuracy of data testing.

We provide the system. [Solution] Means for collecting user operation data, Means for acquiring video and audio data, A means for analyzing the acquired data using a multimodal generation AI model and automatically generating suggestions for improving the user experience, A means for automatically generating different user interfaces based on multiple improvement proposals that have been generated, A means for conducting evaluation tests targeting users using the aforementioned different user interfaces and analyzing the results, A system that includes this.

The invention discloses a software testing method of a credential and credential system and electronic equipment. The method comprises the following steps: acquiring feature information of a to-be-tested credential system; according to the feature information of the credential and credential system and a preset hit standard of each standard test domain, determining a target standard test domain matched with the credential and credential system in each standard test domain; based on each target standard test domain, generating a test model corresponding to the credential system; and testing the credential system based on the test model. According to the method and the device, missing or redundancy of the test domain is avoided, the test quality is improved, quantitative evaluation of the test quality can be realized, and the test quality is effectively guaranteed.

The embodiment of the invention discloses a script quality evaluation method and device, electronic equipment and a storage medium, and the method comprises the steps: testing a target software function containing positioning instrumentation by running a to-be-evaluated test script, and outputting an instrumentation log through the positioning instrumentation; determining a multi-dimensional quality index of the to-be-evaluated test script based on the instrumentation log; and performing quality evaluation on the to-be-evaluated test script based on the multi-dimensional quality index. According to the embodiment of the invention, the evaluation accuracy when the test script is evaluated can be ensured, and the evaluation efficiency is improved.

Methods, apparatus, and computer readable storage medium evaluating codec performance. One method includes obtaining m anchor data points each generated based on a respective anchor encoded video bitstream; obtaining n test data points each generated based on a respective encoded test video bitstream, n being an integer; fitting the m anchor data points with an anchor curve, the anchor curve being based on an anchor polynomial, wherein the anchor polynomial is monotonic in an x-axis range; fitting the n test data points with a test curve, the anchor curve being based on a test polynomial, wherein the test polynomial is monotonic in the x-axis range; and evaluating the test codec performance based on the anchor curve and the test curve, to obtain an evaluation result.

The invention provides a new energy cloud platform architecture method based on agile driving, and the method comprises the following steps: (1), extracting the characteristics and demand analysis of a new energy cloud platform according to a scene; (2) performing new energy cloud platform function category division to realize micro-division: performing category division on basic functions of the new energy cloud platform by adopting a domain-driven design (DDD) thought based on an analysis result of the step (1); step (3), micro-function module evaluation and test: aiming at each micro-function module divided in the step (2), constructing a special evaluation and test system; (4) user feedback and iterative optimization of agile driving; and (5) architecture integration and deployment. According to the invention, fine micro-division is carried out on basic functions of the new energy cloud platform, dynamic optimization based on user feedback is realized in combination with an agile driving mechanism, the availability and operation efficiency of the platform are improved, and scheduling optimization, monitoring management and full-link efficiency of renewable energy sources are improved.

The invention discloses a performance test method and device for an Ethernet switch and a medium, and belongs to the field of Ethernet switch testing, and the method comprises the steps: constructing a dynamic random data generation model of which the test process fluctuates along with a time period; generating a test signal of which the test data volume fluctuates along with the time period; constructing a state control model of the Ethernet switch service based on a queuing theory, and adjusting the rate of injecting the test data packet into the Ethernet switch in real time through the state control model; screening an output test data packet which is most matched with each test data packet, and calculating the performance coefficient of the Ethernet switch tested by each test data packet; and calculating a performance coefficient average value of the Ethernet switch, setting a performance coefficient threshold value of the Ethernet switch, and evaluating the tested performance of the Ethernet switch. According to the method, the consistency of multi-node test data can be realized, the concurrent test of ten thousand-level ports is supported, and effective decision support is provided for configuration optimization of the Ethernet switch.

The present invention relates to the technical field of corrosion resistance testing of composite busbars, and discloses a corrosion resistance evaluation testing device and method for copper-clad aluminum composite busbars, including a control machine and a container frame fixed above the control machine. The inside of the container frame is filled with a corrosion medium for soaking the copper-clad aluminum busbars, and a partition component is arranged inside the container frame for partitioning the inside of the container frame into at least two cavities. For this corrosion resistance evaluation testing device for copper-clad aluminum composite busbars, the inside of the container frame is partitioned into at least two cavities by the partition component, so as to facilitate the corrosion resistance evaluation testing work of the copper-clad aluminum composite busbars at multiple temperatures simultaneously. The copper-clad aluminum composite busbars are pushed by a pushing component, so that the positions of the copper-clad aluminum composite busbars are adjusted inside the multiple cavities partitioned by the partition component, forming an incremental temperature difference corrosion resistance detection work, and different corrosion media are set in different regions, that is, different corrosion resistance evaluation works are formed.

The invention discloses a pet food palatability evaluation test control method, system and device, and relates to the technical field of data processing, and the method comprises the steps: after a pet food intake induction signal is detected, binding collected pet identity information and food intake data with a corresponding food intake event, and obtaining a pet food intake core data set; associating the pet ingestion core data set with the correspondingly input auxiliary archive data to obtain an associated data set corresponding to the tested food; classifying and sorting the associated data set, and generating a classified induction data set according to pet basic information and food consumption statistical dimension division; and according to a palatability analysis rule, analyzing, classifying and summarizing the data set from multiple data dimensions, and generating a palatability test result of the tested food. By collecting the core data, associating the auxiliary data and analyzing and generating the test result according to the rule, the problem of low accuracy of the food palatability test result is solved, and the palatability test accuracy and standardization effect are improved.

The invention provides a network protocol response behavior consistency test method based on a differential fuzz test. The method comprises the following steps: preparing an initial test case for a fuzzer instance, and performing a first round of fuzz test; the fuzzer instance adds the found valuable test case into a shared seed pool, and obtains the test case from the shared seed pool; mapping responses obtained after the protocol messages stimulate the servers with the same protocol and different implementations into a reduction response set through a reduction function, comparing according to mapping results, and determining a processing strategy of the responses; and evaluating the test effect. Therefore, reasons causing response differences are analyzed, and vulnerabilities in protocol implementation are more efficiently mined.

The invention provides a comprehensive testing method and device for an agricultural machine microcontroller and a storage medium, and relates to the technical field of microcontroller testing. The method comprises the steps of firstly building a bidirectional data transmission link with a microcontroller to be tested, then converting a user test demand into a corresponding test instruction, issuing the test instruction, collecting original test data after a test is executed, carrying out standardization processing on the original data, evaluating a test state, if a result is abnormal, creating a correction response flow according to an abnormal type, and if the result is abnormal, completing the test. Re-establishing a link or evaluating to obtain a new result; according to the invention, automation and integration of the whole testing process are realized through a closed-loop process, a splitting link is not needed, manual equipment switching is not needed, comprehensive testing is completed in a one-stop manner, operation is greatly simplified, and efficiency is improved; the abnormality correction mechanism can optimize the process automatically, avoids test interruption, guarantees test continuity and reliability, and provides an efficient and stable solution for factory detection and regular maintenance of the agricultural machine microcontroller.

The invention discloses a synchronous heating and voltage tolerance test method for a hybrid cable transition joint, and relates to the technical field of high-voltage submarine cables, and the method comprises the following steps: S1, test system initialization and sample installation: test object preparation, sensor deployment and equipment connection; s2, double-cable differential heating control: XLPE section heating, oil filling section heating and temperature synchronous judgment; s3, coupling voltage loading and cycle testing: initial voltage application, a heating stage, a cooling stage, cycle control, failure diagnosis and automatic protection; s4, evaluation test after thermal cycle: for a cable system with Um greater than or equal to 300kV, the operation sequence is operation impulse test-lightning impulse test-power frequency voltage test; and S5, report generation: an output report comprises original monitoring data, a key parameter comparison table and failure mode analysis. The problem that the electrical performance of two cables under different temperature working conditions cannot be verified at the same time according to the existing standard is solved, and the reliability of the transition joint in long-term operation is ensured.

The invention relates to an optimal test position searching system and method in an OTA camera obscura, and belongs to the technical field of position searching, the system comprises the OTA camera obscura, a real-time monitoring module, a self-adaptive scheduling algorithm module, a test control module, a data analysis and evaluation module and a result output module, the OTA camera obscura is used for providing a non-interference test environment; the real-time monitoring module is used for acquiring MCS parameters of the equipment to be tested; the adaptive scheduling algorithm module, the test control module and the data analysis and evaluation module are used for evaluating the performance of a test position according to the MCS parameters, determining whether an optimal test position is reached or not, if the optimal test position is not reached, determining a next test position according to an adaptive scheduling algorithm, and controlling the test probe or the antenna array to move to the position; whether the optimal test position is found or not is judged, and if the optimal test position is not found, searching continues; and if the optimal test position is found, the result output module outputs the optimal test position and the test result.

Provided herein is a system for dynamic assessment of a prediction of late onset sepsis, LOS, in a test neonatal subject, a test subject, the system comprising a processor configured to perform steps of a method comprising: - receiving a parameter time series (120,a to i) of a measurement of at least one parameter, a test parameter, measured of the test subject after birth of the test subject during a test session; - determining a prediction time series (130a to g) of sequential prediction scores for LOS, TLOSPS(ptd), of the test subject, wherein - each TLOSPS(ptd) within the prediction time series is determined at a determination time point, ptd; - each TLOSPS(ptd) (e.g. 130,a or 130,e) is determined from the at least one parameter time series (e.g. 120,a or 120,a) limited to a parameter time window, PTW, - the PTW spans up to the ptd, and extends back in time according to a size of the PTW; - dynamically evaluating the TLOSPS(ptd), by comparing the TLOSPS(ptd) against a dynamically-adjusted threshold score, THS(ptd).

The invention discloses a device and method for detecting the performance of a tool bit of a thinning grinding wheel, and the device comprises a pedestal, one end of the pedestal is provided with a control assembly used for preliminarily determining the position and a test assembly used for accurately determining the position, and the control assembly is connected with the test assembly through an adapter. The other end of the base is provided with an adjusting assembly used for adjusting the position of a tested grinding wheel, and the specific method comprises the steps that S1, the grinding wheel to be tested is installed on the positioning disc, the grinding wheel comprises a grinding wheel tool bit and a grinding wheel base body, and a testing program is started in an upper computer operation interface; s2, tool bit hardness index evaluation testing; s3, evaluating and testing compressive strength indexes of the tool bit; according to the invention, full-automatic detection and evaluation of a small-size tool bit sample of a full-size grinding wheel for double indexes of hardness and strength are realized, and the method can be applied to rapid verification of the feasibility and optimization effect of a new formula of the grinding wheel and is used as a prior test means of stability and reliability indexes of a thinned grinding wheel product.

We provide the system. [Solution] Equipped with an information processing device for automating educational evaluation, A means for selecting multiple educational issues based on one or more conditions and automatically generating an educational assessment test, A means of performing automatic scoring by comparing the received answer data with the model answer, A system including means for generating and presenting scoring results and feedback.

The embodiment of the invention provides a fuzz test seed sharing method and device and a medium, and belongs to the technical field of data processing, and the method specifically comprises the steps that a template meeting the specific format requirement of a fuzzer is written, and part of test cases are selected from existing test cases; operating the fuzzifier instance; step 3, generating a test case according to the template, adding the initial seeds into a seed queue, and selecting one seed from the initial seeds for variation to obtain the test case; 4, inputting the test case into the target program; step 5, if the current test case covers a new path, a new branch or triggers a new crash, adding the current test case to the shared seed pool; step 6, the generative fuzzer instance generates a template according to the obtained test case, and the variant fuzzer instance obtains the test case from the shared seed pool as a new seed; step 7, circulating the step 3 to the step 6; and evaluating the test effect. Through the scheme of the invention, the test efficiency and the program coverage rate are improved.