10813 results about "Test equipment" patented technology

The invention provides an anomaly detection and maintenance decision optimization method and system for automatic test equipment, and relates to the technical field of automation, and the method comprises the steps: deploying an edge calculation unit and a multi-level sensor network to collect equipment data, carrying out the fault diagnosis through a deep network model, and constructing a maintenance decision model in combination with equipment operation data. The model is input into a quantum enhancement dual-network system to calculate a reward value, and is used for training a maintenance strategy network under a federal reinforcement learning framework. And generating a maintenance resource configuration scheme through a quantum evolutionary algorithm, and generating a maintenance scheme through optimization of the multi-criterion evaluation model and the self-adaptive multi-target differential evolutionary algorithm. According to the scheme, a high-fidelity digital twin model and a multi-task deep transfer learning network are input for verification and updating, updated data are transmitted to a field control system through an industrial Internet of Things platform, and the updated data are recorded by using a block chain technology for updating a deep network model.

The invention relates to the technical field of probe testing, and discloses a probe testing device and method, and the method comprises the steps: carrying out the synchronous collection of the electric signal response characteristics of a plurality of chip testing probes in a chip contact process, analyzing the signal transmission interference relation between the probes, and obtaining a multi-probe signal coupling feature pattern; identifying a target signal transmission channel to obtain a first test probe configuration scheme; performing test signal input and response acquisition on the chip to obtain electrical characteristic time-frequency data of the chip; and performing multi-probe collaborative analysis and feature extraction on the time-frequency data of the electrical characteristics of the chip to obtain abnormal indication information of the electrical performance of the chip, and adjusting test parameters and contact positions of a plurality of chip test probes to obtain a configuration scheme of a second test probe. Therefore, the test system can intelligently adjust the subsequent test strategy according to the preliminary test result, and the intelligence and automation of the test process are realized.

The invention relates to the technical field of intelligent control of test equipment, and discloses a semiconductor device test equipment control system and method based on industrial data processing, and the method comprises the steps: collecting multi-source heterogeneous data of semiconductor device test equipment, and carrying out the preprocessing; constructing a structural causal model, and performing root cause identification through anti-fact reasoning by using the structural causal model; constructing an abnormal test fingerprint and a knowledge base; generating an intervention scheme, evaluating the generated intervention scheme, and selecting an optimal intervention scheme; processing the detected anomaly, and generating and implementing a preventive control strategy based on historical anomaly data and a causal analysis result; according to the invention, by introducing innovative technologies such as causal inference, anti-factual inference, abnormal test fingerprint identification and Monte Carlo tree search, intelligent control of semiconductor test equipment is realized.

The invention discloses an integrated circuit chip test system based on an AI algorithm, and relates to the technical field of integrated circuit chip testing, the integrated circuit chip test system comprises a chip test platform, the chip test platform is in communication connection with the following modules: a data acquisition module, which is used for collecting historical test data from existing integrated circuit chip test equipment, and sending the collected historical test data to the chip test platform; carrying out preprocessing and integration on the chip test data set to obtain a chip test data set; and the model training optimization module is used for analyzing the chip test data set, learning the relationship between the chip performance and the test vector, and training a test vector AI optimization model. According to the method, by analyzing historical test data and automatically generating the optimized test vector, a redundant item-by-item test process in a traditional test is avoided, key test nodes are accurately positioned through the test vector AI optimization model, and unnecessary test steps are reduced, so that the test time is remarkably shortened, and the test efficiency is improved.

The invention discloses a multi-parameter measurement system and method for a power frequency non-partial discharge test transformer, and relates to the technical field of state monitoring of high-voltage test equipment and power equipment, and the system comprises a synchronous trigger unit which is connected to a power frequency voltage signal collection end and is used for detecting a zero crossing point of a power frequency voltage signal and generating a synchronous trigger signal, a power frequency period is divided into a plurality of sub-windows with equal phase angles. According to the multi-parameter measurement system and method for the power frequency non-partial discharge test transformer, the problem of phase mismatch of a power frequency signal and a high-frequency partial discharge signal in traditional multi-parameter measurement is effectively solved through a power frequency phase locked synchronous trigger mechanism and a dynamic noise suppression technology; and the positioning precision of the partial discharge source and the insulation defect diagnosis reliability are improved. The nanosecond-level time sequence error control is realized, and the power frequency coupling interference is inhibited while the details of the high-frequency pulse are kept by combining a phase correlation dynamic filtering strategy, so that the signal-to-noise ratio of the weak discharge signal is improved.

The invention provides a consistency test method and device for single-to-wire communication, and the method comprises the steps: receiving a communication signal transmitted by a tested device, extracting a time domain feature, a frequency domain feature and a modulation feature of the communication signal, generating a protocol feature value, carrying out the dimension reduction processing, and generating a protocol feature vector; performing matching degree analysis on the protocol feature vector and a predefined mapping dictionary, and determining a target communication protocol type with the highest matching degree; based on the determined communication protocol, dynamically generating a consistency test flow through a pre-trained neural network model; configuring a signal generator to inject an excitation signal according to the test flow, and synchronously acquiring various parameters of the tested equipment; based on the real-time feedback data, dynamically adjusting the signal amplitude, frequency and judgment threshold through a pre-trained neural network model; and summarizing feedback data of multiple rounds of tests, and generating a test report of the consistency index. According to the method, the protocol of the tested equipment can be automatically identified, the test flow is generated for the protocol, and the test efficiency is effectively improved.

The invention relates to the technical field of data processing, and discloses an operation state monitoring method and system for vibration test equipment. The method comprises the following steps: generating a multi-dimensional physical characteristic data stream through vibration waveform calibration according to operation parameters collected by each sensor of vibration test equipment; performing frequency response analysis on the data stream to obtain physical response characteristics; based on this, a test calibration reference is established; outputting test state parameters according to the reference analysis real-time response characteristics; and performing performance attenuation analysis according to the parameters, and generating an equipment quality evaluation report. According to the comprehensive analysis method based on the multi-dimensional physical characteristic data flow, real-time monitoring, multi-parameter joint evaluation and performance attenuation trend analysis of the dynamic characteristics of the equipment are achieved, so that the accuracy, comprehensiveness and predictability of state monitoring of the vibration test equipment are improved, and the reliability and consistency of test results are ensured.

The invention discloses a rapid calibration method and system for automatic testing equipment of a vehicle machine, and relates to the technical field of automatic calibration, and the method comprises the steps: inputting a preset standard calibration signal to the testing equipment, and collecting the response data of each testing channel of the equipment as calibration reference data; comparing the calibration reference data with a built-in standard reference value of the equipment, and calculating deviation data of each test channel; based on the deviation data, calibration parameters of each channel are calculated, and the calibration parameters comprise a gain compensation coefficient, a frequency compensation coefficient and a phase compensation coefficient; the calibration parameters are loaded to the corresponding channels of the test equipment, a preset standard calibration signal is input for verification test, and when errors of the channels are smaller than a preset residual error threshold value, calibration is completed, and the calibration parameters are stored. By establishing the gain-frequency-phase joint compensation model and combining the parallelization verification and increment optimization algorithm, the high-precision rapid calibration of the automatic test equipment of the vehicle machine is realized.

The invention relates to the field of electric power material quality detection, and discloses a test scheduling system for detection task collaboration and data acquisition, which comprises a task construction module, a state collaboration module, a graph reasoning module and a data acquisition module. And the task construction module generates a standardized test task packet including a task identifier, a project code, a target equipment identifier, an environment requirement parameter and a two-dimensional code according to the test rule base and the resource configuration state, and pushes the standardized test task packet to corresponding test equipment through a Web Service interface. And the state collaboration module receives an equipment state feedback event, constructs an event time sequence flow graph based on the task identifier and generates a task state sequence with a timestamp. The atlas reasoning module takes the state sequence and the environmental parameters as input, constructs a test atlas structure and generates an optimization execution path. And the data acquisition module controls the test equipment to complete a detection task according to the path, acquires test data and environmental parameters, and encapsulates the test data and the environmental parameters to form a structured task data packet, thereby realizing data collection and task tracing.

The embodiment of the invention discloses a test parameter adjusting and testing system and method, chip testing equipment and electronic equipment. The system comprises a driving link module, a driving service module and a testing module. The driving link module is used for storing each first interface corresponding to at least one device in the chip test equipment; the drive service module is used for calling a first target interface in the drive link module when test parameter adjustment information for a target test item is received, and controlling the first target interface to send the test parameter adjustment information to a target device; and the test module is used for controlling the target device to execute the target test item according to the test parameter adjustment information and acquiring a test result corresponding to the target test item. Therefore, the test parameter information in the target device is directly adjusted in the chip test equipment, so that the test module can test according to the test parameter adjustment information, the adjusted test parameter information does not need to be uploaded to the chip test equipment again, and the test parameter adjustment efficiency is improved.

The invention relates to the technical field of chip verification, and discloses a chip verification method, test equipment and a chip verification system.The method comprises the steps that a template file is built, a verification environment and a test case are generated based on the template file, a configuration file is obtained, and parameters in the verification environment and the test case are updated through parameters in the configuration file; according to the method, the verification environment and the test case are updated, the updated verification environment and the updated test case are obtained, regression testing is carried out on the chip on the basis of the updated verification environment and the updated test case, the test result is obtained, the verification environment can be rapidly generated on the basis of the template file, parameters can be rapidly replaced, and the chip testing efficiency is improved.

The invention provides a close-range radio frequency electromagnetic field immunity test method and system, and relates to the technical field of communication detection, and the method comprises the steps: collecting near-field electromagnetic field distribution data and near-field frequency spectrum power distribution data formed by a radio frequency interference source on the surface of a tested device; constructing a near-field electromagnetic field distribution model; according to the frequency spectrum overlapping degree between the near-field frequency spectrum power distribution data and the working frequency band of the tested equipment, calculating the interference intensity of a radio frequency interference source on the tested equipment, and calculating the power of a target interference source according to the interference intensity through a dynamic frequency spectrum adaptation algorithm; regulating and controlling a radio frequency interference source to generate a radio frequency interference source signal with target interference source power; and monitoring an electromagnetic coupling coefficient of the tested equipment for the radio frequency interference source signal based on the electromagnetic field intensity distribution model so as to generate an immunity test result. Therefore, an actual interference scene of modern wireless equipment in a near-field environment can be simulated more accurately, and comprehensive evaluation of the equipment immunity under high-frequency and near-field conditions is realized.

The embodiment of the invention provides a mechanical arm insertion and extraction control method and device, test equipment and a storage medium, and the method comprises the steps that sensor data for sensing the working environment of a mechanical arm is received, and the working environment is the environment where the mechanical arm executes insertion and extraction operation on a target interface; according to the sensor data, the tail end acting force of a tail end executor of the mechanical arm and the pose of the target interface are determined; and under the condition that any one of the tail end acting force and the pose of the target interface is abnormal, control parameters of the mechanical arm are adjusted. According to the embodiment of the invention, the detection results of the visual sensor and the force / torque sensor are fused, the process of executing the plugging operation of the mechanical arm is monitored in real time, and once the target interface pose or the tail end acting force is abnormal, the motion track of the mechanical arm is immediately corrected and the insertion force is adjusted, so that self-adaptive adjustment is realized; and the success rate and the automation level of the plugging task are effectively improved.

The invention relates to an efficient test optimization method, system and device for chip test equipment, and the method comprises the steps: obtaining the equipment state data and test management information of the chip test equipment, carrying out the test unit division of the equipment state data based on the test management information, and obtaining the regional test information; acquiring real-time operation data of the chip test equipment, and performing matching analysis on the real-time operation data and the regional test information to obtain a real-time test task group; acquiring chip performance data acquired by the chip test equipment, performing load prediction on the regional test information to obtain a test load trend, and performing resource planning analysis with a real-time test task group to obtain an initial test scheme; performing exception identification on the chip performance data to obtain chip exception information; and performing global optimization on the initial test scheme according to the priority test sequence to obtain a global test strategy. According to the invention, fine management of different test tasks can be realized.

An intelligent cable bending test device disclosed by the present invention comprises a cable cylinder used for unwinding or winding a cable, a test wheel seat, a traction seat, a first adjusting assembly and a second adjusting assembly, the cable comes out of the cable cylinder, passes through a test wheel on the test wheel seat and then is connected to the traction seat, the test wheel carries out bending limiting on the cable, and the first adjusting assembly is connected with the second adjusting assembly. The test wheel seat moves relative to the base to form a bending test on a cable, the first adjusting assembly is provided with a first contact wheel, the second adjusting assembly is provided with a second contact wheel, and the first contact wheel and the second contact wheel clamp the cable and then limit the cable. The first adjusting assembly and the second adjusting assembly do not rotate synchronously so that the cable can be in a twisted or non-twisted state, bending performance testing of the cable in different twisted states is achieved, more accurate cable bending performance parameters are obtained, and meanwhile more abundant bending testing scenes are provided.

The invention discloses a compressor performance testing device capable of rapidly stabilizing working conditions, and relates to the technical field of compressor performance testing. The system comprises a test device and a test system in communication control connection with the test device, and the test device comprises an oil separation assembly and a refrigerant assembly; the oil separation assembly comprises an oil component, the oil component is connected with an oil flow meter and a gas path total flow meter through a tee joint, and the other end of the oil flow meter is connected with an oil cooler in series through an oil path pipeline. Through the arrangement of the refrigerant assembly, when a high-temperature and high-pressure gaseous refrigerant is discharged from the outlet of the tested compressor, one part of the high-temperature and high-pressure refrigerant is directly poured into the mixing box through the tee joint, and the other part of the high-temperature and high-pressure refrigerant is condensed by the condenser to become a liquid low-temperature and high-pressure refrigerant to enter the mixing box; the liquid refrigerant and the gas refrigerant are mixed, and the mixing proportion can be adjusted through the two adjusting valves respectively, so that the requirements of test working conditions are met.

The invention discloses a model wide-range attack angle change tail and web support device suitable for an airplane wind tunnel test, which comprises two support modes, namely a curved knife support rod and a web support support rod, an attack angle change mechanism, a lifting compensation mechanism and a mounting base, and is characterized in that a wind tunnel airplane model is arranged at the end part of the support rod, and the support rod is in screw connection with the attack angle change mechanism; the attack angle changing mechanism is connected to the lifting compensation mechanism through the mounting base, and the lifting compensation mechanism is mounted in wind tunnel test equipment. According to the invention, the large-range attack angle change of the airplane model in the wind tunnel test can be realized, and the center is kept unchanged at the height of the wind tunnel test.

The invention provides low-carbon fuel blending coupling combustion test equipment and method, and the equipment comprises a blending fuel feeding system which is used for blending solid-phase, liquid-phase and gas-phase low-carbon fuels with fossil solid fuels or other solid fuels in proportion; the one-dimensional combustion furnace is used for coupling combustion of the blended fuel; the flue gas treatment system is used for carrying out cooling, dust removal, desulfurization, denitration and carbon dioxide adsorption and trapping treatment on flue gas generated by coupling combustion; the control cabinet is used for controlling the stable and safe operation of the whole experiment platform; the low-carbon coupling combustion test system and method and the coupling combustion low-carbon technology have the beneficial effects that the coupling combustion condition that the actual boiler is internally mixed with low-carbon fuel is simulated by adopting a feeding and conveying mode of accurately controlling the blending combustion proportion, and the low-carbon coupling combustion test system and method and the coupling combustion low-carbon technology are formed; the device has multiple innovative functions of controlling the blending combustion ratio, efficiently coupling combustion, comprehensively purifying flue gas, adsorbing and trapping carbon dioxide, saving energy, reducing carbon and the like.

Apparatuses, systems, and methods for generative Artificial Intelligence (AI) assisted test process development based on an initial input of a specification of a device under test (DUT). The specification of the DUT may be inputted into the Generative AI model. The Generative AI model may summarize the specification, request further input via an interaction with an end user to finalize a description of the DUT, and generate / create test assets, such as code, documentation, tables, diagrams, and so forth. The Generative AI model may collaborate with the end user to refine outputs from the test assets. The refined test assets may be sent to software applications that can use / run / deploy various test assets. Additionally, the generative AI may access local test hardware and enumerate test hardware on other systems via network / serial communications to create a test system that fits the identified hardware.

The invention belongs to the field of rock-soil mechanical test equipment, and particularly discloses a shear slip test device for testing mechanical properties of high-temperature fractured rock mass, which comprises a shear test platform, a shear test box, a sound wave emission system, and a temperature control module and a circulating cooling system integrated in the shear test box. The shear test platform realizes independent control of normal force and shear force through a first loading block and a second loading block; the temperature control module and the circulating cooling system can simulate a high-temperature environment and perform a cold and hot cycle test; the acoustic emission system is used for monitoring acoustic emission signals in the rock sample in real time. The device can accurately simulate a high-temperature and cold-hot cycle environment, has high-precision mechanical loading capacity and a multi-parameter monitoring function, provides an effective experimental means for researching the mechanical property and damage mechanism of a high-temperature fractured rock mass, and can be widely applied to the research fields of deep geothermal resource development and enhanced geothermal systems.

The invention discloses a flexible piezoelectric sensor array applied to an aircraft and a preparation method of the flexible piezoelectric sensor array. The flexible piezoelectric sensor array comprises a lower substrate layer, a lower electrode layer, a piezoelectric sensitive layer, an upper electrode layer, an upper substrate layer and a packaging layer, the lower electrode layer is arranged on the lower substrate layer, and the upper surface of the lower electrode layer is attached to the lower surface of the piezoelectric sensitive layer element; the upper electrode layer is arranged on the upper substrate layer, and the lower surface of the upper electrode layer is attached to the upper surface of the piezoelectric sensitive layer element; the upper electrode layer and the lower electrode layer are both used for being communicated with external test equipment so as to monitor the change of voltage or charge of the sensor in real time; and the packaging layer is embedded into the flexible piezoelectric sensor array and is used for sealing and protecting the device. The device can be conformally attached to the surface of a complex structure of an aircraft, the structure of an aircraft body cannot be damaged, real-time monitoring of aerodynamic parameters and structural health conditions of the aircraft is achieved, and then intelligent control over the aircraft is achieved.

Micro-light emitting diode (uLED) devices comprise: a plurality of micro-light emitting diodes (uLEDs), each of the uLEDs comprising: a pixel; an N-contact in contact with the pixel and having an N-contact top surface; a P-contact in contact with the pixel and having a P-contact top surface; an N-contact test pad on the N-contact top surface and having an N-contact test pad surface; and a P-contact test pad on the P-contact top surface and having a P-contact test pad surface; and a primary release layer positioned between all of the N-contacts and P-contacts of the uLEDs. Test apparatus and methods of making and testing the same are also provided.

A system for accidentology-based measuring of accident risk-indexing score values for a motor vehicle to be tested providing a measured accident probability value for an occurrence of an accident event having a physical impact to the tested motor vehicle. The system includes a driving scenario module, a test setting module, and a scoring module. The driving scenario module is configured for determining various driving scenarios for the motor vehicle by defining a set of measurable scenario characteristics, which include at least one ADAS variable. The test setting module is configured for determining a test setting in form of a multi-dimensional test matrix, which includes testing protocols for each of the measurable scenario characteristics for providing measured values of measurable scenario characteristics of the various driving scenarios. The scoring module is configured for generating the risk-indexing score by receiving the multi-dimensional test result signal and a historical data information signal.

The invention provides a testing method and device, testing equipment, network equipment, a medium and a program product, and is applied to the technical field of testing. The method comprises the following steps: obtaining test requirement information of a to-be-tested scheme, and obtaining test process information obtained by executing the to-be-tested scheme by test execution equipment; analyzing the test process information according to the test requirement information by adopting a multi-modal large model to obtain a test intermediate execution instruction; and sending the test intermediate execution instruction to the test execution equipment for further test execution of the to-be-tested scheme. By adopting the method, the test process analysis in the multi-modal test process is realized by utilizing the analysis and reasoning capability of the multi-modal large model on the multi-modal information, and the test intermediate execution instruction for guiding the test execution is generated according to the test requirement information and is used for executing the subsequent test steps, so that the multi-modal test efficiency is improved under the multi-modal test scene. Automation of the interaction process is tested.

The invention provides an automatic network protocol testing method and system based on a large language model. According to the method, through three core technologies of structured protocol specification extraction, hybrid test case generation and retrieval feedback enhanced code generation, full-process automation from a protocol specification document to an executable test code is realized. The method comprises the following steps: firstly, carrying out preprocessing and structured analysis on an RFC document, and extracting protocol field information and state machine description; a complete test case covering normal, abnormal and boundary conditions is automatically generated based on protocol elements; and finally, an initial test code is generated in combination with a test equipment API document retrieval result, and multi-round iterative optimization is performed through running log analysis and an experience knowledge base. Compared with the prior art, according to the scheme, an end-to-end automatic test work chain is achieved, new protocol testing can be adapted without manual protocol modeling, meanwhile, a large language model and expert experience are fused through a feedback mechanism, and the test efficiency and the code quality are remarkably improved.

The invention relates to a power battery specific heat capacity quasi-steady-state measurement method, which comprises the following steps of: respectively arranging heating films on two large surfaces of a power battery, and uniformly and symmetrically arranging a plurality of thermocouples on the heating film on one large surface along the diagonal direction of the power battery, thermocouples with the same number are reversely and symmetrically arranged on the heating film on the surface of the other large surface along the direction of the other crossed diagonal line of the power battery, and an insulating material is wrapped outside the power battery; placing the processed power battery in a temperature control box, connecting the temperature control box with external test equipment through a connecting line, and adjusting and controlling the temperature control box to keep the initial temperature constant; the temperature rise rate is calibrated through heat loss calibration in the heating temperature rise stage and the slow cooling stage, and the specific heat capacity of the power battery is calculated based on the calibrated temperature rise rate. The specific heat capacity of the power battery can be obtained without extra heat loss calibration test, the method is suitable for stylized data algorithm processing, the data processing time is short, and the test result is accurate.

The invention discloses a simulation test device and method of a battery management system and a readable storage medium, and belongs to the technical field of vehicle test equipment.The simulation test device of the battery management system comprises an upper computer system and a simulation platform, the simulation test device of the battery management system generates a test signal through the upper computer system, and the test signal is transmitted to the simulation platform through the simulation platform; a test signal is sent to the simulation platform, the simulation platform operates a simulation work model through the vehicle simulation module according to the test signal and generates model data, and the board card module generates a working condition simulation signal according to the model data and then sends the working condition simulation signal to the battery management system; the battery management system can generate test data according to the working condition simulation signal, and the upper computer system generates a test report according to the test data, so that whether the thermal runaway function operates normally or not is judged conveniently, the thermal runaway function does not need to be tested by a real vehicle, automatic test is realized, and test accuracy and test efficiency are effectively improved.

The invention provides an automatic testing method and system for full-performance electromagnetic compatibility immunity, relates to the technical field of electronic equipment testing, and aims to accurately simulate electromagnetic interference signals and propagation characteristics thereof through real-time monitoring and data preprocessing in combination with a dynamic modulation function and a recursive coupling model, so that the testing precision and reliability are improved. By introducing a global feedback mechanism and disturbance integration, the immunity evaluation is dynamically optimized, the stable response of the tested equipment under various interferences is ensured, and the comprehensiveness of the evaluation is enhanced. Besides, a self-adaptive dynamic response model is further designed, the test system can dynamically adapt to response changes of equipment through self-adaptive adjustment of test parameters, the test efficiency is improved, errors are reduced, and the advantages of high efficiency and accuracy are shown in an electromagnetic compatibility test.

The invention discloses a multi-dimensional intelligent analysis and fault traceability system for ACU final test data, and relates to the technical field of data analysis. The multi-source heterogeneous data acquisition module is used for acquiring operation parameters, function test data and assembly data through a CAN bus, test equipment and a production system, and is provided with a high-precision timestamp; the data cleaning and preprocessing module is used for standardizing data, filtering and denoising, synchronizing time and complementing missing values; the multi-dimensional feature extraction module is used for extracting features from a time domain, a frequency domain, a time sequence and a space; the intelligent fault diagnosis module is used for classifying faults by using a random forest and a D-S evidence theory and evaluating severity; the fault traceability reasoning module is used for constructing a fault propagation graph and positioning root causes through a Bayesian network; and the visual display and early warning module is used for generating a three-dimensional fault tree and a thermodynamic diagram and triggering graded early warning. According to the invention, the fault detection rate and traceability efficiency are improved, the false alarm rate is reduced, early warning is realized, the ACU test process is optimized, and the product quality and safety are guaranteed.

A natural language-based no-code test automation system is provided. The test automation system includes natural language-based test cases and an app description file including a natural language description of a particular test application run on test devices. An intelligent test execution engine includes an orchestrator configured to convert the natural language-based test cases into actions to be performed for testing the test application on the test devices using the app description file and a large language model subsystem implementing large language models. The orchestrator maps each of the actions to a corresponding test application interface call in the test automation system using one or more of the large language models, and automatically tests the test application by iteratively executing each of the actions via the corresponding test application interface call.