18 results about "Game testing" patented technology

This application provides a game testing method, system, and storage medium based on virtual characters. Starting from the first-person perspective of the virtual character under test, it first acquires the game scene currently visible to the player through the visible range, and then obtains scene function data, such as interactive items, NPCs, and quest points. Subsequently, this function data is combined with the virtual character's own information, and a series of simulated operation paths are generated using a behavior planning algorithm. Each path represents a series of actions the player might perform from that perspective, with the expected result pre-set for each step. Finally, each path is executed step-by-step in the game, and the actual results are compared with the preset results to obtain the pass / fail information for each path. In this way, by automatically generating a complete operation sequence matching the player's perspective, it helps to trigger hidden vulnerabilities, thereby improving test coverage and defect discovery efficiency.

The invention discloses a game testing method and system based on virtual reality. The method comprises the following steps: determining an optimal layout of a plurality of virtual cameras through an adaptive visual angle prediction algorithm and generating a panoramic test view; constructing a multi-dimensional operation data structure to record test operation at high frequency and realize compression storage; collecting performance data, and generating a visual performance distribution thermodynamic diagram through spatial interpolation; natural gesture interaction and multi-user collaborative labeling are realized based on hand feature recognition; and deploying a plurality of AI models to automatically detect vision, behavior and time sequence anomalies. The system comprises six modules including a VR environment construction module, an operation record analysis module, a performance visualization module, a collaborative interaction module, an intelligent detection module and a data storage module which work cooperatively through a standardized interface. A traditional plane game test is converted into an immersive VR test environment, the technical problems that the view field is limited, the operation record is not accurate, the performance analysis is not visual and the cooperation efficiency is low are solved, and an innovative technical means is provided for guaranteeing the game quality.

The embodiment of the invention discloses a game office test method and device, equipment, a storage medium and a program product. The method comprises the following steps: inputting an instruction text for indicating to perform a game game test into an intelligent agent model; wherein different virtual objects participating in game confrontation are controlled by different agent models; calling a large language model through the agent model to perform task splitting on the instruction text to obtain a to-be-executed sub-task sequence; when the agent model recognizes the moving sub-tasks contained in the sub-task sequence, calling an intra-office moving tool, and inputting position parameters of a target point into the intra-office moving tool; and acquiring a path from the current position of a controlled object corresponding to the intelligent agent model to the target point through the local moving tool according to the position parameter of the target point, and controlling the controlled object to move along the path. According to the embodiment of the invention, the effectiveness of the performance test in the MOBA game office is greatly improved.

The invention relates to the technical field of game testing, and provides an automatic testing method and system for game software, and the method comprises the steps: obtaining a behavior target sequence of a testing path of a testing agent in a video game; the behavior target sequence comprises a plurality of behavior targets, the behavior targets are used for indicating test tasks needing to be completed by the test agent, and the behavior targets further comprise task physical environment information corresponding to the test tasks; when the test agent is controlled to execute a behavior target in the behavior target sequence, an operation instruction is determined according to the state information of the test agent and the task physical environment information, and the operation instruction is used for guiding the test agent to complete the behavior target; and controlling the test agent to execute the operation instruction. The test efficiency of the game software can be improved.

This application discloses a method, apparatus, device, storage medium, and program product for in-game game testing. The method includes: inputting instruction text to an intelligent agent model to instruct in-game game testing; wherein different virtual objects participating in the game are controlled by different intelligent agent models; the intelligent agent model calls a large language model to perform task decomposition on the instruction text, obtaining a sequence of sub-tasks to be executed; when the intelligent agent model identifies a movement sub-task included in the sub-task sequence, it calls an in-game movement tool and inputs the position parameters of a target point to the in-game movement tool; the in-game movement tool obtains a path from the current position of the controlled object corresponding to the intelligent agent model to the target point based on the position parameters of the target point, and controls the controlled object to move along the path. This application significantly improves the effectiveness of in-game performance testing in MOBA games.

The application discloses a game testing method and device, terminal equipment and a computer readable storage medium. The method comprises the following steps: obtaining a target analysis result corresponding to a target game and picture data output by the target game in a testing process; determining a target probability of the target game based on the picture data and the target analysis result, wherein the target analysis result comprises a rule constraint condition, and the target probability is used for representing a probability that the target game follows the rule constraint condition; and obtaining a testing result of the target game according to the target probability. The method can probabilistically represent the case that the game follows the rule based on the picture data output by the game, so that the testing result is objective, and the automation degree and detection efficiency of the game testing process are improved.

Testing of a video game may include a test farm of game machines having different configurations. Different builds of a video game may be provided to the game machines, and the game machines may execute the video game. While executing the video game, the game machines may have an avatar travel along a path, with the game machines capturing performance data while the avatar travels along the path. The performance data may be compared with desired performance of the game machines, to assist in determining viability of the video game builds.

The invention provides a game testing method and device and electronic equipment, and the method comprises the steps: controlling at least one electronic equipment to load a specified game function module, and collecting test data generated when an artificial intelligence (AI) virtual role executes a game task included in game content corresponding to the specified game function module in the specified game function module; performing rule verification on the test data based on a pre-generated game design rule; performing comparison verification on the test data based on the historical test data passing the verification; and generating a test result of the target game based on the abnormal test data and the normal test data determined by the rule verification and the comparison verification. According to the method, a corresponding test script does not need to be written for each game task, and the AI virtual character is used for carrying out random running test, so that each function point in the game with high degree of freedom can be covered.

This disclosure relates to the field of computer technology, specifically to a game testing method and apparatus, storage medium, and electronic device. The method includes: injecting preset code into a Python virtual machine within a game process; the preset code is used to obtain the address of a target function in the Python virtual machine and establish a data transmission connection between the game process and a control terminal, wherein the target function address is the function address corresponding to the target function of a Python script running in the Python virtual machine; receiving test Python data sent by the control terminal through the data transmission connection, and executing the test Python data in the Python virtual machine based on the target function address. This disclosure separates the test script from the game code, improving the efficiency of testing or secondary development of games developed using Python scripts by injecting the test script into the Python virtual machine within the game process.

The utility model relates to mobile phone support technical field discloses multi -position game test mobile phone support operation platform, including support pole, the top of support pole installs fixed establishment, fixed establishment can provide multi -position mobile phone support, the top rear side of support pole installs heat abstract mechanism, heat abstract mechanism is used for to mobile phone cooling, fixed establishment includes support column, support column rotatoryly connects in the top middle part of support pole, the inboard top of support column is connected with support pole no.

The invention relates to the field, and discloses a game AI automatic test robot system and method, and the system comprises an initialization module which is used for shielding an interference process, configuring a game test environment and importing a model; the detection module is used for capturing a game picture at the frequency of 30fps, analyzing the picture through a CNN-LSTM scene analysis model, and outputting a scene state vector; the behavior module is used for selecting an optimal action through an epsilon-greedy strategy, mapping the optimal action into an operating system level instruction and executing the operating system level instruction, and obtaining a new scene state vector; the log module is used for monitoring whether the game is stuck, endless loop and state disorder exceptions or not, calling an Apriori model to mine association rules of exceptions, actions and states, and generating a structured log; the control circulation module is used for dynamically adjusting the test priority and resource allocation according to the checkpoint abnormal frequency and the test completion rate, and performing circulation execution; according to the invention, the test efficiency and scene coverage are improved, and the manual troubleshooting cost is reduced.

The invention discloses a game user interface test method, a terminal and a readable storage medium, and the method comprises the steps: respectively predicting the initial weights of DOM-level data, user-level data and system-level data through a long-short-term memory network, obtaining the type of a device for operating a game, adjusting the initial weights based on an attention mechanism and the type of the device, obtaining a final weight, and carrying out the testing of the user interface of the game. The performance score of the game is calculated according to the final weight, the DOM-level data, the user-level data and the system-level data, a user interface test result is obtained based on the performance score, missing detection is avoided, dynamic weight prediction is achieved through LSTM, meanwhile, the final weight of the multi-source data is obtained by combining the attention mechanism and the device type adjustment weight, the method is more comprehensive and accurate, and the user experience is improved. The performance score is calculated according to the multi-source data and the final weight, and the performance condition of the game UI is accurately quantified, so that the comprehensiveness and reliability of the game UI test are improved.

The invention provides a game development dynamic content generation method and system based on artificial intelligence, and relates to the technical field of game development, and the method comprises the steps: firstly obtaining a dynamic content generation demand corresponding to game development, and extracting demand features to form a demand feature spectrum; then screening adaptive elements from the game development resource pool based on the demand characteristic spectrum, and calculating an adaptation degree to generate a content evolution factor; calling a pre-trained game content self-evolution AI model, and inputting the demand characteristic spectrum and the content evolution factor to generate game initial dynamic content; collecting an interaction mark of the game test user and the initial content, and generating game evolution dynamic content in combination with the content evolution factor; and finally, calculating a content evolution completeness index based on the evolution dynamic content, and outputting a game dynamic content packet when the demand is met, thereby realizing efficient, intelligent and personalized game dynamic content generation.

The invention discloses a game test method, a game test device, a computer readable storage medium, electronic equipment and a computer program product, and the method comprises the steps: responding to a test instruction of a to-be-tested game service function, reading an annotation in a program code used for realizing the to-be-tested game service function, and through a preset test case, reading the annotation in the program code used for realizing the to-be-tested game service function; and controlling the target game virtual object to execute the to-be-tested game service function, and determining a test result of the to-be-tested game service function according to the process of executing the to-be-tested game service function by the target game virtual object. Therefore, the test case can be stored in the code annotation, so that a test case writing environment in a game service function test is simplified, test data does not need to be constructed or an execution script does not need to be written completely manually, function abnormity can be positioned quickly, and function verification can be completed quickly. And the situation that the user needs to construct a virtual offline environment for testing is avoided, and the testing efficiency is further improved.

This invention discloses a method and system for intelligent game testing and verification of wireless communication signals. The method includes: determining the configuration information of the communicating system and the interfering system; configuring the communicating system and the interfering system according to the determined configuration information, and starting game testing after configuration; statistically analyzing the game test results to obtain statistical results for the communicating system and the interfering system; calculating indicators based on the statistical results for the communicating system and the interfering system to obtain indicators for the communicating system and the interfering system; performing a weighted comprehensive evaluation calculation based on the indicators for the communicating system and the interfering system to obtain a comprehensive evaluation result; and measuring the intelligent game capability of the tested communication system based on the comprehensive evaluation result. This invention solves the problem of weak coupling between intelligent game testing and evaluation of wireless communication signals and application scenarios, as well as the problems of poor adaptability of existing intelligent game testing and evaluation methods for wireless communication signals and incomplete indicator systems.

The invention discloses an AI-driven game test data generation method and system, and the method specifically comprises the steps: constructing a game test Agent with an environment interaction capability through employing a PPO algorithm, automatically learning an extreme scene based on a state-action value mapping table outputted by the game test Agent, and outputting undefined boundary condition data; performing multi-source data fusion on the boundary condition data, the collected game log, the player forum text and the operation thermodynamic diagram to obtain fused multi-source data; inputting the fused multi-source data into a Transform encoder with a multi-head attention mechanism, and generating a composite test case containing a time-space attribute; and based on the composite test case, node embedding is dynamically updated through a neighborhood propagation mechanism of the graph neural network, and a test path sequence with a high coverage rate is recommended based on the updated node embedding. According to the method, the quality and efficiency of game test data generation are improved, and powerful support is provided for stable development of the game industry.

The embodiment of the invention provides a game testing method and device, electronic equipment, a computer readable storage medium and a program product, and relates to the technical field of game testing. According to the method, the target test robot is bound with the target function module, and the target test robot is controlled to execute the target function module to realize the corresponding game function, so that the flexible mapping relationship between the test robot and the specific game function is established, the target test robot is no longer limited to a preset fixed task process, and the test efficiency is improved. And the robot is driven by the dynamic binding relationship to execute the test operation of the specific game function in a targeted manner. According to the method, on-demand configuration and automatic execution of the test task are realized through a dynamic binding and execution mechanism, so that the flexibility and expandability of the test process are improved, the game test efficiency and coverage rate are improved, and meanwhile, the maintenance complexity of game codes is reduced.