77 results about "Software automation" patented technology

The invention provides a script preservation method which can be applied to the technical field of artificial intelligence. The script preservation method comprises the following steps: carrying out semantic understanding on demand related files by utilizing a large model, extracting core elements, and generating a structured demand change list; analyzing to obtain an abstract syntax tree of an existing script code, and constructing a mapping relationship between the software automation test element and a script code block; dynamically comparing the structured demand change list with an existing script code structure tree based on a mapping relation between software automation test elements and script code blocks, identifying a script range influenced by demand change, and outputting a change influence matrix; and based on the change influence matrix, generating an automatic script code snippet needing to be updated, and realizing preservation of the automatic script. The invention further provides a script preservation device and equipment, a storage medium and a program product.

The invention relates to the technical field of coal mine test equipment, in particular to a one-stop automatic test integration platform and a test method for coal mine application software. The one-stop automatic test integration platform comprises an executable test case construction module, an automatic test execution module and a test result management module. According to the automatic test platform and the test method, the functions of test management, system safety penetration, software automatic test, source code static analysis, system performance test, localization adaptation test and the like are integrated; the problem that in the prior art, it is difficult to comprehensively cover all function combinations and abnormal conditions by manually compiling test cases is solved, and the test omission ratio is remarkably reduced; centralized management and correlation analysis of data in each link in the testing process are realized through the data centralized management module, so that the testing efficiency is improved, and the problem positioning is more accurate and rapid; a standardized testing process is integrally formed, and software quality and compliance are guaranteed through all-around testing means.

The invention discloses an automatic multi-source analysis and integrated processing system based on artificial intelligence, and belongs to the field of software automation. Comprising a multi-source input unit, a unified semantic modeling unit, an automatic analysis unit, an automatic preprocessing unit, an automatic collaborative execution unit and a security authentication mechanism, wherein the security authentication mechanism comprises primary security authentication and secondary security authentication. According to the invention, end-to-end automatic closed loop from demand understanding to autonomous analysis of the processing path to execution landing can be realized, and key appeals in a complex project business scene can be accurately responded.

The invention provides an automatic testing method and system for AI vision, and is applied to the field of software UI automatic testing. According to the method, mobile terminal UI automatic test requirements are processed based on a visual processing model and a large language model, a JSON format test case is generated, and a YAML format test case for system execution and an XMIND format test case for test personnel to check and edit are generated after conversion and integrity check; the test equipment information is processed based on Appium service and WebDriver, and equipment interface screenshot information is obtained; processing the equipment interface screenshot and the element description information based on a visual processing model to generate element relative coordinates, and generating an operation result through coordinate conversion and operation processing; performing screenshot verification processing on the operation result to generate a test result record; and processing the test result record, the test case in the YAML format and the test case in the XMIND format to generate test report information.

The invention relates to the technical field of software testing, and particularly provides an automatic operation method for instrument testing software, which comprises the following steps: if a determined state parameter exceeds a preset threshold range, triggering an abnormal alarm signal to obtain an abnormal state classification result; for the abnormal state classification result, obtaining a pre-established instruction mapping table, and matching a corresponding automatic operation sequence from the instruction mapping table to obtain a preliminary operation instruction set; sending the final synchronization instruction sequence to the remote instrument equipment through a network transmission channel, obtaining equipment response feedback data, and obtaining a response timestamp record; comparing the response timestamp record with the initial state parameter, judging whether the response delay meets a preset standard or not, and obtaining a delay evaluation index; if the delay evaluation index is displayed abnormally, adjusting the matching logic of the instruction mapping table, and determining an optimized mapping table version; and regenerating an operation instruction set by adopting the updated mapping table version to obtain an optimized instruction sequence for a subsequent test cycle.

Techniques are disclosed relating to the protection of secrets within a software development lifecycle. Developers can use an encryption service to encrypt a secret to be used by an application within a package. The secret can be associated with the application, and then encrypted and included in a package that is signed and passed through a software automation pipeline to a data center that hosts the production server for the application. The application executing on the production server can request that the secret be decrypted by a decryption service after package verification. A developer can also specify, in a manifest file, a set of secrets needed for applications executing in the same data center. The manifest file may be passed from the software development environment to the data center, where the specified secrets are created and used by the applications without ever residing or being accessible outside the data center.

The invention discloses an automatic task processing method, system and device and a storage medium, and relates to the technical field of artificial intelligence and software automation. Comprises: receiving a task instruction input by a user; performing intention understanding and task disassembling on the task instruction to generate a structured task sequence; planning a plurality of candidate execution paths based on the structured task sequence, and selecting an optimal execution path based on a preset evaluation system; reasoning and executing each step in the optimal execution path through a control thinking mechanism, and outputting an intermediate or final result; performing autonomous verification on the output final result, and judging whether a preset condition is met or not; and if verification fails, starting an error reflection mechanism, analyzing an error reason and generating a repair strategy. The method has the advantages that the task process can be dynamically planned, autonomous verification and error correction and continuous learning optimization can be achieved, and meanwhile efficient and reliable intelligent automatic processing is achieved.

The invention discloses a server high and low temperature service operation switching test method, which comprises the following steps of: acquiring an incubator test temperature and an automatic service loading script in combination with temperature sensing, and simultaneously carrying a server function module monitoring script to form a high and low temperature cycle test service switching automatic test. According to the method, software and hardware are combined in the testing process, the testing temperature change is obtained through a hardware temperature sensing chip, then the service loading capacity of each module of a product is controlled through a software automatic script, the temperature box testing temperature and the automatic service loading script are obtained by combining temperature sensing, and meanwhile, a server function module monitoring script is carried; therefore, a high and low temperature cycle test service switching automatic test method can be formed, manual mechanical operation of personnel can be abandoned, manpower is saved, the test efficiency is improved, and the risk of missing test is reduced.

The invention relates to an automatic method for technical assistance in the correction of vulnerabilities of a computer system, where the aforementioned method comprises at least the following steps: a) receiving information relative to computer system vulnerabilities by text, voice, file input or through data exchange; b) launching tools based on artificial intelligence algorithms and machine learning to understand the information and requests entered relative to vulnerabilities; c) performing parsing and text mining of the information received and process it through intelligent data matching with information relative to the computer vulnerabilities present in a database or through interaction with external online vulnerability databases; d) in case of unsatisfactory results, starting an extended online search by web scraping using deep learning algorithms and unsupervised machine learning; e) updating an internal vulnerability database with the additional information found; and f) generating a vulnerability report accompanied by relative remediation.

The application discloses a kind of keyword-driven spaceflight TT&C software automation test method and system, method includes: based on the formation keyword of spaceflight TT&C software operation process;Spaceflight TT&C software operation process uses multiple programming languages;Keyword uses uniform programming language;Configuration test case template, template element is defined based on test case template and forms test case;Wherein, at least one of natural language, keyword and test data defines template element;According to the attribute of test type, filter test case and pack the test case filtered into test suite;Execute test case in test suite and collect execution, according to mapping rule, fill execution into corresponding test document template to form test document.The application can complete multiple complex spaceflight TT&C software test by the keyword and test case design compatible with multiple programming languages, realize that test script writing language is uniform and forms general operation to multiple spaceflight TT&C software.

The application relates to the technical field of software automatic testing, in particular to a Web system permission function automatic testing method based on Playwright, which comprises the following steps: creating independent browser contexts for multiple test accounts, and starting multiple page instances to load Web system interfaces to be tested in a concurrent mode; identifying clickable elements in the pages, iteratively updating the elements in combination with a local element library, and adopting a multi-mode clicking mechanism combining native clicking, native JS clicking and coordinate clicking to execute operations; monitoring and identifying page pop-up boxes, storing screenshots, and iteratively updating a pop-up box identification library; and summarizing test results to generate a test report. Through the concurrent execution of multiple accounts and multiple interfaces, the dynamic iteration of the element library and the pop-up box library, and the multi-mode clicking guarantee, the efficiency, adaptability, reliability and ease of use of the permission test are significantly improved.

The application discloses a kind of batch software automatic construction method, builds software on Linux and Kylin system, specifically includes the following steps: using AI neural network model analysis each source code description file of software, extracts the information of dependent installation, configuration or compilation;Write regular expression to extract the information of dependent installation, configuration or compilation in each source code description file of software;Contrast the information obtained by the above two methods, make a comprehensive decision;If the relevant information cannot be obtained by using the above two methods, then traverse the configuration file information in the first folder of source code directory by the method of traversal, select the appropriate default compilation method;Grab the information printed when compiling, use regular method to grab key flag information, judge whether the compilation is successful or not.By the application, a general method is established, which greatly simplifies the software construction work in the daily work of developers, and can quickly perform the construction work of a large number of code packages.

The invention discloses an automatic software testing method and device, equipment, a storage medium and a computer program product, and relates to the technical field of software development, and the method comprises the following steps: obtaining multi-source input data or change requirements of a software system; generating a business knowledge graph based on the multi-source input data or the change demand; automatically deducing a test case based on the business knowledge graph; and executing an automatic test on the software system based on the test case, and outputting a test result. The generation of the test logic is completely driven by the knowledge graph reflecting the current state of the software system instead of a solidified script or a static template, and the whole test process can be autonomously adjusted along with software evolution without any manual intervention, so that real intellectualization and adaptive evolution of the test process are realized, manual participation is not needed, and the test efficiency is improved. Therefore, the adaptive capacity of software testing is 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.

The application discloses a resource management API constraint extraction method and system based on a large language model, and belongs to the technical field of software automation analysis. In order to solve the illusion problem caused by directly using a large model to analyze API constraints, the application extracts function declarations and resource management sentences from API documents; constructs a multi-dimensional prompt template to obtain API allocation judgment results and reasoning processes; extracts core predicates of reasoning text and performs consistency verification to correct illusions; structures function declarations and extracts resource object types in combination with semantics; searches for paired release functions by taking the object types as constraints, and outputs API pairs; and finally performs resource misuse detection based on the API pairs through static analysis. The application can significantly reduce model output errors, improve release function searching accuracy, has strong anti-illusion ability and high automation degree.

The invention discloses a data-driven extensible communication protocol analysis system, method and device and a medium, and relates to the technical field of communication protocol processing and software automation, and the system comprises a log preprocessing module which is used for forming a binary protocol frame to be analyzed; the frame analysis module is used for carrying out structured analysis on the binary protocol frame and comprises a protocol atom library used for storing and analyzing an atom analysis function of a basic data field; the atomic type mapping table is used for associating an atomic type identifier declared in a protocol description file with the atomic analytic function; and the data stream analysis and visualization module is used for generating visual output based on the data stream context formed in the frame analysis process. According to the invention, the analysis of the newly added protocol field only needs to register a new atomic function in the protocol atomic library without modifying the core architecture of the system, and the newly added protocol type only needs to establish a new frame structure mapping relation, so that the system can quickly adapt to the evolution requirements of various communication protocols.

The application discloses an automatic task processing method, system and device and a storage medium, and relates to the technical field of artificial intelligence and software automation. The method comprises the following steps: receiving a task instruction input by a user; performing intention understanding and task decomposition on the task instruction to generate a structured task sequence; planning a plurality of candidate execution paths based on the structured task sequence, and selecting an optimal execution path based on a preset evaluation system; reasoning and executing each step in the optimal execution path through a tempering thinking mechanism, and outputting an intermediate or final result; autonomously verifying the final result, and determining whether the final result meets a preset condition; if the verification fails, starting an error reflection mechanism, analyzing the error cause, and generating a repair strategy. The application has the beneficial effects that it can dynamically plan a task flow, autonomously verify and correct errors, and continuously learn and optimize, and simultaneously realizes efficient and reliable intelligent automatic processing.

The application is suitable for the technical field of software automatic test, and provides an automatic test case generation method and system based on operation intention model and quality access control linkage, which comprises the following steps: constructing an operation intention model to simulate user operation intention; configuring quality access control conditions; generating candidate test cases by using the operation intention model; executing the candidate test cases and collecting quality evaluation data; comparing the quality evaluation data with the quality access control conditions; and adjusting the generation strategy and optimizing in a closed loop according to the comparison result. The application introduces user behavior understanding and machine closed loop control into automatic test, realizes high-quality initial generation and dynamic adaptive optimization of test cases, significantly improves the generation efficiency, business coverage rate and quality stability of test cases, and has important significance for improving the intelligent level of large-scale agile test.

The invention discloses an automatic software testing method and system, and the method comprises the steps: S1, reading a test case from an Excel table, and carrying out the preprocessing of the test case; s2, according to the test case, simulating user operation through a UI automation technology to realize function operation simulation of the tested software so as to obtain an actual output result; s3, according to an expected expression in the test case, calculating to obtain an expected output result; s4, comparing the actual output result with the expected output result to obtain a test result of the test case; and S5, writing the test result into a cell corresponding to the test case in the Excel table. According to the software automatic testing method and system, the testing process can be simplified, the testing efficiency can be improved, and the testing cost can be reduced.

The invention provides a system applied to batch testing of general hosts, and belongs to the field of terminal products, the system comprises a touch screen, an advertisement screen, a bar code reading module X2, a 18-path USB interface control panel, a test hard disk, a power amplifier loudspeaker X2, a decibel tester and a whole set of cables, and the whole set of structure is assembled into a test board through a metal plate structure; after each cable of the hardware is connected with each interface of the master controller, each interface is tested in sequence through a software automatic test platform, a test result is recorded, a test conclusion and a report are output, and an automatic test function is realized.

This invention discloses a method, apparatus, device, and storage medium for implementing automated software testing, relating to the field of software testing technology. The method includes acquiring test tasks and sending them to a corresponding test management platform; parsing the test tasks and associating them with basic test cases in a test case library to form an automated test sequence for the corresponding test tasks; distributing the automated test sequence to automated test execution devices managed by the test management platform; executing test plans, performing test operations, obtaining test results, and generating test reports. This application employs distributed technology to construct an automated software test factory, building a data management system and multiple test management platforms to replace the central platform system, significantly improving the shortcomings of centralized solutions such as long construction cycles, high costs, poor scalability, and poor stability.

The invention discloses a UI self-feedback generating and testing method and system based on a large model, and belongs to the technical field of man-machine interaction and software automation testing. The method aims at solving the problems that in the existing UI construction and testing process, requirement understanding is not accurate, testing rules depend on manual setting, and a closed-loop optimization mechanism is lacked, and mainly adopts the technical scheme that semantic analysis driven by a large language model, UI prototype automatic generation, semantic matching test case derivation and a multi-round self-feedback optimization mechanism are combined. And an integrated intelligent UI construction and test system is constructed. According to the method, full-process automatic closed loop of UI design, test and optimization can be realized, and the intelligence level of interface generation and the comprehensiveness of test coverage are improved.

The invention discloses a battery management system software automation test device, and relates to the technical field of batteries, the battery management system software automation test device comprises a test preparation module, a test execution module, a durability test module, a test ending module and a database, firstly, a simulation simulator simulates a BUM to dynamically modify the monomer voltage, temperature and current value of a tested controller; meanwhile, the tested controller receives an instruction issued by the test upper computer to simulate a communication fault, then simulates the TMS and controls the TMS by modifying the temperature of a single cell, meanwhile, the direct-current power supply simulates output voltage, and the simulator simulates a current sensor according to charge and discharge multiplying power to send a current message to the tested controller; finally, the tested controller under different charge-discharge multiplying power and simulation working conditions is simulated, the stability of the tested controller is analyzed, the test cost and the complexity of a test link are reduced, the reliability and the stability of the tested controller can be effectively verified, and the test efficiency and the test convenience are guaranteed.

The invention discloses a dynamic screen area monitoring and self-adaptive character extraction system based on visual localization, which relates to the technical field of dynamic screen character perception, and comprises the following steps: acquiring an original image frame of an electronic screen, carrying out resolution adaptation, automatically identifying a target area and outputting coordinates; executing character recognition; detecting a target area content change of the target area image; and driving the extraction system to re-execute the positioning-extraction process. According to the method, dynamic screen area monitoring and adaptive character extraction without manual intervention are realized, the manual operation cost and the system maintenance burden are reduced, and high-reliability and high-adaptive intelligent screen sensing capability is provided for application scenes such as software automatic testing, user behavior analysis, content security auditing and barrier-free assistance.

The invention belongs to the technical field of software automation testing, and provides an application state snapshot detection and bifurcation execution method and device, equipment and a medium, and the method comprises the steps: distributing instance identifiers and session identifiers for virtual instances of a running target Android application, and constructing a mapping table of the instance identifiers and the session identifiers; according to the mapping table, an incremental snapshot and fingerprint technology is adopted to collect snapshot content of the virtual instance according to the triggering opportunity, the snapshot content is stored in an associated mode according to the mapping table, and a snapshot generation process is determined through a session access index table; performing state recovery and operating environment isolation on the bifurcation instance according to the photo generation process; and creating a plurality of sub-process instances for each bifurcated instance, and debugging the bifurcated instances according to the debugging strategy and the modification configuration to obtain a debugging result. The method has the beneficial effects that the abnormal points can be carried and reproduced, and the detection accuracy and efficiency of faults, especially even faults, are improved.

The application relates to the field of data retrieval and software automation, and particularly relates to a software improvement suggestion generation method based on fault feature matching and role guidance. Standardized fault events are formed by standardizing original fault data and analysis description data. The event content is subjected to word segmentation and semantic understanding by using a pre-trained domain natural language model, and preliminary feature information is extracted. Then, the context dependency relationship between features is analyzed by using a bidirectional long short-term memory network, longitudinal causal correlations and horizontal relationships containing a transmission chain, a responsibility chain and a correction chain are constructed, and on this basis, corresponding associated chains can be triggered according to the key content input by a user role, and targeted improvement suggestions are output by combining a natural language generation technology. The application converts fragmented fault cases into a structured knowledge network, realizes systematic reuse of fault data, improves the pertinence and efficiency of software improvement, and effectively reduces test cost and manpower investment.

This application relates to the field of automated migration technology for computer software, specifically a declarative method for automated cross-platform UI translation. The method includes: parsing a source UI file, extracting component types, attributes, modifiers, and child node information, and constructing a structured UI tree; mapping the component types, attributes, and modifiers in the UI tree to the basic structure of the target platform ArkUI based on a predefined cross-language component mapping table, generating an ArkUI code skeleton; constructing prompts, inputting the ArkUI code skeleton and prompts into a large language model, and using the large language model to generate preliminary ArkUI code; correcting syntax errors and incompatibilities in the generated preliminary ArkUI code using deterministic transformation rules, and outputting target code that can be directly compiled and run. This invention significantly improves the engineering implementation efficiency of cross-platform UI translation while maintaining high-fidelity visual effects.

Improved techniques for extraction of data from documents, namely, from images of documents, so as to better enable software automation. The software automation can, for example, be provided by software robots of RPA systems. The improved techniques can provide automated feedback-based modification of data extracted from an image of a document through use of previously used validation guidance provided by a user in validating extracted data from a same or similar document. In one embodiment, the automated feedback-based modification can locate an appropriate feedback file through use of document fingerprints and document clusters. Then, guidance from the appropriate feedback file can be used to automatically modify at least a portion of the data extracted data from the image based on the guidance retrieved from the feedback file. Advantageously, the improved techniques can reduce the need for user participation in validation of data extracted from images of documents, and yield greater and more accurate automated data extraction.

This invention discloses an automated server interface testing system and method, belonging to the field of software automated testing technology. The system includes receiving a test configuration command containing the address of the interface to be tested, expected response, and concurrency scale parameters; obtaining the latest version of the associated business code from the version control repository, calling a code dependency analysis tool for syntax parsing, and generating an interface function call relationship topology diagram; dynamically creating multiple logically isolated test execution containers based on the concurrency scale; automatically constructing independent test request message sequences for each interface and covering different input conditions based on the topology diagram and expected response data using a test case generation engine; and distributing the message sequences to each container, driving it to send requests to the corresponding interface. This method automatically constructs test models and intelligently generates test cases through code parsing, improving the automation level, scenario coverage, and execution efficiency of testing.

The present invention provides a laser cutting machine for cutting sheet metal, particularly unwound from a coil or automatically fed in sheets, and a method for cutting and separating waste and workpieces in the laser cutting machine. The cutting machine includes a loading conveyor (2) and an internal conveyor (5) that move linearly in the direction of the X axis, each having a rotary load-bearing element (23, 53) and a slot disposed therebetween. A head unit with a control system dynamically moves over the sheet metal (1) in the slot area (C) in the X, Y, and Z axes according to preset software. At least one side gripper (3) is slidably mounted on at least one side of the body. The internal conveyor (5) is removably connected to an unloading conveyor (10), which is a separate module directly connected to the internal conveyor (5) and moves linearly on both sides along the X direction by the linear drive of the internal conveyor (2). An extraction unit (7) is located in the working area below the loading conveyor (2) and the internal conveyor (5). The cutting machine includes at least one module for collecting the sorted workpieces and / or waste, from where they are discharged from the load-bearing element of the cutting machine's linear conveyor, which operates along the X-axis. All stages and operations occurring in the machine are automated and controlled by external software, i.e., sheet metal movement, laser cutting, movement and rotation of the loading conveyor, movement and rotation of the internal conveyor, workpiece separation, skeleton separation, waste separation - all occur simultaneously and without the need to stop the machine.