179 results about "Source code file" patented technology

The invention relates to the technical field of computer networks, in particular to a webpage project construction and access control method, which comprises the following steps: acquiring a Web project source code file, packaging the Web project source code file, configuring a root directory to correspond to the action of a rendering page, and generating a packaged resource file; uploading the packaged resource file to a code warehouse for code hosting, triggering an assembly line execution process, and storing the packaged resource file in a workpiece generated in the assembly line execution process; receiving an access request of a user, and determining item positioning information through a unique identifier in the access request; verifying the user access authority; if the user permission state indicates that the user permission verification is passed, requesting a corresponding resource file from a workpiece, and generating rendering page information containing API basic address information; and sending the rendering page information to a browser for page rendering.

The invention relates to the technical field of software engineering and information processing, in particular to a semantic verification method and device based on a large model.The method comprises the steps that a source code file and a corresponding software requirement and design document are obtained, code semantic representation is generated based on grammar analysis and static program analysis, and a semantic verification result is obtained; based on text analysis and business flow chart structure identification, generating a design demand semantic representation; respectively inputting the code semantic representation and the design demand semantic representation into a pre-training language large model to generate a code implementation logic description and a design demand logic description; and performing semantic consistency verification on the two types of logic descriptions to obtain a semantic inconsistency result, determining a code position in the source code file based on the semantic inconsistency result, and outputting a scanning report. According to the invention, the automation degree and the rechecking performance of consistency checking of requirements can be improved, and the leak detection and reworking cost can be reduced.

Methods, systems, and computer-readable storage media for a software dependency update system that processes computer-readable files (e.g., source code file, dependency description file) of a software project to generate an updated dependency graph using linear programming in view of a set of quality metrics for updating dependencies of the software project.

The invention relates to a test system based on a multi-modal knowledge base, belongs to the technical field of software testing, and solves the problems of insufficient reuse of historical project data and expert knowledge, lack of professional domain knowledge, illusion, low test case adoption rate and low practicability. The system comprises a knowledge base construction module used for constructing a hierarchical multi-mode professional field knowledge base; the preprocessing module is used for forming a standardized project development document and a software source code file of a to-be-tested project; the test case generation module is used for generating a test case and a software test description thereof based on the multi-modal professional domain knowledge base, the project development document of the project to be tested and the software source code file; and the test execution module prepares execution conditions according to the test case and the software test description thereof, and then executes the software test steps in sequence according to the input and operation description steps described by the test process to obtain an execution result of the test case. And knowledge-based and deep structured multiplexing of test assets is realized, and the test quality and efficiency are improved.

The invention discloses a code engineering automatic compiling construction method without appointing source code file paths one by one, and belongs to the technical field of software engineering. According to the method, makefile files are created under a code project path, unified src and inc folders are created in each level of catalog of a project to store source files and header files respectively, all file paths are obtained through automatic search, compiling and linking automation is achieved through a mode rule, and automatic generation of a dependency relationship and project solution construction are supported. The invention further provides a compiling construction method of the multi-code project. According to the method, the problem that Makefile or IDE setting needs to be repeatedly modified when code files are added and deleted and paths are modified is solved; the defect that code source file retrieval paths, header file retrieval paths, header file paths depended by compiling of source files and required object file paths need to be manually specified one by one for compiling in the prior art is overcome.

In a first use case, a description of source code to be created is validated and used to form a prompt for a large language model (LLM). The prompt is provided to the LLM to generate an output. The output from the LLM is post-processed to generate the source code. In a second use case, a source code file is processed and provided, along with instructions, to an LLM. The LLM provides a list of the methods in the source code file. The LLM is requested to provide a unit test for each of the listed methods. The output from the LLM is post-processed to generate unit tests for the methods in the identified source code file. In a third use case, the LLM is used to generate unit tests for new methods added to the source code file after unit tests were generated.

The invention relates to the technical field of code analysis, in particular to a code business logic vulnerability static analysis method based on a large language model, which comprises the following steps: performing semantic feature extraction based on a source code file set and a business requirement document to obtain a code business semantic feature map; constructing a business logic constraint knowledge network based on the code business semantic feature map, and generating a business scene simulation test case set based on the business logic constraint knowledge network; and executing the service scene simulation test case set, obtaining corresponding function runtime state data, and carrying out state transition trajectory analysis based on the function runtime state data to obtain an actual service state circulation sequence. By executing the test case and capturing the state data when the function runs, the state change of the program can be monitored in real time, an objective basis is provided for subsequent state transition trajectory analysis, and the reliability of an analysis result is ensured.

The invention discloses a code change generation method based on a multi-agent proxy library migration scene, which can accurately locate all code action ranges related to library migration in a file range by performing structured analysis on a source code file and combining source library import information and code feature recognition, and can improve the code change generation efficiency. The problems of omission and misjudgment caused by manual analysis or simple rule matching are avoided, and the integrity and accuracy of migration site recognition are improved. According to the method, the corresponding migration plan is generated by combining key information of the source library and the target library aiming at the identified action range to be migrated, so that the code change process is not limited to simple interface replacement any more, targeted adjustment can be performed according to a specific use scene, and the consistency of migrated codes in terms of semantics and behaviors is ensured. According to the method, through a collaborative code change generation and verification mechanism, the code change related to library migration is automatically generated and evaluated, and the reliability and availability of a generation result are improved while manual intervention is reduced.

A method and apparatus are disclosed for enhancing operable functionality of input source code files from a software program by identifying a first code snippet and a first library function which have similar execution flow similarity measures by evaluating a first contiguous sequence of n items extracted from the first code snippet against a second contiguous sequence of n items extracted from the first library function using an Ngram threshold that is calculated for the first library function and one or more literals from the first code snippet so that the developer is presented with a library function recommendation which includes the first code snippet, the first library function, and instructions for replacing the first code snippet with the first library function.

A method for detecting vulnerability fixes in software code is disclosed. A source code file containing source code is obtained. The source code file may, for example, be one of the files of a source code commit. The code changes associated with the file are determined, the code changes indicating differences between a previous version and a current version of the source code. Based on the code changes, a first code representation of the previous version of the source code and a second code representation of the current version of the source code are determined. A first embedding of the first code representation and a second embedding of the second code representation are obtained. By computing a distance between the first and second embeddings, a file-level code change representation for the source code is determined, and the source code file is classified based on the file-level code change representation.

The invention provides a software testing method and device, electronic equipment and a storage medium. The method comprises the steps that a source code file of to-be-tested software is compiled based on a WebAssembly compiler to obtain a compiling result and first debugging information, and the first debugging information represents the mapping relation between code lines in the source code file and instructions in the compiling result; the compiling result is converted into a to-be-tested binary file based on a format conversion relation, second debugging information is determined according to the first debugging information, the compiling result and the to-be-tested binary file, the format conversion relation is used for converting the WebAssembly binary file into a binary file in a preset format, and the format conversion relation is used for converting the WebAssembly binary file into the to-be-tested binary file. The second debugging information represents a mapping relation between a code line in the source code file and an instruction in the to-be-tested binary file; and running the to-be-tested binary file in a virtual machine used for running the binary file in the preset format, and debugging the to-be-tested binary file based on the second debugging information in the virtual machine.

The application discloses a COBOL-to-Java program conversion method and system based on a syntax tree, belongs to the technical field of computer program language conversion, and comprises the following steps: obtaining a COBOL source program file to be converted and configuration rules; performing lexical analysis and syntax analysis to generate an abstract syntax tree; converting COBOL syntax elements into corresponding Java semantic representations according to pre-defined semantic mapping rules; establishing an accurate access chain of a main program and COPYBOOK internal variables through variable path tracking; detecting and solving naming conflicts of COBOL different-level same-name variables based on a scope tree, and renaming variables by adding a parent class name prefix; and generating the converted Java semantic representations into a Java source code file. The application realizes high-fidelity and high-automation COBOL-to-Java conversion, significantly reduces the migration cost of a legacy system, and generates code with strong readability and excellent performance.

This application proposes a model-based question-answering method and apparatus for generating context based on grammatical structure. The method includes: selecting multiple initial code fragments related to the question information from a target code library; obtaining a source code file containing any one of the initial code fragments; locating a first code block node corresponding to the initial code fragment from the abstract syntax tree of the source code file; locating all ancestor nodes of the first code block node from the abstract syntax tree and extracting the code structure information of each ancestor node; generating a target code fragment based on the code structure information of the first code block node and all ancestor nodes; concatenating multiple target code fragments to obtain a target context; and inputting the target context into a question-answering model so that the model outputs answer information based on the target context. The embodiments of this application can effectively improve the question-answering performance of the model.

The present invention relates to the field of compilation of source code files. Disclosed is a method for supporting the compilation of an ultra-large source code file on the basis of an ANTLR tool. In the method for supporting the compilation of an ultra-large source code file on the basis of an ANTLR tool, when traversing tokens corresponding to each row of statements, a visitor encodes the tokens and stores the encoded tokens in a temporary file, and a token memory set and an encoding memory are no longer retained; when the last statement is parsed and compiled, the temporary file is combined with other information to form a complete compiled file; the size of the total memory mainly depends on a memory occupied in an ANTLR parse tree after the compiled file is read into the memory; and a parsed storage structure contains only information of public sections such as header and vectorList, and a small amount of token and label information for jumping, such that the overall memory footprint is greatly reduced. When an ultra-large file is compiled, the memory footprint remains stable, thereby enabling smooth compilation.

The application discloses a two-stage-based microservice smell detection method, which comprises the following steps: S1, according to the microservice system source code file, adopting specific analysis items, detecting different types of microservice smells based on one or more analysis items; S2, the results of different types of smell detection algorithms are summarized; S3, in the microservice system runtime, real-time collection of runtime container performance logs, runtime path tracking logs, runtime database operation logs; S4, according to the preliminary determination result of the static and running state combined analysis detection method, various microservice runtime logs, the determination of the smell in the running state is carried out; S5, the results of the three different detection methods are summarized and output in the form of JSON string, and each detection result of each smell contains position information. The method adopts a two-stage combined method of static and running state, and can comprehensively detect and accurately position multiple and miscellaneous microservice smells.

The invention relates to a front-end framework updating method and device, equipment and a storage medium. The method is applied to a Vue framework. Comprising the following steps: determining an ecological dependency packet from dependency data packets according to a preset recursive relationship among the dependency data packets in a Vue framework; the dependency data packet represents a data packet of a project application in the Vue framework, and the ecological dependency packet represents a dependency data packet belonging to the Vue framework; if the ecological dependency package meets a preset condition, generating a first AST of the ecological dependency package according to a source code file of the first framework; the first framework represents a Vue framework before updating, the first AST represents an abstract syntax tree of the ecological dependency packet in the first framework, and the source code file comprises code information corresponding to each dependency data packet; according to the first AST of the ecological dependency package, obtaining code information of the ecological dependency package in a second framework; the second framework represents the updated Vue framework; and determining a source code file of the second framework according to the code information of each ecological dependency package in the second framework.

The invention discloses a sensitive log identification method and device, equipment and a storage medium, and the method comprises the steps: traversing a source code file, and obtaining log information in the source code file; performing keyword matching and semantic analysis on the log information, and identifying sensitive information in the log information; and extracting position information of the sensitive information in the source code file, associating the sensitive information with the corresponding position information, and outputting structured data. According to the method, log information analysis is directly carried out on the source code level, so that the timeliness and accuracy of sensitive information identification are effectively improved.

The invention provides a malicious software detection method based on class distance optimization, and the method comprises the steps: obtaining malicious software sample data, and carrying out the preprocessing of the malicious software sample data; decompiling the preprocessed data to obtain a source code file; selecting byte code features from the source code file, and converting the byte code features into an RGB three-channel image; the RGB three-channel image is expanded by adopting the optimized GAN architecture, and an expanded malicious software sample is obtained; inputting the expanded malicious software sample into a deep neural network to obtain a malicious software family classification result; the generated high-quality malicious software image can be used for data enhancement, so that the model is more stable when facing various malicious software variants, the over-fitting risk is reduced, the reliability of a detection system is improved, the data acquisition cost is reduced, a data set is over-expanded, and the detection accuracy is improved. The deep learning model covers more possible malicious software features in the training process, so that manual intervention is reduced, and the automation level of a detection system is improved.

The present disclosure provides a statistical method, device, electronic equipment, storage medium and program for operation exception. The method comprises: assigning a corresponding file number to each of a plurality of preset source code files, each line of code in each source code file having a corresponding code line number; in response to monitoring that any source code file runs abnormally, obtaining a corresponding exception type number, file number and abnormal code line number where the exception occurs; querying a target partition directory matching the exception type number from a plurality of preset partition directories, the target partition directory comprising a plurality of type directories, each type directory comprising a plurality of file directories, each file directory representing a source code file and comprising a plurality of line number directories, and each line number directory representing a code line; and adjusting an exception count value of a corresponding directory according to a directory order of the type directory, file directory and line number directory. The embodiment can comprehensively obtain detailed information of an exception event, facilitating subsequent tracing of the exception event.

The invention discloses a jump control method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining element information of a target element and a file path corresponding to the target element after jump through responding to an element jump operation of the target element in a code of a target item; under the condition that the file path indicates that the target element comes from a target compiling file of the target project, position information of a target source code element corresponding to the target element is determined in a source code file of the target project based on the element information, and the target compiling file is obtained by compiling at least part of the source code file of the target project; and performing jump control based on the position information of the target source code element. Therefore, when the jump control is carried out on the element, the position of the corresponding source code element can be accurately jumped to instead of only the position of a decompiled file obtained after the target compiled file is decompiled, so that a developer can edit the source code element, and the development efficiency is improved.

The invention provides a USB measurement and control system collaborative verification platform building method based on the combination of System Verilog and a C language, and relates to the technical field of FPGA testing, the method is based on a Cadence IES simulation environment to build a verification platform of a layered tree topology architecture, the verification platform is independent of a tested design project file, a three-level system structure is adopted, and the verification platform is provided with a three-level architecture; the rtl design layer is used for storing a source code file of a to-be-tested USB measurement and control system baseband processing FPGA (Field Programmable Gate Array) described by adopting a register transmission level; and the tb test platform layer adopts a modular design and comprises a dutif interface definition module, a dutrap design packaging module, a tb test control module and a tbtop top layer integration module. According to the USB measurement and control system collaborative verification platform building method based on the combination of the System Verilog and the C language, intelligent generation of a verification environment is achieved through an automatic script, and the configuration complexity is remarkably reduced; and a parameterized configuration mechanism is adopted, so that different types of USB measurement and control systems can be quickly adapted, and excellent adaptability is shown.

This application relates to a method, system, device, and medium for real-time evaluation of business rules based on a large language model. The method includes: invoking a large language model to convert natural language business rules into structured description data containing entity identifiers, attribute identifiers, and rule constraints; mapping entity identifiers and attribute identifiers to the location information of corresponding program elements in a domain model based on a pre-stored mapping library, generating detailed mapping data; generating source code files implementing a preset evaluator interface based on the structured description data and the detailed mapping data; converting the source code files into an executable form and executing them in an isolated execution environment; invoking the evaluator interface, evaluating the execution results using generated test cases, and generating a verification report. This application achieves fully automated conversion of business rules to executable code, reducing maintenance costs and improving the efficiency of rule deployment.

The embodiment of the invention discloses an applet resource processing method and device, electronic equipment and a storage medium. The method comprises the steps of obtaining an applet source code file; identifying small program page jump information in the small program source code file; constructing a page weight map and a page resource tree of the applet page based on the applet page jump information; according to a page weight map and the page resource tree, determining a resource packet downloading sequence; subpackaging the applet source code file to obtain a page resource packet and a packet mapping relation table; generating applet loading information according to the resource packet downloading sequence and the packet mapping relation table; the applet loading information indicates that the page resource package of the applet is loaded in the configuration environment of the mother program. In the application, the page resource bundle corresponding to the key page can be preferentially downloaded in the configuration environment of the mother program of the client, and the key page resources in the page resource bundle corresponding to the key page are preferentially loaded, so that the applet resource processing efficiency is improved.

The invention provides a multi-thread risk detection method and device and electronic equipment. The method comprises the steps that key symbols indicating shared resources are extracted from risk code blocks of a to-be-detected source code file; aiming at each key symbol, searching an associated code block referencing the key symbol in the global source code, screening a write-in code block which performs write-in operation on the shared resource through the key symbol in the associated code block, and identifying whether the write-in code block uses a lock mechanism or not to provide protection for the write-in operation; determining potential risk points for target code blocks which are identified in the write code blocks and do not use the lock mechanism to protect the write operation; generating an associated file result list based on the risk information of the potential risk point of each key symbol, the file path of the to-be-detected source code file and the risk code block; and analyzing the associated file result list based on the risk large model to obtain an analysis report. According to the method, symbol association and intelligent large model analysis are combined, and efficient and accurate multi-thread risk detection is achieved.

This specification provides a data processing method and apparatus. The method includes: responding to a user's element selection instruction on a visual preview page of a target application, determining a target visual element in the visual preview page; determining the element source code file path and source code start information corresponding to the target visual element based on the element debugging information of the target visual element; searching in the source code file corresponding to the element source code file path based on the source code start information to obtain code block information corresponding to the target visual element; and responding to a data processing instruction issued by the user through the target application regarding the code block information, executing the data processing operation corresponding to the data processing instruction based on the code block information. This achieves automatic and accurate association from interface elements to source code, improving code processing efficiency.

A system for generating a unit test based on source code is disclosed having a computer, a source code file, an abstract syntax tree, and at least one unit test. The source code file contains a source code having a plurality of constructs each belonging to a type including functions, return statements, attribute assignments, function calls, and branches. An abstract syntax tree is generated by a computer based on a source code and a plurality of constructions, the abstract syntax tree having a plurality of nodes, where each of the plurality of constructions in the source code has a corresponding node. At least one unit test is generated by a computer based on nodes of the abstract syntax tree and predefined rules, the unit test comprising at least one packet function corresponding to a function configuration or a branch configuration, and the unit test comprising at least one trial function corresponding to a return statement configuration, an attribute assignment configuration, or a function call configuration.

Embodiments of the present application provide a webpage translation method, an electronic device, a storage medium and a program product, relating to the technical field of computer, and the method comprises: determining a target display area where a user gazes according to eye movement information of the user, wherein the target display area is used to display a target content block of a target webpage; identifying a source object node corresponding to the target content block from an object node tree of the target webpage, wherein the object node tree is obtained by analyzing a source code file of the target webpage; parsing the source object node to obtain source language information in the target content block; and displaying target language information corresponding to the source language information in the target display area. The translation method can ensure accurate extraction of translated content in the webpage translation scene of dynamic and complex layout, thereby improving translation accuracy and translation speed.

The application provides a source code vulnerability detection method and system, and relates to the technical field of data processing. The method comprises the following steps: generating a semantic judgment result based on a source code file set of a smart meter; generating a light conversation starting point and a magnetic tampering prevention trigger point according to the semantic judgment result, and constructing control flow information; defining a light conversation state variable, defining a conversation opening path segment based on the light conversation state variable and the control flow information; defining a magnetic optical probe scene path based on the conversation opening path segment; generating a vulnerability record corresponding to a sensitive operation according to the magnetic optical probe scene path; and generating a source code vulnerability detection report according to the vulnerability record corresponding to the sensitive operation. The application can make the detection conclusion aggregated and presented according to the scene path and provide clear guidance for rectification.

This disclosure provides a method, apparatus, electronic device, and storage medium for determining dependencies. The method includes: obtaining a source code file containing microservice code of a target microservice; and determining a dependency relationship between the target microservice and a called microservice based on the source code file, wherein the called microservice includes microservices called by the target microservice. By employing the above technical solution, this disclosure improves the accuracy, comprehensiveness, and speed of dependency determination.

The present disclosure provides an abnormal module determination method and device, equipment, storage medium and program product, and relates to the technical field of chip simulation verification. The method comprises the following steps: acquiring the calling path of each module in a to-be-verified chip in the to-be-verified chip and source code file storage information of each module; determining at least one reuse module from each module based on the calling path corresponding to each module; and determining an abnormal module from the at least one reuse module based on the source code file storage information corresponding to each reuse module. The method can effectively eliminate the risk of simulation verification environment collapse caused by the need to remove or trim the source code file corresponding to the abnormal module in the subsequent process, thereby ensuring the integrity and stability of the verification environment.