576 results about "Source code file" patented technology

The invention provides a unit test case generation system based on a large language model, and the system comprises a function dependency analysis engine module which is used for preprocessing a target project, extracting a function dependency relationship, and generating an abstract syntax tree and a source code file; the large model module is used for automatically generating a test case through the code context information and the optimized cue word; and the verification and optimization module is used for verifying whether the test cases can be successfully executed or not by compiling and running the test cases, marking part of the test cases needing to be further processed, automatically analyzing error reasons, optimizing cue words and realizing automatic repair of the part of the test cases. According to the unit test case generation system based on the large language model, the function dependency analysis and the large language model are combined, the high-quality test case can be automatically generated, dependence on manpower or existing test cases is not needed, manual intervention is reduced, and the test efficiency and comprehensiveness are improved.

The invention discloses a warehouse level code problem solving system based on a large language model, and relates to the technical field of software engineering, a source code file is extracted from a code warehouse, a static analysis tool is utilized to analyze codes, a warehouse level code graph is constructed, and then code entities and dependency relationships thereof are analyzed; based on the warehouse-level code graph, combining historical problem solving data, and constructing a dynamic evolution knowledge graph through continuous learning; through a context retrieval module, according to the context information of the current problem, dynamically retrieving related solution strategies and generating corresponding code patches, complementing or reviewing suggestions; the validity of the generated patch is verified through static analysis, unit testing and integration testing, and a problem solving strategy is optimized according to feedback of a developer. The problem solving efficiency and accuracy can be improved, the development cost is reduced, the solving process is gradually optimized through an intelligent feedback mechanism, a closed-loop feedback mechanism is formed, and therefore the increasingly complex software development requirements are met.

There is provided a code retrieval method and apparatus based on a large language model, an electronic device and a readable storage medium, which relates to the field of artificial intelligence technologies, such as large language model technologies, big data technologies, cloud service technologies, or the like. The method for code retrieval based on a large language model includes: acquiring a code retrieval query to obtain a retrieval vector of the code retrieval query; acquiring a first index of a target code library, the first index including a plurality of code blocks and a plurality of code block vectors; acquiring a target code block according to the retrieval vector and the first index; acquiring a second index of the target code library, the second index being a code architecture knowledge graph; acquiring a target code file corresponding to the target code block according to a source code file corresponding to the target code block and the second index; and acquiring a retrieval result according to the target code block and the target code file.

The invention provides a code retrieval method and device and related equipment, and relates to the technical field of retrieval. The method comprises the following steps: segmenting each source code file to obtain a plurality of code blocks of each source code file; determining description information of each code block, and determining an association relationship between any two code blocks; generating a multi-layer code knowledge graph based on the description information of each code block and the incidence relation between any two code blocks; obtaining query information of a user, and determining a first code block based on the query information; determining a second code block related to the first code block in the multi-layer code knowledge graph; and generating a retrieval result by using the first code block and the second code block. Through the technical means, the problem of low code retrieval accuracy in related technologies is solved.

The invention relates to a test case generation method and system based on multi-agent efficient collaboration, belongs to the technical field of software testing, and solves the problems of incomplete scene coverage, logic disorder and the like when a single large model processes a complex task. The method comprises the following steps: constructing a multi-modal professional field knowledge base; the task planning agent module generates a test case generation task based on a project development document and a software source code file of a to-be-tested project and distributes the test case generation task to the test demand analysis agent module; based on the test case generation task, extracting a test demand point related to the tested software configuration item, describing the test demand point, and labeling a corresponding tracking relationship between a test demand point ID and a code snippet or a function in the software source code file to construct a test demand-code snippet / function set; and generating a test case and a test description document based on the test demand-code snippet / function set and the multi-modal professional domain knowledge base. And the ability of generating the test case of the large model is enhanced through organic and efficient cooperation of multiple agents.

The invention relates to a code file rewriting method and device based on a large language model, and the method comprises the steps: analyzing a source code file, obtaining the structure of a source code, and enabling the structure of the source code to comprise the definition of each function and the position of each function code in the source code file; respectively inputting each function code into a large language model, and respectively processing according to each cue word to complete rewriting of each function code; and combining each rewritten function code corresponding to each position in the source code file to form a rewritten code file. According to the invention, a scheme for optimizing and rewriting the codes based on the large language model and the file level can be provided.

The invention provides a private intelligent code collaborative optimization method and system based on graph retrieval, and relates to the technical field of software engineering intelligent auxiliary tools, and the method comprises the steps: obtaining a source code file and operation log data of a private project; the method comprises the following steps: performing syntax tree analysis on a source code file through a Tree-siter analyzer to generate a corresponding abstract syntax tree; constructing a code knowledge graph by analyzing a function call relationship, an inheritance relationship and a module dependency relationship; monitoring the change of a project file in the code knowledge graph through a code change event processor, and updating the code knowledge graph in real time when the file is changed; establishing an association relationship between the running log data and a corresponding function node in the code knowledge graph; the method comprises the following steps: analyzing a natural language problem of a developer into a Cypher query statement through an intelligent Agent; obtaining a query result from the graph database; and formatting the query result to generate a final result.

The invention relates to the technical field of information processing, in particular to a supply chain cross-packet vulnerability detection method, device and equipment and a storage medium. A vulnerability packet name, a sensitive API, a trigger parameter and vulnerability description are integrated into tetrad information; if so, performing cross-packet call chain analysis on the source code file by using a cross-packet chain reachability analysis algorithm, obtaining a function call sequence of the sensitive API based on a cross-packet call chain analysis result, realizing vulnerability detection on a cross-packet call chain, generating a vulnerability verification code based on tetrad information by using a preset large language model, and performing vulnerability verification on the vulnerability verification code. The method comprises the following steps: establishing a function call sequence of a bug verification code, verifying the accessibility of the bug verification code in the function call sequence, determining the bug confidence according to the energy consumption condition of a large language model, and generating bug alarm information when the accessibility verification result is that the bug is accessible and the bug confidence is high, thereby realizing double judgment of the bug, reducing the false alarm rate of the bug and improving the user satisfaction.

The invention relates to an automatic code activity graph generation system and method, and the system comprises a plurality of modules. The source code analysis module extracts source codes from the code file and generates an abstract syntax tree corresponding to the source codes. The model conversion engine is based on query view conversion specification operation, analyzes a method calling relation and an execution sequence in the abstract syntax tree by utilizing a group of analysis rules, and converts the source code into a programming language abstract model. And the model warehouse is used for storing the abstract model, identifying the language type through the extension name of the source code file, and matching the corresponding programming language model. The activity graph generator then generates an activity graph according to the abstract model, including an activity graph reflecting code logic and an activity graph generated based on code annotations. The layout module determines the position, the size and the shape of each node in the activity graph through an analysis method calling relation and an execution path, and generates a connecting line between the nodes. The system can visually display the code process and improve the efficiency of developers.

The invention discloses a code vulnerability detection method, a code vulnerability rule configuration method, a static single assignment SSA code acquisition method, devices corresponding to the methods, and electronic equipment. The code vulnerability detection method comprises the following steps: acquiring a plurality of source code files and code vulnerability rules of an application program; generating an abstract syntax tree of the source code file, and obtaining a function call relationship; and traversing the abstract syntax tree, and obtaining a cross-function risk propagation path according to the function call relationship and the code vulnerability rule. By the adoption of the processing mode, the function calling relation and the abstract syntax tree are fused to conduct cross-function code vulnerability detection, cross-function vulnerability detection of context sensitivity, flow sensitivity and domain sensitivity is achieved, and vulnerability false report and missing report are avoided; therefore, the accuracy and recall rate of vulnerability detection can be effectively improved.

The invention relates to the technical field of electric digital data processing, and provides a secondary development code cross-product transplantation method and device, computer equipment and a medium. The method comprises the steps of loading a source project, screening a to-be-transplanted source code file, identifying an original API type, determining a mapping relation between the original API type and a target API type, and generating an adaptation layer code framework according to the mapping relation; copying the to-be-transplanted source code file into the target project; on the premise of keeping the project hierarchical structure of the source project, replacing the calling node of the original API type with the calling node of the adapter type, and replacing the namespace reference with the corresponding namespace in the target project to obtain a migrated source code file; and obtaining a secondary development project of the target project based on the second product API according to the adaptation layer code framework and the migrated source code file. According to the method and the device, the transplantation efficiency and accuracy of the transplantation of the cross-product secondary development codes are improved.

The invention discloses a multi-language dynamic switching system and method of embedded equipment, and relates to the technical field of human-machine interfaces and embedded systems.The method comprises the steps that source codes in an HMI program are traversed through a character extraction module to extract all character strings; eliminating repeated items, numbering the character strings, and outputting a database file and a replacement array; substituting the serial number into the source code file again by using the substitution array to replace the character string at the corresponding position; outputting the translated database file as a C language source code, compiling the C language source code into a dictionary generation module project, generating an executable file, and outputting the dictionary file to an HMI running directory after the device is started; after the HMI program is started, the dictionary is read into different dictionary arrays according to blocks, and character strings at corresponding positions in the dictionary arrays are extracted after a page sends a request. The method has the advantages of being lower in maintenance difficulty, more efficient in resource utilization, shorter in indexing time, better in system robustness and the like.

Providing interactive software-development links via user interfaces, based on remotely retrieved information from remote computer networks without requiring users to transition between websites within the user interfaces may be facilitated. In some embodiments, an Application Programming Interface (API) may be provided that is configured to receive one or more commands from a first server and a second server. The system may receive via a monitoring-function installed on a client device, a first message from the first server to update a source code file stored in a software-version controlled repository. The system may determine from the first message, a source code file identifier. The system may then receive, via the monitoring-function, a second message from the second server indicating an update associated with a software-development automation service platform. The system may determine, from the second message, a feature update characteristic and may display a message comprising the source code file identifier and the feature update characteristic.

The invention provides a distributed compiling method and device, electronic equipment and a storage medium, and belongs to the technical field of data processing.The method comprises the steps that a source code file is sent to a server side to be compiled and assembled, a compiling result returned by the server side is obtained, and the compiling result comprises information of a compiled target file; based on the compiling result, a corresponding pseudo file is created, and the pseudo file comprises a rebuilding method of the compiling result file; after pseudo files corresponding to all the compiling results are obtained, a link command is sent to a server side, and the link command indicates the server side to conduct file link operation on all the target files; and receiving the executable file returned by the server. According to the method and the device, the intermediate file is prevented from being copied for multiple times between the client and the server, so that the network load required by file transmission is reduced, and the distributed compiling efficiency is improved.

The invention relates to a test case generation method based on a multi-modal knowledge base and self-adaptive cue words, belongs to the technical field of software testing, and solves the problems of insufficient reuse of historical project data and expert knowledge, lack of knowledge in a large model professional field, prominent illusion problem, low adoption rate of generated test cases, low practicability and the like. The method comprises the steps of generating an original test demand set of a to-be-tested item; forming a test demand-code snippet / function set based on the software source code file and the original test demand set; generating a first-stage test tree graph based on each test demand point and the corresponding code snippet / function; forming a software test outline based on the test items, the test subitems and the corresponding test demand points and code snippets / functions; forming a second-stage test tree graph based on the first-stage test tree graph and the software test outline; and generating a test case based on the second-stage test tree graph and the software test outline. And the specialty, the accuracy and the interpretability of the test case are enhanced.

The invention relates to an automatic hard disk testing method and device and a readable storage medium, and the method comprises the steps: importing configuration information which comprises preset BIOS (Basic Input / Output System) configuration parameters; obtaining current BIOS configuration information of the remote server, and judging the consistency of the BIOS configuration information and the BIOS configuration parameters; if the BIOS configuration information and the BIOS configuration parameters do not meet the consistency requirement, updating the BIOS configuration information, and restarting the remote server to enable the updated BIOS configuration information to take effect; the FIO source code file is connected to a remote server through an SSH, the FIO source code file is transmitted to the remote server through an SFTP protocol, and compiling is carried out on the remote server to generate an FIO command; in response to the FIO command, performing performance test on the to-be-tested hard disk; and uploading the performance test content and the test progress of the to-be-tested hard disk to an upper computer to generate a visual test result. According to the embodiment of the invention, the automation degree and the testing efficiency of hard disk testing are improved, and meanwhile, the visualization degree of the testing result is improved.

The invention provides a signal positioning method and device in a circuit design file, electronic equipment and a readable storage medium, and the method comprises the steps: obtaining a signal name of a to-be-debugged signal, and according to a first corresponding relation among a source code module, a compiled code module and the signal name of the signal, obtaining a to-be-debugged signal; determining a target source code module and a target compilation code module matched with the signal name of the to-be-debugged signal, and according to a second corresponding relation between the source code file and the source code module and a third corresponding relation between the compilation code file and the compilation code module, compiling the to-be-debugged signal. Determining a target source code file and a target compilation code file matched with the target source code module, and performing grammar analysis to obtain a first line number corresponding to the to-be-debugged signal in the target source code file and a second line number corresponding to the to-be-debugged signal in the target compilation code file, the signal name, the first line number and the second line number of the to-be-debugged signal are displayed in the display area for waveform debugging of the to-be-debugged signal, and the waveform debugging efficiency can be improved.

An automated identification of vulnerable software components is presented. The objective to find a method for the automatic identification of CVE affected software components through source-code parsing and text analysis. The method shall reduce manual work to a minimum and ensure a high level of data quality. The objective is solved by the computer-implemented method for identifying vulnerable software, comprising: receiving a software package; unpacking source code files for multiple versions of the software package; retrieving an entry for the software package from a vulnerability database; retrieving a patch for the software package; determining changes made by the patch to source code files of the software package; and determining whether the changes were made to a given version of software and reporting the given version of software as vulnerable in response to a determination the changes were absent from the given version of software.

The invention provides a method for realizing secure encryption of a java source code file based on a C + + dynamic library, which relates to the technical field of secure encryption, and comprises the following steps of: partitioning the java source code file, and processing by adopting a dual encryption mechanism through an encryption module in the C + + dynamic library: firstly, generating a dynamic key and a static key XOR to obtain a mixed key, performing AES encryption by utilizing the mixed key, and then, performing encryption by utilizing the mixed key; carrying out secondary encryption by adopting an elliptic curve cryptographic algorithm; the environment is monitored in real time during decryption, and debugging protection is prevented; and if the environment is normal, executing reverse decryption to recover the source code. According to the method, the source code protection intensity is improved, and reverse engineering and debugging attacks are effectively prevented.

The invention discloses an efficient code feature extraction method suitable for different programming languages, which comprises the following steps: loading different programming language configuration files from a specified project path, analyzing the language configuration files through a predefined language analysis rule mapper, and generating a language rule mapping table suitable for different programming languages; identifying programming language types, creating a multi-task queue according to the types and distributing task threads; preprocessing the source code according to the language rule mapping table, performing word segmentation and marking, and normalizing a word segmentation result to generate a normalized source code file; performing code block segmentation on the normalized source code file according to a given window and step size, generating hash values as characteristic values, and obtaining a code file taking a hash value sequence as a characteristic fingerprint; and carrying out serialized storage and output on the code file taking the hash value sequence as the feature fingerprint and the marked content according to a standardized format. According to the method, the code analysis efficiency and accuracy can be improved.

The invention belongs to the technical field of applet privacy leakage detection methods, and discloses an applet privacy leakage detection method and system based on an abstract syntax tree. Decompiling the packaged file of the applet to obtain a source code file; all the logic layer JavaScript files are converted into AST by using an expression analysis library; obtaining a calling dependency graph between a page logic layer file and a tool file layer according to the file reference relationship, obtaining a field-level binding dependency graph of the page logic layer file and the tool file layer according to a data and event binding relationship of the page rendering layer and the page logic layer, and merging the two layers to obtain a global dependency graph; finally, combining the dependency graphs to generate a global dependency relationship graph; dividing the JavaSript code into a plurality of basic blocks according to the dividing rule of the boundary of the control flow, determining the type of the edge according to the information of the boundary, and obtaining a GCFG by combining the dependency graph; and inputting the GCFG into a taint-pointer analysis module, and obtaining a privacy disclosure path according to predefined sink and source libraries and a data flow propagation rule.

The invention relates to the technical field of software testing, and discloses a code coverage rate determination method and device, computer equipment and a storage medium, and the method comprises the following steps: obtaining a plurality of source code files of a firmware module of a disk array card, compiling the source code files into execution files, performing instrumentation processing on the plurality of source code files in the compiling process, and obtaining the execution files; the execution information of each source code is updated when the execution file is operated; generating basic block files corresponding to the plurality of source code files, wherein the basic block files comprise pointers pointing to execution information of the corresponding source code files; running the execution file to enable the disk array card to map execution information of the basic block file and the source code file to a host cache region; after the execution file is operated, obtaining execution information of each source code file, and writing the execution information into an execution information file; and analyzing the execution information file and the basic block file to obtain the code coverage rate of each source code file. According to the invention, the coverage rate of the software code of the disk array card can be obtained.

A method for automatically generating a compiled binary file with fault countermeasures includes compiling, by a compiler, a source code file to a first binary file; analyzing the first binary file to identify one or more fault vulnerabilities in the first binary file, wherein analyzing the first binary file to identify the one or more fault vulnerabilities includes: injecting a set of faults into the first binary file during a symbolic execution of the first binary file to generate a set of faulted states of the first binary file; and identifying the one or more fault vulnerabilities from the set of faulted states, wherein the one or more fault vulnerabilities are fault vulnerabilities that cause the first binary file to violate at least one security requirement; and compiling, by the compiler, the source code file to a second binary file, wherein the compiler inserts a set of fault countermeasures into the second binary file based on the identified one or more fault vulnerabilities, wherein the set of fault countermeasures protect the second binary file against the one or more fault vulnerabilities.

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.

A preferably cloud-based platform supports improvements in software development by assessing quality of source code files, for example, when files are pushed to a software repository. Various static analysis tools are executed on a source file, and the resulting bug reports, which reflect native features of the tools are assembled in a dataset. The bug dataset is enhanced by adding additional features that are not natively generated by the static analysis tool. An ML classifier is trained to predict a selected bug feature, and the classifier is used to update the bug dataset to include estimated values of the selected feature. In an embodiment, post-processing analysis of bug report datasets applies machine learning methods to predict the “severity” of bug reports, an indication of whether they are likely to be true or false. Further, a report of code quality can be returned based on the severity predictions.

The invention discloses a service execution method and device, a storage medium and electronic equipment, a server obtains a source code file of a to-be-adjusted application program, determines a target programming language which the to-be-adjusted application program needs to be converted into, then determines a program framework adopted by the to-be-adjusted application program under the target programming language, and sends the program framework to the server; according to the target programming language information and the original programming language information corresponding to the to-be-adjusted application program, determining a target prompt statement according to the target programming language information and the original programming language information, and then inputting the target prompt statement and the source code file into a preset large language model so as to adjust the to-be-adjusted application program through the large language model. And obtaining a code of the to-be-adjusted application program in the target programming language according to the target programming language, obtaining an adjusted application program according to the obtained code and the program framework, and executing a service according to the adjusted application program. The application program is rewritten through the large language model, compared with manual writing, the needed time is shortened, and the efficiency of rewriting the application program is greatly improved.

A method for string analysis in a code scanning engine comprises a string analysis rule definition, the string analysis rule definition including a search pattern and a test criterion. At least a portion of a string in a source code file is determined to be a match to the search pattern. The test criterion is evaluated against at least a portion of the string. An indication of a result of the evaluation of the first test criterion is provided.

Systems and methods are described for maintaining bifurcated data management while labeling data for artificial intelligence model development. For example, the system may receive a first label for a first sample from a first dataset, wherein the first dataset is accessible to a first subset of a plurality of users, and wherein the first subset comprises a first attribute. The system may receive first version metadata of the first label, wherein the first version metadata comprises a proposed label for the first sample assigned by a first user. The system may determine, based on a first user input from the first user, a first grouping of source code files for storing the first version metadata, wherein the first grouping of source code files is accessible to a second subset of the plurality of users, and wherein the second subset comprises a second attribute.

The embodiment of the invention provides a code generation method and device, the method and device are applied to a code generation system comprising a plurality of agents with different functions, and the method comprises the steps that a first demand of a user side is analyzed through a demand analysis agent, and a target demand is obtained; analyzing each file in a source code file library associated with the target demand through an engineering analysis agent group, and determining a dependency relationship corresponding to the source code file library; determining to-be-modified information corresponding to the target demand through the dependency relationship; and through the code modification agent, determining a target code according to the to-be-modified information. Through cooperative work of a plurality of agents, multi-level code analysis from microcosmic to macroscopic is realized, and the modification accuracy and the code speed are ensured. In the scheme, the target code is generated based on the source code, seamless integration of the target code and an existing system can be ensured, and the workload of later debugging and reconstruction can be remarkably reduced.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for analyzing computer software source code. One of the methods includes receiving an updated snapshot of a source code file that comprises a change to an existing snapshot of the source code file maintained at a code repository for a software project; obtaining feature data; processing the feature data using a machine learning model to generate a classification output that classifies the updated snapshot into one of a plurality of categories; and performing, based on the classification output, an action with respect to the updated snapshot.