Automobile development test management method based on ALM system

Abstract

The invention relates to an automobile development test management method based on an ALM system, and belongs to the technical field of automobile development management. The method comprises the steps of integration of an ALM system and an automobile development process, automatic collection and analysis of test data based on the ALM, intelligent generation and management of test cases, multi-project collaborative management based on the ALM, automatic regression testing in the ALM system, a real-time collaboration and communication platform based on the ALM, and ALM configuration management adapted to a complex automobile system. And cross-domain problem tracking and management based on ALM. According to the method, through integrating functional modules such as a development process, intelligent test case management, multi-project collaborative management, automatic regression testing and a real-time collaborative platform, full-life-cycle management and optimization of the automobile development project are realized, the development efficiency can be remarkably improved, the error rate is reduced, product marketing is accelerated, and the development cost is reduced. And meanwhile, the product quality and consistency are ensured.

Description

Technical Field

[0001] The present disclosure belongs to the technical field of automobile development management, and in particular, relates to an automobile development test management method based on an ALM system. Background Art

[0002] As the complexity and integration of automotive electronic systems continue to increase, traditional development and test management methods face many challenges, such as the complexity of multi-project management, cumbersome test data management, difficulty in cross-team collaboration, and low regression testing efficiency. Existing management tools and methods often cannot effectively integrate various links throughout the development life cycle, resulting in extended development cycles, difficulty in ensuring quality, and increased costs.

[0003] As an application lifecycle management tool, the ALM system can provide all-round support from requirements management to testing and maintenance. However, the existing ALM system still has many shortcomings when facing the complex requirements unique to the automotive industry. Therefore, an innovative method based on the ALM system is urgently needed to meet these challenges and optimize automotive development and testing management.

[0004] Therefore, it is necessary to provide a new automobile development test management method based on the ALM system to solve the above technical problems. Summary of the invention

[0005] The purpose of the present disclosure is to provide an automobile development test management method based on the ALM system in order to solve the above problems.

[0006] The present invention achieves the above-mentioned purpose through the following technical solutions:

[0007] An automobile development test management method based on an ALM system includes the following steps:

[0008] Define the complete lifecycle model of the automotive development project in the ALM system, and develop API interfaces and plug-ins to enable the ALM system to be seamlessly integrated with various development tools, simulation tools, and testing tools;

[0009] Acquire test data from each test platform in real time and perform quality analysis to generate real-time quality reports;

[0010] Acquire and analyze historical test data, generate test cases, and adjust test case coverage based on changes in requirements;

[0011] Build a multi-project collaborative management module in the ALM system to unify the management of multiple development projects, build a resource scheduling algorithm, dynamically allocate development resources, and optimize the dependencies between projects;

[0012] Build an automated regression testing framework and integrate it into the ALM system. Set up a trigger mechanism to automatically execute regression testing after each design change or update, and compare and analyze the results with historical data.

[0013] Integrate a collaboration platform into the ALM system to support real-time communication via text, voice, and video;

[0014] Develop configuration management tools to automatically track and manage different system versions and configurations, use dependency management algorithms to avoid conflicts in system integration, and ensure compatibility of different versions;

[0015] Build a cross-domain problem management module to support problem recording and tracking in different fields, sort problem priorities and provide corresponding solutions.

[0016] As a further optimization solution of the present disclosure, the complete life cycle model includes a demand analysis phase, a design phase, an implementation phase, a testing phase and a verification phase.

[0017] As a further optimization solution of the present disclosure, real-time acquisition of test data from each test platform and quality analysis are performed to generate a real-time quality report including:

[0018] Collect and generate test data from different test platforms;

[0019] Automatically collect test data from each test platform into the ALM system;

[0020] Big data technology is used to process and analyze test data in the ALM system and generate quality reports for evaluation and decision-making.

[0021] As a further optimization solution of the present disclosure, obtaining and analyzing historical test data, generating test cases, and adjusting the coverage of test cases according to changes in requirements include:

[0022] Acquire historical test data from a database storing basic data for providing generation and optimization of test cases;

[0023] Analyze historical test data through artificial intelligence and machine learning technology, and automatically generate new test cases based on the analysis results to cover new or changed requirements;

[0024] Optimize existing test cases to improve test coverage and efficiency and reduce redundant tests;

[0025] Manage and organize all generated and optimized test cases to ensure version consistency and traceability;

[0026] Manage test case versions, track test case changes and history;

[0027] Stores and maintains all generated and optimized test cases.

[0028] As a further optimization solution of the present disclosure, a multi-project collaborative management module is constructed in the ALM system to uniformly manage multiple development projects, build a resource scheduling algorithm, dynamically allocate development resources, and optimize the dependencies between projects, including:

[0029] Build a multi-project collaborative management module in the ALM system to manage the overall coordination of multiple projects and ensure resource allocation and task progress among projects; each project has an independent project management module to be responsible for project progress, task allocation and quality control management;

[0030] Build a resource allocation module to dynamically allocate and schedule development resources based on the needs of each project;

[0031] Build a dependency management module to manage the dependencies between multiple projects, identify the mutual impact and dependency chains between projects, and ensure project coordination and consistency;

[0032] Build a conflict resolution module to handle and resolve resource conflicts and dependency conflicts between projects, and provide solutions and adjustment suggestions.

[0033] As a further optimization solution of the present disclosure, an automated regression testing framework is built and integrated into the ALM system, and a trigger mechanism is set to automatically execute regression testing after each design change or update. The obtained results are compared and analyzed with historical data, including:

[0034] Build an automated regression testing framework and integrate it into the ALM system. Set up a trigger mechanism so that any code design change or update will trigger the regression testing process. Receive trigger events through the continuous integration server and start the automated testing process. The testing framework automatically performs various types of tests, including unit testing, integration testing, system testing, and user interface testing. After the automated testing is completed, the test results are collected and stored. The test results are analyzed through the analysis module to identify failed test cases and potential problems. A regression testing report is generated based on the analysis results, outlining the success and failure of the test, which is used to fix errors and improve the code.

[0035] As a further optimization solution of the present disclosure, a collaboration platform is integrated into the ALM system to support real-time communication via text, voice and video, including:

[0036] Integrate a collaboration platform into the ALM system. The platform supports instant messaging, provides video conferencing functions, supports remote face-to-face communication and collaboration, and allows team members to share and manage files on the platform. Integrate task and project management tools into the ALM system to help the team track task progress and project status. Provide real-time notifications and alerts to remind team members of important updates and tasks.

[0037] As a further optimization solution of the present disclosure, a configuration management tool is developed to automatically track and manage different system versions and configurations, and a dependency management algorithm is used to avoid conflicts in system integration and ensure the compatibility of different versions, including:

[0038] Collect requirement information for different versions and configurations, maintain different versions of system configuration files, track change records for each version, and ensure version consistency; manage and update system configuration parameters, adjust configuration files according to requirements, and generate new configuration versions; track dependencies between different configurations to ensure that configuration changes do not cause system integration conflicts; check compatibility between different versions and configurations, automatically identify and resolve version conflicts and compatibility issues; release verified system configuration versions to ensure that the released configuration meets project requirements and quality standards; collect feedback information during the use of the configuration, and make necessary adjustments and optimizations based on the feedback.

[0039] As a further optimization solution of the present disclosure, a cross-domain problem management module is constructed to support problem recording and tracking in different fields, sort the problem priorities and provide corresponding solutions, including:

[0040] Build a cross-domain problem management module to receive problem reports from different fields and support multiple problem reporting methods, including manual input and automatic generation;

[0041] Categorize issues by area, assign priority and urgency rating to each issue;

[0042] Record the problem handling progress and status changes, provide real-time update of problem status and historical record query;

[0043] Conduct detailed analysis of problems, identify root causes, and provide solution recommendations and diagnostic reports;

[0044] Store and manage solutions and best practices for resolved issues for team reference and reuse;

[0045] Support cross-team and cross-domain collaboration and information sharing, and enable communication and collaborative work between experts in different fields;

[0046] Collect feedback information obtained during the processing process and optimize and improve the system based on the feedback.

[0047] As a further optimization solution of the present disclosure, the fields include hardware field, software field, functional field and non-functional field.

[0048] The beneficial effects of the present disclosure are:

[0049] The present invention realizes the full life cycle management and optimization of automobile development projects through integrated development process, intelligent test case management, multi-project collaborative management, automated regression testing, real-time collaboration platform and other functional modules. This method can significantly improve development efficiency, reduce error rate, accelerate product launch, and ensure product quality and consistency. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 is a method flow chart in an embodiment of the present disclosure;

[0051] Figure 2 is a schematic diagram of the integration of the ALM system and the automobile development process in an embodiment of the present disclosure;

[0052] Figure 3 is a flow chart of automatic test data collection and analysis based on ALM in an embodiment of the present disclosure;

[0053] Figure 4 is a structural diagram of an intelligent test case generation and management system in an embodiment of the present disclosure;

[0054] Figure 5 is a framework diagram of a multi-project collaborative management module in an embodiment of the present disclosure;

[0055] Figure 6 is a schematic diagram of an automated regression testing framework in an embodiment of the present disclosure;

[0056] Figure 7 is a schematic diagram of a real-time collaboration and communication platform in an embodiment of the present disclosure;

[0057] Figure 8 is a workflow diagram of a complex automobile system configuration management tool in an embodiment of the present disclosure;

[0058] Fig. 9 It is a structural diagram of the cross-domain problem tracking and management system in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0059] The present application is further described in detail below in conjunction with the accompanying drawings. It is necessary to point out here that the following specific implementation methods are only used to further illustrate the present application and cannot be understood as limiting the scope of protection of the present application. Technical personnel in this field can make some non-essential improvements and adjustments to the present application based on the above application content.

[0060] like Figure 1As shown, an automobile development test management method based on the ALM system includes:

[0061] 1. Integration of ALM system and automotive development process:

[0062] Define the complete life cycle model of the automotive development project in the ALM system, including stages such as requirements analysis, design, implementation, testing and verification.

[0063] Develop API interfaces and plug-ins to enable the ALM system to be seamlessly integrated with various development tools, simulation tools, and testing tools to achieve automated data transmission and process coordination.

[0064] 2.Automated collection and analysis of test data based on ALM:

[0065] Integrated data collection module to obtain test data from various test platforms in real time.

[0066] Through the data analysis module, big data technology is used to perform quality analysis and automatically generate real-time quality reports.

[0067] 3. Intelligent generation and management of test cases:

[0068] Use AI algorithms to analyze historical test data, automatically generate test cases, and automatically adjust case coverage based on changes in requirements.

[0069] Implement the test case version management function to ensure the consistency of test cases with project requirements.

[0070] 4. Multi-project collaborative management based on ALM:

[0071] Build a multi-project collaborative management module in the ALM system to achieve unified management of multiple development projects.

[0072] Design resource scheduling algorithms, dynamically allocate development resources, and optimize dependency management between projects.

[0073] 5. Automated regression testing in ALM system:

[0074] Designed automated regression testing framework and integrated it into ALM system.

[0075] Set up triggers to automatically run regression tests after every design change or update, and compare the results with historical data.

[0076] 6. Real-time collaboration and communication platform based on ALM:

[0077] Integrate a collaboration platform into the ALM system to support real-time communication via text, voice, and video.

[0078] By realizing information synchronization and sharing functions, team members can view the latest project status and problem feedback at any time.

[0079] 7. ALM configuration management adapted to complex automotive systems:

[0080] Develop configuration management tools to automatically track and manage different system versions and configurations.

[0081] Utilize dependency management algorithms to avoid conflicts in system integration and ensure compatibility of different versions.

[0082] 8. Cross-domain problem tracking and management based on ALM:

[0083] Design a cross-domain problem management module to support problem recording and tracking in different fields (hardware, software, functional, and non-functional).

[0084] Provides problem prioritization and solution recommendation functions to help teams quickly locate and solve problems.

[0085] In this embodiment, it specifically includes:

[0086] like Figure 2 As shown in the figure, the integration of ALM system and automotive development process includes:

[0087] Define the complete life cycle model of the automotive development project in the ALM system, including requirements analysis, conceptual design, detailed design, implementation, testing and verification. Develop API interfaces and plug-ins to enable the ALM system to be seamlessly integrated with various development tools, simulation tools, and testing tools to achieve automated data transmission and process coordination.

[0088] like Figure 3 As shown in the figure, the automated collection and analysis of test data based on ALM includes:

[0089] 1. Testing Platforms: Different testing platforms collect and generate test data.

[0090] 2. ALM System: The data of each test platform is automatically collected into the ALM system.

[0091] 3. Data Analysis Module: The data in the ALM system is passed to the data analysis module for processing and analysis.

[0092] 4. Report Generation: The results of data analysis are used to generate quality reports.

[0093] 5. Final Output (Quality Report): The final quality report generated is used for evaluation and decision making.

[0094] like Figure 4 As shown, intelligent generation and management of test cases include:

[0095] 1. Historical Test Data: A database that stores historical test data and is used to provide basic data for generating and optimizing test cases.

[0096] 2. AI / ML-based Analysis Engine: Analyze historical test data through artificial intelligence and machine learning techniques to generate new test cases and optimize existing test cases.

[0097] 3. Test Case Generation: Automatically generate new test cases based on the analysis results to cover new or changed requirements.

[0098] 4. Test Case Optimization: Optimize existing test cases to improve test coverage and efficiency and reduce redundant testing.

[0099] 5. Test Case Management Module: Manages and organizes all generated and optimized test cases to ensure their version consistency and traceability.

[0100] 6. Version Control System: Manage the versions of test cases and track the changes and history of test cases.

[0101] 7. Test Case Repository: Stores and maintains all generated and optimized test cases for use by development and testing teams.

[0102] like Figure 5 As shown in the figure, multi-project collaborative management based on ALM includes:

[0103] 1. Multi-Project Management: Responsible for managing the overall coordination of multiple projects and ensuring resource allocation and task progress among projects.

[0104] 2. Project Management: Each project has an independent management module, which is responsible for specific management tasks such as project progress, task allocation, and quality control.

[0105] 3. Resource Allocation Module: Dynamically allocate and schedule development resources according to the needs of each project to ensure the rational use of resources.

[0106] 4. Dependency Management Module: Manages dependencies between multiple projects, identifies mutual impacts and dependency chains between projects, and ensures project coordination and consistency.

[0107] 5. Conflict Resolution Module: handles and resolves resource conflicts and dependency conflicts between projects, provides solutions and adjustment suggestions, and ensures the smooth progress of the project.

[0108] like Figure 6 As shown, automated regression testing in the ALM system includes:

[0109] 1. Test Trigger Events: Any code changes, merges, or other events will trigger the regression testing process.

[0110] 2. Continuous Integration Server: The continuous integration server receives trigger events and starts the automated testing process.

[0111] 3. Automated Test Execution: The testing framework automatically executes various types of tests, including unit testing, integration testing, system testing, and user interface testing.

[0112] 4. Test Results Collection: After the automated testing is completed, the test results are collected and stored for analysis.

[0113] 5. Results Analysis Module: The analysis module analyzes the collected test results to identify failed test cases and potential problems.

[0114] 6. Regression Report Generation: Generates a regression test report based on the test results, outlining the success and failure of the test.

[0115] 7. Feedback Loop to Development: Regression test reports are fed back to the development team to fix bugs and improve code quality

[0116] like Figure 7 As shown in the figure, the real-time collaboration and communication platform based on ALM includes:

[0117] 1. Real-Time Collaboration Platform: A comprehensive platform that supports real-time collaboration and communication among teams.

[0118] 2. Text Communication: The platform supports instant messaging and discussion, making it convenient for team members to communicate quickly.

[0119] 3. Video Conferencing: Provides video conferencing function to support remote face-to-face communication and collaboration.

[0120] 4. File Sharing: Allows team members to share and manage files on the platform to support collaborative work.

[0121] 5.Task and Project Management: Integrated task and project management tools help teams track task progress and project status.

[0122] 6. Notification and Alerts: The system provides real-time notifications and alerts to remind team members of important updates and tasks.

[0123] 7. Integration with ALM System: The platform is integrated with the ALM system to ensure collaboration and communication directly supports project lifecycle management.

[0124] like Figure 8 As shown, ALM configuration management for complex automotive systems includes

[0125] 1. Configuration requirements collection:

[0126] Gather requirements information for different versions and configurations.

[0127] Determine system functional requirements, performance requirements, and other related requirements.

[0128] 2. Version Control:

[0129] Maintain different versions of system configuration files.

[0130] Track the change records of each version to ensure version consistency.

[0131] 3. Configuration Management:

[0132] Manage and update system configuration parameters.

[0133] Adjust the configuration file as needed and generate a new configuration version.

[0134] 4. Dependency Management:

[0135] Track dependencies between different configurations.

[0136] Ensure that configuration changes do not cause system integration conflicts.

[0137] 5. Compatibility check:

[0138] Check compatibility between different versions and configurations.

[0139] Automatically identify and resolve version conflicts and compatibility issues.

[0140] 6.Configure release:

[0141] Release validated versions of system configurations.

[0142] Ensure that released configurations meet project requirements and quality standards.

[0143] 7. Feedback and Improvement:

[0144] Collect feedback information during configuration usage.

[0145] Make necessary adjustments and optimizations based on feedback.

[0146] like Fig. 9 As shown in the figure, cross-domain problem tracking and management based on ALM includes:

[0147] 1. Problem reporting portal:

[0148] Receive problem reports from different areas (hardware, software, functional, non-functional).

[0149] Supports multiple problem reporting methods, including manual input and automatic generation.

[0150] 2. Question classification and labeling:

[0151] Categorize issues by areas, such as hardware issues, software issues, functional issues, and non-functional issues.

[0152] Each issue is marked with a priority and assessed for urgency.

[0153] 3. Issue tracking module:

[0154] Record the progress and status changes of the problem.

[0155] Provides real-time updates and history query of issue status.

[0156] 4. Problem analysis and diagnosis:

[0157] Perform detailed analysis of the problem to identify the root cause.

[0158] Provides solution suggestions and diagnostic reports.

[0159] 5. Problem Solution Library:

[0160] Store and manage solutions and best practices for resolved issues.

[0161] For team reference and reuse to speed up problem solving.

[0162] 6. Cross-domain coordination platform:

[0163] Support cross-team and cross-domain collaboration and information sharing.

[0164] Enable communication and collaboration between experts in different fields.

[0165] 7. Feedback and Improvement:

[0166] Collect feedback information obtained during the processing.

[0167] Optimize and improve the system based on feedback.

[0168] The integration of the ALM system in the present disclosure with the automobile development process realizes the full process integration from concept design, detailed design to manufacturing, testing, and verification, connects the data and information flow of each link, and avoids the problems of information islands and data inconsistency;

[0169] The automated collection and analysis of test data based on ALM realizes the automatic collection of various data generated during the development and testing process, and uses big data analysis technology to generate real-time quality reports to help project teams quickly identify and solve problems.

[0170] Intelligent generation and management of test cases enables automatic generation and updating of test cases through AI or machine learning technology, optimizes test coverage based on demand changes and historical test data, and reduces manual intervention.

[0171] ALM-based multi-project collaborative management supports the simultaneous management and resource allocation of multiple automotive development projects, realizes the management of cross-project dependencies and conflict resolution, and ensures coordination and resource sharing among projects.

[0172] Automated Regression Testing in ALM System An automated regression testing framework is designed to automatically perform regression testing after each system update or design change to ensure the consistency and stability of the system.

[0173] The real-time collaboration and communication platform based on ALM realizes the integration of a real-time collaboration platform in the ALM system, supports instant communication and collaboration between teams, and effectively solves the problem of poor information transmission across teams.

[0174] ALM configuration management adapted to complex automotive systems A configuration management tool specifically for complex automotive systems has been developed to automatically manage the dependencies of different versions and configurations to avoid conflicts and errors in system integration.

[0175] ALM-based cross-domain problem tracking and management provides problem tracking and management capabilities across hardware and software, functional and non-functional areas, ensuring that all problems can be effectively tracked and resolved throughout the entire development life cycle.

[0176] The above-mentioned embodiments only express several implementation methods of the present disclosure, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present disclosure. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present disclosure, and these all belong to the protection scope of the present disclosure.

Claims

1. An automobile development test management method based on the ALM system, characterized in that: The following steps are involved: Define the complete lifecycle model of the automotive development project in the ALM system, so that the ALM system can be seamlessly integrated with various development tools, simulation tools, and testing tools; Acquire test data from each test platform in real time and perform quality analysis to generate real-time quality reports; Acquire and analyze historical test data, generate test cases, and adjust test case coverage based on changes in requirements; Build a multi-project collaborative management module in the ALM system to unify the management of multiple development projects, build a resource scheduling algorithm, dynamically allocate development resources, and optimize the dependencies between projects; Build an automated regression testing framework and integrate it into the ALM system. Set up a trigger mechanism to automatically execute regression testing after each design change or update, and compare and analyze the results with historical data. Integrate a collaboration platform into the ALM system to support real-time communication via text, voice, and video; Develop configuration management tools to automatically track and manage different system versions and configurations, use dependency management algorithms to avoid conflicts in system integration, and ensure compatibility of different versions; Build a cross-domain problem management module to support problem recording and tracking in different fields, sort problem priorities and provide corresponding solutions.

2. The automobile development test management method based on the ALM system according to claim 1 is characterized in that: The complete life cycle model includes a requirements analysis phase, a design phase, an implementation phase, a testing phase and a verification phase.

3. The automobile development test management method based on the ALM system according to claim 1 is characterized in that: Acquire test data from each test platform in real time and perform quality analysis, generating real-time quality reports including: Collect and generate test data from different test platforms; Automatically collect test data from each test platform into the ALM system; Big data technology is used to process and analyze test data in the ALM system and generate quality reports for evaluation and decision-making.

4. The automobile development test management method based on the ALM system according to claim 1 is characterized in that: Acquire and analyze historical test data, generate test cases, and adjust test case coverage based on changing requirements, including: Acquire historical test data from a database storing basic data for providing generation and optimization of test cases; Analyze historical test data through artificial intelligence and machine learning technology, and automatically generate new test cases based on the analysis results to cover new or changed requirements; Optimize existing test cases to improve test coverage and efficiency and reduce redundant tests; Manage and organize all generated and optimized test cases to ensure version consistency and traceability; Manage test case versions, track test case changes and history; Stores and maintains all generated and optimized test cases.

5. The automobile development test management method based on the ALM system according to claim 1 is characterized in that: Build a multi-project collaborative management module in the ALM system to unify the management of multiple development projects, build a resource scheduling algorithm, dynamically allocate development resources, and optimize the dependencies between projects, including: Build a multi-project collaborative management module in the ALM system to manage the overall coordination of multiple projects and ensure resource allocation and task progress among projects; each project has an independent project management module to be responsible for project progress, task allocation and quality control management; Build a resource allocation module to dynamically allocate and schedule development resources based on the needs of each project; Build a dependency management module to manage the dependencies between multiple projects, identify the mutual impact and dependency chains between projects, and ensure project coordination and consistency; Build a conflict resolution module to handle and resolve resource conflicts and dependency conflicts between projects, and provide solutions and adjustment suggestions.

6. The automobile development test management method based on the ALM system according to claim 1 is characterized in that: Build an automated regression testing framework and integrate it into the ALM system. Set up a trigger mechanism to automatically execute regression testing after each design change or update. The results are compared with historical data for analysis, including: Build an automated regression testing framework and integrate it into the ALM system. Set up a trigger mechanism so that any code design change or update will trigger the regression testing process. Receive trigger events through the continuous integration server and start the automated testing process. The testing framework automatically performs various types of tests, including unit testing, integration testing, system testing, and user interface testing. After the automated testing is completed, the test results are collected and stored. The test results are analyzed through the analysis module to identify failed test cases and potential problems. A regression testing report is generated based on the analysis results, outlining the success and failure of the test, which is used to fix errors and improve the code.

7. The automobile development test management method based on the ALM system according to claim 1 is characterized in that: Integrate a collaborative platform into the ALM system to support real-time communication using text, voice, and video, including: Integrate a collaboration platform into the ALM system. The platform supports instant messaging, provides video conferencing functions, supports remote face-to-face communication and collaboration, and allows team members to share and manage files on the platform. Integrate task and project management tools into the ALM system to help the team track task progress and project status. Provide real-time notifications and alerts to remind team members of important updates and tasks.

8. The automobile development test management method based on the ALM system according to claim 1 is characterized in that: Develop configuration management tools to automatically track and manage different system versions and configurations, use dependency management algorithms to avoid conflicts in system integration, and ensure compatibility of different versions including: Collect requirement information for different versions and configurations, maintain different versions of system configuration files, track change records for each version, and ensure version consistency; manage and update system configuration parameters, adjust configuration files according to requirements, and generate new configuration versions; track dependencies between different configurations to ensure that configuration changes do not cause system integration conflicts; check compatibility between different versions and configurations, automatically identify and resolve version conflicts and compatibility issues; release verified system configuration versions to ensure that the released configuration meets project requirements and quality standards; collect feedback information during the use of the configuration, and make necessary adjustments and optimizations based on the feedback.

9. The automobile development test management method based on the ALM system according to claim 1, characterized in that: Build a cross-domain problem management module to support problem recording and tracking in different fields, sort the problem priorities and provide corresponding solutions including: Build a cross-domain problem management module to receive problem reports from different fields and support multiple problem reporting methods, including manual input and automatic generation; Categorize issues by area, assign priority and urgency rating to each issue; Record the problem handling progress and status changes, provide real-time update of problem status and historical record query; Conduct detailed analysis of problems, identify root causes, and provide solution recommendations and diagnostic reports; Store and manage solutions and best practices for resolved issues for team reference and reuse; Support cross-team and cross-domain collaboration and information sharing, and enable communication and collaborative work between experts in different fields; Collect feedback information obtained during the processing process and optimize and improve the system based on the feedback.

10. The automobile development test management method based on the ALM system according to claim 1, characterized in that: The fields include hardware field, software field, functional field and non-functional field.

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