Testing method and device based on cloud high-order component and medium

Abstract

The invention relates to the technical field of cloud high-order component testing, in particular to a testing method based on a cloud high-order component, and the method comprises the steps: S1, formulating a testing strategy; s2, building a test environment; s3, implementing an automatic test; s4, performance testing; s5, performing safety testing; s6, compiling a test report and a summary; s7, a cost optimization strategy; s8, version management and environment configuration; s9, testing an optimization strategy; and S10, continuously improving and maintaining. According to the method, the test data is automatically processed by formulating the test strategy, building the test environment and implementing the automatic test, the test efficiency is improved, the accuracy of the test data is improved through performance test, safety test, test report writing and summary, the unnecessary overhead is reduced through the cost optimization strategy, the test cost is reduced, and the test efficiency is improved. Through version management and environment configuration, a test optimization strategy and continuous improvement and maintenance, the performance and stability of the whole test platform are improved.

Description

Technical Field

[0001] The present invention relates to the field of cloud high-level component testing technology, and in particular to a cloud high-level component-based testing method, device and medium. Background Art

[0002] The concept of cloud high-order components can be compared to high-order components in React. In the field of cloud computing, high-order components refer to a design pattern or technical means used to encapsulate, enhance or modify the behavior of cloud service components without modifying the code of the original cloud service components. The testing method of cloud high-order components needs to ensure that the function, performance, stability and security of the components meet the design requirements. The testing methods include automated testing, simulation, load testing and security testing.

[0003] However, the current market's data testing completely relies on processors, which has low test efficiency, more human intervention, and is prone to human errors. The test process is more expensive than necessary, and resource utilization is unreasonable, resulting in high test costs, and the stability of the test process cannot be guaranteed. Therefore, those skilled in the art provide a test method, device, and medium based on cloud high-level components to solve the problems raised in the above background technology. Summary of the invention

[0004] The purpose of the present invention is to provide a cloud-based high-level component testing method, device and medium to solve the problems raised in the above-mentioned background technology.

[0005] To achieve the above purpose, the present invention provides the following technical solution: a testing method based on cloud high-level components, the steps are as follows:

[0006] S1. Develop test strategy: determine test objectives, determine test scope, select test type, and write test plan;

[0007] S2. Build the test environment: Use the cloud computing virtualization technology in the test environment construction module to build and configure the test environment;

[0008] S3. Implement automated testing: Use automated testing tools and methods to perform automated testing on cloud high-level components;

[0009] S4. Performance test: The performance test is performed through the automated test execution module. The contents are as follows:

[0010] S041. Select performance testing tools: used to simulate load and monitor component performance;

[0011] S042. Develop performance benchmarks: Develop performance benchmarks based on expected loads and test how components perform under different loads;

[0012] S043. Perform stress testing: simulate high-load scenarios to evaluate the reliability and stability of components under extreme conditions;

[0013] S044. Analyze performance data: monitor key performance indicators such as response time and throughput, and evaluate the performance of the system under high load;

[0014] S045. Design performance test cases: Create test scenarios under different load and stress conditions to ensure that components perform well under actual usage;

[0015] S046, Test execution and monitoring: Start the automated test execution module, execute the test script and monitor the test process in real time, use performance monitoring tools to collect system performance indicators and test data in real time, and promptly identify system bottlenecks and potential problems;

[0016] S047, Test result analysis: Analyze the test results in detail, evaluate the functions and performance of the software system, generate a test report based on the test results, and provide feedback on the test results and suggestions to the project team;

[0017] S5. Security testing: Use the security testing tools in the security testing module to scan vulnerabilities, conduct penetration testing, simulate hacker attacks, evaluate the system's security defense capabilities, use security scanning tools to find security vulnerabilities and improper configurations, fix security vulnerabilities based on test results, and strengthen the system's security protection measures, perform static analysis of source code, discover potential security risks, simulate attacker behavior, test system defense capabilities, and identify potential security risks;

[0018] S6. Write test report and summary: Write a detailed test report to summarize the test work, including test objectives, test scope, test methods, test results, problem records and solutions;

[0019] S7. Cost optimization strategy: Use the resource management tools of the cloud platform to monitor and optimize resource usage, monitor and manage resource usage, optimize resource allocation, use the on-demand payment model of cloud services to reduce unnecessary expenses, regularly audit and optimize the test environment configuration, ensure the rational use of resources, ensure that the configuration of the test environment is consistent with the production environment, and avoid resource waste;

[0020] S8. Version management and environment configuration:

[0021] Use version control: version control test cases, test scripts and components, manage changes between different versions, and version control test cases, scripts and components;

[0022] Consistency check: ensure the consistency between the test environment and the production environment;

[0023] Configuration management tools: Use configuration management tools to automate and manage environment configurations;

[0024] Record change history: track and record each change to facilitate subsequent testing and troubleshooting;

[0025] S9. Test optimization strategy: Use the performance and load testing module to implement the test optimization strategy, as follows:

[0026] S091. Load balancing: Use load balancing technology to dynamically allocate and manage virtual machine resources in the test environment, improve the performance and stability of the entire test platform, and avoid single points of failure and performance bottlenecks by reasonably allocating test tasks and resources;

[0027] S092, Monitoring and troubleshooting: Establish a monitoring mechanism to monitor the hardware and software status in the test environment in real time, promptly detect and handle abnormal situations, implement a troubleshooting mechanism to record and analyze faults in the test environment, and provide rapid fault location and repair solutions;

[0028] S093. Automated test optimization: Continuously optimize automated test scripts and test processes to improve test efficiency and accuracy, and use AI-assisted testing and intelligent test analysis to improve test results;

[0029] S094, Performance test optimization: Optimize the bottleneck problems in performance testing, improve system performance by adjusting system configuration, optimizing code structure, improving algorithms, etc., and use performance testing tools to perform stress testing and stability testing to ensure that the system can still run stably under high load;

[0030] S10. Continuous improvement and maintenance: Update test cases according to system changes and new functions, maintain the effectiveness of testing, continuously optimize testing processes and tools, improve testing efficiency and accuracy, conduct regular training for the testing team, identify improvement opportunities and make adjustments.

[0031] As a further solution of the present invention: the test objectives in S1 include functional verification, performance evaluation and security check, the test scope includes interface, data flow and user interaction, the test types include unit test, integration test, system test and acceptance test, and the test plan includes test type, test scope, test frequency, execution timing and required resources, and time schedule.

[0032] As a further solution of the present invention: the test environment in S2 includes a cloud platform;

[0033] Create a virtual machine: ensure sufficient computing resources, storage resources, and network resources;

[0034] Install necessary software and tools: such as automated testing framework, performance testing tools, and security testing tools;

[0035] Configure network and security settings: Ensure that the test environment is isolated from the production environment to prevent data leakage and attacks.

[0036] As a further solution of the present invention: the content of the automated test in S3 also includes:

[0037] S031. Select automated testing tools: Select tools based on requirements;

[0038] S032. Write automated test scripts: Write automated test scripts according to test requirements, and use the script library and templates provided by the automated test tool to write test cases covering various test scenarios;

[0039] S033. Test task allocation: Use the distributed test scheduling module to allocate test tasks to multiple cloud nodes for parallel execution. According to the characteristics of the test tasks and the load of the cloud nodes, dynamically adjust the task allocation strategy to optimize the test efficiency;

[0040] S034. Integrate into CI / CD process: Use the continuous integration and continuous delivery module to incorporate automated testing into the CI / CD process to ensure that every code change is verified by automated testing.

[0041] As a further solution of the present invention: the content of optimizing resource allocation in S7 is as follows:

[0042] S071. Optimize the test environment: Rationally utilize the elastic resources of the cloud platform, dynamically adjust resource allocation according to test requirements, and use containerization technology and orchestration tools to simplify the construction and management of the test environment;

[0043] S072. Improve test efficiency: give priority to automated testing, reduce the workload of manual testing, and use parallel testing and distributed testing technologies to shorten the test cycle;

[0044] S073. Risk-based testing: Identify key functions and potential risk points, test these parts first, and use the 80 / 20 principle to focus resources on testing the most important 20% of test cases to cover 80% of risks.

[0045] S074. Optimize testing tools: Select open source testing tools, reduce tool costs, regularly evaluate the performance and efficiency of testing tools, and replace inefficient tools in a timely manner;

[0046] S075. Strengthen team collaboration and knowledge sharing: Encourage knowledge sharing and experience exchange among team members, provide internal training and online learning resources, and improve the skill level of testers;

[0047] S076. Outsourced testing services: In the case of insufficient internal resources or professional skills, you can consider outsourcing testing services and choose a testing service provider with rich experience and professional skills to ensure testing quality and efficiency.

[0048] Device for testing method based on cloud high-level component: including:

[0049] Test environment building module: used to build and configure the test environment according to test requirements;

[0050] Automated test execution module: used to integrate multiple automated test tools and support the writing, execution and result analysis of test cases;

[0051] Distributed test scheduling module: used to distribute test tasks to multiple cloud nodes for parallel execution. This module should have an intelligent scheduling algorithm to dynamically adjust the task allocation strategy according to the characteristics of the test tasks and the load of the cloud nodes to optimize the test efficiency;

[0052] Performance and load testing module: used to provide performance testing and load testing tools, support simulation of a large number of users and traffic, and evaluate the performance of applications under different loads. This module should have real-time monitoring and data analysis functions to promptly identify system bottlenecks and potential problems;

[0053] Security testing module: simulates various network attacks and security vulnerabilities to help the team discover and fix potential security issues. This module should have a rich attack scenario library and vulnerability scanning tools to fully cover common security threats;

[0054] Monitoring tools: Deploy monitoring tools to monitor system performance and resource usage in real time;

[0055] Continuous Integration and Continuous Delivery Module: Seamlessly integrated with the CI / CD process, supporting rapid building, testing, and deployment of applications. This module should have automated building and deployment tools that can automatically trigger test tasks and provide real-time feedback on test results.

[0056] Cloud high-level component-based medium: The computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are used to execute the cloud high-level component-based testing method.

[0057] Compared with the prior art, the present invention has the following beneficial effects:

[0058] 1. The cloud high-level component-based testing method of the present invention automatically processes test data by formulating test strategies, building test environments, and implementing automated testing, thereby reducing human intervention, improving test efficiency, and reducing human errors;

[0059] 2. Improve the accuracy of test data through performance testing, safety testing, writing test reports and summaries;

[0060] 3. Through cost optimization strategies, reduce unnecessary expenses, ensure the rational use of resources, ensure that the configuration of the test environment is consistent with the production environment, avoid waste of resources, and reduce testing costs;

[0061] 4. Improve the performance and stability of the entire test platform, improve test results, and improve test efficiency and accuracy through version management and environment configuration, test optimization strategies, continuous improvement and maintenance. DETAILED DESCRIPTION

[0062] Example

[0063] The test method based on cloud high-level components is as follows:

[0064] S1. Formulate test strategy: determine test objectives, determine test scope, select test type, and write test plan. Test objectives include functional verification, performance evaluation, and security check. Test scope includes interface, data flow, and user interaction. Test types include unit test, integration test, system test, and acceptance test. Test plan includes test type, test scope, test frequency, execution time, required resources, and time arrangement.

[0065] S2. Build the test environment: Use the cloud computing virtualization technology in the test environment building module to build and configure the test environment. The test environment includes cloud platforms such as AWS, Azure, and GCP.

[0066] Create a virtual machine: ensure sufficient computing resources, storage resources, and network resources;

[0067] Install necessary software and tools: such as automated testing framework, performance testing tools, and security testing tools;

[0068] Configure network and security settings: Ensure that the test environment is isolated from the production environment to prevent data leakage and attacks;

[0069] S3. Implement automated testing: Use automated testing tools and methods to automate testing of cloud high-level components to improve testing efficiency and reduce human errors. Automated testing also includes:

[0070] S031. Choose automated testing tools: Select tools based on requirements, such as Selenium for interface testing, JUnit for unit testing, and JMeter for performance testing;

[0071] S032. Write automated test scripts: Write automated test scripts according to test requirements, use the script library and templates provided by the automated test tool to write test cases covering various test scenarios, and automate to reduce manual operations and improve efficiency;

[0072] S033. Test task allocation: Use the distributed test scheduling module to allocate test tasks to multiple cloud nodes for parallel execution. According to the characteristics of the test tasks and the load of the cloud nodes, dynamically adjust the task allocation strategy to optimize the test efficiency;

[0073] S034. Integrate into CI / CD process: Use the continuous integration and continuous delivery module to incorporate automated testing into the CI / CD process to ensure that every code change is verified by automated testing;

[0074] S4. Performance test: The performance test is performed through the automated test execution module. The contents are as follows:

[0075] S041. Choose performance testing tools: Use tools such as Apache JMeter, Gatling, or Locust to simulate load and monitor component performance;

[0076] S042. Develop performance benchmarks: Develop performance benchmarks based on expected loads and test how components perform under different loads;

[0077] S043. Perform stress testing: simulate high-load scenarios to evaluate the reliability and stability of components under extreme conditions;

[0078] S044. Analyze performance data: monitor key performance indicators such as response time and throughput, and evaluate the performance of the system under high load;

[0079] S045. Design performance test cases: Create test scenarios under different load and stress conditions to ensure that components perform well under actual usage;

[0080] S046, Test execution and monitoring: Start the automated test execution module, execute the test script and monitor the test process in real time, use performance monitoring tools to collect system performance indicators and test data in real time, and promptly identify system bottlenecks and potential problems;

[0081] S047, Test result analysis: Analyze the test results in detail, evaluate the functions and performance of the software system, generate a test report based on the test results, and provide feedback on the test results and suggestions to the project team;

[0082] S5. Security testing: Use the security testing tools in the security testing module to scan for vulnerabilities. Security testing tools such as OWASP Zap and Nessus are used to conduct penetration testing, simulate hacker attacks, and evaluate the security defense capabilities of the system. Security scanning tools are used to find security vulnerabilities and improper configurations. Security scanning tools such as OWASP Zap and Nessus are used to fix security vulnerabilities based on the test results and strengthen the security protection measures of the system. Static analysis of the source code is performed to discover potential security risks, simulate attacker behavior, test the system defense capabilities, and identify potential security risks.

[0083] S6. Write test report and summary: Write a detailed test report to summarize the test work, including test objectives, test scope, test methods, test results, problem records and solutions;

[0084] S7. Cost optimization strategy: Use the resource management tools of the cloud platform to monitor and optimize resource usage, monitor and manage resource usage, optimize resource allocation, resource management tools: such as AWS CloudWatch, Azure Monitor, use the on-demand payment model of cloud services, reduce unnecessary expenses, regularly audit and optimize the test environment configuration, ensure the rational use of resources, ensure that the configuration of the test environment is consistent with the production environment, avoid resource waste, and optimize resource allocation as follows:

[0085] S071. Optimize the test environment: Rationally utilize the elastic resources of the cloud platform, dynamically adjust resource allocation according to test requirements, and use containerization technology and orchestration tools to simplify the construction and management of the test environment. Containerization technology: such as Docker, orchestration tools: such as Kubernetes;

[0086] S072. Improve test efficiency: give priority to automated testing, reduce the workload of manual testing, and use parallel testing and distributed testing technologies to shorten the test cycle;

[0087] S073. Risk-based testing: Identify key functions and potential risk points, test these parts first, and use the 80 / 20 principle to focus resources on testing the most important 20% of test cases to cover 80% of risks.

[0088] S074. Optimize testing tools: Select open source testing tools, reduce tool costs, regularly evaluate the performance and efficiency of testing tools, and replace inefficient tools in a timely manner;

[0089] S075. Strengthen team collaboration and knowledge sharing: Encourage knowledge sharing and experience exchange among team members, provide internal training and online learning resources, and improve the skill level of testers;

[0090] S076. Outsourcing testing services: If there are insufficient internal resources or professional skills, you can consider outsourcing testing services and choose a testing service provider with rich experience and professional skills to ensure testing quality and efficiency;

[0091] S8. Version management and environment configuration:

[0092] Use version control: version control test cases, test scripts and components, manage changes between different versions, and version control test cases, scripts and components;

[0093] Consistency check: ensure the consistency between the test environment and the production environment;

[0094] Configuration management tools: Use configuration management tools to automate and manage environment configurations, such as Ansible and Terraform;

[0095] Record change history: track and record each change to facilitate subsequent testing and troubleshooting;

[0096] S9. Test optimization strategy: Use the performance and load testing module to implement the test optimization strategy, as follows:

[0097] S091. Load balancing: Use load balancing technology to dynamically allocate and manage virtual machine resources in the test environment, improve the performance and stability of the entire test platform, and avoid single points of failure and performance bottlenecks by reasonably allocating test tasks and resources;

[0098] S092, Monitoring and troubleshooting: Establish a monitoring mechanism to monitor the hardware and software status in the test environment in real time, promptly detect and handle abnormal situations, implement a troubleshooting mechanism to record and analyze faults in the test environment, and provide rapid fault location and repair solutions;

[0099] S093. Automated test optimization: Continuously optimize automated test scripts and test processes to improve test efficiency and accuracy, and use AI-assisted testing and intelligent test analysis to improve test results;

[0100] S094, Performance test optimization: Optimize the bottleneck problems in performance testing, improve system performance by adjusting system configuration, optimizing code structure, improving algorithms, etc., and use performance testing tools to perform stress testing and stability testing to ensure that the system can still run stably under high load;

[0101] S10. Continuous improvement and maintenance: Update test cases according to system changes and new functions, maintain the effectiveness of testing, continuously optimize testing processes and tools, improve testing efficiency and accuracy, conduct regular training for the testing team, identify improvement opportunities and make adjustments.

[0102] A device for testing a cloud high-level component-based method, comprising:

[0103] Test environment building module: used to build and configure the test environment according to test requirements;

[0104] Automated test execution module: used to integrate multiple automated test tools and support the writing, execution and result analysis of test cases;

[0105] Distributed test scheduling module: used to distribute test tasks to multiple cloud nodes for parallel execution. This module should have an intelligent scheduling algorithm to dynamically adjust the task allocation strategy according to the characteristics of the test tasks and the load of the cloud nodes to optimize the test efficiency;

[0106] Performance and load testing module: used to provide performance testing and load testing tools, support simulation of a large number of users and traffic, and evaluate the performance of applications under different loads. This module should have real-time monitoring and data analysis functions to promptly identify system bottlenecks and potential problems;

[0107] Security testing module: simulates various network attacks and security vulnerabilities to help the team discover and fix potential security issues. This module should have a rich attack scenario library and vulnerability scanning tools to fully cover common security threats;

[0108] Monitoring tools: Deploy monitoring tools to monitor system performance and resource usage in real time;

[0109] Continuous Integration and Continuous Delivery Module: Seamlessly integrated with the CI / CD process, supporting rapid building, testing, and deployment of applications. This module should have automated building and deployment tools that can automatically trigger test tasks and provide real-time feedback on test results.

[0110] The medium based on the cloud high-order component is a computer-readable storage medium storing computer-executable instructions, and the computer-executable instructions are used to execute the testing method based on the cloud high-order component.

[0111] What is described above is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A cloud-based high-level component testing method, characterized in that: Here are the steps: S1. Develop test strategy: determine test objectives, determine test scope, select test type, and write test plan; S2. Build the test environment: Use the cloud computing virtualization technology in the test environment construction module to build and configure the test environment; S3. Implement automated testing: Use automated testing tools and methods to perform automated testing on cloud high-level components; S4. Performance test: The performance test is performed through the automated test execution module. The contents are as follows: S041. Select performance testing tools: used to simulate load and monitor component performance; S042. Develop performance benchmarks: Develop performance benchmarks based on expected loads and test how components perform under different loads; S043. Perform stress testing: simulate high-load scenarios to evaluate the reliability and stability of components under extreme conditions; S044. Analyze performance data: monitor key performance indicators such as response time and throughput, and evaluate the performance of the system under high load; S045. Design performance test cases: Create test scenarios under different load and stress conditions to ensure that components perform well under actual usage; S046, Test execution and monitoring: Start the automated test execution module, execute the test script and monitor the test process in real time, use performance monitoring tools to collect system performance indicators and test data in real time, and promptly identify system bottlenecks and potential problems; S047, Test result analysis: Analyze the test results in detail, evaluate the functions and performance of the software system, generate a test report based on the test results, and provide feedback on the test results and suggestions to the project team; S5. Security testing: Use the security testing tools in the security testing module to scan vulnerabilities, conduct penetration testing, simulate hacker attacks, evaluate the system's security defense capabilities, use security scanning tools to find security vulnerabilities and improper configurations, fix security vulnerabilities based on test results, and strengthen the system's security protection measures, perform static analysis of source code, discover potential security risks, simulate attacker behavior, test system defense capabilities, and identify potential security risks; S6. Write test report and summary: Write a detailed test report to summarize the test work, including test objectives, test scope, test methods, test results, problem records and solutions; S7. Cost optimization strategy: Use the resource management tools of the cloud platform to monitor and optimize resource usage, monitor and manage resource usage, optimize resource allocation, use the on-demand payment model of cloud services to reduce unnecessary expenses, regularly audit and optimize the test environment configuration, ensure the rational use of resources, ensure that the configuration of the test environment is consistent with the production environment, and avoid resource waste; S8. Version management and environment configuration: Use version control: version control test cases, test scripts and components, manage changes between different versions, and version control test cases, scripts and components; Consistency check: ensure the consistency between the test environment and the production environment; Configuration management tools: Use configuration management tools to automate and manage environment configurations; Record change history: track and record each change to facilitate subsequent testing and troubleshooting; S9. Test optimization strategy: Use the performance and load testing module to implement the test optimization strategy, as follows: S091. Load balancing: Use load balancing technology to dynamically allocate and manage virtual machine resources in the test environment, improve the performance and stability of the entire test platform, and avoid single points of failure and performance bottlenecks by reasonably allocating test tasks and resources; S092, Monitoring and troubleshooting: Establish a monitoring mechanism to monitor the hardware and software status in the test environment in real time, promptly detect and handle abnormal situations, implement a troubleshooting mechanism to record and analyze faults in the test environment, and provide rapid fault location and repair solutions; S093. Automated test optimization: Continuously optimize automated test scripts and test processes to improve test efficiency and accuracy, and use AI-assisted testing and intelligent test analysis to improve test results; S094, Performance test optimization: Optimize the bottleneck problems in performance testing, improve system performance by adjusting system configuration, optimizing code structure, improving algorithms, etc., and use performance testing tools to perform stress testing and stability testing to ensure that the system can still run stably under high load; S10. Continuous improvement and maintenance: Update test cases according to system changes and new functions, maintain the effectiveness of testing, continuously optimize testing processes and tools, improve testing efficiency and accuracy, conduct regular training for the testing team, identify improvement opportunities and make adjustments.

2. The cloud-based high-level component testing method according to claim 1, characterized in that: The test objectives in S1 include functional verification, performance evaluation and security check; the test scope includes interface, data flow and user interaction; the test types include unit test, integration test, system test and acceptance test; the test plan includes test type, test scope, test frequency, execution timing and required resources, and time schedule.

3. The cloud-based high-level component testing method according to claim 1, characterized in that: The test environment in S2 includes a cloud platform; Create a virtual machine: ensure sufficient computing resources, storage resources, and network resources; Install necessary software and tools: such as automated testing framework, performance testing tools, and security testing tools; Configure network and security settings: Ensure that the test environment is isolated from the production environment to prevent data leakage and attacks.

4. The cloud-based high-level component testing method according to claim 1, characterized in that: The automated testing in S3 also includes: S031. Select automated testing tools: Select tools based on requirements; S032. Write automated test scripts: Write automated test scripts according to test requirements, and use the script library and templates provided by the automated test tool to write test cases covering various test scenarios; S033. Test task allocation: Use the distributed test scheduling module to allocate test tasks to multiple cloud nodes for parallel execution. According to the characteristics of the test tasks and the load of the cloud nodes, dynamically adjust the task allocation strategy to optimize the test efficiency; S034. Integrate into CI / CD process: Use the continuous integration and continuous delivery module to incorporate automated testing into the CI / CD process to ensure that every code change is verified by automated testing.

5. The cloud-based high-level component testing method according to claim 1, characterized in that: The content of optimizing resource configuration in S7 is as follows: S071. Optimize the test environment: Rationally utilize the elastic resources of the cloud platform, dynamically adjust resource allocation according to test requirements, and use containerization technology and orchestration tools to simplify the construction and management of the test environment; S072. Improve test efficiency: give priority to automated testing, reduce the workload of manual testing, and use parallel testing and distributed testing technologies to shorten the test cycle; S073. Risk-based testing: Identify key functions and potential risk points, test these parts first, and use the 80 / 20 principle to focus resources on testing the most important 20% of test cases to cover 80% of risks. S074. Optimize testing tools: Select open source testing tools, reduce tool costs, regularly evaluate the performance and efficiency of testing tools, and replace inefficient tools in a timely manner; S075. Strengthen team collaboration and knowledge sharing: Encourage knowledge sharing and experience exchange among team members, provide internal training and online learning resources, and improve the skill level of testers; S076. Outsourced testing services: In the case of insufficient internal resources or professional skills, you can consider outsourcing testing services and choose a testing service provider with rich experience and professional skills to ensure testing quality and efficiency.

6. A device for implementing the cloud high-level component testing method according to any one of claims 1 to 5, characterized in that: include: Test environment building module: used to build and configure the test environment according to test requirements; Automated test execution module: used to integrate multiple automated test tools and support the writing, execution and result analysis of test cases; Distributed test scheduling module: used to distribute test tasks to multiple cloud nodes for parallel execution. This module should have an intelligent scheduling algorithm to dynamically adjust the task allocation strategy according to the characteristics of the test tasks and the load of the cloud nodes to optimize the test efficiency; Performance and load testing module: used to provide performance testing and load testing tools, support simulation of a large number of users and traffic, and evaluate the performance of applications under different loads. This module should have real-time monitoring and data analysis functions to promptly identify system bottlenecks and potential problems; Security testing module: simulates various network attacks and security vulnerabilities to help the team discover and fix potential security issues. This module should have a rich attack scenario library and vulnerability scanning tools to fully cover common security threats; Monitoring tools: Deploy monitoring tools to monitor system performance and resource usage in real time; Continuous Integration and Continuous Delivery Module: Seamlessly integrated with the CI / CD process, supporting rapid building, testing, and deployment of applications. This module should have automated building and deployment tools that can automatically trigger test tasks and provide real-time feedback on test results.

7. A cloud-based high-level component medium, characterized in that: The medium stores computer-executable instructions, and the computer-executable instructions are used to execute the cloud high-level component testing method described in any one of claims 1-5.