CN-122019378-A - Stability testing method, device and equipment for intelligent cabin and storage medium

CN122019378ACN 122019378 ACN122019378 ACN 122019378ACN-122019378-A

Abstract

The application discloses a stability test method, device, equipment and storage medium of an intelligent cabin, which relate to the technical field of vehicle tests and comprise the steps of obtaining test requirement data, version management data, hardware configuration information and historical defect data of an intelligent cabin project to be tested, carrying out project feature analysis according to the test requirement data, the version management data, the hardware configuration information and the historical defect data to obtain project feature information, carrying out project type judgment according to the project feature information to obtain a target project type, generating a stability test strategy corresponding to the target project type according to the target project type to obtain a target stability test strategy, carrying out automatic stability test according to the target stability test strategy and collecting test process data, and carrying out quantitative analysis according to the test process data to obtain a stability test result. By applying the technical scheme of the application, the test efficiency and the problem detection rate can be improved.

Inventors

ZHANG QIYU
WANG ZHE
ZHANG YUZHU
PAN TAO
QIU WENSHENG
XIONG JIXIAN

Assignees

上汽通用五菱汽车股份有限公司

Dates

Publication Date: 20260512
Application Date: 20260127

Claims (10)

1. A method for testing the stability of an intelligent cockpit, the method comprising: acquiring test demand data, version management data, hardware configuration information and historical defect data of an intelligent cabin project to be tested; Performing project characteristic analysis according to the test demand data, the version management data, the hardware configuration information and the historical defect data to obtain project characteristic information; Judging the item type according to the item characteristic information to obtain a target item type; Generating a stability test strategy corresponding to the target item type according to the target item type to obtain a target stability test strategy; carrying out automatic stability test according to the target stability test strategy and collecting test process data; And carrying out quantitative analysis according to the test process data to obtain a stability test result.
2. The method of claim 1, wherein the step of performing project feature analysis based on the test requirement data, the version management data, the hardware configuration information, and the historical defect data to obtain project feature information comprises: extracting version iteration period and code change scale information from the version management data; extracting hardware version identification information from the hardware configuration information; Counting historical defect occurrence frequency information and defect grade distribution information from the historical defect data; And carrying out project characteristic analysis on the version iteration period, the code change scale information, the hardware version identification information, the historical defect occurrence frequency information and the defect level distribution information to obtain project characteristic information.
3. The method of claim 1, wherein the step of determining the item type based on the item characteristic information to obtain the target item type comprises: Acquiring a first iteration period duration, a first defect occurrence rate threshold, a second iteration period duration and a second defect occurrence rate threshold, wherein the first iteration period duration is longer than the second iteration period duration, and the first defect occurrence rate threshold is smaller than the second defect occurrence rate threshold; When the item characteristic information meets the condition that the version iteration period is greater than or equal to the first iteration period duration, the hardware version identification information is unchanged, the code change scale information is functional change, and the defect occurrence rate of the historical defect occurrence frequency information or the defect level distribution information is less than or equal to at least one of the first defect occurrence rate threshold, determining that the target item type is an iteration item; And when the item characteristic information meets at least one of the hardware version identification information is version change, the version iteration period is smaller than the second iteration period duration, and the defect occurrence rate of the historical defect occurrence frequency information or the defect level distribution information is larger than a second defect occurrence rate threshold value, determining that the target item type is a brand new item.
4. The method of claim 1, wherein the step of generating a stability test policy corresponding to the target item type from the target item type, the step of obtaining a target stability test policy comprising: when the target item type is an iteration item, determining a focusing type stability test strategy as a target stability test strategy, wherein the focusing type stability test strategy comprises a function test, a change point function pressure test and a black screen test; And when the target item type is a brand new item, determining a comprehensive stability test strategy as a target stability test strategy, wherein the comprehensive stability test strategy comprises a test module combination of a full-function pressure test, an average fault-free time test, a random event test, a full-special test and a resource monitoring test.
5. The method of claim 1, wherein the step of performing an automated stability test and collecting test procedure data according to the target stability test strategy comprises: loading corresponding testing steps from a preset case library according to the target stability testing strategy to generate a testable script; Carrying out automatic stability test according to the testable script, and collecting system log data, memory resource occupation data, function operation result data and abnormal event data in the automatic stability test; And determining test process data according to the system log data, the memory resource occupation data, the function operation result data and the abnormal event data.
6. The method of claim 1, wherein the step of performing a quantitative analysis based on the test process data to obtain a stability test result comprises: Calculating a test quantization index according to the test process data, wherein the test quantization index comprises a function passing rate, a black screen occurrence rate, an average fault-free time, a random event collapse rate and an average resource occupancy rate; when the test quantization indexes all meet the corresponding threshold requirements, determining that the stability test result is up to the test standard; and when the test quantization index does not meet the requirement of the corresponding threshold value, determining that the stability test result is the test which does not reach the standard.
7. The method of claim 1, wherein after the step of performing a quantitative analysis based on the test process data to obtain a stability test result, further comprising: Generating a standard test report when the stability test result is that the test meets the standard, wherein the standard test report comprises a test quantization index trend graph and a data distribution condition; When the stability test result is that the test does not reach the standard, generating a root cause analysis report, wherein the root cause analysis report comprises test process data before and after the associated abnormal time stamp; comparing and analyzing the stability test result with the historical test result to obtain the fluctuation condition of the test quantization index; Generating a test optimization suggestion according to the fluctuation condition and the standard test report or the root cause analysis report, and adjusting a stability test strategy according to the test optimization suggestion.
8. A stability testing device for an intelligent cockpit, the device comprising: The data acquisition module is used for acquiring test demand data, version management data, hardware configuration information and historical defect data of the intelligent cabin project to be tested; The project characteristic analysis module is used for carrying out project characteristic analysis according to the test demand data, the version management data, the hardware configuration information and the historical defect data to obtain project characteristic information; the item type judging module is used for judging the item type according to the item characteristic information to obtain a target item type; the strategy determining module is used for generating a stability testing strategy corresponding to the target item type according to the target item type to obtain a target stability testing strategy; The stability testing module is used for carrying out automatic stability testing according to the target stability testing strategy and collecting testing process data; And the quantitative analysis module is used for carrying out quantitative analysis according to the test process data to obtain a stability test result.
9. A stability testing device for a smart capsule, characterized in that the device comprises a memory, a processor and a computer program stored on the memory and executable on the processor, the computer program being configured to implement the steps of the stability testing method for a smart capsule according to any one of claims 1 to 7.
10. A storage medium, characterized in that the storage medium is a computer-readable storage medium, on which a computer program is stored, which computer program, when being executed by a processor, carries out the steps of the method for testing the stability of a smart capsule according to any one of claims 1 to 7.

Description

Stability testing method, device and equipment for intelligent cabin and storage medium Technical Field The application relates to the technical field of vehicle testing, in particular to a stability testing method, device and equipment for an intelligent cabin and a storage medium. Background Along with the continuous promotion of the level of the intellectualization and the networking of automobiles, the intelligent cabin has evolved from a traditional information display unit to a highly integrated software intensive electronic system, and is widely used for carrying various functions such as information entertainment, navigation, voice interaction, instrument display, driver monitoring and the like. The software scale is continuously enlarged, the functional coupling degree is continuously deepened, and the running stability of the system becomes a key factor affecting the safety, the reliability and the user experience of the whole vehicle. Under the technical background, the conventional intelligent cabin stability test usually adopts a fixed test strategy to perform work, namely, uniform test contents and test strength are performed no matter what the project change scale, software and hardware differences or historical quality level are, or the test range is manually judged according to the experience of a tester. The method ensures safety through full-scale and long-period testing, or achieves a certain degree of efficiency improvement on an automatic performance level, but the testing strategy lacks objective corresponding relation with project risk characteristics, and test resource investment cannot be reasonably distinguished according to actual risk levels of different projects, so that test resource waste or insufficient exposure of stability risks is caused. The foregoing is provided merely for the purpose of facilitating understanding of the technical solutions of the present application and is not intended to represent an admission that the foregoing is prior art. Disclosure of Invention The application mainly aims to provide a stability testing method, device and equipment for an intelligent cabin and a storage medium, and aims to solve the technical problems that in the stability testing process of the intelligent cabin, the input of testing resources is not matched with the actual stability risk, and the quality is difficult to be ensured while the testing efficiency and the reliability are simultaneously considered. In order to achieve the above purpose, the present application provides a method for testing stability of an intelligent cabin, the method comprising: acquiring test demand data, version management data, hardware configuration information and historical defect data of an intelligent cabin project to be tested; Performing project characteristic analysis according to the test demand data, the version management data, the hardware configuration information and the historical defect data to obtain project characteristic information; Judging the item type according to the item characteristic information to obtain a target item type; Generating a stability test strategy corresponding to the target item type according to the target item type to obtain a target stability test strategy; carrying out automatic stability test according to the target stability test strategy and collecting test process data; And carrying out quantitative analysis according to the test process data to obtain a stability test result. In an embodiment, the step of performing project feature analysis according to the test requirement data, the version management data, the hardware configuration information and the historical defect data to obtain project feature information includes: extracting version iteration period and code change scale information from the version management data; extracting hardware version identification information from the hardware configuration information; Counting historical defect occurrence frequency information and defect grade distribution information from the historical defect data; And carrying out project characteristic analysis on the version iteration period, the code change scale information, the hardware version identification information, the historical defect occurrence frequency information and the defect level distribution information to obtain project characteristic information. In one embodiment, the step of determining the item type according to the item feature information to obtain the target item type includes: Acquiring a first iteration period duration, a first defect occurrence rate threshold, a second iteration period duration and a second defect occurrence rate threshold, wherein the first iteration period duration is longer than the second iteration period duration, and the first defect occurrence rate threshold is smaller than the second defect occurrence rate threshold; When the item characteristic information meets the condition that the version ite