CN115114152A - Automatic testing method and system based on control attribute and image recognition, electronic equipment and storage medium - Google Patents
Automatic testing method and system based on control attribute and image recognition, electronic equipment and storage medium Download PDFInfo
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- 238000012544 monitoring process Methods 0.000 claims abstract description 15
- 238000004590 computer program Methods 0.000 claims description 11
- 238000004088 simulation Methods 0.000 claims description 4
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- G06F11/36—Preventing errors by testing or debugging software
- G06F11/3668—Software testing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/36—Preventing errors by testing or debugging software
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- G06F11/3684—Test management for test design, e.g. generating new test cases
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- G—PHYSICS
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- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
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Abstract
The invention provides an automatic testing method and system based on control attribute and image recognition, electronic equipment and a storage medium, and relates to the field of automobiles. The method comprises the following steps: the method has the advantages that the control element positioning mode combining control attribute and image recognition is adopted, the positioning precision and the positioning speed of the control element in the vehicle control function CAN be effectively improved, the state recognition is realized, meanwhile, a test program and a visual test panel which have the relevant functions of element positioning, simulated clicking, element state recognition, CAN signal monitoring, test report generation and the like are built, an automatic test link from the simulated manual clicking of the control element to the final generation of the test report is opened, the full-process monitoring of CAN signal communication is realized, the test process is effectively optimized, and the test efficiency is improved.
Description
Technical Field
The invention belongs to the field of automobiles, and particularly relates to an automatic testing method and system based on control attributes and image recognition, electronic equipment and a storage medium.
Background
The vehicle control function refers to software for setting various vehicle functions such as vehicle wipers, rearview mirrors, tail gates, acoustooptic functions, driving modes, instrument display modes and the like in the display equipment of the automobile cabin. The vehicle control function relates to CAN signal communication between a vehicle cabin display device and a plurality of vehicle function modules such as a vehicle body controller, an instrument panel and a wireless gateway, so that the stability of the function is highly associated with the driving safety of passengers and the vehicle experience, and the function is a key test object in a vehicle component test link.
The existing test method for the vehicle control function has the problems of single control element positioning method, difficult control element state identification, complex test flow and the like, has high requirements on testers and insufficient automation degree, and urgently needs an accurate and effective automatic test method for realizing the vehicle control function test.
CN110308346A discloses a software testing method based on image recognition, which identifies control elements in an interface of an application to be tested through an image, determines whether the control elements are matched, and further performs operation control on the matched control elements. The technology only adopts image recognition as a single control element positioning method, and if the same or similar control elements exist in an application program interface, the problem that the identification precision of the control elements is reduced, so that the identification is failed occurs.
CN108509342A discloses an accurate and fast App automatic testing method, which can complete accurate positioning of control elements in a screen through three mechanisms, i.e., control/OCR/image recognition and the like.
The technology realizes the accurate positioning of screen control elements through three mechanisms of controls/OCR/image recognition. This technique merely relates to how the positioning of screen elements is achieved.
Disclosure of Invention
In order to solve the technical problems, the invention provides an automatic testing method and system based on control attributes and image recognition, an electronic device and a storage medium, so as to solve the technical problems.
The invention discloses an automatic testing method based on control attributes and image recognition in a first aspect, which comprises the following steps:
s1, acquiring a picture model displayed by a vehicle control function in the automobile cabin display equipment, and analyzing the picture model to acquire control element attributes displayed in a picture; the method comprises the following steps of (1) capturing a screen of a picture, and capturing an identifiable image of a control element from the captured picture;
s2, aiming at the control element needing to be tested in the test content, selecting strategies for positioning the control element and judging the state of the control element according to the control element attribute and the image;
s3, selecting the control element to be tested according to the vehicle control function test content to be tested, and designing the related test case of the control element according to the actual test requirement;
step S4, compiling command programs of searching and positioning, simulated clicking, clicking state identification, CAN signal monitoring and test report generation of the control elements according to the positioning control elements, the strategy for judging the state of the control elements and the test cases;
and step S5, operating the instruction program, completing the searching and positioning of the element of the tested element and the simulated clicking operation in the vehicle control function of the display equipment of the automobile cabin, matching the recognized control element state with the signal value obtained by monitoring the CAN signal, automatically judging whether the matched condition meets the expected value in the test case or not, and finally generating a corresponding test report.
According to the method of the first aspect of the present invention, in said step S1, said control element attributes include name, position, size and text.
According to the method of the first aspect of the present invention, in the step S2, the method for positioning the control element according to the control element attribute comprises:
and for the control elements with the same or similar appearances in the interface, positioning the control elements by adopting the control element attributes.
According to the method of the first aspect of the present invention, in the step S2, the method of positioning a control element according to an image includes:
and for the control elements with the same control element attribute, positioning the control elements by utilizing image recognition.
According to the method of the first aspect of the present invention, in step S2, the method for determining the state of the control element according to the attribute of the control element and the image includes:
and judging the state of the control element by image recognition for the control element with unchanged properties before and after being clicked.
The second aspect of the invention discloses an automatic test system based on control attribute and image recognition, which comprises:
the system comprises an upper computer, automobile cabin display equipment and CAN signal acquisition equipment, wherein the upper computer is connected with the automobile cabin display equipment, the upper computer is connected with the CAN signal acquisition equipment, and the automobile cabin display equipment is connected with the CAN signal acquisition equipment; the automobile cabin display equipment is tested equipment, and the CAN signal acquisition equipment is used for collecting CAN signal data;
the upper computer is internally provided with picture model analysis software, image recognition software and test instruction program compiling software; the picture model analysis software is used for acquiring control element attributes displayed in a picture and positioning the control elements according to the control element attributes; the image recognition software is used for intercepting recognizable images of the control elements, and positioning the control elements and recognizing click states of the control elements by using an image recognition algorithm; the test instruction program compiling software is used for compiling the designed test case into an instruction program, and the instruction program comprises control element searching and positioning, click simulation, click state identification, CAN signal monitoring and test report generation.
According to the system of the second aspect of the present invention, the control element attributes include a name, a position, a size, and text;
the method for positioning the control element according to the control element attribute comprises the following steps:
and for the control elements with the same or similar appearances in the interface, positioning the control elements by adopting the control element attributes.
According to a system of the second aspect of the invention, a method of positioning control elements according to an image comprises:
for the control elements with the same control element attribute, positioning the control elements by utilizing image recognition;
the method for judging the state of the control element according to the image comprises the following steps:
and judging the state of the control element through image identification for the control element of which the attribute does not change before and after being clicked.
A third aspect of the invention discloses an electronic device. The electronic device comprises a memory and a processor, the memory stores a computer program, and the processor executes the computer program to implement the steps of the automated testing method based on the control attribute and the image recognition in any one of the first aspect of the disclosure.
A fourth aspect of the invention discloses a computer-readable storage medium. The computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements the steps of a method for automated testing based on control properties and image recognition according to any one of the first aspect of the present disclosure.
The proposal of the invention is that the device comprises a power supply,
1. the problems that the control element is poor in positioning precision and the click state is difficult to recognize can be effectively solved, and the positioning and recognition precision and speed of the control element are effectively improved.
2. By compiling instruction programs of searching and positioning of control elements, simulating clicking, clicking state recognition, CAN signal monitoring, test report generation and the like, an automatic test link is established, a test flow is effectively optimized, and test efficiency is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a flowchart of an automated testing method based on control properties and image recognition according to an embodiment of the present invention;
FIG. 2 is a flowchart of positioning and identifying control elements according to an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of an automated test system according to an embodiment of the present invention;
fig. 4 is a block diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention discloses an automatic testing method based on control attributes and image recognition in a first aspect. Fig. 1 is a flowchart of an automated testing method based on control attributes and image recognition according to an embodiment of the present invention, as shown in fig. 1 and fig. 2, the method includes:
s1, acquiring a picture model displayed by a vehicle control function in the automobile cabin display equipment, and analyzing the picture model to acquire control element attributes displayed in a picture; capturing an identifiable image of the control element from the captured picture by capturing the picture for image identification; the control element properties include name, position, size, and text.
S2, aiming at the control element needing to be tested in the test content, selecting strategies for positioning the control element and judging the state of the control element according to the control element attribute and the image;
the method for positioning the control element according to the control element attribute comprises the following steps:
and for the control elements with the same or similar appearances in the interface, positioning the control elements by adopting the control element attributes.
The method for positioning the control element according to the image comprises the following steps:
and for the control elements with the same control element attribute, positioning the control elements by utilizing image recognition.
The method for judging the state of the control element according to the attribute and the image of the control element comprises the following steps:
and judging the state of the control element before and after being clicked by image identification for the control element with unchanged attribute, and identifying whether the control element is in the clicked state.
S3, selecting a control element to be tested according to the vehicle control function test content to be tested, and designing a related test case of the control element according to the actual test requirement;
step S4, compiling command programs of searching and positioning, simulated clicking, clicking state identification, CAN signal monitoring and test report generation of the control elements according to the positioning control elements and the strategy and test cases for judging the states of the control elements; by compiling instruction programs of searching and positioning of control elements, simulating clicking, clicking state recognition, CAN signal monitoring, test report generation and the like, an automatic test link is established, a test flow is effectively optimized, and test efficiency is improved.
And step S5, operating the instruction program, completing the searching and positioning of the element of the tested element and the simulated clicking operation in the vehicle control function of the display equipment of the automobile cabin, matching the recognized control element state with the signal value obtained by monitoring the CAN signal, automatically judging whether the matched condition meets the expected value in the test case or not, and finally generating a corresponding test report. The method can effectively solve the problems of poor positioning precision of the control elements and difficulty in identifying the click state of the control elements, and effectively improves the positioning and identifying precision and speed of the control elements.
The invention can effectively improve the precision and speed of positioning and identifying the control elements in the vehicle control function. Meanwhile, the invention also establishes an automatic test link from the simulation of manually clicking the control element to the final generation of the test report, realizes the full-process monitoring of CAN signal communication, effectively optimizes the test process and improves the test efficiency.
In some embodiments, in order to ensure the accuracy of the image recognition result, the threshold of the image recognition may be reasonably adjusted or multiple sets of independent image recognition algorithms (e.g., 3 sets) may be used for recognition, and when more than half (2 sets) of image recognition algorithms give results meeting the expected measurement result, the recognition may be passed.
In conclusion, the scheme provided by the invention can effectively solve the problems of poor positioning precision of the control elements and difficulty in identifying the click state of the control elements, and effectively improve the positioning and identifying precision and speed of the control elements. By compiling instruction programs of searching and positioning of control elements, simulating clicking, clicking state recognition, CAN signal monitoring, test report generation and the like, an automatic test link is established, a test flow is effectively optimized, and test efficiency is improved.
The invention discloses an automatic test system based on control attribute and image recognition in a second aspect. FIG. 3 is a block diagram of an automated testing system based on control properties and image recognition, according to an embodiment of the present invention; as shown in fig. 3, the system includes: the system comprises an upper computer, automobile cabin display equipment and CAN signal acquisition equipment, wherein the upper computer is connected with the automobile cabin display equipment, the upper computer is connected with the CAN signal acquisition equipment, and the automobile cabin display equipment is connected with the CAN signal acquisition equipment; the automobile cabin display equipment is tested equipment, and the CAN signal acquisition equipment is used for collecting CAN signal data;
the upper computer is internally provided with picture model analysis software, image recognition software and test instruction program compiling software; the picture model analysis software is used for acquiring control element attributes displayed in a picture and positioning the control elements according to the control element attributes; the image recognition software is used for intercepting recognizable images of the control elements, and positioning the control elements and recognizing click states of the control elements by using an image recognition algorithm; the test instruction program compiling software is used for compiling the designed test case into an instruction program, and the instruction program comprises control element searching and positioning, click simulation, click state identification, CAN signal monitoring and test report generation.
In some embodiments, the control element properties include name, position, size, and text;
the method for positioning the control element according to the control element attribute comprises the following steps:
and for the control elements with the same or similar appearances in the interface, positioning the control elements by adopting the control element attributes.
In some embodiments, a method of positioning control elements from an image includes:
for control elements with the same control element attribute, positioning the control elements by utilizing image recognition;
the method for judging the state of the control element according to the image comprises the following steps:
and judging the state of the control element through image identification for the control element with unchanged properties before and after being clicked.
A third aspect of the invention discloses an electronic device. The electronic device comprises a memory and a processor, the memory stores a computer program, and the processor executes the computer program to implement the steps of the automated testing method based on the control attribute and the image recognition in any one of the first aspect of the disclosure.
Fig. 4 is a block diagram of an electronic device according to an embodiment of the present invention, and as shown in fig. 4, the electronic device includes a processor, a memory, a communication interface, a display screen, and an input device, which are connected by a system bus. Wherein the processor of the electronic device is configured to provide computing and control capabilities. The memory of the electronic equipment comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The communication interface of the electronic device is used for carrying out wired or wireless communication with an external terminal, and the wireless communication can be realized through WIFI, an operator network, Near Field Communication (NFC) or other technologies. The display screen of the electronic equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the electronic equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the electronic equipment, an external keyboard, a touch pad or a mouse and the like.
It will be understood by those skilled in the art that the structure shown in fig. 4 is only a partial block diagram related to the technical solution of the present disclosure, and does not constitute a limitation of the electronic device to which the solution of the present application is applied, and a specific electronic device may include more or less components than those shown in the drawings, or combine some components, or have a different arrangement of components.
A fourth aspect of the invention discloses a computer-readable storage medium. The computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements the steps of a method for automated testing based on control properties and image recognition according to any one of the first aspect of the present disclosure.
It should be noted that the technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, however, as long as there is no contradiction between the combinations of the technical features, the scope of the present description should be considered. The above examples only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, and these are all within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. An automated testing method based on control attributes and image recognition is characterized by comprising the following steps:
s1, acquiring a picture model displayed by a vehicle control function in the automobile cabin display equipment, and analyzing the picture model to acquire control element attributes displayed in a picture; the method comprises the following steps of (1) capturing a screen of a picture, and capturing an identifiable image of a control element from the captured picture;
s2, aiming at the control element needing to be tested in the test content, selecting strategies for positioning the control element and judging the state of the control element according to the control element attribute and the image;
s3, selecting a control element to be tested according to the vehicle control function test content to be tested, and designing a related test case of the control element according to the actual test requirement;
step S4, compiling command programs of searching and positioning, simulated clicking, clicking state identification, CAN signal monitoring and test report generation of the control elements according to the positioning control elements, the strategy for judging the state of the control elements and the test cases;
and step S5, operating the instruction program, completing the searching and positioning of the element of the tested element and the simulated clicking operation in the vehicle control function of the display equipment of the automobile cabin, matching the recognized control element state with the signal value obtained by monitoring the CAN signal, automatically judging whether the matched condition meets the expected value in the test case or not, and finally generating a corresponding test report.
2. The method for automated testing based on control attributes and image recognition according to claim 1, wherein in step S1, the control element attributes include name, position, size and text.
3. The method for automated testing based on control attribute and image recognition according to claim 1, wherein in step S2, the method for positioning control elements according to control element attributes comprises:
and for the control elements with the same or similar appearances in the interface, positioning the control elements by adopting the control element attributes.
4. The method for automated testing based on control attribute and image recognition according to claim 1, wherein in step S2, the method for positioning control elements according to images comprises:
and for the control elements with the same control element attribute, positioning the control elements by utilizing image recognition.
5. The method for automated testing based on control attribute and image recognition according to claim 1, wherein in step S2, the method for determining the state of the control element according to the control element attribute and the image comprises:
and judging the state of the control element by image recognition for the control element with unchanged properties before and after being clicked.
6. An automated testing system based on control properties and image recognition, the system comprising:
the system comprises an upper computer, automobile cabin display equipment and CAN signal acquisition equipment, wherein the upper computer is connected with the automobile cabin display equipment, the upper computer is connected with the CAN signal acquisition equipment, and the automobile cabin display equipment is connected with the CAN signal acquisition equipment; the automobile cabin display equipment is tested equipment, and the CAN signal acquisition equipment is used for collecting CAN signal data;
the upper computer is internally provided with picture model analysis software, image recognition software and test instruction program compiling software; the picture model analysis software is used for acquiring control element attributes displayed in a picture and positioning the control elements according to the control element attributes; the image recognition software is used for intercepting recognizable images of the control elements, and positioning the control elements and recognizing click states of the control elements by using an image recognition algorithm; the test instruction program compiling software is used for compiling the designed test case into an instruction program, and the instruction program comprises control element searching and positioning, click simulation, click state identification, CAN signal monitoring and test report generation.
7. The automated test system based on control properties and image recognition of claim 6, wherein the control element properties comprise name, position, size, and text;
the method for positioning the control element according to the attribute of the control element comprises the following steps:
and for the control elements with the same or similar appearances in the interface, positioning the control elements by adopting the control element attributes.
8. The automated testing system based on control attributes and image recognition of claim 6, wherein the method for positioning control elements according to images comprises:
for control elements with the same control element attribute, positioning the control elements by utilizing image recognition;
the method for judging the state of the control element according to the image comprises the following steps:
and judging the state of the control element through image identification for the control element with unchanged properties before and after being clicked.
9. An electronic device, comprising a memory storing a computer program and a processor, wherein the processor implements the steps of the method for automated testing based on control properties and image recognition according to any one of claims 1 to 5 when executing the computer program.
10. A computer-readable storage medium, having stored thereon a computer program which, when executed by a processor, carries out the steps of a method for automated testing based on control properties and image recognition according to any one of claims 1 to 5.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115687160A (en) * | 2022-12-30 | 2023-02-03 | 杭州兑吧网络科技有限公司 | Interface test system, method and equipment cluster |
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| CN110308346A (en) * | 2019-06-24 | 2019-10-08 | 中国航空无线电电子研究所 | Cockpit display system automatic test approach and system based on image recognition |
| CN110413529A (en) * | 2019-07-31 | 2019-11-05 | 中国工商银行股份有限公司 | Applied to the test method of electronic equipment, device, calculate equipment and medium |
| US20210224184A1 (en) * | 2019-12-26 | 2021-07-22 | Anthem, Inc. | Automation Testing Tool Framework |
| CN113934630A (en) * | 2021-10-12 | 2022-01-14 | 上海复深蓝软件股份有限公司 | Software testing method, device, equipment and medium based on image recognition |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110308346A (en) * | 2019-06-24 | 2019-10-08 | 中国航空无线电电子研究所 | Cockpit display system automatic test approach and system based on image recognition |
| CN110413529A (en) * | 2019-07-31 | 2019-11-05 | 中国工商银行股份有限公司 | Applied to the test method of electronic equipment, device, calculate equipment and medium |
| US20210224184A1 (en) * | 2019-12-26 | 2021-07-22 | Anthem, Inc. | Automation Testing Tool Framework |
| CN113934630A (en) * | 2021-10-12 | 2022-01-14 | 上海复深蓝软件股份有限公司 | Software testing method, device, equipment and medium based on image recognition |
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| CN115687160A (en) * | 2022-12-30 | 2023-02-03 | 杭州兑吧网络科技有限公司 | Interface test system, method and equipment cluster |
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