WO2024078601A1 - 图标检测脚本的生成方法、设备及存储介质 - Google Patents
图标检测脚本的生成方法、设备及存储介质 Download PDFInfo
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- WO2024078601A1 WO2024078601A1 PCT/CN2023/124369 CN2023124369W WO2024078601A1 WO 2024078601 A1 WO2024078601 A1 WO 2024078601A1 CN 2023124369 W CN2023124369 W CN 2023124369W WO 2024078601 A1 WO2024078601 A1 WO 2024078601A1
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- icon
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- status information
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- 238000001514 detection method Methods 0.000 title claims abstract description 108
- 238000013515 script Methods 0.000 title claims abstract description 73
- 238000000034 method Methods 0.000 title claims abstract description 34
- 238000012360 testing method Methods 0.000 claims abstract description 72
- 230000006870 function Effects 0.000 claims description 51
- 238000004590 computer program Methods 0.000 claims description 12
- 230000002123 temporal effect Effects 0.000 claims description 3
- 238000000926 separation method Methods 0.000 abstract description 3
- 238000003058 natural language processing Methods 0.000 description 10
- 230000003287 optical effect Effects 0.000 description 6
- 238000000605 extraction Methods 0.000 description 5
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- 101100233916 Saccharomyces cerevisiae (strain ATCC 204508 / S288c) KAR5 gene Proteins 0.000 description 2
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- 101001121408 Homo sapiens L-amino-acid oxidase Proteins 0.000 description 1
- 102100026388 L-amino-acid oxidase Human genes 0.000 description 1
- 101100012902 Saccharomyces cerevisiae (strain ATCC 204508 / S288c) FIG2 gene Proteins 0.000 description 1
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- 239000004065 semiconductor Substances 0.000 description 1
- 238000013024 troubleshooting Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
- G06F3/0481—Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
- G06F3/04817—Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance using icons
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60K—ARRANGEMENT OR MOUNTING OF PROPULSION UNITS OR OF TRANSMISSIONS IN VEHICLES; ARRANGEMENT OR MOUNTING OF PLURAL DIVERSE PRIME-MOVERS IN VEHICLES; AUXILIARY DRIVES FOR VEHICLES; INSTRUMENTATION OR DASHBOARDS FOR VEHICLES; ARRANGEMENTS IN CONNECTION WITH COOLING, AIR INTAKE, GAS EXHAUST OR FUEL SUPPLY OF PROPULSION UNITS IN VEHICLES
- B60K37/00—Dashboards
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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
- G06F11/3668—Software testing
- G06F11/3672—Test management
- G06F11/3688—Test management for test execution, e.g. scheduling of test suites
Definitions
- the invention relates to a method for generating an icon detection script, and also relates to a computing device and a computer-readable storage medium for implementing the generating method, belonging to the technical field of automotive electronics.
- the primary technical problem to be solved by the present invention is to provide a method for generating an icon detection script, which is used to automatically generate an icon detection script and improve the generalization of the icon detection script.
- Another technical problem to be solved by the present invention is to provide a computing device and a computer-readable storage medium for implementing the above-mentioned generation method.
- a method for generating an icon detection script comprising the following steps: determining a target icon according to a test instance; obtaining status information of the target icon displayed on a vehicle computer, and extracting corresponding status parameters according to the status information, wherein the status parameters can be used to determine the status information; generating an icon detection script according to the status parameters and a preset detection function, so as to test the icon display of the vehicle computer through the generated icon detection script.
- a computing device comprising a memory and a processor, wherein the memory is coupled to the processor; wherein:
- the memory is used to store computer programs
- the processor executes the computer program to: determine the target icon according to the test instance; obtain the state information of the target icon displayed on the vehicle computer, extract the corresponding state parameters according to the state information, and the state parameters can be used to determine the state information; generate an icon detection script according to the state parameters and the preset detection function, so as to detect the vehicle computer through the generated icon detection script; Icon display for testing.
- a computer-readable storage medium storing a computer program, and when the computer program is executed by one or more processors, the one or more processors implement the steps in the above method.
- a target icon is determined according to a test instance; status information of the target icon displayed on the vehicle computer is obtained, and corresponding status parameters are extracted according to the status information, and the status parameters can be used to determine the status information; an icon detection script is generated according to the status parameters and a preset detection function, so as to test the icon display of the vehicle computer through the generated icon detection script.
- FIG1 is a schematic flow chart of a method for generating an icon detection script in one embodiment of the present invention
- FIG2 is a schematic diagram of a corresponding generation system in one embodiment of the present invention.
- FIG3 is a flow chart of a method for generating an icon detection script in another embodiment of the present invention.
- FIG4 is a schematic diagram of a module structure in a test device according to an embodiment of the present invention.
- FIG. 5 is a schematic diagram of a computing device in an embodiment of the present invention.
- the embodiment of the present invention first provides a method for generating an icon detection script, which can automatically generate an icon detection script and improve the generalization of the icon detection script.
- the generation method 100 is applicable to a test device, which can be a computing device, a computer with computing capabilities, etc. As shown in FIG. 1 , the generation method 100 includes at least the following steps:
- the state parameter can be used to determine the state information.
- the step of determining the target icon according to the test instance includes: obtaining an identifier of the target icon according to the test instance to determine the target icon.
- the test device may obtain a test instance (also referred to as a test case), and obtain an identifier of a target icon from the test instance, such as a name or an ID, thereby determining the target icon.
- a test instance also referred to as a test case
- an identifier of a target icon such as a name or an ID
- the state parameters can be used to determine the state information.
- the state parameters can include: name, color, flashing state, display or not, etc.
- the state parameters can also include display position, which does not need to be extracted.
- the test device can directly obtain the status information from the test instance.
- the status information can be the display status of the icon, such as the parking light icon is displayed at a frequency of 2 Hz and in red color.
- the display status is also the expected display result of the target icon.
- obtaining the status information of the target icon displayed on the vehicle computer includes: obtaining the status information matching different vehicle computer types according to the identifier of the target icon, so as to display the target icon on the matching vehicle computer.
- the test equipment obtains the name of the icon, such as a parking light.
- the corresponding status information can be searched, and according to the type of different vehicle computers, the corresponding status information can be obtained in the form of a table. If the parking light corresponds to only one status information, then all vehicle computers are displayed according to the status information. If the parking light corresponds to multiple status information, and each status information corresponds to a vehicle computer type, the corresponding status information can be selected according to the vehicle computer type to be tested. During the test, the vehicle computer can display the selected status information.
- the method of extracting parameters may include: extracting state parameters from state information by using nltk (Natural Language Toolkit) tool, such as name, color, flashing state (such as flashing frequency, in hz), display or not, etc. It should be noted that the name may not be extracted because it has been obtained.
- nltk Natural Language Toolkit
- the parameters to be displayed or not can be Extraction, if the extracted parameter indicates non-display, that is, the icon is not displayed, then other parameters corresponding to the parameter, such as color, flicker, etc., may not be extracted. If the extracted parameter indicates display, that is, the icon is displayed, then other parameters corresponding to the parameter, such as color, flicker, etc., may continue to be extracted.
- the above-mentioned parameter extraction can be achieved through a natural language processing module, and the natural language processing module performs parameter extraction through the nl tk tool.
- the testing device may include a natural language processing module.
- the preset detection function refers to a detection function without state parameters, and the state parameters need to be filled into the function to make the function complete.
- the test device after obtaining the above parameters, the test device fills these parameters into the preset detection function, thereby generating an icon detection script.
- generating an icon detection script according to the state parameters and the preset detection function includes: filling the extracted state parameters into the preset detection function to generate the icon detection script.
- the test device fills the state parameters into the preset detection function through the function encapsulation and filling module to generate an icon detection script.
- the test device may include the function encapsulation and filling module.
- the generation method 100 further includes: converting the state parameters into preset parameters satisfying the preset detection function, so as to fill the preset detection function and generate an icon detection script.
- test device transforms the above-mentioned state parameters through preset rules to obtain parameters that meet the preset detection function syntax, and then fills the transformed parameters into the function to generate a script.
- the test device can run the script to obtain the display result, such as the parking light icon is displayed at a frequency of 2hz and in red color.
- the test device can then use a camera to capture the display of the parking light icon on the vehicle computer, and the camera will send the video containing the display to the test device.
- the test device determines the display of the parking light icon and compares it with the display result obtained by running the current script to determine the test result of the vehicle computer.
- the test equipment can first send a command to the vehicle computer, such as an engine failure command. After receiving the command, the vehicle computer responds to the command and displays the target icon. The parking light icon is displayed, so that the display of the icon can be photographed.
- the test device 201 executes step 211: sends a command to the vehicle computer 202.
- the vehicle computer 202 receives the command and can display a target icon in response to the command, or can perform a corresponding operation in response to the command, and after performing the operation, the target icon of the corresponding operation can be displayed on the vehicle computer.
- the test device 201 collects the image of the vehicle computer through the camera. That is, the test device 201 executes step 212: collects the image.
- the generation method 100 also includes: determining whether to segment the status information into sentences; if so, segmenting the status information into sentences and determining the timing relationship between the sentences; extracting the corresponding status parameters for each sentence, and generating an icon detection script based on the timing relationship, the status parameters corresponding to the sentence, and the preset detection function.
- step 301 the expected test result is extracted, and then the status information is determined whether the sentence needs to be divided by the preset symbols or preset words appearing in the status information. That is, step 302 is executed: whether it is a complex sentence is analyzed. If the symbol "comma”, the word “later”, the word “and”, etc. appear, the sentence needs to be divided.
- the status information is divided according to the preset symbols or words, such as dividing the information before "later" into one sub-information, and dividing the information after "later” into another sub-information, and thus determining the sequential order.
- step 304 is executed: whether it is a parallel sentence is analyzed. If so, step 306 is executed: sentence splitting, and each part is completed according to the single sentence processing flow. If not, step 305 is executed: time series processing flow. It can be understood that step 305 and step 306 here correspond to the above-mentioned sub-information with time sequence distinction and the sub-information with parallel time sequence, respectively.
- each sub-information can also be parameterized. Then, according to the method described above, the state parameters of each sub-information are extracted, and filled into the preset detection function according to the time sequence order and the corresponding state parameters to generate a script.
- step 303 single sentence processing flow is executed, that is, the state parameter is directly extracted in the manner described above, which will not be described in detail.
- the graph is generated according to the temporal relationship, the state parameters corresponding to the sentence, and the preset detection function
- the icon detection script includes: according to the time sequence relationship, the state parameters corresponding to the sentences are filled into the preset detection function in sequence to generate the icon detection script.
- the test equipment can directly fill the state parameters of the same time period into the preset detection function to generate a script.
- the test equipment can fill the corresponding state parameters into the preset positions in the function according to the timing. For example, if the first time period is before the second time period, then according to this timing, the preset positions in the preset detection function are supplemented in sequence according to the time period sequence. Then, the state parameters corresponding to the first time period can be filled in first, and then the state parameters corresponding to the second time period can be filled in. It can be understood that according to the foregoing, when the parameters need to be converted, the parameter conversion is performed, and then the parameters are filled in according to the above. The final script is generated for execution.
- parameters with time sequence such as the state parameters of the first time period and the state parameters of the second time period
- the target icon changes in these two time periods, such as the icon is displayed in the first time period and disappears in the second time period.
- the generation method 100 further includes: acquiring a display position of the target icon, and adding the display position to the state parameter.
- the test device can obtain the display position from the test instance for display on the vehicle computer. After obtaining the name of the target icon, the corresponding display position can be obtained according to different vehicle computer types, which can be obtained in the form of a table. The obtained display position is added to the state parameter and then filled into the preset detection function.
- the generation method 100 also includes: running the generated icon detection script to determine the display result corresponding to the target icon; obtaining the display result corresponding to the target icon displayed by the vehicle computer, and comparing the display result with the display result to complete the detection.
- the test device After the test device generates a script, it runs the script and displays the display result of the target icon. As described above, the test device can collect the video or image of the vehicle computer displaying the target icon through the camera. Then analyze the collected video or image, and compare the two results to determine whether they are consistent. If they are consistent, the vehicle computer detection is normal. If they are inconsistent, the vehicle computer detection is abnormal and needs to be reported to the corresponding vehicle computer for troubleshooting.
- the instrument image of the vehicle computer i.e., the target image
- the instrument image of the vehicle computer may be an image captured in real time from the content displayed on the display screen of the vehicle computer, may be a test image in the vehicle production stage, or may be an actual display image when the vehicle is driving. There is no specific limitation on this.
- the test device may further include a controller, wherein the controller is configured to: run a script to display a target image of the vehicle computer.
- the controller also includes a log module for recording logs.
- the controller is further configured to: record the log of the state parameter extraction process and the log of filling the preset detection function parameters.
- the embodiment of the present invention can extract the state parameters and the timing according to the expected results of the test instance, thereby providing strong technical support for promoting the separation of test data and test cases. While improving the efficiency of automatic test case generation, it further improves the generalization of the automatic assembly of dashboard icon flashing and display detection of vehicle computers, which has practical application value.
- Another embodiment of the present invention further provides a device for generating an icon detection script.
- the generating device can be applied in a test device. As shown in FIG4 , the generating device 400 may include:
- the natural language processing module 401 is used to determine a target icon according to a test instance.
- the natural language processing module 401 is used to obtain the status information of the target icon displayed on the vehicle computer, and extract the corresponding status parameters according to the status information.
- the status parameters can be used to determine the status information.
- the function parameter filling module 402 is used to generate an icon detection script according to the state parameters and the preset detection function, so as to test the icon display of the vehicle computer through the generated icon detection script.
- the generating device 400 further includes a controller 403 for running a script for testing.
- the natural language processing module 401 is used to obtain status information matching different vehicle computer types according to the identifier of the target icon, so as to display the target icon on the matching vehicle computer.
- the function parameter filling module 402 is used to fill the extracted state parameters into the preset detection function to generate an icon detection script.
- the natural language processing module 401 is also used to determine whether to segment the status information into sentences; if so, segment the status information into sentences and determine the timing relationship between the sentences; extract the corresponding status parameters for each sentence, and generate an icon detection script based on the timing relationship, the status parameters corresponding to the sentence, and the preset detection function.
- the natural language processing module 401 is used to fill the state parameters corresponding to the sentences into the preset detection function in sequence according to the time sequence relationship to generate an icon detection script.
- the natural language processing module 401 is also used to obtain the display position of the target icon and add the display position to the state parameter.
- controller 403 is used to run the generated icon detection script to determine the target icon corresponding to display result; obtain the display result corresponding to the target icon displayed on the vehicle computer, and compare the display result with the display result to complete the detection.
- the log is recorded by the log module 404 in the controller 403 .
- the natural language processing module 401 is also used to: convert the state parameters into preset parameters that meet the preset detection function, so as to fill them into the preset detection function and generate an icon detection script.
- FIG. 5 A schematic diagram of the structure of a computing device provided by another embodiment of the present invention is shown in Figure 5.
- the computing device 500 is only an example and should not limit the functions and scope of use of the embodiments of the present invention.
- the computing device 500 may be a test device, etc.
- the computing device 500 is in the form of a general computing device.
- the components of the computing device 500 may include, but are not limited to: one or more processors or processor units 501, a memory 504, and a bus 507 connecting different device components (including the memory 504 and the processor unit 501).
- the processor or processor unit is coupled to the memory 504 via the bus 507.
- the memory 504 is used to store computer programs; the processor executes the computer program to: determine the target icon according to the test instance; obtain the state information of the target icon displayed on the vehicle computer, extract the corresponding state parameters according to the state information, and the state parameters can be used to determine the state information; generate an icon detection script according to the state parameters and a preset detection function, so as to test the icon display of the vehicle computer through the generated icon detection script.
- the processor can also be used for the execution steps described above, which will not be described in detail here.
- Bus 507 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor or a local bus using any of a variety of bus architectures.
- bus architectures include but are not limited to Industry Standard Architecture (ISA) bus, Micro Channel Architecture (MAC) bus, Enhanced ISA bus, Video Electronics Standards Association (VESA) local bus and Peripheral Component Interconnect (PCI) bus.
- the computing device 500 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by the computing device 500, including volatile and non-volatile media, removable and non-removable media.
- the memory 504 may include computer system readable media in the form of volatile memory, such as random access memory (RAM), i.e., RAM 5041 and/or cache 5043, i.e., cache memory.
- RAM random access memory
- the computing device 500 may further include other removable/non-removable, volatile/non-volatile computer system storage media.
- the storage system 5042 may be used to read 5, and writes to a non-removable, non-volatile magnetic medium (not shown in FIG. 5, usually referred to as a "hard drive").
- a disk drive for reading and writing to a removable non-volatile disk e.g., a "floppy disk”
- an optical disk drive for reading and writing to a removable non-volatile optical disk e.g., a CD-ROM, DVD-ROM, or other optical medium
- each drive can be connected to bus 507 via one or more data medium interfaces.
- Memory 504 may include at least one program product having a set (e.g., at least one) of program modules that are configured to perform the functions of the embodiments of the present invention.
- a program/utility 5044 having a set (at least one) of program modules 5045 may be stored, for example, in the memory 504, such program modules 5045 including but not limited to an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment.
- the program modules 5045 generally perform the functions and/or methods of the embodiments described herein.
- the computing device 500 may also communicate with one or more external devices 506 (e.g., keyboard, pointing device, display 502, etc.), may also communicate with one or more devices that enable a user to interact with the computing device 500, and/or communicate with any device that enables the computing device 500 to communicate with one or more other computing devices (e.g., network card, modem, etc.). Such communication may be performed through an input/output (I/O) interface, i.e., an I/O interface 503.
- the computing device 500 may also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and/or a public network, such as the Internet) through a network adapter 505. As shown in FIG.
- the network adapter 505 communicates with other modules of the computing device 500 through a bus 507. It should be understood that, although not shown in FIG. 5 , other hardware and/or software modules may be used in conjunction with the computing device 500, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.
- the processor unit 501 executes various functional applications and data processing by running the programs stored in the memory 504, such as implementing the method for generating an icon detection script provided in an embodiment of the present invention.
- Another embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by one or more processors, implements the method for generating an icon detection script provided in an embodiment of the present invention:
- the computer-readable storage medium may be any combination of one or more computer-readable media.
- the computer-readable medium may be a computer-readable signal medium. Or a computer-readable storage medium.
- the computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above.
- a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, device or device.
- Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, which carry computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device.
- the program code embodied on the computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
- Computer program code for performing the operations of the present invention may be written in one or more programming languages or a combination thereof, including object-oriented programming languages such as Java, Smalltalk, C++, and conventional procedural programming languages such as "C" or similar programming languages.
- the program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server.
- the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).
- LAN local area network
- WAN wide area network
- Internet service provider e.g., AT&T, MCI, Sprint, EarthLink, MSN, GTE, etc.
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Abstract
本发明公开了一种图标检测脚本的生成方法、设备及存储介质。在本发明实施例中,根据测试实例确定目标图标;获取目标图标在车机上被显示的状态信息,根据状态信息提取对应的状态参数,状态参数可用于确定状态信息;根据状态参数以及预置检测函数生成图标检测脚本,以通过生成的图标检测脚本对车机的图标展示进行测试。通过对状态参数的提取,进而为推动测试数据和测试实例的分离,提供了强有力的技术支持。本发明在提升自动化测试实例生成效能,自动生成对应的图标检测脚本的同时,可以进一步提高仪表盘图标闪烁及显示检测实例自动化组装的泛化性。
Description
本发明涉及一种图标检测脚本的生成方法,同时也涉及用于实施该生成方法的计算设备和计算机可读存储介质,属于汽车电子技术领域。
现有技术中,通常在车机的液晶显示屏上会有各种信息指示图标和告警图标。在不同的场景下,这些图标会以不同频率或者特定的颜色来显示,或者是消失,或者是以某种频率来闪烁。
在实际应用检测中,这些图标是规定的颜色或者是规定的闪烁频率来出现或者是消失。面对繁杂的用例,如何能够完成其自动化组装仍然是一个需要解决的问题。
发明内容
本发明所要解决的首要技术问题在于提供一种图标检测脚本的生成方法,用于自动生成图标检测脚本,并且提高图标检测脚本的泛化性。
本发明所要解决的另一技术问题在于提供一种用于实施上述生成方法的计算设备和计算机可读存储介质。
为了实现上述目的,本发明采用以下的技术方案:
根据本发明实施例的第一方面,提供一种图标检测脚本的生成方法,包括如下步骤:根据测试实例确定目标图标;获取目标图标在车机上被显示的状态信息,根据所述状态信息提取对应的状态参数,所述状态参数可用于确定状态信息;根据状态参数以及预置检测函数生成图标检测脚本,以通过生成的图标检测脚本对车机的图标展示进行测试。
根据本发明实施例的第二方面,提供一种计算设备,包括存储器和处理器,所述存储器与所述处理器耦接;其中,
所述存储器,用于存储计算机程序;
所述处理器,执行所述计算机程序,以用于:根据测试实例确定目标图标;获取目标图标在车机上被显示的状态信息,根据所述状态信息提取对应的状态参数,所述状态参数可用于确定状态信息;根据状态参数以及预置检测函数生成图标检测脚本,以通过生成的图标检测脚本对车机的
图标展示进行测试。
根据本发明实施例的第三方面,提供一种存储有计算机程序的计算机可读存储介质,计算机程序被一个或多个处理器执行时,使所述一个或多个处理器实现上述方法中的步骤。
在本发明实施例中,根据测试实例确定目标图标;获取目标图标在车机上被显示的状态信息,根据所述状态信息提取对应的状态参数,所述状态参数可用于确定状态信息;根据状态参数以及预置检测函数生成图标检测脚本,以通过生成的图标检测脚本对车机的图标展示进行测试。
通过对状态参数的提取,进而为推动测试数据和测试实例的分离,提供了强有力的技术支持。在提升自动化测试实例生成效能,自动生成对应的图标检测脚本的同时,进一步提高仪表盘图标闪烁及显示检测实例自动化组装的泛化性,具有实际应用价值。
图1为本发明的一个实施例中,图标检测脚本的生成方法的流程示意图;
图2为本发明的一个实施例中,对应的生成系统的示意图;
图3为本发明的另一个实施例中,图标检测脚本的生成方法的流程示意图;
图4为本发明实施例中,测试设备中模块结构的示意图;
图5为本发明实施例中,计算设备的示意图。
下面结合附图和具体实施例对本发明的技术内容进行详细具体的说明。
本发明实施例首先提供一种图标检测脚本的生成方法,可以自动生成图标检测脚本,并且提高图标检测脚本的泛化性。该生成方法100适用于测试设备,该测试设备可以是计算设备,具有计算能力的计算机等。如图1所示,该生成方法100至少包括如下步骤:
101:根据测试实例确定目标图标。
102:获取目标图标在车机上被显示的状态信息,根据状态信息提取对应的状态参数。
其中,状态参数可用于确定状态信息。
103:根据状态参数以及预置检测函数生成图标检测脚本,以通过生成的图标检测脚本对车机的图标展示进行测试。
下面,对上述各个步骤进行详细阐述:
101:根据测试实例确定目标图标。
其中,根据测试实例确定目标图标,包括:根据测试实例获取目标图标的标识,以确定目标图标。
例如,测试设备可以获取测试实例(也可以称为测试用例),并从测试实例中获取目标图标的标识,如名称或者ID等。由此确定目标图标。
102:获取目标图标在车机上被显示的状态信息,根据状态信息提取对应的状态参数。
其中,状态参数可用于确定状态信息。其中,状态参数可以包括:如名称,颜色,闪烁状态,显示与否等。此外状态参数还可以包括展示位置,该参数不用提取获取到。
例如,根据前文所述,测试设备可以直接从测试实例中获取到状态信息。该状态信息可以是图标的显示情况,如停车灯图标以2hz频率以及红色颜色进行显示。该显示情况也是目标图标的期望显示结果。
具体的,获取目标图标在车机上被显示的状态信息,包括:根据目标图标的标识,获取与不同车机类型匹配的状态信息,以在匹配的车机上进行显示目标图标。
例如,根据前文所述,测试设备根据获取到的图标的名称,如停车灯。根据该名称可以查找对应的状态信息,以及根据不同车机的类型,获取对应的状态信息,可以是通过表格的形式来获取的。如停车灯如果只对应一个状态信息,那么所有的车机都根据该状态信息进行展示。如果停车灯对应多个状态信息,每个状态信息对应一个车机类型,则可以根据要测试的车机类型,选择对应的状态信息。在测试的时候可以使得车机显示选择的该状态信息。
其中,提取参数的方式可以包括:通过nltk(Natural Language Toolkit,自然语言处理工具包)工具从状态信息中提取状态参数。如名称,颜色,闪烁状态(如闪烁的频率,单位为hz),显示与否等。需要说明的是,名称由于已经获取可以不进行提取。
需要说明是,当在参数提取的过程中,可以先对显示与否的参数进行
提取,如果提取到表示不显示的参数,即图标不进行显示,则可以不提取与该参数对应的其它参数,如颜色、闪烁等。如果提取到表示显示的参数,即图标进行显示,则可以继续提取与该参数对应的其它参数,如颜色、闪烁等。
更具体地,可以是通过自然语言处理模块来实现上述的参数提取,自然语言处理模块通过nl tk工具来进行参数提取。
其中,该测试设备可以包括自然语言处理模块。
103:根据状态参数以及预置检测函数生成图标检测脚本,以通过生成的图标检测脚本对车机的图标展示进行测试。
其中,预置检测函数是指不具有状态参数的检测函数,需要将状态参数填充到该函数中,使得该函数完整。
例如,根据前文所述,测试设备在获取到上述参数后,将这些参数填入至预置的检测函数中,从而生成图标检测脚本。
具体的,根据状态参数以及预置检测函数生成图标检测脚本,包括:将提取到的状态参数填充到预置检测函数中,生成图标检测脚本。
测试设备通过函数封装填充模块将状态参数填充到预置检测函数中,生成图标检测脚本。其中,测试设备可以包括函数封装填充模块。
其中,该生成方法100还包括:将状态参数进行转化为满足预置检测函数的预置参数,以填充到预置检测函数中,生成图标检测脚本。
此外,测试设备,或者是测试设备通过函数封装填充模块,将上述状态参数通过预置规则进行转化,得到满足预置检测函数语法的参数,然后再将转化后的参数填充到函数中,生成脚本。
需要说明的是,当状态参数本身就是满足预置检测函数的时候,可以不进行转化,直接进行参数的填充。在生成脚本后,测试设备可以运行该脚本得到显示结果,如停车灯图标以2hz频率以及红色颜色进行显示。然后测试设备可以通过摄像头来拍摄车机显示停车灯图标的显示情况,并由摄像头将包含有显示情况的视频发送至测试设备,测试设备接收到视频后,确定出该停车灯图标的显示情况,并与当前运行脚本得到的显示结果进行对比,确定车机的测试结果。
此外,在车机进行目标图标进行显示的时候,可以先由测试设备向车机发送指令,如发动机故障指令,车机在接收到该指令后,响应该指令显
示停车灯图标,由此可以拍摄该图标的显示情况。
其中,如图2所示,根据前文所述可知,测试设备201执行步骤211:发送指令,至车机202。车机202接收到该指令,响应该指令可以显示目标图标,或者响应该指令来执行对应操作,执行操作后可以在车机上显示对应操作的目标图标。然后测试设备201通过摄像头来采集车机的图像。即测试设备201执行步骤212:采集图像。
当上述步骤在获取到状态信息后,需要确定状态信息是否为复合语句,是否需要分句。
具体的,该生成方法100还包括:确定是否对状态信息进行分句;若是,则对状态信息进行分句,并确定分句之间的时序关系;针对每个分句提取对应的状态参数,根据时序关系、分句对应的状态参数以及预置检测函数生成图标检测脚本。
例如,测试设备在获取到状态信息后,如图3所示,执行步骤301:提取预期检测结果,之后,通过状态信息中出现的预置符号或预置词语来确定状态信息是否需要分句。即执行步骤302:分析是否为复句。如出现了符号“逗号”、词语“later”、词语“and”等则需要分句。在需要分句的时候,根据预置符号或词语,将状态信息划分出来,如将“later”前的信息划分为一个子信息,将“later”后的信息划分为另一个子信息,并由此确定先后时序顺序。如“later”前的子信息为第一时间段,“later”后的子信息为第二时间段。如“and”前的子信息和后的子信息,则为并列时序,属于同一时间段。即若是复句,则执行步骤304:分析是否为并列句。若是,则执行步骤306:分句拆分,每一部分按照单句处理流程来完成。若否,则执行步骤305:时间序列处理流程。可以理解,这里的步骤305和步骤306分别对应着上述有时序区分的子信息,以及并列时序的子信息。对于有时序区分的子信息也可以对每个子信息进行参数处理。然后,根据前文所述的方式,对每个子信息进行状态参数的提取,并根据时序顺序以及对应的状态参数,填充到预置检测函数中,生成脚本。
此外,若否,不是复句,则执行步骤303:单句处理流程。即按照前文所述的方式直接提取该状态参数。就不再赘述了。
其中,根据时序关系、分句对应的状态参数以及预置检测函数生成图
标检测脚本,包括:根据时序关系,将分句对应的状态参数依次填充到预置检测函数中,生成图标检测脚本。
例如,根据前文所述,测试设备可以将同一时间段的状态参数直接填充到预置检测函数中,生成脚本。对于不同时间段的参数,测试设备可以根据时序,如第一时间段在第二时间段前,则根据这种时序,将对应的状态参数填充到函数中的预置位置上,如预置检测函数中的预置位置是根据时间段顺序前后依次补充的,则可以根据顺序先填充第一时间段对应的状态参数,然后再填充第二时间段对应的状态参数。可以理解,根据前文所述可知,当需要对参数进行转化时则进行参数转化,然后再根据上述所述进行参数填充。生成最终的脚本进行执行。
需要说明的是,对于具有时序的参数而言,如第一时间段的状态参数和第二时间段的状态参数,可以表示的是目标图标在这两个时间段发生变化,如图标在第一时间段显示,在第二时间段消失等。
此外,该生成方法100还包括:获取目标图标的展示位置,并将展示位置补充到状态参数中。
例如,根据前文所述,测试设备可以从测试实例中获取到该展示位置,用于展示到车机上。也可以在获取到目标图标的名称后,根据不同的车机类型,来获取对应的展示位置,可以是通过表格的形式来获取的。并将获取到的展示位置补充到状态参数中,然后填充到预置检测函数中。
在生成脚本后,对脚本进行运行从而来测试对应的车机。
具体的,该生成方法100还包括:运行生成的图标检测脚本,确定目标图标对应的显示结果;获取车机显示目标图标对应的展示结果,根据显示结果以及展示结果进行对比,以完成检测。
例如,根据前文所述可知,测试设备生成脚本后,运行脚本并显示目标图标的显示结果。根据前文可知,测试设备可以通过摄像头采集车机在显示目标图标的视频或图像。然后对采集到的视频或图像进行分析,对比两个结果确定是否一致,若一致则车机检测无问题,若不一致则车机检测异常,需要上报对对应车机进行排查。
此外,还需要说明的是,在本发明的一个实施例中,车机的仪表图像(即目标图像)可以为对车机的显示屏显示的内容实时拍摄的图像,可以为车辆生产阶段的测试图像、也可以为车辆行驶时的实际显示图像,此处
对此不做具体限定。
上述测试设备还可以包括控制器,其中,控制器配置为:运行脚本,显示车机的目标图像。控制器还包括用于日志模块,用于记录日志。控制器进一步配置为:对状态参数提取过程的日志记录及填充预置检测函数参数的日志记录。
由此,本发明实施例可以根据测试实例的期望结果进行了状态参数的提取及具有的时序进行提取,进而为推动测试数据和测试用例的分离,提供了强有力的技术支持。在提升自动化测试用例生成效能的同时,进一步提高车机的仪表盘图标闪烁及显示检测自动化组装的泛化性,具有实际应用价值。
本发明的另一个实施例还提供一种图标检测脚本的生成装置。该生成装置可以应用在测试设备中。如图4所示,该生成装置400可以包括:
自然语言处理模块401,用于根据测试实例确定目标图标。
自然语言处理模块401,用于获取目标图标在车机上被显示的状态信息,根据状态信息提取对应的状态参数,状态参数可用于确定状态信息。
函数参数填充模块402,用于根据状态参数以及预置检测函数生成图标检测脚本,以通过生成的图标检测脚本对车机的图标展示进行测试。
该生成装置400还包括控制器403,用于运行脚本进行测试。
具体的,自然语言处理模块401用于根据目标图标的标识,获取与不同车机类型匹配的状态信息,以在匹配的车机上进行显示目标图标。
具体的,函数参数填充模块402,用于将提取到的状态参数填充到预置检测函数中,生成图标检测脚本。
此外,自然语言处理模块401还用于确定是否对状态信息进行分句;若是,则对状态信息进行分句,并确定分句之间的时序关系;针对每个分句提取对应的状态参数,根据所述时序关系、分句对应的状态参数以及预置检测函数生成图标检测脚本。
其中,自然语言处理模块401用于根据时序关系,将分句对应的状态参数依次填充到预置检测函数中,生成图标检测脚本。
此外,自然语言处理模块401还用于获取目标图标的展示位置,并将展示位置补充到状态参数中。
此外,控制器403用于运行生成的图标检测脚本,确定目标图标对应
的显示结果;获取车机显示目标图标对应的展示结果,根据所述显示结果以及展示结果进行对比,以完成检测。
其中,通过控制器403中的日志模块404来记录日志。
此外,自然语言处理模块401,还用于:将状态参数进行转化为满足预置检测函数的预置参数,以填充到预置检测函数中,生成图标检测脚本。
本发明的另一个实施例提供的一种计算设备的结构示意图如图5所示。该计算设备500仅仅是一个示例,不应对本发明实施例的功能和使用范围带来任何限制,该计算设备500可以是测试设备等。
计算设备500以通用计算设备的形式表现。计算设备500的组件可以包括但不限于:一个或者多个处理器或者处理器单元501,存储器504,连接不同设备组件(包括存储器504和处理器单元501)的总线507。其中,处理器或者处理器单元通过总线507与存储器504耦接。
存储器504,用于存储计算机程序;处理器,执行计算机程序,以用于:根据测试实例确定目标图标;获取目标图标在车机上被显示的状态信息,根据状态信息提取对应的状态参数,状态参数可用于确定状态信息;根据状态参数以及预置检测函数生成图标检测脚本,以通过生成的图标检测脚本对车机的图标展示进行测试。
处理器还可以用于上述前文所述的执行步骤,此处就不再赘述了。
总线507表示几类总线结构中的一种或多种,包括存储器总线或者存储器控制器,外围总线,图形加速端口,处理器或者使用多种总线结构中的任意总线结构的局域总线。举例来说,这些体系结构包括但不限于工业标准体系结构(ISA)总线,微通道体系结构(MAC)总线,增强型ISA总线、视频电子标准协会(VESA)局域总线以及外围组件互连(PCI)总线。
计算设备500典型地包括多种计算机系统可读介质。这些介质可以是任何能够被计算设备500访问的可用介质,包括易失性和非易失性介质,可移动的和不可移动的介质。
存储器504可以包括易失性存储器形式的计算机系统可读介质,例如随机存取存储器(RAM),即RAM5041和/或高速缓存5043,即高速缓存存储器。计算设备500可以进一步包括其它可移动/不可移动的、易失性/非易失性计算机系统存储介质。仅作为举例,存储系统5042可以用于读
写不可移动的、非易失性磁介质(图5未显示,通常称为“硬盘驱动器”)。尽管图5中未示出,可以提供用于对可移动非易失性磁盘(例如“软盘”)读写的磁盘驱动器,以及对可移动非易失性光盘(例如CD-ROM,DVD-ROM或者其它光介质)读写的光盘驱动器。在这些情况下,每个驱动器可以通过一个或者多个数据介质接口与总线507相连。存储器504可以包括至少一个程序产品,该程序产品具有一组(例如至少一个)程序模块,这些程序模块被配置以执行本发明各实施例的功能。
具有一组(至少一个)程序模块5045的程序/实用工具5044,可以存储在例如存储器504中,这样的程序模块5045包括但不限于操作系统、一个或者多个应用程序、其它程序模块以及程序数据,这些示例中的每一个或某种组合中可能包括网络环境的实现。程序模块5045通常执行本发明所描述的实施例中的功能和/或方法。
计算设备500也可以与一个或多个外部设备506(例如键盘、指向设备、显示器502等)通信,还可与一个或者多个使得用户能与该计算设备500交互的设备通信,和/或与使得该计算设备500能与一个或多个其它计算设备进行通信的任何设备(例如网卡,调制解调器等等)通信。这种通信可以通过输入/输出(I/O)接口,即I/O接口503进行。并且,计算设备500还可以通过网络适配器505与一个或者多个网络(例如局域网(LAN),广域网(WAN)和/或公共网络,例如因特网)通信。如图5所示,网络适配器505通过总线507与计算设备500的其它模块通信。应当明白,尽管在图5中未示出,可以结合计算设备500使用其它硬件和/或软件模块,包括但不限于:微代码、设备驱动器、冗余处理单元、外部磁盘驱动阵列、RAID系统、磁带驱动器以及数据备份存储系统等。
处理器单元501通过运行存储在存储器504中的程序,从而执行各种功能应用以及数据处理,例如实现本发明实施例提供的图标检测脚本的生成方法。
本发明的另一个实施例提供了一种计算机可读存储介质,其上存储有计算机程序,该程序被一个或多个处理器执行时实现本发明实施例提供的图标检测脚本的生成方法:
在实际应用中,所述计算机可读存储介质可以采用一个或多个计算机可读的介质的任意组合。计算机可读介质可以是计算机可读信号介质
或者计算机可读存储介质。计算机可读存储介质例如可以是但不限于电、磁、光、电磁、红外线、或半导体的系统、装置或器件,或者任意以上的组合。计算机可读存储介质的更具体的例子(非穷举的列表)包括:具有一个或多个导线的电连接、便携式计算机磁盘、硬盘、随机存取存储器(RAM)、只读存储器(ROM)、可擦式可编程只读存储器(EPROM或闪存)、光纤、便携式紧凑磁盘只读存储器(CD-ROM)、光存储器件、磁存储器件、或者上述的任意合适的组合。在本发明的一个实施例中,计算机可读存储介质可以是任何包含或存储程序的有形介质,该程序可以被指令执行系统、装置或者器件使用或者与其结合使用。
计算机可读的信号介质可以包括在基带中或者作为载波一部分传播的数据信号,其中承载了计算机可读的程序代码。这种传播的数据信号可以采用多种形式,包括但不限于电磁信号、光信号或上述的任意合适的组合。计算机可读的信号介质还可以是计算机可读存储介质以外的任何计算机可读介质,该计算机可读介质可以发送、传播或者传输用于由指令执行系统、装置或者器件使用或者与其结合使用的程序。
计算机可读介质上包含的程序代码可以用任何适当的介质传输,包括但不限于无线、电线、光缆、RF等等,或者上述的任意合适的组合。
可以以一种或多种程序设计语言或其组合来编写用于执行本发明操作的计算机程序代码,所述程序设计语言包括面向对象的程序设计语言—诸如Java、Smalltalk、C++,还包括常规的过程式程序设计语言—诸如“C”语言或类似的程序设计语言。程序代码可以完全地在用户计算机上执行、部分地在用户计算机上执行、作为一个独立的软件包执行、部分在用户计算机上部分在远程计算机上执行、或者完全在远程计算机或服务器上执行。在涉及远程计算机的情形中,远程计算机可以通过任意种类的网络—包括局域网(LAN)或广域网(WAN)—连接到用户计算机,或者,可以连接到外部计算机(例如利用因特网服务提供商来通过因特网连接)。
上面对本发明所提供的图标检测脚本的生成方法、设备及存储介质进行了详细的说明。对本领域的一般技术人员而言,在不背离本发明实质内容的前提下对它所做的任何显而易见的改动,都将构成对本发明专利权的侵犯,将承担相应的法律责任。
Claims (10)
- 一种图标检测脚本的生成方法,其特征在于包括:根据测试实例确定目标图标;获取目标图标在车机上被显示的状态信息,根据所述状态信息提取对应的状态参数,所述状态参数可用于确定状态信息;根据状态参数以及预置检测函数生成图标检测脚本,以通过生成的图标检测脚本对车机的图标展示进行测试。
- 如权利要求1所述的生成方法,其特征在于所述获取目标图标在车机上被显示的状态信息,包括:根据目标图标的标识,获取与不同车机类型匹配的状态信息,以在匹配的车机上进行显示目标图标。
- 如权利要求1所述的生成方法,其特征在于所述根据状态参数以及预置检测函数生成图标检测脚本,包括:将提取到的状态参数填充到预置检测函数中,生成图标检测脚本。
- 如权利要求1所述的生成方法,其特征在于还包括:确定是否对状态信息进行分句;若是,则对状态信息进行分句,并确定分句之间的时序关系;针对每个分句提取对应的状态参数,根据所述时序关系、分句对应的状态参数以及预置检测函数生成图标检测脚本。
- 如权利要求4所述的生成方法,其特征在于所述根据所述时序关系、分句对应的状态参数以及预置检测函数生成图标检测脚本,包括:根据时序关系,将分句对应的状态参数依次填充到预置检测函数中,生成图标检测脚本。
- 如权利要求1所述的生成方法,其特征在于还包括:获取目标图标的展示位置,并将展示位置补充到状态参数中。
- 如权利要求1所述的生成方法,其特征在于还包括:运行生成的图标检测脚本,确定目标图标对应的显示结果;获取车机显示目标图标对应的展示结果,根据所述显示结果以及展示结果进行对比,以完成检测。
- 如权利要求3所述的生成方法,其特征在于还包括:将状态参数进行转化为满足预置检测函数的预置参数,以填充到预置检测函数中,生成图标检测脚本。
- 一种计算设备,其特征在于包括存储器和处理器,所述存储器与所述处理器耦接;其中,所述存储器,用于存储计算机程序;所述处理器,执行所述计算机程序,以用于:根据测试实例确定目标图标;获取目标图标在车机上被显示的状态信息,根据所述状态信息提取对应的状态参数,所述状态参数可用于确定状态信息;根据状态参数以及预置检测函数生成图标检测脚本,以通过生成的图标检测脚本对车机的图标展示进行测试。
- 一种存储有计算机程序的计算机可读存储介质,其特征在于所述计算机程序被一个或多个处理器执行时,使所述一个或多个处理器实现权利要求1~8任意一项所述生成方法中的步骤。
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