CN115982018B - UI test method, system, computer device and storage medium based on OCR - Google Patents
UI test method, system, computer device and storage medium based on OCR Download PDFInfo
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- CN115982018B CN115982018B CN202211660355.4A CN202211660355A CN115982018B CN 115982018 B CN115982018 B CN 115982018B CN 202211660355 A CN202211660355 A CN 202211660355A CN 115982018 B CN115982018 B CN 115982018B
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- 238000012360 testing method Methods 0.000 claims abstract description 51
- 238000000034 method Methods 0.000 claims abstract description 41
- 230000008569 process Effects 0.000 claims abstract description 11
- 230000006870 function Effects 0.000 claims description 17
- 230000006399 behavior Effects 0.000 claims description 13
- 238000004590 computer program Methods 0.000 claims description 13
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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Abstract
The invention discloses a UI test method, a system, a computer device and a storage medium based on OCR, which comprises the steps of compiling a target program, linking a Sanitizer runtime library, acquiring target error information of the target program, linking a Sdk runtime library, writing error information obtained by the target program acquired by the Sdk runtime library into a pipeline, starting a vnc client by Sdk, starting a vnc server by the vnc client, starting a tested program by the vnc server, reading interface information of the tested program by the vnc client, analyzing the position of a target character by OCR, inputting corresponding operation by an image object edge recognition function, synthesizing all images in the interface information of the tested program into a target video when the error information of the pipeline is read, transmitting the error information and the target video in the test process to a platform, and finally displaying the error information and the target video through the platform. In the UI test, more accurate events are input. And useless operation is reduced, and the testing efficiency is improved.
Description
Technical Field
The present application relates to the field of UI testing technologies based on OCR, and in particular, to a UI testing method, system, computer device, and storage medium based on OCR.
Background
The interface test is called UI test for short, and is used for testing whether the layout of the functional modules of the user interface is reasonable, the overall style is consistent, the placement positions of the controls are consistent with the use habit of the client, and further testing the operation convenience of the interface, the simplicity and the intelligibility of navigation, the usability of page elements, whether characters in the interface are correct, the naming is uniform, the page is attractive, and the combination of the characters and the pictures is perfect.
The existing UI tester technology mainly sends pseudo-random user event streams, such as key input, touch screen input, gesture input and the like, to a system through positions where elements appear, element identifiers (such as menus, buttons, icons, text boxes, lists, dialog boxes and the like), element IDs in the testing process. To drive system events to occur and to view the performance of the system. The following problems exist in the existing test methods:
recording operation macros, most of the current ui tests are recording operation macros, so as to realize the purpose of automatic operation. Once the interface of the recording operation macro is inconsistent with the current operation interface, the test program operation errors are caused, such as screen verification, display of new GUI elements, change of the sizes and positions of UI elements, change of screen display under the conditions of characters and arrangement thereof, availability conditions, data integrity and the like, and the test program operation errors are caused.
Based on the UI test of the program, the functions of the components in the program are called to achieve the purpose of UI test, for example, a QT program, developers do not set identifiers or IDs for the elements, the IDs of the interface elements are different after restarting, and the elements cannot be identified through the IDs.
The UI test is performed by using an element searching method, and most of the method is only suitable for UI test of the web front end, and other methods cannot identify element identifiers at all. For example, in a Java Swing application, elements cannot be identified using element lookup.
Disclosure of Invention
Based on the above, aiming at the technical problems, an UI test method, a system, a computer device and a storage medium based on OCR are provided to solve the problems that when the interface of a recording operation macro is inconsistent with the current operation interface in the existing test method, the test program is in error operation, elements cannot be identified through ID and element identifiers cannot be identified.
In a first aspect, a method for testing an OCR-based UI, the method comprising:
compiling a target program;
linking the Sanitizer runtime library and acquiring target error information of the target program;
the method comprises the steps of linking Sdk a runtime library and writing error reporting information obtained by a target program acquired by the Sdk runtime library into a pipeline;
the Sdk starts a vnc client, the vnc client starts a vnc server, and the vnc server starts a tested program;
the vnc client reads the interface information of the tested program, analyzes the position of the target character and inputs corresponding operation through ocr, synthesizes all images in the interface information of the tested program into a target video when the error information of the pipeline is read, and sends the error information and the target video of the testing process to a platform;
the platform presents error information and a target video.
In the above solution, optionally, the linking the saitatizer runtime library, and obtaining target error information of the target program, where the target error information includes: memory problems, undefined behavior, memory leaks, and abort problems in the target program.
In the above solution, further optionally, the Sdk runtime library has a function of obtaining the error reporting information when the memory problem, undefined behavior, memory leak and abort error of the target program are found, and writing the error reporting information into the pipeline.
In the above solution, further optionally, the vnc client has a function of acquiring a tested program interface, transmitting a keyboard and mouse operation to the tested program, reading a pipeline, acquiring a tested program error report, and uploading error report information to the UI test display platform.
In a second aspect, an OCR-based UI test system, the system comprising:
and a compiling module: for compiling a target program;
the acquisition module is used for: the method comprises the steps of linking a Sanitizer runtime library and acquiring target error information of the target program;
and an operation module: the system is used for linking the Sdk runtime library and writing error reporting information obtained by the target program acquired by the Sdk runtime library into a pipeline;
and a starting module: the method comprises the steps that the Sdk is used for starting a vnc client, the vnc client starts a vnc server, and the vnc server starts a tested program;
and a testing module: the method comprises the steps that a vnc client reads tested program interface information, a ocr analysis target character position and an image object edge recognition function input corresponding operation are carried out, when error information of a pipeline is read, all images in the tested program interface information are synthesized into a target video, and the error information and the target video of a testing process are sent to a platform;
and a display module: the method is used for displaying error information and target video by the platform.
In the above solution, optionally, the obtaining module links a saitizer runtime library, and obtains target error information of the target program, where the target error information includes: memory problems, undefined behavior, memory leaks, and abort problems in the target program.
In the above solution, further optionally, the runtime library in the runtime module Sdk has a function of obtaining the error reporting information when the memory problem, undefined behavior, memory leak and abort error of the target program are found, and writing the error reporting information into the pipeline.
In the above scheme, further optionally, the vnc client in the test module has the functions of acquiring the tested program interface, transmitting keyboard and mouse operations to the tested program, reading the pipeline to acquire the tested program error report and uploading the error report information to the UI test display platform.
In a third aspect, a computer device comprises a memory storing a computer program and a processor implementing the following steps when executing the computer program:
compiling a target program;
linking the Sanitizer runtime library and acquiring target error information of the target program;
the method comprises the steps of linking Sdk a runtime library and writing error reporting information obtained by a target program acquired by the Sdk runtime library into a pipeline;
the Sdk starts a vnc client, the vnc client starts a vnc server, and the vnc server starts a tested program;
the vnc client reads the tested program interface information, analyzes the target character position and inputs corresponding operation through ocr, synthesizes all images in the tested program interface information into a target video when the error information of the pipeline is read, and sends the error information and the target video of the testing process to a platform:
the platform presents error information and a target video.
In a fourth aspect, a computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:
compiling a target program;
linking the Sanitizer runtime library and acquiring target error information of the target program;
the method comprises the steps of linking Sdk a runtime library and writing error reporting information obtained by a target program acquired by the Sdk runtime library into a pipeline;
the Sdk starts a vnc client, the vnc client starts a vnc server, and the vnc server starts a tested program;
the vnc client reads the tested program interface information, analyzes the target character position and inputs corresponding operation through ocr, synthesizes all images in the tested program interface information into a target video when the error information of the pipeline is read, and sends the error information and the target video of the testing process to a platform:
the platform presents error information and a target video.
The invention has at least the following beneficial effects:
based on further analysis and research on the prior art, the invention recognizes that when the interface of a recording operation macro is inconsistent with the current operation interface in the prior test method, the operation error of the test program can be caused, the ID identification element and the identification element identifier can not be identified. In contrast to the prior art, the present application uses OCR to recognize on-screen image elements, as well as element types. For text element joining NLP natural language processing, an acceptable input type for an image input element is identified, such as a mouse, keyboard, or touch event. The method avoids the problems of uncertain identifiers, unrecognizable elements and the like when the screen changes. Adding a sanitizer at compile time can capture various problems with the program. Recording the input event and video and stack information can facilitate error reproduction. In the UI test, a more accurate event is input. And useless operation is reduced, and the testing efficiency is improved.
Drawings
Fig. 1 is a flow chart of an OCR-based UI test method according to an embodiment of the present invention:
fig. 2 is a schematic diagram of a test compiling operation flow of an OCR-based UI test method according to an embodiment of the present invention:
FIG. 3 is a schematic diagram of a testing operation flow of an OCR-based UI testing method according to an embodiment of the invention;
fig. 4 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
In one embodiment, as shown in FIG. 1, there is provided an OCR-based UI testing method comprising the steps of:
compiling a target program;
linking the Sanitizer runtime library and acquiring target error information of the target program;
the method comprises the steps of linking Sdk a runtime library and writing error reporting information obtained by a target program acquired by the Sdk runtime library into a pipeline;
the Sdk starts a vnc client, the vnc client starts a vnc server, and the vnc server starts a tested program;
the vnc client reads the tested program interface information, analyzes the target character position and inputs corresponding operation through ocr, synthesizes all images in the tested program interface information into a target video when the error information of the pipeline is read, and sends the error information and the target video of the testing process to a platform:
the platform presents error information and a target video.
In one embodiment, the link saitatizer runtime library obtains the target error information of the target program, where the target error information includes: memory problems, undefined behavior, memory leaks, and abort problems in the target program.
In one embodiment, the Sdk runtime library has the function of finding out the memory problem, undefined behavior, memory leak and abort errors of the target program and obtaining the error reporting information to write into the pipeline.
In one embodiment, the vnc client has the functions of acquiring the tested program interface, transmitting keyboard and mouse operations to the tested program, reading the pipeline to acquire the tested program error report and uploading the error report information to the UI test display platform.
In one embodiment, as shown in FIGS. 2 and 3, the target program is compiled, the link Sanitizer runtime library may discover memory problems, undefined behavior, memory leaks, abort-able errors, modify the Sanitizer add callback to get error information, the link Sdk runtime library, and the sdk runtime library gets error information of the target program to interact with sdk information.
The target program is run and the tested program is started using sdk to monitor errors and operating conditions.
And (3) testing the target program, reading target interface information through the VNC, analyzing the interface, sending a corresponding event, and recording a screen and the event when the error is triggered. The platform displays the event triggering the error and a section of video in which the error occurs.
According to the embodiment, a target program is compiled, a Sanitizer runtime library is linked, target error information of the target program is obtained, the Sanitizer runtime library is linked Sdk, error information obtained by the target program obtained by the Sdk runtime library is written into a pipeline, a vnc client is started by Sdk, a vnc server is started by the vnc client, a tested program is started by the vnc server, interface information of the tested program is read by the vnc client, corresponding operations are input through ocr analysis of target character positions and image object edge recognition functions, all images in the interface information of the tested program are synthesized into target videos when the error information of the pipeline is read, the error information and the target videos of a testing process are sent to a platform, and finally the error information and the target videos are displayed through the platform. In contrast to the prior art, the present embodiment uses OCR to recognize on-screen image elements, as well as element types. For text element joining NLP natural language processing, an acceptable input type for an image input element is identified, such as a mouse, keyboard, or touch event. The method avoids the problems of uncertain identifiers, unrecognizable elements and the like when the screen changes. Adding a sanitizer at compile time can capture various problems with the program. Recording the input event and video and stack information can facilitate error reproduction. In the UI test, a more accurate event is input. And useless operation is reduced, and the testing efficiency is improved.
It should be understood that, although the steps in the flowchart of fig. 1 are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least a portion of the steps in fig. 1 may include a plurality of steps or stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily sequential, but may be performed in rotation or alternatively with at least a portion of the steps or stages in other steps or other steps.
In one embodiment, as shown in FIG. XX, an OCR-based UI testing system is provided, comprising the following program modules:
and a compiling module: for compiling a target program;
the acquisition module is used for: the method comprises the steps of linking a Sanitizer runtime library and acquiring target error information of the target program;
and an operation module: the system is used for linking the Sdk runtime library and writing error reporting information obtained by the target program acquired by the Sdk runtime library into a pipeline;
and a starting module: the method comprises the steps that the Sdk is used for starting a vnc client, the vnc client starts a vnc server, and the vnc server starts a tested program;
and a testing module: the method comprises the steps that a vnc client reads tested program interface information, a ocr analysis target character position and an image object edge recognition function input corresponding operation are carried out, when error information of a pipeline is read, all images in the tested program interface information are synthesized into a target video, and the error information and the target video of a testing process are sent to a platform;
and a display module: the method is used for displaying error information and target video by the platform.
In one embodiment, the obtaining module links the saitatizer runtime library, and obtains the target error information of the target program, where the target error information includes: memory problems, undefined behavior, memory leaks, and abort problems in the target program.
In one embodiment, the Sdk runtime library in the runtime module has the function of obtaining the error reporting information when the memory problem, undefined behavior, memory leak and abort error of the target program are found to be written into the pipeline.
In one embodiment, the vnc client in the test module has the functions of acquiring the tested program interface, transmitting keyboard and mouse operations to the tested program, reading the pipeline to acquire the tested program error report and uploading the error report information to the UI test display platform.
For specific limitations regarding the OCR-based UI test system, reference may be made to the limitations of the OCR-based UI test method hereinabove, and no further description is given herein. The various modules in the OCR-based UI test system described above may be implemented in whole or in part by software, hardware, and combinations thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a terminal, and an internal structure diagram thereof may be shown in fig. Y. The computer device includes a processor, a memory, a communication interface, a display screen, and an input system connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile 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 the operating system and computer programs in the non-volatile storage media. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, an operator network, NFC (near field communication) or other technologies. The computer program, when executed by a processor, implements an OCR-based UI test method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input system of the computer equipment can be a touch layer covered on the display screen, can also be keys, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the structures shown in FIG. 4 are block diagrams only and do not constitute a limitation of the computer device on which the present aspects apply, and that a particular computer device may include more or less components than those shown, or may combine some of the components, or have a different arrangement of components.
In one embodiment, a computer device is provided, including a memory and a processor, the memory having stored therein a computer program, involving all or part of the flow of the methods of the embodiments described above.
In one embodiment, a computer readable storage medium having a computer program stored thereon is provided, involving all or part of the flow of the methods of the embodiments described above.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, or the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples merely represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the invention. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application is to be determined by the claims appended hereto.
Claims (4)
1. An OCR-based UI test method, the method comprising:
compiling a target program;
linking the Sanitizer runtime library and acquiring target error information of the target program;
the method comprises the steps of linking Sdk a runtime library and writing error reporting information obtained by a target program acquired by the Sdk runtime library into a pipeline;
the Sdk starts a vnc client, the vnc client starts a vnc server, and the vnc server starts a tested program;
the vnc client reads the interface information of the tested program, analyzes the position of the target character and inputs corresponding operation through ocr, synthesizes all images in the interface information of the tested program into a target video when the error information of the pipeline is read, and sends the error information and the target video of the testing process to a platform;
the platform displays error information and a target video;
the target error information includes: memory problems, undefined behavior, memory leaks, and abort problems in the target program;
the vnc client has the functions of acquiring a tested program interface, transmitting keyboard and mouse operations to a tested program, reading a pipeline to acquire a tested program error report and uploading error information to a UI test display platform;
the Sdk runtime library has the function of obtaining error reporting information when the memory problem, undefined behavior, memory leakage and abnormal suspension error of the target program are found and writing the error reporting information into the pipeline.
2. An OCR-based UI test system, the system comprising:
and a compiling module: for compiling a target program;
the acquisition module is used for: the method comprises the steps of linking a Sanitizer runtime library and acquiring target error information of the target program;
and an operation module: the system is used for linking the Sdk runtime library and writing error reporting information obtained by the target program acquired by the Sdk runtime library into a pipeline;
and a starting module: the method comprises the steps that the Sdk is used for starting a vnc client, the vnc client starts a vnc server, and the vnc server starts a tested program;
and a testing module: the method comprises the steps that a vnc client reads tested program interface information, a ocr analysis target character position and an image object edge recognition function input corresponding operation are carried out, when error information of a pipeline is read, all images in the tested program interface information are synthesized into a target video, and the error information and the target video of a testing process are sent to a platform;
and a display module: the platform is used for displaying error information and target video;
the target error information includes: memory problems, undefined behavior, memory leaks, and abort problems in the target program;
the vnc client in the test module has the functions of acquiring a tested program interface, transmitting keyboard and mouse operations to the tested program, reading a pipeline to acquire a tested program error report and uploading error information to the UI test display platform;
the Sdk runtime library in the runtime module has the function of obtaining error reporting information when the memory problem, undefined behavior, memory leakage and abnormal suspension error of the target program are found and writing the error reporting information into the pipeline.
3. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of claim 1 when executing the computer program.
4. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of claim 1.
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