CN108509342A - A kind of precisely quick App automated testing methods - Google Patents
A kind of precisely quick App automated testing methods Download PDFInfo
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- CN108509342A CN108509342A CN201810299045.1A CN201810299045A CN108509342A CN 108509342 A CN108509342 A CN 108509342A CN 201810299045 A CN201810299045 A CN 201810299045A CN 108509342 A CN108509342 A CN 108509342A
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Abstract
The invention discloses a kind of precisely quick App automated testing methods, including installation App to be measured in the first Devices to test and to run App to be measured, and test script recording is carried out to App to be measured on testing computer；The corresponding page of each testing procedure during to obtaining test script matches corresponding recognition mechanism, and is stored to the test script information of match cognization mechanism；App and test script information to be measured is imported in the second Devices to test, App to be measured and test script information are run in the second Devices to test, testing computer obtains each single item testing procedure in the test script information of match cognization mechanism automatically, and carries out precise positioning to App to be measured using different localization methods automatically by the matched recognition mechanism of each testing procedure corresponding page institute and test automatically；The present invention can complete the precise positioning of screen UI elements, to realize the promotion of test automation accuracy and efficiency by three kinds of mechanism such as control/OCR/ image recognitions.
Description
Technical field
The invention belongs to the technical fields of App tests, specifically, being related to a kind of precisely quick App automatic tests
Method.
Background technology
It lives indispensable component part as mobile Internet has become people, mobile App has become each row
The standard way of each industry linking client, therefore the quality of App is most important；The quality of App is influenced by several factors, wherein day
The fragmentation of the increased functional characteristic of benefit and mobile terminal, characteristic are multiplied by the traversal of terminal quantity, allow the verification work of App
Amount increases, and the automatic test of App is to solve the problems, such as this effective means；Existing App automated testing methods are adopted mostly
The means identified with control, which are positioned so that App to be measured, completes App tests, and there are control recognition speed is slow for such methods
Cause low testing efficiency, control identification Wrong localization or control identification the App pages can not be identified positioning, to lead
The test error of cause is big, tests inaccurate drawback.
Invention content
For deficiency above-mentioned in the prior art, the present invention provides one kind on the basis of original control identification technology, draws
Enter image recognition and OCR (Optical Character Recognition) identification technology, when control identification is effective,
Using control recognition mechanism, when control identification is invalid, certainly using the OCR and accurate quick App of image recognition mechanism
Dynamicization test method.
In order to achieve the above object, the solution that the present invention uses is：A kind of precisely quick automatic test sides App
Method, including the first Devices to test, the second Devices to test, App to be measured and testing computer.
First Devices to test is communicated to connect with the testing computer, installs App to be measured in the first Devices to test
And the App to be measured is run, test script recording is carried out to the App to be measured on the testing computer.
The corresponding page of each testing procedure during to obtaining the test script matches corresponding recognition mechanism,
And the test script information of the mechanism of match cognization is stored.
Second Devices to test and the testing computer communicate to connect, import the App to be measured and it is described
Test script information with recognition mechanism runs the App to be measured in second Devices to test, in second Devices to test
And the test script information of the mechanism of match cognization, the testing computer obtain automatically described in match cognization mechanism
Test script information in each single item testing procedure, and pass through the corresponding matched identification of page institute of each described testing procedure
Mechanism carries out precise positioning and automatic test using different localization methods to the App to be measured automatically.
Further, during recording the test script, the user interface of the testing computer can be real
When show the screen content of first Devices to test so that tester can be by operating on the testing computer
App completes a test process to obtain test script.
Further, the recognition mechanism includes control recognition mechanism and image recognition mechanism.
Further, the corresponding page of each testing procedure matches the process of corresponding recognition mechanism in test script
In, the corresponding page of each step in test script recording process is observed, checks whether each page has unique mark,
If the page has unique mark, the control recognition mechanism is matched to the page and stores corresponding playback mark,
Described image recognition mechanism is matched to the page if the page does not have unique mark and stores corresponding playback mark.
Further, described image recognition mechanism includes that the text identification to the page and the picture to the page are known
Not.
Further, during testing the App to be measured on second Devices to test, the test
An operating procedure in the test script information of match cognization mechanism is obtained automatically with computer, according to the operating procedure
Playback mark in the corresponding page matches corresponding localization method to carry out precise positioning and automatic survey to the App to be measured
Examination.
Further, first Devices to test and second Devices to test are mobile phone.
The invention has the advantages that present inventor is the study found that general in existing App automatization testing techniques
Screen elements (such as button on App, input frame these UI elements) are positioned otherwise all over being known using control, are being transported
When row automatic test, first find control and correspond to the position of screen elements, then execute specific operation (such as click or text
This input), it can thus solve the problems, such as mobile terminal screen differences in resolution；But above-mentioned control knows method for distinguishing limitation
It is：Sometimes control can not unique mark, when leading to automatic test, find mistake position；Some Interface Elements
Element is directly exactly a region inside a width figure, has no unique control mark；Control positioning is just completely inaccurate in this way, such as
Hand trip just belongs to this pattern；The identification of H5 page controls has that speed is fairly slow；
For above the problems of the prior art, the present invention can be complete by three kinds of mechanism such as control/OCR/ image recognitions
At the precise positioning of screen UI elements, to realize the promotion of test automation accuracy and efficiency, supporting efficiency promoted because
It is known as：
A kind of analysis picture, by picture segmentation at the algorithm of element rectangle one by one, which passes through edge detecting technology
Obtain the profile of each element in picture, then to element outline boundary rectangle carry out expansion technique processing so that element it is thin
Section profile merges to obtain the boundary rectangle of complete each element, filters out and does not meet finally by some filter conditions of setting
It is required that element, just obtained the corresponding rectangle list of picture element；
A kind of picture Preprocessing Algorithm that can significantly improve OCR and image recognition rate, the algorithm pass through self-adaption binaryzation
Picture is converted to two-value picture by technology, and then using area Feature Extraction Technology obtains the profile of word or image in picture；
It is also achieved for Text region pretreatment between being automatically converted to images to be recognized around the algorithm and word of white gravoply, with black engraved characters
Every automatic filling, significantly improve the recognition success rate of follow-up OCR；Pretreatment is compared for image to carry by shape extractive technique
The shape feature for taking picture can significantly improve comparison accuracy rate for filtering is compared with picture shape feature to be compared；
A kind of OCR and image recognition algorithm of synthesis, image recognition are special with contour shape using KAZE features comparison technology
Sign comparison technology is combined, and has fitted the COMPREHENSIVE CALCULATING formula of the two comparison result；So that two kinds of comparison technologies are complementary to one another,
Significantly improve comparison accuracy；
In conjunction with above, the present invention introduces image recognition and OCR (Optical on the basis of original control identification technology
Character Recognition) identification technology, when control identification is effective, using control recognition mechanism, in control knowledge
When not invalid, using OCR and image recognition mechanism, the precise positioning of screen UI elements is completed, to realize that test is automatic
Change the promotion of accuracy and efficiency.
Description of the drawings
Fig. 1 is the testing process schematic diagram of test method of the present invention.
Specific implementation mode
Below in conjunction with attached drawing, the invention will be further described：
To make the object, technical solutions and advantages of the present invention clearer, the technical solution in the present invention is carried out below
It clearly and completely describes, it is clear that described embodiments are some of the embodiments of the present invention, instead of all the embodiments.Base
Embodiment in the present invention, those of ordinary skill in the art obtained without creative efforts it is all its
His embodiment, shall fall within the protection scope of the present invention.
Referring to Fig.1, the present invention provides a kind of precisely quick App automated testing methods, including the first Devices to test, the
Two Devices to test, App to be measured and testing computer；
First Devices to test is communicated to connect with the testing computer, installs App to be measured in the first Devices to test
And the App to be measured is run, test script recording is carried out to the App to be measured on the testing computer；It is tested
Script.
The corresponding page of each testing procedure during to obtaining the test script matches corresponding recognition mechanism,
And the test script information of the mechanism of match cognization is stored；The step of during observation click, see this control
Whether there is unique mark in the page, if there is unique mark, just selects control identification, and CTL marks are increased to this step
Label, if this control is unable to unique mark in the page, selection enters image model, entire picture is analyzed, using autonomous
Picture element is split by the element segments algorithm of research and development, is formed independent rectangular area one by one, is found element to be operated
Rectangular area, if the region has corresponded to a text, test system will recognise that a text object, text string are deposited
Storage is got up, and information OCR is indicated as playback；If rectangular area is not text, test system can be by the rectangular area picture letter
Breath stores, as playback identification information GPH；Each step is analyzed until the recognition mechanism for refreshing each step is
CTL/OCR/GPH, the script information storage after modification.
Second Devices to test and the testing computer communicate to connect, import the App to be measured and it is described
Test script information with recognition mechanism runs the App to be measured in second Devices to test, in second Devices to test
And the test script information of the mechanism of match cognization, the testing computer obtain automatically described in match cognization mechanism
Test script information in each single item testing procedure, and pass through the corresponding matched identification of page institute of each described testing procedure
Mechanism carries out precise positioning and automatic test using different localization methods to the App to be measured automatically.
Further, during recording the test script, the user interface of the testing computer can be real
When show the screen content of first Devices to test so that tester can be by operating on the testing computer
App completes a test process to obtain test script.
Recognition mechanism described in this test method includes control recognition mechanism and image recognition mechanism.
During the corresponding page of each testing procedure in test script matches corresponding recognition mechanism, observation is surveyed
The corresponding page of each step in this recording process of training, checks whether each page has unique mark, if described
The page has unique mark, then matches the control recognition mechanism to the page and store corresponding playback mark, if described
The page does not have unique mark then to match described image recognition mechanism to the page and stores corresponding playback mark.
In the present embodiment, described image recognition mechanism includes the text identification to the page and the picture to the page
Identification.
During testing the App to be measured on second Devices to test, the testing computer
Automatic obtain one operating procedure in the test script information of match cognization mechanism, according to the corresponding page of the operating procedure
Playback mark in face matches corresponding localization method to carry out precise positioning and automatic test to the App to be measured.
Further, first Devices to test and second Devices to test are mobile phone.
The test method of the present embodiment is described in further details below, EagleEye is named to this testing scheme,
EagleEye is placed on testing computer：
Step1:Test script is recorded
Mobile phone is connected to by USB line on PC by mobile phone open developer's pattern, and EagleEye recognizes mobile phone；
Start and record, tested App can be installed on mobile phone by EagleEye, and start operation, on the interfaces EagleEye
It can be seen that the screen picture of mobile phone；
By mouse and keyboard clicking operation App on EagleEye, a test process (use-case) is completed, in this mistake
Cheng Zhong, EagleEye can store each picture of App, while save the screen control tree letter of each picture
Breath；
Step2:Test script is analyzed
The step of during 2.1 observation clicks, see whether this control has unique mark in the page, if there is unique
Mark just selects control identification, CTL marks is denoted as, into 2.3；
If 2.2 are unable to unique mark, selection enters image model；
2.2.1EagleEye entire picture is analyzed, is divided picture element using the element segments algorithm of independent research
It cuts, forms independent rectangular area one by one；
2.2.2 the rectangular area of element to be operated is found, if the region has corresponded to a text, EagleEye can be identified
Go out a text object, text string is stored, and information OCR is indicated as playback；
2.2.3 if rectangular area is not text, Eagle Eye can store the rectangular area pictorial information, make
To play back identification information GPH；
2.3 each step of analysis are CTL/OCR/GPH until the recognition mechanism for refreshing each step, after modification
Script information be stored as Replay.script；
Step3:Test script automation playback
3.1 connect a mobile phone by EagleEye systems, can be the mobile phone of disposable type, and recognize mobile phone；
3.2 are attached to tested App on mobile phone by EagleEye systems, and are behaved；
3.3 load Replay.script automatic test scripts by EagleEye, and EagleEye executes the script；
3.3.1 an operating procedure is obtained；
3.3.2 if the step is CTL marks；
3.3.2.1 App screen control list objects are obtained；
3.3.2.2 specific screen control is found by CTL identification informations；
3.3.2.3 the rectangle frame position of the control is obtained；
3.3.2.4 operation (clicking, sliding, input text etc.) is implemented to the position；
Into 3.3.5
3.3.3 if the step is OCR marks；
Picture element is split by 3.3.3.1 analysis screen picture using the element segments algorithm of independent research, is formed
Rectangular area one by one；
3.3.3.2 all rectangular areas are analyzed, by coordinate ratio in length and breadth, numerous regions is filtered, mistake
Filter apparent incongruent region；
3.3.3.3 remaining rectangle frame is pre-processed using the picture Preprocessing Algorithm of independent research, is significantly carried
The recognition correct rate of high follow-up OCR；
3.3.3.4 to carrying out OCR analyses by pretreated rectangle frame image, text data is obtained, OCR processes use
The Tesseract technologies that Google increases income, to get TXT lists TXT [] one by one；
3.3.3.5 the word in TXT [] list is matched with OCR words, the content for meeting text comparison condition is
TXT[i]；
3.3.3.6 the corresponding rectangle positions of TXT [i] are obtained；
3.3.3.7 operation (clicking, sliding, input text etc.) is implemented to the position；
Into 3.3.5
3.3.4 if the step is GPH marks；
Picture element is split by 3.3.4.1 analysis screen picture using the element segments algorithm of independent research, is formed
Rectangular area one by one；
3.3.4.2 all rectangular areas are analyzed, by coordinate ratio in length and breadth, numerous regions is filtered, mistake
Filter apparent incongruent region；
3.3.4.3 remaining rectangle frame is pre-processed using the picture Preprocessing Algorithm of independent research, is significantly carried
High subsequent image matches accuracy；
3.3.4.4 to passing through the picture in pretreated rectangle, with the pictorial information by same pretreated GPH marks
Carry out fuzzy matching；
3.3.4.5 the highest rectangle frame of matching degree is assumed to be RECT [i]；
3.3.4.6 operation (clicking, sliding, input text etc.) is implemented to the position；
Into 3.3.5
3.3.5 3.3.1~3.3.4 is repeated, until entire test script terminates.
The present invention introduces image recognition and OCR (Optical on the basis of original control identification technology
Character Recognition) identification technology, when control identification is effective, using control recognition mechanism, in control knowledge
When not invalid, using OCR and image recognition mechanism, the precise positioning of screen UI elements is completed, to realize that test is automatic
Change the promotion of accuracy and efficiency.
Finally it should be noted that：The above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although
Present invention has been described in detail with reference to the aforementioned embodiments, it will be understood by those of ordinary skill in the art that：It still may be used
With technical scheme described in the above embodiments is modified or equivalent replacement of some of the technical features；
And these modifications or replacements, various embodiments of the present invention technical solution that it does not separate the essence of the corresponding technical solution spirit and
Range.
Claims (7)
1. a kind of precisely quick App automated testing methods, it is characterized in that：Including the first Devices to test, the second Devices to test,
App and testing computer to be measured；
First Devices to test is communicated to connect with the testing computer, is installed App to be measured in the first Devices to test and is transported
The row App to be measured carries out test script recording on the testing computer to the App to be measured；
The corresponding page of each testing procedure during to obtaining the test script matches corresponding recognition mechanism, and right
The test script information of the mechanism of match cognization is stored；
Second Devices to test and the testing computer communicate to connect, and import the App to be measured and described have matched knowledge
The test script information of other mechanism runs the App to be measured and institute in second Devices to test, in second Devices to test
State the test script information of match cognization mechanism, the testing computer obtain automatically described in match cognization mechanism survey
The each single item testing procedure in script information is tried, and passes through the corresponding matched recognition mechanism of page institute of each described testing procedure
Automatically precise positioning and automatic test are carried out to the App to be measured using different localization methods.
2. accurate quickly App automated testing methods according to claim 1, it is characterized in that：Recording the test foot
During this, the user interface of the testing computer can with the screen content of the first Devices to test described in real-time display with
Allow tester by operating App on the testing computer, completes a test process to obtain test script.
3. accurate quickly App automated testing methods according to claim 1, it is characterized in that：The recognition mechanism includes
Control recognition mechanism and image recognition mechanism.
4. accurate quickly App automated testing methods according to claim 3, it is characterized in that：It is every in test script
During the corresponding page of item testing procedure matches corresponding recognition mechanism, each step in test script recording process is observed
The rapid corresponding page, checks whether each page has unique mark, if the page has unique mark, to the page
Face matches the control recognition mechanism and stores corresponding playback mark, to the page if the page does not have unique mark
Face matches described image recognition mechanism and stores corresponding playback mark.
5. accurate quickly App automated testing methods according to claim 4, it is characterized in that：Described image recognition mechanism
Include the text identification to the page and the picture recognition to the page.
6. accurate quickly App automated testing methods according to claim 4, it is characterized in that：To be measured to described second
During the App to be measured in equipment is tested, the testing computer obtains a match cognization machine automatically
Operating procedure in the test script information of system, it is corresponding according to the playback mark matching in the corresponding page of the operating procedure
Localization method to the App to be measured to carry out precise positioning and automatic test.
7. accurate quickly App automated testing methods according to claim 1, it is characterized in that：First Devices to test
And second Devices to test is mobile phone.
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| CN109634859A (en) * | 2018-12-10 | 2019-04-16 | 宋航 | A kind of test method that control property identification is combined with image recognition |
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| CN109857674A (en) * | 2019-02-27 | 2019-06-07 | 上海优扬新媒信息技术有限公司 | A kind of recording and playback test method and relevant apparatus |
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