CN106547686A - Product test method and device - Google Patents
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- CN106547686A CN106547686A CN201610883992.6A CN201610883992A CN106547686A CN 106547686 A CN106547686 A CN 106547686A CN 201610883992 A CN201610883992 A CN 201610883992A CN 106547686 A CN106547686 A CN 106547686A
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- G06F11/36—Preventing errors by testing or debugging software
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Abstract
The application proposes a kind of product test method and device, wherein, the method includes：User action log is obtained, the User action log includes all query statements of the user in preset time period；According to the extraction strategy of setting, target journaling is extracted from the User action log；The target journaling is converted into into the structural data under different dimensions；By the structural data, run on the product of different editions, determine the set of the different query statements under different dimensions.Thus, by extracting target journaling, and target journaling is converted into into structural data, make the diff query of acquisition only related to optimisation strategy, and diff query are associated with different dimensions, the specific aim of diff query is improve, is determined according to diff query that for staff the quality of the product of different editions provides condition, is saved the analysis time to different editions product.
Description
Technical field
The application is related to software testing technology field, more particularly to a kind of product test method and device.
Background technology
Product test is an important step in product development process, in product different editions iterative process, due to
Policy optimization, the product of the latest edition that can be made can occur to become with the impact face of version (first version) product on line or income
Change, generally latest edition product impact face and after income reaches to a certain degree, the product of latest edition could be replaced
First product.
At present, in order to realize the test to different editions product, staff generally captures certain period of time interior lines first
Then this be integrated on the product of different editions and run, operation result is carried out by the set of upper all query (query statement)
Pure words are compared, and (result i.e. in different editions product is different to determine the set of diff query (different query statements)
The set of query), the proportion for then accounting for all query according to diff query determines the product and version on line of latest edition
The impact face of product, and results of the diff query in different editions is carried out into word contrast, determine diff in different editions
The proportion of the corresponding gsb of query (poor in good).
But, the test process of above-mentioned method of testing, the diff query specific aims of acquisition are poor, so as to according to diff
The process of the test result that query is obtained is complicated, and accuracy rate is low.
The content of the invention
The application is intended at least to solve to a certain extent one of technical problem in correlation technique.
For this purpose, first purpose of the application is to propose a kind of product test method, the method is by extracting target day
Will, and target journaling is converted into into structural data, make the diff query of acquisition only related to optimisation strategy, and diff
Query is associated with different dimensions, improves the specific aim of diff query, is that staff determines difference according to diff query
The quality of the product of version provides condition, saves the analysis time to different editions product.
Second purpose of the application is to propose a kind of product tester.
3rd purpose of the application is to propose a kind of product test terminal.
4th purpose of the application is to propose a kind of non-transitorycomputer readable storage medium.
5th purpose of the application is to propose a kind of computer program.
It is that, up to above-mentioned purpose, the application first aspect embodiment proposes a kind of product test method, including：Obtain user
User behaviors log, the User action log include all query statements of the user in preset time period；According to taking out for setting
Strategy is taken, and target journaling is extracted from the User action log；The target journaling is converted into into the structure under different dimensions
Change data；By the structural data, run on the product of different editions, determine different query statements under different dimensions
Set.
The product test method of the embodiment of the present application, obtains User action log first, then the extraction plan according to setting
Slightly, target journaling is extracted, then structural data target journaling being converted under different dimensions, then by structural data not
Run with the product of version, determine the diff query under different dimensions.Thus, by extracting target journaling, and by target
Daily record is converted into structural data, makes the diff query of acquisition only related to optimisation strategy, and diff query and different dimensional
Degree association, improves the specific aim of diff query, is the product that staff determines different editions according to diff query
It is good and bad to provide condition, save the analysis time to different editions product.
It is that, up to above-mentioned purpose, the application second aspect embodiment proposes a kind of product tester, including：Obtain mould
Block, for obtaining User action log, the User action log includes all inquiry languages of the user in preset time period
Sentence；Abstraction module, for the extraction strategy according to setting, extracts target journaling from the User action log；Conversion module,
For the target journaling is converted into the structural data under different dimensions；First determining module, for by the structuring
Data, run on the product of different editions, determine the set of the different query statements under different dimensions.
The product tester of the embodiment of the present application, obtains User action log first, then the extraction plan according to setting
Slightly, target journaling is extracted, then structural data target journaling being converted under different dimensions, then by structural data not
Run with the product of version, determine the diff query under different dimensions.Thus, by extracting target journaling, and by target
Daily record is converted into structural data, makes the diff query of acquisition only related to optimisation strategy, and diff query and different dimensional
Degree association, improves the specific aim of diff query, is the product that staff determines different editions according to diff query
It is good and bad to provide condition, save the analysis time to different editions product.
It is that, up to above-mentioned purpose, the application third aspect embodiment proposes a kind of product test terminal, including：Processor；
For storing the memorizer of processor executable；Wherein, the processor is configured to call the finger in the memorizer
Order, to carry out performing following operation：
User action log is obtained, the User action log includes all inquiry languages of the user in preset time period
Sentence；
According to the extraction strategy of setting, target journaling is extracted from the User action log；
The target journaling is converted into into the structural data under different dimensions；
By the structural data, run on the product of different editions, determine the different query statements under different dimensions
Set.
It is that, up to above-mentioned purpose, the application fourth aspect embodiment proposes a kind of non-transitorycomputer readable storage medium,
When computing device of the instruction in the storage medium by terminal so that terminal is able to carry out a kind of product test method,
Methods described includes：User action log is obtained, the User action log includes that user is all in preset time period
Query statement；According to the extraction strategy of setting, target journaling is extracted from the User action log；The target journaling is turned
Turn to the structural data under different dimensions；By the structural data, run on the product of different editions, determine different dimensional
The set of the different query statements under degree.
It is that the 5th aspect embodiment of the application proposes a kind of computer program, when the computer up to above-mentioned purpose
Instruction in program product is when executed by, and performs a kind of product test method, and methods described includes：Obtain user behavior
Daily record, the User action log include all query statements of the user in preset time period；According to the extraction plan of setting
Slightly, target journaling is extracted from the User action log；The structuring number target journaling being converted under different dimensions
According to；By the structural data, run on the product of different editions, determine the collection of the different query statements under different dimensions
Close.
Description of the drawings
Of the invention above-mentioned and/or additional aspect and advantage will become from the following description of the accompanying drawings of embodiments
It is substantially and easy to understand, wherein：
Fig. 1 is the flow chart of the product test method of the application one embodiment；
Fig. 2 is the flow chart of the product test method of the application another embodiment；
The diff query schematic diagrams of product test method determinations of the Fig. 3 to be provided according to the application；
The diff query classification schematic diagrams of product test method determinations of the Fig. 4 to be provided according to the application；
Fig. 5 is the pattern of the system replies that same diff query are recalled in the product of different editions respectively；
Fig. 6 is the structural representation of the product tester of the application one embodiment；
Fig. 7 is the structural representation of the product tester of the application another embodiment.
Specific embodiment
Embodiments herein is described below in detail, the example of the embodiment is shown in the drawings, wherein from start to finish
Same or similar label represents same or similar element or the element with same or like function.Below with reference to attached
The embodiment of figure description is exemplary, it is intended to for explaining the application, and it is not intended that restriction to the application.
Below with reference to the accompanying drawings the product test method and device of the embodiment of the present application is described.
Fig. 1 is the flow chart of the product test method of the application one embodiment.
As shown in figure 1, the product test method includes：
Step 101, obtains User action log, and the User action log includes institute of the user in preset time period
There is query statement.
Specifically, the executive agent of product test method provided in an embodiment of the present invention be product tester, the product
Test device is can apply in the terminal unit with product test function.Wherein, the type of terminal unit is a lot, for example：
Smart mobile phone, panel computer, computer etc..
Wherein, the default time period can select as needed, be such as one day, one week etc..In User action log,
User can be included within the default time period, when the information of all operations for carrying out in the product, such as user name, daily record
Between, product systems version, user place city, client type, query statement (query), the letter such as Query Result (answer)
Breath.
Step 102, according to the extraction strategy of setting, extracts target journaling from the User action log.
Specifically, due to being included in User action log in preset time period, user by various types of terminals,
The information of the operation carried out in the product of each version, and the product of latest edition is only certain of some version for product
The renewal of one function or several functions is perfect, or for the improvement that product is carried out used in certain type of terminal,
Therefore, it can the optimisation strategy first according to the product of latest edition, determine it is corresponding extract strategy, and then from user behavior day
In will, target journaling is extracted.
For example, if the version of the 5.1.3.3 only for determining Baidu and version 5.1.3.2 differences on line, then
Only from User action log, the daily record data of the operation that among version 5.1.3.2s carry out can be extracted；Or, if only to hundred
The ARIXTRA version of degree is changed, then day of the client type for Android system can be extracted only from User action log
Will is used as target journaling.
The target journaling is converted into the structural data under different dimensions by step 103.
Step 104, by the structural data, runs on the product of different editions, determines the difference under different dimensions
The set of query statement diff query.
Wherein, different dimensions include：User name, logging time, product version, client type, input mode, system are hung down
Class.
Specifically, as the iteration of product is typically the renewal or perfect of a certain item function of product or several functions, therefore,
In order to accurately confirm the product of latest edition and the difference of line adjustment of the printing plate this product, in the present embodiment, first target journaling is turned
Turn to structural data, then again on the product of different editions operating structure target journaling, such that it is able to obtain by excellent
Change the set of the diff query under the different dimensions that strategy brings, so that staff can be directly perceived according to diff query
Determination different editions difference of the product under different dimensions, and then determine the quality of different editions product, simplify test
Process.
Wherein, above-mentioned steps 103, can be accomplished in several ways：
Example one：
According to default dimension classification, the target journaling is converted into into the structural data under different dimensions.
Specifically, in product tester, can be with preset in advance dimension classification, so as to after target journaling is obtained, you can
Extract the corresponding data of different dimensions, structural texture data from target journaling respectively.
Example two：
According to the information type that the target journaling includes, the target journaling is converted into into the structure under different dimensions
Change data.
Specifically, as the information type that the target journaling of different product includes may be different, therefore can also basis
Various types of information that target journaling includes, such as user name, client type, product version, input mode, system are hung down
Class etc., so as to product tester, you can according to the information type that target journaling includes, target journaling is converted into into different dimensional
Structural data under degree.
The product test method of the embodiment of the present application, obtains User action log first, then the extraction plan according to setting
Slightly, target journaling is extracted, then structural data target journaling being converted under different dimensions, then by structural data not
Run with the product of version, determine the diff query under different dimensions.Thus, by extracting target journaling, and by target
Daily record is converted into structural data, makes the diff query of acquisition only related to optimisation strategy, and diff query and different dimensional
Degree association, improves the specific aim of diff query, is the product that staff determines different editions according to diff query
It is good and bad to provide condition, save the analysis time to different editions product.
By above-mentioned analysis, target journaling can be extracted from User action log according to the extraction strategy of setting,
And target journaling is converted into into structural data, so as to can determine that diff of the different editions product under different dimensions
Query, so that the diff query for obtaining are more targeted.As the product of different editions recalls ability to system replies
May be different, therefore, in order to further improve the specific aim of diff query, can be with the system replies according to different editions
Ability is recalled, diff query is further classified, said process is described in detail with reference to Fig. 2.
Fig. 2 is the flow chart of the product test method of the application another embodiment.
As shown in Fig. 2 the product test method may comprise steps of：
Step 201, obtains User action log, and the User action log includes institute of the user in preset time period
There is query statement.
Step 202, according to the optimisation strategy of latest edition product, determines the extraction strategy of the setting.
Step 203, according to the extraction strategy of setting, extracts target journaling from the User action log.
The target journaling, according to the information type that the target journaling includes, is converted into different dimensions by step 204
Under structural data.
Step 205, by the structural data, runs on the product of different editions, determines the diff under different dimensions
The set of query.
Step 206, according to the structural data, recalls state when running on the product of different editions, determines institute
State that different query statements are corresponding to recall status information.
Wherein, recalling status information includes：Expansion is recalled, is recalled and contracting is recalled.Expansion is recalled the product of version on i.e. line and is not had
There is the recalling system to reply, and the product recall of latest edition system replies；Recall finger and both recall system replies；Contracting
Recall finger line adjustment of the printing plate this product and recalled system replies, and the product of redaction does not have recalling system to reply.
Specifically, can when structural data is run on the product of different editions, according to different operation results,
Determine that different editions product recalls ability under different query, and then determined after diff query according to operation result, you can
It is determined that corresponding with diff query recall status information.
For example, the diff query schematic diagrams of product test method determinations of the Fig. 3 to be provided according to the application.
As shown in figure 3, by the extraction target journaling such as the vertical class according to product, client, operating system, version, and
After being separately operable on version (latest edition) under version and line on line, you can the corresponding daily record storage of different query statements for obtaining
Address and recall state.So that product development personnel can intuitively determine that latest edition product is excellent with line adjustment of the printing plate this product
It is bad.
Further, if a certain diff query are in the product of different editions, energy recalling system is replied, in order to enter one
Step is made a distinction to the diff query, can also judge what the diff query were recalled when running on the product of different editions
The pattern difference of system replies, i.e. the method also include：
Step 207, judges that the different query statements are corresponding and recalls whether state is to recall.
Wherein, recalling can recalling system answer when referring to that diff query are run on the product of different editions.
Step 208, if, it is determined that the different query statements on the product of different editions, the system replies recalled
Pattern difference.
At least one of wherein, the pattern of system replies, including following information：Number of cards, card pattern, card are suitable
The corresponding entity number of sequence, card and the corresponding entity of card.
The pattern difference of system replies, when referring to that diff query are run on the product of different editions, the system recalled
The quantity of the card included in answer whether the different, pattern of card or order whether different, the corresponding entity number of card is
No difference etc., so as to can further be classified to diff query.
As shown in figure 4, the diff query classification of product test method determinations of the Fig. 4 to be provided according to the application is illustrated
Figure.As shown in figure 4, recalling number of cards difference, the pattern of card or the order that state identical diff query is potentially included
Different, the corresponding entity number of card is not equal, higher so as to make to obtain diff query specific aims, more can intuitively show newest
The difference of version product and line adjustment of the printing plate this product, such that it is able to the product effect for affecting face and latest edition accurately to product
Accurately assessed.
Further, staff can also utilize the classification results of the diff query for determining, by diff Query couple
That what is answered recalls status information, shows diff query in the platform of simulation, so that staff is according to intuitively showing result,
The quality of product is further assessed.
Specifically, the client-side information that can be included according to target journaling, analog platform, so that the environment of simulation is more
Press close to real use.Accordingly, the method can also include：
Determine that different query statements distinguish corresponding client-side information under the different dimensions；
Corresponding client-side information is distinguished according to the different query statements, build the different query statements and correspond to respectively
Operation platform；
On the operation platform for building, the product of different editions is carried；
In the product of the different editions, the structural data is separately operable, it is determined that and showing different query statements
The pattern of the system replies recalled respectively.
For example, if the corresponding client of target journaling is " mobile phone Baidu ", can be according to the operation of mobile phone Baidu
Environment, builds corresponding operation platform, and after " the mobile phone Baidu " of different editions is then carried on the platform for building, rerun knot
Structure data, and show that different query statements distinguish corresponding system replies pattern, as shown in figure 5, Fig. 5 is same diff
The pattern of the system replies that query is recalled in the product of different editions respectively.
As shown in figure 5, diff query are " poplar power and Liu Kaiwei have divorced " by input through keyboard, corresponding system
Vertical class is film, by the system replies of the product recall of latest edition as shown in Figure 5 a, by the system of product recall on line
Reply as shown in Figure 5 b, do not include film in the system replies of the product recall that latest edition is can be seen that by Fig. 5 a and 5b, and
On line, the system replies of product recall include film, i.e., for " film " hangs down class, product and the product on line of latest edition
It is in a ratio of contracting to recall.
Staff according to show system replies pattern, product is entered to act charitably, in, difference assessment, such as from product
Form, i.e. system replies are that form shows with card, word, icon etc.；The pattern of card, i.e. system replies are with one
Card is opened, or various cards show；Whether the experience of product, include in system replies that experience of the user to product is commented on,
Comprehensive assessment, and tagged and scoring are carried out to diff query, subsequently to make problem statistics and analysis to product.Pass through
The system replies pattern of product on analog information latest edition product and line, allows staff more intuitively find out diff
Difference between query, more intuitively comments gsb, saves the assessment time of staff and reduces error rate.
The product test method of the embodiment of the present application, after User action log is obtained, according to the excellent of latest edition product
Change strategy, target journaling is extracted from User action log, the structuring number then target journaling being converted under different dimensions
According to, then structural data is run on the product of different editions, determine the set of the different query statements under different dimensions, so
State is recalled according to different query statements are corresponding afterwards, different query statements are carried out into classification analysises, and on the platform of simulation,
Show system replies pattern of the different query statements to application.Hereby it is achieved that the diff query for determining are only excellent with product
Change strategy related, improve the specific aim and accuracy of diff query, and diff query are carried out after classification analysises, in mould
Show on the display platform of plan so that staff can intuitively find out what diff query were recalled in different editions product
The difference of system replies, saves the time that staff is estimated to different editions product, reduces error rate.
In order to realize above-described embodiment, the application also proposes a kind of product tester.
Fig. 6 is the structural representation of the product tester of the application one embodiment.
As shown in fig. 6, the product tester includes：
Acquisition module 61, for obtaining User action log, the User action log includes user in Preset Time
All query statements in section；
Abstraction module 62, for the extraction strategy according to setting, extracts target journaling from the User action log；
Conversion module 63, for the target journaling is converted into the structural data under different dimensions；
First determining module 64, for by the structural data, running on the product of different editions, determining different dimensional
The set of the different query statements under degree.
Wherein, the different dimensions include：User name, logging time, product version, client terminal attribute, input mode, it is
The vertical class of system.
In a kind of possible way of realization of the present embodiment, above-mentioned conversion module 63, specifically for：According to default dimension
The target journaling is converted into the structural data under different dimensions by classification.
In the alternatively possible way of realization of the present embodiment, above-mentioned conversion module 63, specifically for：According to the target
The target journaling is converted into the structural data under different dimensions by the information type that daily record includes.
It should be noted that the aforementioned explanation to product test embodiment of the method is also applied for the product of the embodiment
Test device, here is omitted.
The product tester of the embodiment of the present application, obtains User action log first, then the extraction plan according to setting
Slightly, target journaling is extracted, then structural data target journaling being converted under different dimensions, then by structural data not
Run with the product of version, determine the diff query under different dimensions.Thus, by extracting target journaling, and by target
Daily record is converted into structural data, makes the diff query of acquisition only related to optimisation strategy, and diff query and different dimensional
Degree association, improves the specific aim of diff query, is the product that staff determines different editions according to diff query
It is good and bad to provide condition, save the analysis time to different editions product.
Based on above-described embodiment, Fig. 7 is the structural representation of the product tester of the application another embodiment.
As shown in fig. 7, on the basis of shown in above-mentioned Fig. 6, the product tester also includes：
Second determining module 71, for the optimisation strategy according to latest edition product, determines the extraction strategy of the setting.
Further, in order that staff intuitively can be determined between the product of different editions according to diff query
Diversity, the device, also includes：
3rd determining module 72, for according to the structural data, recalling when running on the product of different editions
State, determines that the different query statements are corresponding and recalls status information.
In a kind of possible way of realization of the present embodiment, for state identical diff query is recalled, in order to
Further diff query are made a distinction, the device can also include：
For judging that the different query statements are corresponding, judge module 73, recalls whether state is to recall；
4th determining module 74, if recalling state to recall for different query statements are corresponding, it is determined that it is described not
With query statement on the product of different editions, the pattern difference of the system replies recalled.
At least one of wherein, the pattern of the system replies, including following information：Number of cards, card pattern, card
Piece order, the corresponding entity number of card and the corresponding entity of card.
Further, in order that staff can intuitively see that diff query are aobvious in the product of different editions
Show effect, the device can be according to the client-side information in target journaling, dry run platform, running and show each diff
The system replies pattern that query is recalled, i.e., also include in described target journaling：The corresponding client-side information of each query statement；
Accordingly, the device, also includes：
5th determining module 75, for determining that different query statements distinguish corresponding client letter under the different dimensions
Breath；
Module 76 is built, and for corresponding client-side information being distinguished according to the different query statements, builds the difference
Query statement distinguishes corresponding operation platform；
Module 77 is carried, in the operation platform for building, carrying the product of different editions；
Display module 78, for, in the product of the different editions, being separately operable the structural data, it is determined that and showing
Show the pattern of the system replies that different query statements are recalled respectively.
It should be noted that the aforementioned explanation to product test embodiment of the method is also applied for the product of the embodiment
Test device, here is omitted.
The product tester of the embodiment of the present application, after User action log is obtained, according to the excellent of latest edition product
Change strategy, target journaling is extracted from User action log, the structuring number then target journaling being converted under different dimensions
According to, then structural data is run on the product of different editions, determine the set of the different query statements under different dimensions, so
State is recalled according to different query statements are corresponding afterwards, different query statements are carried out into classification analysises, and on the platform of simulation,
Show system replies pattern of the different query statements to application.Hereby it is achieved that the diff query for determining are only excellent with product
Change strategy related, improve the specific aim and accuracy of diff query, and diff query are carried out after classification analysises, in mould
Show on the display platform of plan so that staff can intuitively find out what diff query were recalled in different editions product
The difference of system replies, saves the time that staff is estimated to different editions product, reduces error rate.
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show
Example ", or the description of " some examples " etc. mean specific features with reference to the embodiment or example description, structure, material or spy
Point is contained at least one embodiment or example of the application.In this manual, to the schematic representation of above-mentioned term not
Identical embodiment or example must be directed to.And, the specific features of description, structure, material or feature can be with office
Combined in one or more embodiments or example in an appropriate manner.Additionally, in the case of not conflicting, the skill of this area
The feature of the different embodiments or example described in this specification and different embodiments or example can be tied by art personnel
Close and combine.
Additionally, term " first ", " second " are only used for describing purpose, and it is not intended that indicating or implying relative importance
Or the implicit quantity for indicating indicated technical characteristic.Thus, define " first ", the feature of " second " can express or
Implicitly include at least one this feature.In the description of the present application, " multiple " are meant that at least two, such as two, three
It is individual etc., unless otherwise expressly limited specifically.
In flow chart or here any process described otherwise above or method description are construed as, expression includes
It is one or more for realizing custom logic function or process the step of the module of code of executable instruction, fragment or portion
Point, and the scope of the preferred implementation of the application includes other realization, wherein the suitable of shown or discussion can not be pressed
Sequence, including according to involved function by it is basic simultaneously in the way of or in the opposite order, carry out perform function, this should be by the application
Embodiment person of ordinary skill in the field understood.
It should be appreciated that each several part of the application can be realized with hardware, software, firmware or combinations thereof.Above-mentioned
In embodiment, the software that multiple steps or method can be performed in memory and by suitable instruction execution system with storage
Or firmware is realizing.For example, if realized with hardware, and in another embodiment, can be with well known in the art
Any one of row technology or their combination are realizing：With for the logic gates of logic function is realized to data signal
Discrete logic, the special IC with suitable combinational logic gate circuit, programmable gate array (PGA), scene
Programmable gate array (FPGA) etc..
Those skilled in the art are appreciated that to realize all or part of step that above-described embodiment method is carried
Suddenly the hardware that can be by program to instruct correlation is completed, and described program can be stored in a kind of computer-readable storage medium
In matter, the program upon execution, including one or a combination set of the step of embodiment of the method.
Storage medium mentioned above can be read only memory, disk or CD etc..Although having shown that above and retouching
Embodiments herein is stated, it is to be understood that above-described embodiment is exemplary, it is impossible to be interpreted as the limit to the application
System, one of ordinary skill in the art can be changed to above-described embodiment, change, replace and become within the scope of application
Type.
Claims (16)
1. a kind of product test method, it is characterised in that comprise the following steps：
User action log is obtained, the User action log includes all query statements of the user in preset time period；
According to the extraction strategy of setting, target journaling is extracted from the User action log；
The target journaling is converted into into the structural data under different dimensions；
By the structural data, run on the product of different editions, determine the collection of the different query statements under different dimensions
Close.
2. the method for claim 1, it is characterised in that the extraction strategy according to setting, from the user behavior
Before target journaling is extracted in daily record, also include：
According to the optimisation strategy of latest edition product, the extraction strategy of the setting is determined.
3. the method for claim 1, it is characterised in that described that the target journaling is converted into into the knot under different dimensions
Structure data, including：
According to default dimension classification, the target journaling is converted into into the structural data under different dimensions；Or,
According to the information type that the target journaling includes, the structuring number target journaling being converted under different dimensions
According to.
4. the method for claim 1, it is characterised in that also include：
According to the structural data, when running on the product of different editions, state is recalled, determine the different inquiry languages
Sentence is corresponding to recall status information.
5. method as claimed in claim 4, it is characterised in that the determination different query statements are corresponding to recall state
After information, also include：
Judge that the different query statements are corresponding and recall whether state is to recall；
If, it is determined that the different query statements on the product of different editions, the pattern difference of the system replies recalled.
6. method as described in claim 5, it is characterised in that in the pattern of the system replies, including following information
At least one：Number of cards, card pattern, card order, the corresponding entity number of card and the corresponding entity of card.
7. method as claimed in claim 5, it is characterised in that also include in the target journaling：Each query statement correspondence
Client-side information；
Methods described also includes：
Determine that different query statements distinguish corresponding client-side information under the different dimensions；
Corresponding client-side information is distinguished according to the different query statements, build the different query statements and distinguish corresponding fortune
Row platform；
On the operation platform for building, the product of different editions is carried；
In the product of the different editions, the structural data is separately operable, it is determined that and showing different query statement difference
The pattern of the system replies recalled.
8. the method as described in claim 1-6 is arbitrary, it is characterised in that the different dimensions include：When user name, daily record
Between, product version, client terminal attribute, input mode, system hang down class.
9. a kind of product tester, it is characterised in that include：
Acquisition module, for obtaining User action log, the User action log includes user in preset time period
All query statements；
Abstraction module, for the extraction strategy according to setting, extracts target journaling from the User action log；
Conversion module, for the target journaling is converted into the structural data under different dimensions；
First determining module, for by the structural data, running on the product of different editions, determining under different dimensions
The set of different query statements.
10. device as claimed in claim 9, it is characterised in that also include：
Second determining module, for the optimisation strategy according to latest edition product, determines the extraction strategy of the setting.
11. devices as claimed in claim 9, it is characterised in that the conversion module, specifically for：
According to default dimension classification, the target journaling is converted into into the structural data under different dimensions；Or,
According to the information type that the target journaling includes, the structuring number target journaling being converted under different dimensions
According to.
12. devices as claimed in claim 9, it is characterised in that also include：
3rd determining module, for according to the structural data, recalls state when running on the product of different editions, really
The different query statements are corresponding calmly recalls status information.
13. devices as claimed in claim 12, it is characterised in that also include：
For judging that the different query statements are corresponding, judge module, recalls whether state is to recall；
4th determining module, if recalling state to recall for different query statements are corresponding, it is determined that the different inquiries
Sentence on the product of different editions, the pattern difference of the system replies recalled.
14. devices as described in claim 13, it is characterised in that in the pattern of the system replies, including following information
At least one：Number of cards, card pattern, card order, the corresponding entity number of card and the corresponding entity of card.
15. devices as claimed in claim 13, it is characterised in that also include in the target journaling：Each query statement pair
The client-side information answered；
Described device also includes：
5th determining module, for determining that different query statements distinguish corresponding client-side information under the different dimensions；
Module is built, and for corresponding client-side information being distinguished according to the different query statements, builds the different inquiry languages
The corresponding operation platform of sentence difference；
Module is carried, in the operation platform for building, carrying the product of different editions；
Display module, for, in the product of the different editions, being separately operable the structural data, it is determined that and showing difference
The pattern of the system replies that query statement is recalled respectively.
16. devices as described in claim 9-15 is arbitrary, it is characterised in that the different dimensions include：When user name, daily record
Between, product version, client terminal attribute, input mode, system hang down class.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110347754A (en) * | 2019-06-05 | 2019-10-18 | 阿里巴巴集团控股有限公司 | A kind of data query method and device |
| CN111291100A (en) * | 2020-01-22 | 2020-06-16 | 北京三快在线科技有限公司 | Method and device for generating experimental result data and method and device for requesting experiment |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7899694B1 (en) * | 2006-06-30 | 2011-03-01 | Amazon Technologies, Inc. | Generating solutions to problems via interactions with human responders |
| CN103577590A (en) * | 2013-11-12 | 2014-02-12 | 北京润乾信息系统技术有限公司 | Data query method and system |
| CN104252532A (en) * | 2014-09-11 | 2014-12-31 | 北京优特捷信息技术有限公司 | Website information statistic method and device |
| CN104881734A (en) * | 2015-05-11 | 2015-09-02 | 广东小天才科技有限公司 | Method, device and system for guiding product improvement based on gray release |
| CN105160011A (en) * | 2015-09-22 | 2015-12-16 | 浪潮(北京)电子信息产业有限公司 | Log management system and method |
| US9348735B1 (en) * | 2011-05-08 | 2016-05-24 | Panaya Ltd. | Selecting transactions based on similarity of profiles of users belonging to different organizations |
-
2016
- 2016-10-10 CN CN201610883992.6A patent/CN106547686B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7899694B1 (en) * | 2006-06-30 | 2011-03-01 | Amazon Technologies, Inc. | Generating solutions to problems via interactions with human responders |
| US9348735B1 (en) * | 2011-05-08 | 2016-05-24 | Panaya Ltd. | Selecting transactions based on similarity of profiles of users belonging to different organizations |
| CN103577590A (en) * | 2013-11-12 | 2014-02-12 | 北京润乾信息系统技术有限公司 | Data query method and system |
| CN104252532A (en) * | 2014-09-11 | 2014-12-31 | 北京优特捷信息技术有限公司 | Website information statistic method and device |
| CN104881734A (en) * | 2015-05-11 | 2015-09-02 | 广东小天才科技有限公司 | Method, device and system for guiding product improvement based on gray release |
| CN105160011A (en) * | 2015-09-22 | 2015-12-16 | 浪潮(北京)电子信息产业有限公司 | Log management system and method |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110347754A (en) * | 2019-06-05 | 2019-10-18 | 阿里巴巴集团控股有限公司 | A kind of data query method and device |
| CN110347754B (en) * | 2019-06-05 | 2023-03-24 | 创新先进技术有限公司 | Data query method and device |
| CN111291100A (en) * | 2020-01-22 | 2020-06-16 | 北京三快在线科技有限公司 | Method and device for generating experimental result data and method and device for requesting experiment |
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