CN107578161A - A kind of product testing method, apparatus and storage medium - Google Patents
A kind of product testing method, apparatus and storage medium Download PDFInfo
- Publication number
- CN107578161A CN107578161A CN201710762622.1A CN201710762622A CN107578161A CN 107578161 A CN107578161 A CN 107578161A CN 201710762622 A CN201710762622 A CN 201710762622A CN 107578161 A CN107578161 A CN 107578161A
- Authority
- CN
- China
- Prior art keywords
- index
- product
- data
- data channel
- scheme
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Abstract
The invention discloses a kind of product testing method, methods described includes：Obtain the sample data of corresponding product index；According to the sample data, the product index is weighted, to obtain the score value of each product index；According to the score value of each product index, the X-Y scheme for entering row index evaluation and test to the product is generated.The present invention further simultaneously discloses a kind of product testing device and storage medium.
Description
Technical field
The present invention relates to the information processing technology, and in particular to a kind of product testing method, apparatus and storage medium.
Background technology
At present, in numerous internet products experience appraisement system, the use overall from product design and development and user is expired
The angle of meaning degree, evaluation analysis is carried out to product, be two classes of main flow the most.But the former is derived from commenting for developer's dimension
Valency method, lay particular emphasis on available, the easy-to-use and interface of evaluation product repertoire point；The latter then collects from market survey and used
The Thought of user data, foundation is used as using subjective assessment of the user to usage experience.
Both the above appraisement system is traditional product criteria of quality evaluation, due to internet product with it is traditional
" product " and the difference of " service ", causes two kinds of appraisement systems to have the problem of can not avoiding.For example, from product design and development
Angle is set out, and is within the scope of user is acceptable in fact, or user does not have the problem of to being found in terms of the function of product
Clearly perceive, e insufficient to influence the actual usage experience of user.And from the overall user satisfaction of user, due to user
Subjective experience difference is huge, and general user is during the use of internet product, whole when substantially will not be to product design
Function point, which has, clearly to be perceived, moreover, user is when running into product usage experience problem, it is also difficult to some of positive location to product
Concrete function point, it is difficult from product evaluation to specific product improvement scheme so as to cause.
On the other hand, in practical operation execution, user's evaluation is collected in the form of survey of sampling more, and is used
The form of sampling survey has two large problems：First, user's evaluation is not the very first time feedback after encountering problems, shadow
Ring the accuracy of evaluation；Second, investigation form constrains the level of detail of content, long or excessively complicated questionnaire, can influence to evaluate
Authenticity, and excessively simple questionnaire, then influence the accuracy of evaluation positioning.
The content of the invention
To solve existing technical problem, the embodiment of the present invention it is expected to provide a kind of product testing method, apparatus and
Storage medium, to solve in the prior art can not be to the index of product, the problem of making accurate evaluation and test.
What the technical scheme of the embodiment of the present invention was realized in：
One side according to embodiments of the present invention, there is provided a kind of product testing method, methods described include：
Obtain the sample data of corresponding product index；
According to the sample data, the product index is weighted, to obtain the score value of each product index；
According to the score value of each product index, the X-Y scheme for entering row index evaluation and test to the product is generated.
In such scheme, the sample data of corresponding product index is obtained, including：
Obtain the process indicator and comment index of product；
According to the process indicator and the comment index, it is determined that the corresponding process indicator and the number of the comment index
According to channel；
According to the data channel, the corresponding process indicator and the sample data for commenting on index are obtained.
In such scheme, according to the sample data, the product index is weighted, to obtain each index
Score value, including：
According to the sample data, it is determined that data channel quantity corresponding with the sample data and each data channel cover
The index quantity of lid；
According to the data channel quantity and the index quantity of each data channel coverage, it is determined that the power of each data channel
Weight；
According to the weight of each data channel, the like products index in data channel is weighted, to obtain
The score value of each product index.
In such scheme, according to the score value of each product index, the X-Y scheme for entering row index evaluation and test to the product is generated
Shape, including：
Obtain index weights corresponding to each product index；
Calculate the product of the score value index weights corresponding with each product index of each product index；
By the product addition, the total score of each product index is obtained；
According to the total score of each product index, the X-Y scheme for entering row index evaluation and test to the product is generated.
In such scheme, in the score value according to each product index, the two dimension for entering row index evaluation and test to the product is generated
After figure, methods described also includes：
By clustering methodology or factor analysis, the relevance of product index in the X-Y scheme is calculated；
According to the relevance of product index in the X-Y scheme, the product index in the X-Y scheme is classified
Display.
Another aspect according to embodiments of the present invention, there is provided a kind of product testing device, described device include：Obtain single
Member, computing unit and generation unit；
Wherein, the acquiring unit, for obtaining the sample data of corresponding product index；
The computing unit, for according to the sample data, the product index being weighted, to obtain often
The score value of individual product index；
The generation unit, for the score value according to each product index, generate and enter row index evaluation and test to the product
X-Y scheme.
In such scheme, the acquiring unit, process indicator and comment index specifically for obtaining product；According to described
Process indicator and the comment index, it is determined that the corresponding process indicator and the data channel of the comment index；According to described
Data channel, obtain the sample data of the corresponding process indicator and the comment index.
In such scheme, the computing unit, specifically for according to the sample data, it is determined that with the sample data pair
The data channel quantity and the index quantity of each data channel coverage answered；According to the data channel quantity and each data canal
The index quantity of road covering, it is determined that the weight of each data channel；According to the weight of each data channel, in data channel
Like products index is weighted, to obtain the score value of each product index.
In such scheme, the acquiring unit, it is additionally operable to obtain index weights corresponding to each product index；
The computing unit, it is additionally operable to calculate the score value index weights corresponding with each product index of each product index
Product；By the product addition, the total score of each product index is obtained；
The generation unit, specifically for the total score according to each product index, generate and row index is entered to the product
The X-Y scheme of evaluation and test.
In such scheme, described device also includes：Display unit；
The computing unit, it is additionally operable to, by clustering methodology or factor analysis, calculate product in the X-Y scheme
The relevance of index；
The display unit, for the relevance according to product index in the X-Y scheme, in the X-Y scheme
Product index carry out classification and show.
Another further aspect according to embodiments of the present invention, there is provided a kind of product testing device, described device include：Memory
And processor；
Wherein, the memory, for storing the computer program that can be run on the processor；
The processor, during for running the computer program, perform the side described in the said goods evaluating method
Method step.
Another further aspect according to embodiments of the present invention, there is provided a kind of computer-readable recording medium, be stored thereon with meter
Calculation machine program, the computer program realize the method and step described in the said goods evaluating method when being executed by processor.
The embodiment of the present invention provides a kind of product testing method, apparatus and storage medium, by being obtained pair from multiple dimensions
The sample data of product index is answered, then further according to the sample data, the product index is weighted, to obtain
The score value of each product index；According to the score value of each product index, the X-Y scheme for entering row index evaluation and test to the product is generated
Shape.So as to get more fully sample data, so as to obtain more accurately product testing analysis result.
Brief description of the drawings
Fig. 1 is a kind of schematic flow sheet of product testing method of the embodiment of the present invention；
Fig. 2 is the schematic diagram that user's assessment indicator system is established in the embodiment of the present invention；
Fig. 3 is the effect diagram shown in the embodiment of the present invention to index total score；
Fig. 4 is the composition structural representation of product testing device in the embodiment of the present invention；
Fig. 5 is the composition schematic diagram of another kind product testing device of the embodiment of the present invention.
Embodiment
The embodiment of the present invention is described in detail below in conjunction with the accompanying drawings.It should be appreciated that this place is retouched
The embodiment stated is merely to illustrate and explain the present invention, and is not intended to limit the invention.
Fig. 1 is a kind of schematic flow sheet of product testing method of the embodiment of the present invention；As shown in figure 1, methods described includes：
Step 101, the sample data of corresponding product index is obtained；
In the embodiment of the present invention, methods described is mainly used in product testing server.By the server according to user
Actual use flow to internet product, using the actual use flow as the dimension evaluated and tested to product, obtain
Take the process indicator of product.Wherein, the process indicator has taken into account common flow-chart form during product development and design；Separately
Outside, the server obtains institute again using the usage experience result of internet product as another dimension evaluated and tested to product
State the comment index of product.Wherein, the comment index corresponds with the process indicator.Counted by using from least two
Index is obtained according to dimension, positioning problems more accurately can be carried out to product.
In the embodiment of the present invention, after the server gets process indicator and the comment index of the product, according to institute
Process indicator and the comment index are stated, it is determined that the corresponding process indicator and the data channel of the comment index.
Here, the data channel includes：The data of user's real-time experience feedback, as evaluating data on customer service data, line,
Backstage technology index data, on-line off-line market survey data etc..
Then, the server is according to the data channel, from the data channel obtain the corresponding process indicator and
The sample data of the comment index.
Here, the sample data, including numeric data and text data.
Fig. 2 is the schematic diagram that user's assessment indicator system is established in the embodiment of the present invention.
As shown in Fig. 2 by taking miaow cluck music this product as an example, according to the product feature of miaow cluck music, miaow cluck music this
In one internet product, the various indexs shown in abscissa include：Operation stream of user when using miaow this product of cluck music
Journey, here, the operating process is referred to as：Process indicator；
For example, the process indicator includes：Open, registration login, search, use, download, comment on, share, paying.
Various indexs shown in ordinate are：User after using miaow cluck music this product, to the miaow cluck music this
Comment made by one product, here, by each index corresponding to the comment, referred to as comment on index.
For example, institute's commentary index includes：Content, function, performance, interface, operation.
Then, the server is lowered according to the feature of miaow cluck music this product and the ability of data acquisition by line
Grind, the mode of online questionnaire and public sentiment monitoring, the sample of process indicator and comment index to institute's miaow cluck music this product
Data, it is acquired.
Table 1 is the sample data collection result of miaow cluck music this product：
| Data channel | Data acquisition modes |
| Investigated under line | Visited under line, forum, experience can etc. |
| Online questionnaire | Fill in questionnaires online |
| Public sentiment monitors | In real time crawl microblogging, using the user of the channels such as shop to the relevant evaluation of miaow cluck music |
Table 1
As shown in table 1, commenting on index and process indicator, the data channel determined according to data includes：Investigation, line under line
Upper questionnaire and public sentiment monitoring；Wherein, the data investigated under line, be by being visited under line, forum, experience can etc. mode obtained
Take；The data of the online questionnaire, it is after being filled in by other people webpage questionnaires on the internet, carrying out questionnaire, to be filled out from oneself
In the questionnaire data finished writing, data are obtained；The data of the public sentiment monitoring, are to carry out data acquisition by data grabber technology.
For example, based on omnipotent framework (HttpHelper), using monitoring location, --- keywords database foundation --- crawlers are compiled
The handling process of --- data grabber --- noise filtering is write, carries out the acquisition of public sentiment monitoring data.
Specifically, for the acquisition of public sentiment monitoring data, first, it is first determined the data source on Related product line, such as
Microblogging, major application shop etc.；Second, according to business demand, the keywords database of editor's data identification；3rd, write reptile journey
Sequence, different data sources in different ways, such as access application programming interface (API, the Application of microblogging
Programming Interface) commented on, it is necessary to be captured by the way of web page browsing using shop；4th, program operation is adjusted
Examination, according to data volume, the crawl frequency and run time of data are set；5th, from the data of crawl, screen out it is invalid, repeat,
The uncorrelated and part of interrogatory, forms final data available.
In the embodiment of the present invention, content more than twice is will appear from, is defined as identical data, duplicate data can also be,
Then the data repeated are screened out from the data of crawl.
The data that will occur completely with punctuate symbol or numeral, referred to as invalid data, then by invalid data from crawl
Screened out in data.
Uncorrelated or interrogatory data will be defined as with the completely unrelated data of product itself, then will be uncorrelated
Or the data of interrogatory, screened out from the data of crawl.
Step 102, according to the sample data, the product index is weighted, referred to obtaining each product
Target score value；
In the embodiment of the present invention, in the sample data that the server is got, include the index number of at least two dimensions
According in order to obtain score value corresponding to each index, then, it is necessary to the sample number after the server gets sample data
According to corresponding index, it is weighted, to obtain the score value of each product index.
Because the type of the sample data got by different dimensions may be different, when the sample data got
During data type difference, the server needs, using normalization computational methods, place to be normalized to different types of data
Reason, to obtain the data of same type, further to analyze the index of product.
For example, by the way that questionnaire, sample data corresponding to obtained index are the data of value type on line, under line, then may be used
Directly to obtain scoring corresponding to each index；Monitored by public sentiment, sample data corresponding to the index grabbed is textual form
Data, then need to use natural language processing technique, according to content of text and emotion, extract text core content, will
The data of text type are converted to score value.
Then, by the corresponding score value of normalized sample data, different user is represented from difference to good body with 1 to 10 point
Level is tested, Intermediate scores represent gradually incremental experience level, and are shown in ten point system scale.
Certainly, by score value corresponding to normalized sample data, can also be shown with hundred-mark system scale, specific scale
Selection and standards of grading setting, answer combination product and taking-over market to formulate.
In the embodiment of the present invention, the server is after the sample data of product index is obtained, it is also necessary to according to the sample
Notebook data, it is determined that data channel quantity corresponding with the sample data and the index quantity of each data channel coverage；According to
The data channel quantity and the index quantity of each data channel coverage, it is determined that the weight of each data channel；Then root then,
According to the weight of each data channel, the like products index in data channel is weighted, referred to obtaining each product
Target score value.
Here it is possible to using the algorithm of content coverage, the weight of different pieces of information channel is calculated.
For example, according to sample data, determine that data channel quantity is A, the index quantity of channel coverage is CN, each channel
Basic weight be 1/A, then each channel final weight is respectively 1/A*C1,1/A*C2,1/A*C3 ....
Table 2 is by miaow cluck music --- exemplified by music player, the weight of each data channel calculated.
| Data channel | Channel weight |
| Investigational data under line | 33.3%*100%=33.3% |
| Online questionnaire data | 33.3%*4/5*100%=26.7% |
| Public sentiment monitoring data | 33.3%*3/5*100%=20.0% |
Table 2
As shown in table 2, including using investigation under online questionnaire, line with public sentiment three channel data are monitored, wherein, line is lowered
5 indexs of data cover (whole indexs), 4 effect indexes of online questionnaire data cover are ground, public sentiment monitoring data covers 3
Index.By the way that by the index " 5 " of whole, " for 100%, divided by data channel is total " 3 ", and the basic weight for obtaining each channel is
33.3%.Then, further according to the basic weight, the weight of each data channel is calculated.Specifically calculate each data channel
The method of weight：
For investigational data under line, covered with 5 indexs (i.e. whole indexs), therefore, by the basic weight of channel
33.3% is multiplied with 100%, and the weight for obtaining data channel (being investigated under line) is 33.3%.
For online questionnaire data, covered with 4 indexs (all referring to target 4/5), therefore, by the basic weight of channel
After 33.3% is multiplied with 100%, obtained product is multiplied with 4/5 again, that is, the weight for obtaining data channel (online questionnaire) is
26.7%.
For public sentiment monitoring data, covered with 3 indexs (all referring to target 3/5), therefore, by the basic weight of channel
After 33.3% is multiplied with 100%, obtained product is multiplied with 3/5 again, that is, obtains data channel (online questionnaire data, covered with 4
Individual index (all referring to target 4/5), therefore, after the basic weight 33.3% of channel is multiplied with 100%, obtained product is again
It is multiplied with 4/5, that is, the weight for obtaining data channel (online questionnaire) is 20.0%.
In the embodiment of the present invention, for the experience link of different product, each Process Character index has different degrees of shadow
Ring, handled by way of weighting, can more represent the actual experience of user.Therefore, the server is obtaining each data canal
After the weight in road, it is also necessary to like products index in data channel is weighted, to obtain each product index
Scoring.
Specifically, it is necessary to reference to specific product before like products index is weighted in data channel
Feature, the weight of in-process metrics or comment index to each product are preset.Then, according to default index weights and often
The scoring of individual index, calculate the total score of the index.
Below, by miaow cluck music --- exemplified by music player, enter the calculating of row index total score.
Table 3 is shown by taking Process Character index " opening " as an example, and the total score of Process Character index " opening " is calculated.
Table 3
As shown in table 3, including comment index：Content, function, performance, interface and operation.Due to music player for
For family, the content of music and the completeness of function are more important, so, to index " content " and the index " function " finger of setting
Weight is marked, it is higher compared to index " performance ", index " interface ", index " operation ".
And according to the weight of each data channel, after the like products index in data channel is weighted, obtain
The scoring for having arrived product index is：Index " content " is scored at 5.2, index " function " and is scored at 6.4, index " performance "
Be scored at 6.1, index " interface " be scored at 8.8 and index " operation " be scored at 0.
The server is each by calculating after index weights corresponding to each product index and index score value is got
The product of the score value of product index index weights corresponding with each product index；Then, then by the product addition, obtain every
The total score of individual product index.That is, 5.2 are multiplied with 0.3,6.4 are multiplied with 0.3,6.1 are multiplied with 0.2, will
8.8 are multiplied with 0.2, and then by all product additions, you can the total score for obtaining index " opening " is 6.5.
Step 103, according to the score value of each product index, the X-Y scheme for entering row index evaluation and test to the product is generated.
In the embodiment of the present invention, after the server obtains the total score of each product index, according to the total of each product
Score value, generate the X-Y scheme for entering row index evaluation and test to the product.The X-Y scheme, two-dimensional map, two dimension can be included
The forms such as chart.
The server generates the X-Y scheme for entering row index evaluation and test to the product in the score value according to each product index
After shape, methods described also includes：By clustering methodology or factor analysis, product index in the X-Y scheme is calculated
Relevance；According to the relevance of product index in the X-Y scheme, the product index in the X-Y scheme is classified
Display.
Here, influence of the different indexs to Product Experience, it is not many times separate, is equally deposited between index
Influencing each other.Therefore it there are certain relevance between part index number.
It can specifically be understood according to business and the common agriculture products relevance of the aspect of correlation analysis two.
The server understanding and experience of the meeting according to business personnel, determines which refers to when establishing product index system
Rotating savings influences other indexs；Then, after to the processing of the source data of product index, clustering methodology, factor analysis etc. are utilized
Method, the indices in product index system are analyzed, determine the overlapping journey on content is calculated between indices
Degree, accordingly screening index again, final agriculture products relevance.
Wherein, by the contiguity between factorial analysis agriculture products, such as with spherical inspection (Bartlett) Correlation Matrix
Correlation between each variable, if be unit battle array, that is, examine each variable whether each independent.Before factorial analysis, carry out first
KMO is examined and Bart's profit spheroid is examined, and KMO is examined for checking the partial correlation between variable, and value is before 0~1.KMO unites
The partial correlation measured between 1, variable is stronger, and the effect of factorial analysis is better.In actual analysis, KMO statistics exist
Effect is relatively good when more than 0.7；When KMO statistics are below 0.5, now unsuitable application factor analytic approach, is considered as again
Design variable structure uses other statistical analysis techniques.
, also just can not application factor analytic approach if between variable independently of one another, can not therefrom extract common factor.
If Bartlett sphericity tests judge that Correlation Matrix is unit matrix, each variable independent factor analytic approach is invalid.Examined by SPSS
As a result Sig. is shown<0.05 (i.e. p value<0.05) when, illustrate that there is between each variable correlation, factorial analysis is effective.
In the embodiment of the present invention, the relevance between index has following two independent dimensions：One is conventional user uses
Flow.For example, according to from opening, sign in the process for using sharing, pay, it may also be said to, refer to target successively using order；
The second is interactional association between index.Such as function class index needs to rely on performance class index to realize, while also by boundary
The design of noodles index influences, at this point it suffices to say that the evaluation of the index is by performance and the double influence of interface, both it
Between certain correlation be present.
After device to be serviced determines the relevance between product index, according to the relevance, in the X-Y scheme
Product index carries out classification and shown.
Because the form that shows of achievement data understands important to data.Therefore, in index system, to each finger
After mark score is labeled, then with different colours or different display effects grade mark is carried out to the index score of mark,
Form the two-dimensional map of Consumer's Experience.
Wherein, in two-dimensional map, the scoring rank representated by different colours or different display effects should be according to product
Feature or actual business requirement determine, are on the one hand handled according to the distribution branch mailbox of whole sample scores, on the other hand also to combine
Business, which understands, to be adjusted.
In the embodiment of the present invention, the sequence of the index of two-dimensional map can be consistent with Raw performance system, can also with it is initial
Index system is inconsistent, when the index sequence of two-dimensional map is inconsistent with Raw performance system, it is necessary to reference to index relevance,
Associated index classification is arranged, readily appreciated with formation, the two-dimensional map of more targeted Consumer's Experience.
In the embodiment of the present invention, the purpose of index sequence is by different angles, assists to find data result behind
Reason.
Specifically, three kinds of sort methods be present in index sequence：
First is the index order of user's process for using；Because user, may be by some link products for Product Experience
Problem directly affects, therefore, the index order that user is used, a dimension as index sequence；
Second is to enter row index sequence according to the relevance between index；Because it there may be one between the high index of the degree of correlation
Fixed common problem, therefore, by the relevance between index, another dimension as index sequence；
3rd be it is simple according to data result enter row index sequence；The index of significantly low point and notable high score can be returned
Class, or be grouped index using cluster analysis, reason are to there may be common experience problem between low point of index.
For example, in the result of spherical inspection (Bartlett), when KMO values are less than or equal to 0.5, illustrate index be more prone to by
Business Process Analysis, then index is ranked up using the first sort method, i.e. the index order of user's process for using；When
KMO values are more than or equal to 0.7, illustrate relatively strong association be present between index, then index are ranked up using second of sort method, i.e.,
Enter row index sequence according to the relevance between index；When KMO values are between 0.5 to 0.7, illustrate existing relevance between index
Preferentially, then index is ranked up using the third sort method, i.e., it is simple that row index sequence is entered according to data result.
Fig. 3 is the effect diagram shown in the embodiment of the present invention to index total score；As shown in figure 3, with miaow cluck sound
Exemplified by this happy internet product, the various indexs shown in abscissa include：User using miaow this product of cluck music when
Operating process, here, the operating process is referred to as：Process indicator；For example, the process indicator includes：Open, registration is stepped on
Record, search, use, download, comment on, share, paying.
Various indexs shown in ordinate are：User after using miaow cluck music this product, to the miaow cluck music this
Comment made by one product, here, by each index corresponding to the comment, referred to as comment on index.For example, institute's commentary index bag
Include：Content, function, performance, interface, operation.
Wherein, filling pattern perceives poor for the representative user of " oblique line ", and filling pattern perceives for the representative user of " blank "
Typically, filling pattern perceives for the representative user of " rhombus ".
Business understanding is to play an important role in the sequence of index, and two operational angles have no the index of common factor, may
Associated position is come by data；On the other hand, after index sequence the reason for heuristic data behind, it is necessary to reference to actual industry
The running situation analysis of business, such as different operation activity descriptions, can have an impact, activity wishes what is transmitted to different indexs
Information, it is also possible to effect beyong contemplation is produced in user group, it is necessary to which the empirical log of business personnel is carried out according to result
Understand.
By X-Y scheme, the total score of product index is shown, the efficiency of data processing can not only be improved.It is and right
For internet product, it also can quickly find and solve problem.
In addition, by the embodiment of the present invention, collect the source data commented on for whole users product index, for production
The developer of product provides a kind of understanding mode being easily understood, and the product that can surround Consumer's Experience formulation next step changes
Enter scheme, reduce communication cost；Secondly, based on detailed index system, enable the problem of user is in Product Experience fast
Speed positioning, facilitates the searching of questions and prospect.If carry out going deep into decision-making using Consumer's Experience result, around Consumer's Experience map
The way of output, also can be more accurate, it is easier to realizes the workflow that specific works are fulfilled down to everyone.
Fig. 4 is the composition structural representation of product testing device in the embodiment of the present invention；As shown in figure 4, described device bag
Include：Acquiring unit 401, computing unit 402 and generation unit 403；
Wherein, the acquiring unit 401, for obtaining the sample data of corresponding product index；
The computing unit 402, for according to the sample data, the product index being weighted, to obtain
To the score value of each product index；
The generation unit 403, for the score value according to each product index, generate and enter row index evaluation and test to the product
X-Y scheme.
In the embodiment of the present invention, described device can be specifically product testing server.By acquiring unit 401 according to user
Actual use flow to internet product, using the actual use flow as the dimension evaluated and tested to product, obtain
Take the process indicator of product.Wherein, the process indicator has taken into account common flow-chart form during product development and design；Separately
Outside, the acquiring unit 401 obtains again using the usage experience result of internet product as another dimension evaluated and tested to product
Take the comment index of the product.Wherein, the comment index corresponds with the process indicator.By using from least two
Individual data dimension obtains index, more accurately can carry out positioning problems to product.
In the embodiment of the present invention, after the acquiring unit 401 gets process indicator and the comment index of the product, root
According to the process indicator and the comment index, it is determined that the corresponding process indicator and the data channel of the comment index.
Here, the data channel includes：The data of user's real-time experience feedback, as evaluating data on customer service data, line,
Backstage technology index data, on-line off-line market survey data etc..
Then, the acquiring unit 401 obtains the corresponding flow from the data channel and referred to according to the data channel
The sample data of mark and the comment index.
Here, the sample data, including numeric data and text data.
The acquiring unit 401 obtains the example of the sample data of corresponding product index, refer in embodiment of the method
Shown in table 1.
In the embodiment of the present invention, in the sample data that the acquiring unit 401 is got, include the finger of at least two dimensions
Data are marked, in order to obtain score value corresponding to each index, then after the acquiring unit 401 gets sample data, trigger institute
Computing unit 402 is stated, as the computing unit 402 to index corresponding to the sample data, is weighted, to obtain often
The score value of individual product index.
Due to the acquiring unit 401, the type of the sample data got by different dimensions may be different, when described
During the data type difference for the sample data that acquiring unit 401 is got, the computing unit 402 needs to calculate using normalization
Method, different types of data are normalized, to obtain the data of same type, so as to further to the finger of product
Mark is analyzed.
For example, by the way that questionnaire, sample data corresponding to obtained index are the data of value type on line, under line, then institute
Scoring corresponding to each index can directly be obtained by stating acquiring unit 401；Monitored by public sentiment, sample corresponding to the index grabbed
Data are the data of textual form, then need the computing unit 402 to use natural language processing technique, according to content of text and
Emotion, text core content is extracted, the data of text type are converted into score value.
Then, by the corresponding score value of normalized sample data, different user is represented from difference to good body with 1 to 10 point
Level is tested, Intermediate scores represent gradually incremental experience level, and are shown in ten point system scale.
Certainly, by score value corresponding to normalized sample data, can also be shown with hundred-mark system scale, specific scale
Selection and standards of grading setting, answer combination product and taking-over market to formulate.
In the embodiment of the present invention, the acquiring unit 401 triggers the calculating after the sample data of product index is obtained
Unit 402, specifically by the computing unit 402 according to the sample data, it is determined that data canal corresponding with the sample data
Road quantity and the index quantity of each data channel coverage；Afterwards, the computing unit 402 is further according to the data channel quantity
With the index quantity of each data channel coverage, it is determined that the weight of each data channel；Then, then by the computing unit 402
According to the weight of each data channel, the like products index in data channel is weighted, to obtain each product
The score value of index.
Here, the computing unit 402 can use the algorithm of content coverage, and the weight of different pieces of information channel is carried out
Calculate.
For example, the computing unit 402 according to sample data, determines that data channel quantity is A, the index of channel coverage
Quantity is CN, and the basic weight of each channel is 1/A, then each channel final weight is respectively 1/A*C1,1/A*C2,1/A*
C3……。
Specifically the weight of each data channel is calculated, refer to shown in the table 2 in embodiment of the method.
In the embodiment of the present invention, for the experience link of different product, each Process Character index has different degrees of shadow
Ring, handled by way of weighting, can more represent the actual experience of user.Therefore, the server is obtaining each data canal
After the weight in road, it is also necessary to like products index in data channel is weighted, to obtain each product index
Scoring.
Specifically, the computing unit 402 before like products index is weighted in data channel, it is necessary to
With reference to the feature of specific product, the weight of in-process metrics or comment index to each product is preset.Then, according to default
Index weights and each index scoring, calculate the total score of the index.
Specifically enter the method that row index total score calculates to refer to shown in the table 3 in embodiment of the method.
In the embodiment of the present invention, after the server obtains the total score of each product index, the generation unit is triggered
403, the total score by the generation unit 403 according to each product, generate the X-Y scheme for entering row index evaluation and test to the product
Shape.
Wherein, the X-Y scheme, the forms such as two-dimensional map, two-dimensional diagram can be included.
In the embodiment of the present invention, specific index weights as corresponding to the acquiring unit 401 obtains each product index；It
Afterwards, trigger the computing unit 402 and calculate the score value index weights corresponding with each product index of each product index and multiply
Product；The product addition after obtaining the total score of each product index, is triggered the generation unit by the computing unit 402
403, the total score by the generation unit 403 according to each product index, generate and enter the two of row index evaluation and test to the product
Tie up figure.
In the embodiment of the present invention, described device also includes：Display unit 404；
Specifically, the computing unit 402, it is additionally operable to, by clustering methodology or factor analysis, calculate the two dimension
The relevance of product index in figure；
The display unit 404, for the relevance according to product index in the X-Y scheme, to the X-Y scheme
In product index carry out classification and show.
Here, it is not many times separate due to influence of the different indexs to Product Experience, it is same between index
There is influence each other for sample.Therefore it there are certain relevance between part index number.
The computing unit 402 can specifically understand according to business to be associated with the common agriculture products of the aspect of correlation analysis two
Property.
The server understanding and experience of the meeting according to business personnel, determines which refers to when establishing product index system
Rotating savings influences other indexs；Then, after to the processing of the source data of product index, the computing unit 402 is triggered using cluster
The methods of analytic approach, factor analysis, the indices in product index system are analyzed, determine between indices
The overlapping degree in content is calculated, accordingly screening index again, final agriculture products relevance.
Wherein, the computing unit 402 is by the contiguity between factorial analysis agriculture products, such as with spherical inspection
(Bartlett) correlation in Correlation Matrix between each variable, if be unit battle array, that is, examine each variable whether each independent.Cause
Before son analysis, KMO inspections are carried out first and Bart's profit spheroid is examined, KMO is examined for checking the partial correlation between variable, value
Before 0~1.Partial correlation of the KMO statistics between 1, variable is stronger, and the effect of factorial analysis is better.Actual point
In analysis, effect is relatively good when KMO statistics are more than 0.7；When KMO statistics are below 0.5, now unsuitable application factor divides
Analysis method, it is considered as redesigning variant structural or uses other statistical analysis techniques.
, also just can not application factor analytic approach if between variable independently of one another, can not therefrom extract common factor.
If Bartlett sphericity tests judge that Correlation Matrix is unit matrix, each variable independent factor analytic approach is invalid.Examined by SPSS
As a result Sig. is shown<0.05 (i.e. p value<0.05) when, illustrate that there is between each variable correlation, factorial analysis is effective.
In the embodiment of the present invention, the relevance between index has following two independent dimensions：One is conventional user uses
Flow.For example, according to from opening, sign in the process for using sharing, pay, it may also be said to, refer to target successively using order；
The second is interactional association between index.Such as function class index needs to rely on performance class index to realize, while also by boundary
The design of noodles index influences, at this point it suffices to say that the evaluation of the index is by performance and the double influence of interface, both it
Between certain correlation be present.
After the computing unit 402 determines the relevance between product index, the display unit 404 is triggered according to institute
Relevance is stated, carrying out classification to the product index in the X-Y scheme shows.
Because the form that shows of achievement data understands important to data.Therefore, in index system, to each finger
After mark score is labeled, then with different colours or different display effects grade mark is carried out to the index score of mark,
Form the two-dimensional map of Consumer's Experience.
Wherein, in two-dimensional map, the scoring rank representated by different colours or different display effects should be according to product
Feature or actual business requirement determine, are on the one hand handled according to the distribution branch mailbox of whole sample scores, on the other hand also to combine
Business, which understands, to be adjusted.
In the embodiment of the present invention, the sequence of the index of two-dimensional map can be consistent with Raw performance system, can also with it is initial
Index system is inconsistent, when the index sequence of two-dimensional map is inconsistent with Raw performance system, it is necessary to reference to index relevance,
Associated index classification is arranged, readily appreciated with formation, the two-dimensional map of more targeted Consumer's Experience.
In the embodiment of the present invention, the purpose of index sequence is by different angles, assists to find data result behind
Reason.
Specifically, three kinds of sort methods be present in index sequence：
First is the index order of user's process for using；Because user, may be by some link products for Product Experience
Problem directly affects, therefore, the index order that user is used, a dimension as index sequence；
Second is to enter row index sequence according to the relevance between index；Because it there may be one between the high index of the degree of correlation
Fixed common problem, therefore, by the relevance between index, another dimension as index sequence；
3rd be it is simple according to data result enter row index sequence；The index of significantly low point and notable high score can be returned
Class, or be grouped index using cluster analysis, reason are to there may be common experience problem between low point of index.
For example, in the result of spherical inspection (Bartlett), when KMO values are less than or equal to 0.5, illustrate index be more prone to by
Business Process Analysis, then index is ranked up using the first sort method, i.e. the index order of user's process for using；When
KMO values are more than or equal to 0.7, illustrate relatively strong association be present between index, then index are ranked up using second of sort method, i.e.,
Enter row index sequence according to the relevance between index；When KMO values are between 0.5 to 0.7, illustrate existing relevance between index
Preferentially, then index is ranked up using the third sort method, i.e., it is simple that row index sequence is entered according to data result.
Specifically, the method shown using X-Y scheme to product index, refer in embodiment of the method and Fig. 2 is retouched
State.
The embodiment of the present invention, by X-Y scheme, the total score of product index is shown, can not only be improved at data
The efficiency of reason.And for internet product, it also can quickly find and solve problem.
In addition, collecting the source data commented on for whole users product index, provided for the developer of product
A kind of understanding mode being easily understood, and the product improvement scheme that Consumer's Experience formulates next step can be surrounded, reduce ditch
Logical cost；Secondly, based on detailed index system, the problem of user is in Product Experience is positioned rapidly, facilitate problem
The searching of reason., also can be more around the way of output of Consumer's Experience map if carrying out going deep into decision-making using Consumer's Experience result
Add precisely, it is easier to realize the workflow that specific works are fulfilled down to everyone.
It should be noted that：The product testing device that above-described embodiment provides is when carrying out product testing, only with above-mentioned each
The division progress of program module as needed can distribute above-mentioned processing by different journeys for example, in practical application
Sequence module is completed, i.e., the internal structure of device is divided into different program modules, to complete whole described above or portion
Manage office.In addition, the product testing device that above-described embodiment provides belongs to same design with product testing embodiment of the method, it has
Body implementation process refers to embodiment of the method, repeats no more here.
The embodiment of the present invention additionally provides another product testing device, and the product testing device includes：Processor and use
In the memory of computer program that storage can be run on a processor,
Wherein, when the processor is used to run the computer program, perform：
Obtain the sample data of corresponding product index；
According to the sample data, the product index is weighted, to obtain the score value of each product index；
According to the score value of each product index, the X-Y scheme for entering row index evaluation and test to the product is generated.
When the processor is additionally operable to run the computer program, perform：
Obtain the process indicator and comment index of product；
According to the process indicator and the comment index, it is determined that the corresponding process indicator and the number of the comment index
According to channel；
According to the data channel, the corresponding process indicator and the sample data for commenting on index are obtained.
When the processor is additionally operable to run the computer program, perform：
According to the sample data, it is determined that data channel quantity corresponding with the sample data and each data channel cover
The index quantity of lid；
According to the data channel quantity and the index quantity of each data channel coverage, it is determined that the power of each data channel
Weight；
According to the weight of each data channel, the like products index in data channel is weighted, to obtain
The score value of each product index.
When the processor is additionally operable to run the computer program, perform：
Obtain index weights corresponding to each product index；
Calculate the product of the score value index weights corresponding with each product index of each product index；
By the product addition, the total score of each product index is obtained；
According to the total score of each product index, the X-Y scheme for entering row index evaluation and test to the product is generated.
When the processor is additionally operable to run the computer program, perform：
By clustering methodology or factor analysis, the relevance of product index in the X-Y scheme is calculated；
According to the relevance of product index in the X-Y scheme, the product index in the X-Y scheme is classified
Display.
Fig. 5 is a kind of structural representation of product testing device according to an of the invention exemplary embodiment, product
Evaluating apparatus 500 can be that mobile phone, computer, digital broadcast terminal, information transceiving equipment, game console, flat board are set
Standby, Medical Devices, body-building equipment, personal digital assistant etc..
Reference picture 5, product testing device 500 can include following one or more assemblies：Processing component 501, memory
502nd, power supply module 503, multimedia groupware 504, audio-frequency assembly 505, input/output (I/O) interface 506, sensor cluster
507 and communication component 508.
Processing component 501 generally controls the integrated operation of product testing device 500, such as with display, call, data
The associated operations such as communication, camera shooting and information record.Processing component 501 can include one or more processors 5010
To perform computer program, to complete all or part of step of the above method.In addition, processing component 501 can include one
Or multiple modules, it is easy to interacting between processing component 501 and other assemblies.For example, processing component 501 can include multimedia
Module, to facilitate interacting between processing component 501 and multimedia groupware 504.
Memory 502 can be by any kind of volatibility or non-volatile memory device or combinations thereof Lai real
It is existing.Wherein, nonvolatile memory can be read-only storage (ROM, Read Only Memory), programmable read only memory
(PROM, Programmable Read-Only Memory), Erasable Programmable Read Only Memory EPROM (EPROM, Erasable
Programmable Read-Only Memory), Electrically Erasable Read Only Memory (EEPROM, Electrically
Erasable Programmable Read-Only Memory), magnetic RAM (FRAM, Ferromagnetic
Random Access Memory), flash memory (Flash Memory), magnetic surface storage, CD or read-only optical disc
(CD-ROM, Compact Disc Read-Only Memory)；Magnetic surface storage can be magnetic disk storage or tape storage
Device.Volatile memory can be random access memory (RAM, Random Access Memory), and it is used as outside high speed
Caching.By exemplary but be not restricted explanation, the RAM of many forms can use, such as static RAM
(SRAM, Static Random Access Memory), synchronous static RAM (SSRAM, Synchronous
Static Random Access Memory), dynamic random access memory (DRAM, Dynamic Random Access
Memory), Synchronous Dynamic Random Access Memory (SDRAM, Synchronous Dynamic Random Access
Memory), double data speed synchronous dynamic RAM (DDRSDRAM, Double Data Rate
Synchronous Dynamic Random Access Memory), enhanced Synchronous Dynamic Random Access Memory
(ESDRAM, Enhanced Synchronous Dynamic Random Access Memory), synchronized links dynamic random are deposited
Access to memory (SLDRAM, SyncLink Dynamic Random Access Memory), direct rambus arbitrary access are deposited
Reservoir (DRRAM, Direct Rambus Random Access Memory).The purport of memory 502 of description of the embodiment of the present invention
Including but is not limited to the memory of these and any other suitable type.
Memory 502 is used to store various types of data to support the operation of product testing device 500.These data
Example includes：For any computer program operated on product testing device 500, such as operating system and application program；Connection
It is personal data；Telephone book data；Message；Picture；Video etc..Wherein, operating system includes various system programs, such as framework
Layer, core library layer, driving layer etc., for realizing various basic businesses and the hardware based task of processing.Application program can be with
It is various for realizing comprising various application programs, such as media player (Media Player), browser (Browser) etc.
Applied business.Realize that the program of present invention method may be embodied in application program.
Power supply module 503 provides electric power for the various assemblies of product testing device 500.Power supply module 503 can include electricity
Management system, one or more power supplys, and other generate with for product testing device 500, manage and to distribute electric power associated
Component.
Multimedia groupware 504 is included in one provided between product testing device 500 and user as output interface
Screen.In certain embodiments, screen can include liquid crystal display (LCD, Liquid Crystal Display) and touch-control
Panel (TP, Touch Panel).If screen includes contact panel, screen can be realized by touch-screen, be used by oneself with receiving
The input signal at family.Contact panel includes one or more touch sensors, with the hand on sensing touch, slip and touch panel
Gesture.Touch sensor can not only sensing touch or slide border, but also detect related with touch or slide
Duration and pressure.In certain embodiments, multimedia groupware 504 can include a front camera and/or rearmounted take the photograph
As head.When product testing device 500 is in operator scheme, during such as screening-mode or video mode, front camera and/or rearmounted
Camera can receive the multi-medium data of outside.Each front camera or rear camera can be a fixed optics
Lens combination has focusing and optical zoom capabilities.
Audio-frequency assembly 505 is used to export and/or input audio signal.For example, audio-frequency assembly 505 includes a microphone,
When product testing device 500 is in operator scheme, during such as call model, logging mode or speech recognition mode, microphone is used for
Receive external audio signal.The audio signal received can be further stored in memory 502 or via communication component 508
Send.In certain embodiments, audio-frequency assembly 505 can also include a loudspeaker, for exports audio signal.
Information exchange of the I/O interfaces 506 between processing component 501 and peripheral interface module provides interface, above-mentioned periphery
Interface module can be keyboard, mouse, trace ball, click wheel, button, button etc..These buttons may include but be not limited to：Homepage
Button, volume button, start button and locking press button.
Sensor cluster 507 includes one or more sensors, for providing various aspects for product testing device 500
State estimation.For example, sensor cluster 507 can detect opening/closed mode residing for product testing device 500, component
Relative positioning, such as the component be product testing device 500 display and keypad；Sensor cluster 507 can be with
The position for detecting product testing device 500 or 500 1 components of product testing device changes, user and product testing device 500
The existence or non-existence of contact, the orientation or acceleration/deceleration of product testing device 500 and the temperature of product testing device 500
Change.Sensor cluster 507 can include proximity transducer, for detecting neighbouring object in no any physical contact
In the presence of.Sensor cluster 507 can also include optical sensor, as metal oxide semiconductor device (CMOS,
Complementary Metal-Oxide Semiconductor) imaging sensor or charge coupled cell (CCD, Charge
Coupled Device) imaging sensor, for being used in imaging applications.In certain embodiments, the sensor cluster 507
Acceleration transducer, gyro sensor, Magnetic Sensor, pressure sensor or temperature sensor etc. can also be included.
Communication component 508 is used for the communication of wired or wireless way between product testing device 500 and other equipment.Product
Evaluating apparatus 500 can access the wireless network based on communication standard, such as WiFi, 2G or 3G or combinations thereof.Show at one
In example property embodiment, communication component 508 receives broadcast singal or broadcast from external broadcasting management system via broadcast channel
Relevant information.In one exemplary embodiment, the communication component 508 also includes near-field communication (NFC, Near Field
Communication) module, to promote junction service.For example, radio frequency identification (RFID, Radio can be based in NFC module
Frequency IDentification) technology, infrared data tissue (IrDA, Infrared Data Association) skill
Art, ultra wide band (UWB, Ultra WideBand) technology, bluetooth (BT, BlueTooth) technology or other technologies are realized.
The method that the embodiments of the present invention disclose can apply in processor 5010, or real by processor 5010
It is existing.Processor 5010 is probably a kind of IC chip, has the disposal ability of signal.In implementation process, the above method
Each step can be completed by the instruction of the integrated logic circuit of the hardware in processor 5010 or software form.Above-mentioned
Processor 5010 can be general processor, digital signal processor (DSP, Digital Signal Processor), or
Other PLDs, discrete gate or transistor logic, discrete hardware components etc..Processor 5010 can be realized
Or disclosed each method, step and logic diagram in the execution embodiment of the present invention.General processor can be microprocessor
Or any conventional processor etc..The step of method with reference to disclosed in the embodiment of the present invention, hardware can be embodied directly in
Decoding processor performs completion, or performs completion with the hardware in decoding processor and software module combination.Software module can
So that in storage medium, the storage medium is located at memory 502, processor 5010 reads the information in memory 502, with reference to
Its hardware completes the step of preceding method.
In the exemplary embodiment, product testing device 500 can be by one or more application specific integrated circuits
(ASIC, Application Specific Integrated Circuit), DSP, PLD (PLD,
Programmable Logic Device), CPLD (CPLD, Complex Programmable Logic
Device), field programmable gate array (FPGA, Field-Programmable Gate Array), general processor, control
Device, microcontroller (MCU, Micro Controller Unit), microprocessor (Microprocessor) or other electronics member
Part is realized, for performing preceding method.
In the exemplary embodiment, the embodiment of the present invention additionally provides a kind of computer-readable recording medium, such as including
The memory 502 of computer program, above computer program can be performed by the processor 5010 of product testing device 500, with complete
Into step described in preceding method.Computer-readable recording medium can be FRAM, ROM, PROM, EPROM, EEPROM, Flash
The memories such as Memory, magnetic surface storage, CD or CD-ROM；Can also include one of above-mentioned memory or any group
The various equipment closed, such as mobile phone, computer, tablet device, personal digital assistant.
A kind of computer-readable recording medium, is stored thereon with computer program, and the computer program is run by processor
When, perform：
Obtain the sample data of corresponding product index；
According to the sample data, the product index is weighted, to obtain the score value of each product index；
According to the score value of each product index, the X-Y scheme for entering row index evaluation and test to the product is generated.
When the computer program is run by processor, also perform：
Obtain the process indicator and comment index of product；
According to the process indicator and the comment index, it is determined that the corresponding process indicator and the number of the comment index
According to channel；
According to the data channel, the corresponding process indicator and the sample data for commenting on index are obtained.
When the computer program is run by processor, also perform：
According to the sample data, it is determined that data channel quantity corresponding with the sample data and each data channel cover
The index quantity of lid；
According to the data channel quantity and the index quantity of each data channel coverage, it is determined that the power of each data channel
Weight；
According to the weight of each data channel, the like products index in data channel is weighted, to obtain
The score value of each product index.
When the computer program is run by processor, also perform：
Obtain index weights corresponding to each product index；
Calculate the product of the score value index weights corresponding with each product index of each product index；
By the product addition, the total score of each product index is obtained；
According to the total score of each product index, the X-Y scheme for entering row index evaluation and test to the product is generated.
When the computer program is run by processor, also perform：
By clustering methodology or factor analysis, the relevance of product index in the X-Y scheme is calculated；
According to the relevance of product index in the X-Y scheme, the product index in the X-Y scheme is classified
Display.
The foregoing is only a preferred embodiment of the present invention, is not intended to limit the scope of the present invention.
Claims (12)
- A kind of 1. product testing method, it is characterised in that methods described includes：Obtain the sample data of corresponding product index；According to the sample data, the product index is weighted, to obtain the score value of each product index；According to the score value of each product index, the X-Y scheme for entering row index evaluation and test to the product is generated.
- 2. according to the method for claim 1, it is characterised in that the sample data of corresponding product index is obtained, including：Obtain the process indicator and comment index of product；According to the process indicator and the comment index, it is determined that the corresponding process indicator and the data canal of the comment index Road；According to the data channel, the corresponding process indicator and the sample data for commenting on index are obtained.
- 3. according to the method for claim 1, it is characterised in that according to the sample data, the product index is carried out Weighted calculation, to obtain the score value of each index, including：According to the sample data, it is determined that data channel quantity corresponding with the sample data and each data channel coverage Index quantity；According to the data channel quantity and the index quantity of each data channel coverage, it is determined that the weight of each data channel；According to the weight of each data channel, the like products index in data channel is weighted, it is each to obtain The score value of product index.
- 4. according to the method for claim 1, it is characterised in that according to the score value of each product index, generate to the production Product enter the X-Y scheme of row index evaluation and test, including：Obtain index weights corresponding to each product index；Calculate the product of the score value index weights corresponding with each product index of each product index；By the product addition, the total score of each product index is obtained；According to the total score of each product index, the X-Y scheme for entering row index evaluation and test to the product is generated.
- 5. according to the method for claim 1, it is characterised in that in the score value according to each product index, generate to described Product enters after the X-Y scheme of row index evaluation and test, and methods described also includes：By clustering methodology or factor analysis, the relevance of product index in the X-Y scheme is calculated；According to the relevance of product index in the X-Y scheme, it is aobvious that classification is carried out to the product index in the X-Y scheme Show.
- 6. a kind of product testing device, it is characterised in that described device includes：Acquiring unit, computing unit and generation unit；Wherein, the acquiring unit, for obtaining the sample data of corresponding product index；The computing unit, for according to the sample data, the product index being weighted, to obtain each production The score value of product index；The generation unit, for the score value according to each product index, generate the two dimension for entering row index evaluation and test to the product Figure.
- 7. device according to claim 6, it is characterised in that the acquiring unit, the flow specifically for obtaining product Index and comment index；According to the process indicator and the comment index, it is determined that the corresponding process indicator and the comment The data channel of index；According to the data channel, the corresponding process indicator and the sample data for commenting on index are obtained.
- 8. device according to claim 6, it is characterised in that the computing unit, specifically for according to the sample number According to it is determined that data channel quantity corresponding with the sample data and the index quantity of each data channel coverage；According to described Data channel quantity and the index quantity of each data channel coverage, it is determined that the weight of each data channel；According to each data The weight of channel, the like products index in data channel is weighted, to obtain the score value of each product index.
- 9. device according to claim 6, it is characterised in that the acquiring unit, be additionally operable to obtain each product index Corresponding index weights；The computing unit, the score value index weights corresponding with each product index for being additionally operable to calculate each product index multiply Product；By the product addition, the total score of each product index is obtained；The generation unit, specifically for the total score according to each product index, generate and enter row index evaluation and test to the product X-Y scheme.
- 10. device according to claim 6, it is characterised in that described device also includes：Display unit；The computing unit, it is additionally operable to, by clustering methodology or factor analysis, calculate product index in the X-Y scheme Relevance；The display unit, for the relevance according to product index in the X-Y scheme, to the production in the X-Y scheme Product index carries out classification and shown.
- 11. a kind of product testing device, it is characterised in that described device includes：Memory and processor；Wherein, the memory, for storing the computer program that can be run on the processor；The processor, during for running the computer program, the step of any one of perform claim requirement 1 to 5 methods described.
- 12. a kind of computer-readable recording medium, is stored thereon with computer program, it is characterised in that the computer program The step of any one of claim 1 to 5 methods described is realized when being executed by processor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710762622.1A CN107578161A (en) | 2017-08-30 | 2017-08-30 | A kind of product testing method, apparatus and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710762622.1A CN107578161A (en) | 2017-08-30 | 2017-08-30 | A kind of product testing method, apparatus and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107578161A true CN107578161A (en) | 2018-01-12 |
Family
ID=61030276
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710762622.1A Pending CN107578161A (en) | 2017-08-30 | 2017-08-30 | A kind of product testing method, apparatus and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107578161A (en) |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109345118A (en) * | 2018-09-30 | 2019-02-15 | 浙江大学华南工业技术研究院 | Measurement method, device, the computer equipment of user experience quantitative evaluation value |
| CN109492890A (en) * | 2018-10-26 | 2019-03-19 | 浙江大学华南工业技术研究院 | Measurement method, device, the computer equipment of user experience quantitative evaluation value |
| CN109583721A (en) * | 2018-11-16 | 2019-04-05 | 北京奇虎科技有限公司 | A kind of appraisal procedure of channel, device and electronic equipment |
| CN110362303A (en) * | 2019-07-15 | 2019-10-22 | 深圳市宇数科技有限公司 | Data Mining method and system |
| CN110415053A (en) * | 2019-08-12 | 2019-11-05 | 秦宇亮 | A kind of user experience monitoring system and method based on big data |
| CN110503458A (en) * | 2019-07-15 | 2019-11-26 | 平安普惠企业管理有限公司 | Analysis method, system and the computer storage medium of user satisfaction |
| CN111476492A (en) * | 2020-04-10 | 2020-07-31 | 中国信息安全测评中心 | Evaluation method and system |
| CN112348671A (en) * | 2020-11-30 | 2021-02-09 | 杭州安恒信息技术股份有限公司 | Platform security monitoring method, device, equipment and storage medium |
| CN114386879A (en) * | 2022-03-22 | 2022-04-22 | 南京建普信息科技有限公司 | Grading and ranking method and system based on multi-product multi-dimensional performance indexes |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2010257272A (en) * | 2009-04-27 | 2010-11-11 | Hitachi Ltd | Service evaluation system |
| CN103886168A (en) * | 2012-12-19 | 2014-06-25 | 腾讯科技（深圳）有限公司 | Multi-channel analysis method and device based on analytic hierarchy process |
| CN105468512A (en) * | 2014-09-05 | 2016-04-06 | 北京畅游天下网络技术有限公司 | Method and system for evaluating software quality |
| CN106408219A (en) * | 2016-11-21 | 2017-02-15 | 中国工业设计（上海）研究院股份有限公司 | Integrated assessment method and system for certain product |
-
2017
- 2017-08-30 CN CN201710762622.1A patent/CN107578161A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2010257272A (en) * | 2009-04-27 | 2010-11-11 | Hitachi Ltd | Service evaluation system |
| CN103886168A (en) * | 2012-12-19 | 2014-06-25 | 腾讯科技（深圳）有限公司 | Multi-channel analysis method and device based on analytic hierarchy process |
| CN105468512A (en) * | 2014-09-05 | 2016-04-06 | 北京畅游天下网络技术有限公司 | Method and system for evaluating software quality |
| CN106408219A (en) * | 2016-11-21 | 2017-02-15 | 中国工业设计（上海）研究院股份有限公司 | Integrated assessment method and system for certain product |
Non-Patent Citations (1)
| Title |
|---|
| 李克文: "软件质量测评模型与测试数据生成方法研究", 《中国博士学位论文全文数据库信息科技辑》 * |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109345118A (en) * | 2018-09-30 | 2019-02-15 | 浙江大学华南工业技术研究院 | Measurement method, device, the computer equipment of user experience quantitative evaluation value |
| CN109492890A (en) * | 2018-10-26 | 2019-03-19 | 浙江大学华南工业技术研究院 | Measurement method, device, the computer equipment of user experience quantitative evaluation value |
| CN109583721A (en) * | 2018-11-16 | 2019-04-05 | 北京奇虎科技有限公司 | A kind of appraisal procedure of channel, device and electronic equipment |
| CN110362303A (en) * | 2019-07-15 | 2019-10-22 | 深圳市宇数科技有限公司 | Data Mining method and system |
| CN110503458A (en) * | 2019-07-15 | 2019-11-26 | 平安普惠企业管理有限公司 | Analysis method, system and the computer storage medium of user satisfaction |
| CN110362303B (en) * | 2019-07-15 | 2020-08-25 | 深圳市宇数科技有限公司 | Data exploration method and system |
| CN110415053A (en) * | 2019-08-12 | 2019-11-05 | 秦宇亮 | A kind of user experience monitoring system and method based on big data |
| CN111476492A (en) * | 2020-04-10 | 2020-07-31 | 中国信息安全测评中心 | Evaluation method and system |
| CN112348671A (en) * | 2020-11-30 | 2021-02-09 | 杭州安恒信息技术股份有限公司 | Platform security monitoring method, device, equipment and storage medium |
| CN114386879A (en) * | 2022-03-22 | 2022-04-22 | 南京建普信息科技有限公司 | Grading and ranking method and system based on multi-product multi-dimensional performance indexes |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107578161A (en) | A kind of product testing method, apparatus and storage medium | |
| CN103631835B (en) | Interest point information map presenting system and method thereof | |
| CN104252410B (en) | The method and apparatus that a kind of control in the page is tested | |
| CN107194743A (en) | A kind of network surveying questionnaire generation method and device | |
| CN109961296A (en) | Merchant type recognition methods and device | |
| CN102231131A (en) | Testing software in electronic device | |
| CN107330019A (en) | Searching method and device | |
| CN104063286B (en) | The fluency method of testing and device of display content change | |
| CN103595858A (en) | Mobile handset device and method thereof | |
| CN108052591A (en) | Information recommendation method, device, mobile terminal and computer readable storage medium | |
| CN106663258A (en) | Measurement of multi-screen internet user profiles, transactional behaviors and structure of user population through a hybrid census and user based measurement methodology | |
| CN107194213A (en) | A kind of personal identification method and device | |
| CN110378749A (en) | Appraisal procedure, device, terminal device and the storage medium of user data similitude | |
| CN107463643A (en) | Display methods, device and the storage medium of barrage data | |
| CN108121736A (en) | A kind of descriptor determines the method for building up, device and electronic equipment of model | |
| CN107678934A (en) | Interim card index selection method and device | |
| CN106126592B (en) | Processing method and device for search data | |
| CN110889036A (en) | Multi-dimensional information processing method and device and terminal equipment | |
| CN106095868A (en) | Obtain the method and device of mood information | |
| CN107766234A (en) | A kind of assessment method, the apparatus and system of the webpage health degree based on mobile device | |
| CN107506441A (en) | A kind of data arrangement method, apparatus, electronic equipment and storage medium | |
| CN111324675B (en) | Analysis display method and system of application access link and electronic equipment | |
| CN108960884A (en) | Information processing method, model building method and device, medium and calculating equipment | |
| CN108491733A (en) | Method and apparatus, storage medium, electronic equipment are recommended in privacy application | |
| CN106060707A (en) | Reverberation processing method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180112 |