CN110457122A - Task processing method, Task Processing Unit and computer system - Google Patents

Task processing method, Task Processing Unit and computer system Download PDF

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Publication number
CN110457122A
CN110457122A CN201910706757.5A CN201910706757A CN110457122A CN 110457122 A CN110457122 A CN 110457122A CN 201910706757 A CN201910706757 A CN 201910706757A CN 110457122 A CN110457122 A CN 110457122A
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function
client
atomic function
task
group
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CN110457122B (en
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聂丽娜
刘佳
李嘉淳
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Industrial and Commercial Bank of China Ltd ICBC
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Industrial and Commercial Bank of China Ltd ICBC
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46Multiprogramming arrangements
    • G06F9/48Program initiating; Program switching, e.g. by interrupt
    • G06F9/4806Task transfer initiation or dispatching
    • G06F9/4843Task transfer initiation or dispatching by program, e.g. task dispatcher, supervisor, operating system

Abstract

Present disclose provides a kind of task processing methods, comprising: obtains multiple atomic function of first task;First set is pushed into multiple client, the first set includes multiple identification informations corresponding with the multiple atomic function respectively, so that any client in the multiple client distributes the multiple identification information to one or more groups, to constitute the first group result of any client;Receive multiple first group results from the multiple client;Based on the multiple first group result, the distance matrix for characterizing correlation between the multiple atomic function is determined;And it is based on the distance matrix, determine the functional hierarchy structure about the first task.The disclosure additionally provides a kind of Task Processing Unit and computer system.

Description

Task processing method, Task Processing Unit and computer system
Technical field
This disclosure relates to field of computer technology, more particularly, to a kind of task processing method, Task Processing Unit and Computer system.
Background technique
With the continuous development of Internet technology, function that particular task (such as website and types of applications etc.) is capable of providing Can be more and more, user finds specific function and is frequently encountered that functional hierarchy is more, classification is unreasonable, names not readily understood etc. ask Topic, needs to design relatively reasonable functional hierarchy structure for particular task.In the related technology, the usually online multiple users of undertissue Testing and evaluation is carried out to the functional hierarchy structure of a task, optimizes functional hierarchy structure to determine.
However, the problem is that: need the participation of user scene, user number, test function range to be restricted.And Tester is needed to be manually entered and analyze data, it is low efficiency, error-prone.
Summary of the invention
An aspect of this disclosure provides a kind of task processing method, comprising: obtains multiple atom function of first task Energy.Then first set is pushed into multiple client, first set includes multiple marks corresponding with multiple atomic function respectively Know information, so that any client in multiple client distributes the multiple identification information to one or more groups, with Constitute the first group result of any client.Receive multiple first group results from multiple client.Then Based on multiple first group results, the distance matrix for characterizing correlation between multiple atomic function is determined.And then base In the distance matrix, the functional hierarchy structure about first task is determined.
Optionally, above-mentioned to be based on multiple first group results, it determines related each other for characterizing multiple atomic function The distance matrix data of property include: for any first group result, will with belong to same group of other any two identification information The distance between corresponding atomic function value is set as 0, and will different from belonging to groups of other any two identification informations it is corresponding The distance between atomic function value is set as 1.Based on multiple first group results, to any two atom in multiple atomic function The distance between function value is added up, and the comprehensive distance value between any two atomic function is obtained.And then utilize multiple originals Comprehensive distance value in subfunction between any two atomic function constructs to obtain distance matrix.
Optionally, above-mentioned to be based on distance matrix, determine that the functional hierarchy structure about first task includes: by distance matrix Be converted to similarity matrix.Then clustering is carried out to the similarity matrix using hierarchical clustering parser, obtained tree-shaped Figure.For dendrogram characterization from down to high multiple levels, each level includes one or more classifications, each classification include one or Multiple atomic function.Then the functional hierarchy structure about first task is determined based on the dendrogram.
Optionally, above-mentioned to determine that the functional hierarchy structure about first task includes: based on multiple first based on dendrogram The group number of each first group result in group result determines the average group number of multiple first group results.It will tree Have in shape figure with the level of the same number of class number of the group that is averaged as target highest level.It is tree-shaped to be then based on this The functional hierarchy structure about first task is constructed to the structure of target highest level from lowest hierarchical level in figure.
Optionally, the above method further include: obtain the preset function hierarchical structure of the second task, preset function hierarchical structure Including presetting group result, the default group result includes one or more default groups and multiple atomic function.Then Second set is pushed into the multiple client, the second set includes one or more of default groups and difference Multiple identification informations corresponding with the multiple atomic function, so that any client in the multiple client is by multiple marks Know information to distribute to the default group of one or more, is constituted any client to preset group by the one or more after distributing The second packet result at end.Then multiple second packets from the multiple client are received as a result, determining described default Difference degree between group result and the multiple second packet result.Finally based on the difference degree to the default function Energy hierarchical structure is adjusted, to obtain the functional hierarchy structure about second task.
Optionally, the above-mentioned difference based between default group result and multiple second packet results, to preset function layer It includes: based on the multiple second packet as a result, determining each atom in the multiple atomic function that level structure, which is adjusted, Function is in the position coordinates in N-dimensional space, and wherein N is equal to the other number of the preset group.It is then based on above-mentioned default group result, Determine each atomic function in multiple atomic function in the preset position coordinates in the N-dimensional space.Then based on the multiple The respective position coordinates of atomic function and the preset position coordinates, determination are poor for characterizing the classification of the difference degree Incorgruous amount.On this basis, above-mentioned be adjusted based on the difference degree to the preset function hierarchical structure includes: to utilize The classification difference vector is adjusted the preset function hierarchical structure.
Optionally, the above method further include: obtain the preset function hierarchical structure of the second task.By the preset function layer Level structure pushes to the multiple client, executes described in lookup so that any client is based on the preset function hierarchical structure The operation of any atomic function in multiple atomic function.Then the operation behavior data from the multiple client are obtained, The operation behavior data include at least one of following: the operation time started, operation behavior path, is directed to the operation deadline The triggered time of any atomic function and triggering times for any atomic function.Then it is based on the behaviour Make the determining evaluation information about any atomic function of behavioral data, the evaluation information includes at least one of following: behaviour Make success rate, operation failure rate, operation duration, length of operation path, straight line completion rate and rollback number.It is based ultimately upon institute It states the respective evaluation information of multiple atomic function to be adjusted the preset function hierarchical structure, to obtain about described The functional hierarchy structure of two tasks.
Optionally, the above method further include: based on the functional hierarchy structure about the first task, displaying has The man-machine interface of navigational structure corresponding with the functional hierarchy structure.
Another aspect of the present disclosure provides a kind of Task Processing Unit, comprising: first obtains module, the first push mould Block, the first receiving module, apart from determining module and structure determination module.First acquisition module is for obtaining first task Multiple atomic function.First pushing module is used to push to first set multiple client, and the first set includes difference Multiple identification informations corresponding with the multiple atomic function, so that any client in the multiple client will be described more A identification information is distributed to one or more groups, to constitute the first group result of any client.First receives mould Block is used to receive multiple first group results from the multiple client.It is used for apart from determining module based on the multiple First group result determines the distance matrix for characterizing correlation between the multiple atomic function.Structure determination mould Block is used to be based on the distance matrix, determines the functional hierarchy structure about the first task.
Another aspect of the present disclosure provides a kind of computer system, comprising: memory, processor and is stored in memory Computer program that is upper and can running on a processor, for realizing institute as above when the processor executes the computer program The method stated.
Another aspect of the present disclosure provides a kind of computer readable storage medium, is stored with computer executable instructions, Described instruction is when executed for realizing method as described above.
Another aspect of the present disclosure provides a kind of computer program, and the computer program, which includes that computer is executable, to be referred to It enables, described instruction is when executed for realizing method as described above.
In accordance with an embodiment of the present disclosure, when needing to carry out the design of functional hierarchy structure to a task, by means of more Understanding of the user of a client for relationship between multiple atomic function of the task, obtains the function about the task Hierarchical structure.Specifically, the first set of the identification information of multiple atomic function comprising the task is pushed to respectively multiple Client, to obtain multiple first group results of multiple client return.It determines to meet based on first group result more The distance matrix of correlation between a desired characterization atomic function of user, then corresponding function is determined based on the distance matrix It can level result.The process can complete a large number of users opinion (the such as first grouping knot on line by the interaction with multiple client Fruit) collection, and then determine based on a large number of users opinion the optimization functional hierarchy structure of task, it is efficient, accurate and reasonable.
Detailed description of the invention
In order to which the disclosure and its advantage is more fully understood, referring now to being described below in conjunction with attached drawing, in which:
Fig. 1 diagrammatically illustrates the exemplary system frame of the application task treating method and apparatus according to the embodiment of the present disclosure Structure;
Fig. 2 diagrammatically illustrates the flow chart of the task processing method according to the embodiment of the present disclosure;
Fig. 3 diagrammatically illustrates the flow chart of the task processing method according to another embodiment of the disclosure;
Fig. 4 diagrammatically illustrates the flow chart of the task processing method according to another embodiment of the disclosure;
Fig. 5 diagrammatically illustrates the block diagram of the Task Processing Unit according to the embodiment of the present disclosure;And
Fig. 6 diagrammatically illustrates the frame of the computer system for being adapted for carrying out task processing method according to the embodiment of the present disclosure Figure.
Specific embodiment
Hereinafter, will be described with reference to the accompanying drawings embodiment of the disclosure.However, it should be understood that these descriptions are only exemplary , and it is not intended to limit the scope of the present disclosure.In the following detailed description, to elaborate many specific thin convenient for explaining Section is to provide the comprehensive understanding to the embodiment of the present disclosure.It may be evident, however, that one or more embodiments are not having these specific thin It can also be carried out in the case where section.In addition, in the following description, descriptions of well-known structures and technologies are omitted, to avoid Unnecessarily obscure the concept of the disclosure.
Term as used herein is not intended to limit the disclosure just for the sake of description specific embodiment.It uses herein The terms "include", "comprise" etc. show the presence of the feature, step, operation and/or component, but it is not excluded that in the presence of Or add other one or more features, step, operation or component.
There are all terms (including technical and scientific term) as used herein those skilled in the art to be generally understood Meaning, unless otherwise defined.It should be noted that term used herein should be interpreted that with consistent with the context of this specification Meaning, without that should be explained with idealization or excessively mechanical mode.
It, in general should be according to this using statement as " at least one in A, B and C etc. " is similar to Field technical staff is generally understood the meaning of the statement to make an explanation (for example, " system at least one in A, B and C " Should include but is not limited to individually with A, individually with B, individually with C, with A and B, with A and C, have B and C, and/or System etc. with A, B, C).Using statement as " at least one in A, B or C etc. " is similar to, generally come Saying be generally understood the meaning of the statement according to those skilled in the art to make an explanation (for example, " having in A, B or C at least One system " should include but is not limited to individually with A, individually with B, individually with C, with A and B, have A and C, have B and C, and/or the system with A, B, C etc.).
Embodiment of the disclosure provides a kind of task processing method, device and computer system.This method includes the One acquisition process, first push process, the first receive process, apart from determination process and structure determination processes.It is obtained first Process obtains multiple atomic function of first task.Then carry out first push process, will comprising respectively with the multiple atom The first set of the corresponding multiple identification informations of function pushes to multiple client, so that any client will be in first set Multiple identification informations are distributed to one or more groups, to constitute the first group result of any client.Then first is carried out Receive process receive multiple first group results from multiple client.Based on received multiple first group results of institute It can carry out apart from determination process, that is, determine the distance matrix for characterizing correlation between the multiple atomic function. Result determination process is finally carried out based on the distance matrix, that is, determines the functional hierarchy structure about first task
Fig. 1 diagrammatically illustrate according to the embodiment of the present disclosure can be with the exemplary system of application task treating method and apparatus System framework 100.It should be noted that being only the example that can apply the system architecture of the embodiment of the present disclosure shown in Fig. 1, to help Those skilled in the art understand that the technology contents of the disclosure, but it is not meant to that the embodiment of the present disclosure may not be usable for other and set Standby, system, environment or scene.
As shown in Figure 1, system architecture 100 may include terminal device 101,102,103, network according to this embodiment 104 and server 105.Network 104 between terminal device 101,102,103 and server 105 to provide communication link Medium.Network 104 may include various connection types, such as wired, wireless communication link or fiber optic cables etc..
Various client applications can be installed, such as the application of bank's class, shopping class are answered on terminal device 101,102,103 With (merely illustrative) such as, searching class application, instant messaging tools, mailbox client, social platform softwares.Terminal device 101, 102, it 103 can be interacted by the above various client applications and server 105, to send various ask to server 105 Seek or receive the result of the return of server 105.
Terminal device 101,102,103 can be various electronic equipments, including but not limited to smart phone, tablet computer, Pocket computer on knee and desktop computer etc..
Server 105 can be to provide the back-stage management server (merely illustrative) of various service supports.Back-stage management clothes Business device analyze etc. to data such as the user's requests received processing, and processing result (such as is requested according to user Acquisition or the webpage, information or the data that generate etc.) feed back to terminal device.
It should be noted that task processing method provided by the embodiment of the present disclosure can generally be executed by server 105. Correspondingly, Task Processing Unit provided by the embodiment of the present disclosure generally can be set in server 105.The embodiment of the present disclosure Provided task processing method can also by be different from server 105 and can with terminal device 101,102,103 and/or clothes The server or server cluster that business device 105 communicates execute.Correspondingly, Task Processing Unit provided by the embodiment of the present disclosure It can be set in the service that is different from server 105 and can be communicated with terminal device 101,102,103 and/or server 105 In device or server cluster.
It should be understood that the number of terminal device, network and server in Fig. 1 is only schematical.According to practical need It wants, can have any number of terminal device, network and server.
Fig. 2 diagrammatically illustrates the flow chart of the task processing method according to the embodiment of the present disclosure.
As shown in Fig. 2, this method may include following operation S201~S205.
In operation S201, multiple atomic function of first task are obtained.
Wherein, first task for example can be one and apply (Application) or a website etc., to first task Carry out it is online before, need to design the functional hierarchy structure about first task, with according to the functional hierarchy structure setting this One task man-machine interface navigational structure, and then assist user more easily use the application or website etc..Atomic function Refer to the function for the minimum particle size that cannot be subdivided.
In operation S202, first set is pushed into multiple client.
Wherein, first set includes multiple identification informations corresponding with above-mentioned multiple atomic function respectively, so as to multiple visitors Any client in the end of family distributes above-mentioned multiple identification informations to one or more groups, to constitute any client First group result.Each client can obtain respective first group result based on first set, client First group result shows that above-mentioned multiple identification informations are divided into several groups, each group include which identification information etc. by the client Information shows understanding of the user of the client for relationship between multiple atomic function.
In operation S203, multiple first group results from multiple client are received.
In operation S204, multiple first group results are based on, are determined related each other for characterizing multiple atomic function The distance matrix of property.
Wherein, multiple first group results returned based on above-mentioned multiple client, that is, it is based on above-mentioned multiple clients Understanding of the different user returned for relationship between multiple atomic function is held, can determine the multiple of characterization first task The distance matrix of correlation between atomic function.
In operation S205, it is based on distance matrix, determines the functional hierarchy structure about first task.
Wherein, since the functional hierarchy structure about first task is determined based on distance matrix, and distance matrix It is the understanding by the different user of multiple client return for the relationship between multiple atomic function of first task And determine, therefore the functional hierarchy structure about first task reflects multiple users for the functional hierarchy of the first task The comprehensive expectation of design.
It will be understood by those skilled in the art that method shown in Fig. 2 is needing to carry out functional hierarchy structure to a task Design when, the understanding by means of the user of multiple client for relationship between multiple atomic function of the task obtains To the functional hierarchy structure about the task.Specifically, by the first of the identification information of multiple atomic function comprising the task Set pushes to multiple client respectively, to obtain multiple first group results of multiple client return.Based on this first point Group result determines to meet the distance matrix of correlation between the desired characterization atomic function of multiple users, then based on should be away from Corresponding functional hierarchy result is determined from matrix.The process can be completed largely by the remote interaction with multiple client on line The collection of consumers' opinions (such as the first group result), and then determine based on a large number of users opinion the optimization functional hierarchy knot of task Structure is efficient, accurate and reasonable.
Illustratively, it is above-mentioned be based on multiple first group results, determine for characterize the multiple atomic function each other it Between the process of distance matrix data of correlation can be carried out as follows:, will firstly, for any first group result The distance between atomic function corresponding with same group of other any two identification information is belonged to value is set as 0, and will with belong to Difference organizes the distance between the corresponding atomic function of other any two identification information value and is set as 1.Then, multiple first are based on Group result adds up the distance between any two atomic function in multiple atomic function value, obtains any two original Comprehensive distance value between subfunction.Then, the comprehensive distance between any two atomic function in multiple atomic function is utilized Value building obtains distance matrix.
For example, first task includes 5 atomic function.By the first set of the identification information comprising 5 atomic function 1, 2,3,4,5 } client 1, client 2 and client 3 are pushed to respectively.First group result of client 1 are as follows: { 1,2 }, 3, 4 }, { 5 } }.First group result of client 2 are as follows: { { 1,5 }, { 2,3,4 } }.First group result of client 3 are as follows: 1, 2 }, { 3,4,5 } }.
According to the first group result of client 1, atomic function 1 and atomic function 2 are assigned to same group, between the two Distance value L112=L121=0.Atomic function 1 and atomic function 3 are assigned to different groups, distance value L between the two113=L131= 1.Atomic function 3 and atomic function 5 are assigned to different groups, distance value L between the two135=L153=1.5 originals known to similarly The distance between any two atomic function is worth in subfunction.
According to the first group result of client 2, atomic function 1 and atomic function 2 are assigned to different groups, between the two Distance value L212=L221=1.Atomic function 1 and atomic function 3 are assigned to different groups, distance value L between the two213=L231= 1.Atomic function 1 and atomic function 5 are assigned to same group, distance value L between the two215=L251=0.5 originals known to similarly The distance between any two atomic function is worth in subfunction.
According to the first group result of client 3, atomic function 1 and atomic function 2 are assigned to same group, between the two Distance value L312=L321=0.Atomic function 1 and atomic function 3 are assigned to different groups, distance value L between the two313=L331= 1.Atomic function 3 and atomic function 5 are assigned to same group, distance value L between the two335=L353=0.Similarly it is found that 5 originals The distance between any two atomic function is worth in subfunction.
Therefore in this example, the comprehensive distance value L between atomic function 1 and atomic function 212=L21=L112+L212+L312= 1.Comprehensive distance value L between atomic function 1 and atomic function 213=L31=L113+L213+L313=3.Similarly, by corresponding The comprehensive distance value of distance value added up in available 5 atomic function between any two atomic function.It is then based on this A little comprehensive distance values may be constructed distance matrix shown in such as formula (1):
In this example, since first task has 5 atomic function, Lii(i is the integer for being less than or equal to 5 more than or equal to 1) is former The distance of subfunction itself, usually can be set to 0.Lij=Lji(i be more than or equal to 1 be less than or equal to 5 integer, j be greater than It is less than or equal to 5 integer equal to 1, i is not equal to j).This example is merely illustrative, not to the number of atomic function, client The distance between number, atomic function value causes any restrictions.
In one embodiment of the present disclosure, the above-mentioned functional hierarchy knot for being based on distance matrix, determining about first task The process of structure can be carried out as follows: distance matrix is converted to similarity matrix.Then hierarchical clustering is utilized (Hierarchical Clustering) parser carries out clustering to the similarity matrix, obtains dendrogram (Dendrogram).For dendrogram characterization from down to high multiple levels, each level includes one or more classifications (cluster), each classification includes one or more atomic function.Then the function about first task is determined based on the dendrogram It can hierarchical structure.
Illustratively, it is above-mentioned based on the dendrogram determine the functional hierarchy structure may include: be primarily based on it is multiple The group number of each first group result in first group result determines the average group number of multiple first group results. Then, will have in the dendrogram with the level of the above-mentioned average the same number of class number of group as target highest level. Based on, from lowest hierarchical level to the structure of target highest level, constructing the functional hierarchy structure about first task in dendrogram.
Example above is continued to use, for distance matrix shown in formula (1), due to Lij=LjiAnd Lii=0, it can be only Retain the bottom left section or upper right portion of the distance matrix, to obtain similarity matrix.Then it is calculated using hierarchical clustering analysis Method carries out clustering to the similarity matrix, and principle is: it is former hereinbefore to measure out any two in 5 atomic function On the basis of comprehensive distance value between subfunction, using 5 atomic function as 5 nodes, which is located at dendrogram Lowest hierarchical level can be described as root layer grade.The nearest node of comprehensive distance is merged into using minimum distance method in the lowest hierarchical level New node, new node and remaining node are located at the first level of dendrogram.In first level, using minimum distance method, The nearest node of comprehensive distance is merged into new node, new node and remaining node are located at the second level of dendrogram.With This analogizes, and successively constructs multiple levels of dendrogram from bottom to top, and each level includes one or more nodes, each node Indicate that a classification, each classification include one or more atomic function.Until the top of dendrogram, merges into a section Point, i.e. only one classification.
In above example, the first group result of client 1 are as follows: { { 1,2 }, { 3,4 }, { 5 } }.The first of client 2 Group result are as follows: { { 1,5 }, { 2,3,4 } }.First group result of client 3 are as follows: { { 1,2 }, { 3,4,5 } }.Therefore, client The group number of first group result at end 1 is 3, and the group number of the first group result of client 2 is 2, the of client 3 The group number of one group result is 2.Average group number are as follows: (3+2+2)/3 is approximately equal to 2.Therefore obtained above tree-shaped The level comprising 2 classifications, the e.g. second layer are searched in figure, then using the second layer as target highest level, based on tree-shaped The functional hierarchy structure about first task is constructed to the structure of the second layer from lowest hierarchical level in figure.
Fig. 3 diagrammatically illustrates the flow chart of the task processing method according to another embodiment of the disclosure.
As shown in figure 3, this method may include following operation S301~S305.
In operation S301, the preset function hierarchical structure of the second task is obtained.
Wherein, the second task for example can be an application for having preset functional hierarchy structure or a website. Preset function hierarchical structure includes default group result, and presetting group result includes one or more default groups and multiple originals Subfunction, default group result can indicate distribution condition of the preset multiple atomic function in default group.
In operation S302, second set is pushed into multiple client.
Wherein, second set includes said one or multiple default groups and corresponding with above-mentioned multiple atomic function respectively Multiple identification informations, above-mentioned multiple identification informations are distributed to said one so as to any client in multiple client or Multiple default groups preset the second packet result that group constitutes any client by the one or more after distributing.Example Such as, default group result includes: { default group 1 { 1,2 }, preset group 2 { 3,4,5 } }.Second set is { to preset group 1, in advance If group 2, { 1,2,3,4,5 } }.That is, only informing that multiple client is pre- when pushing second set to multiple client If several groups and one which atomic function shared, but do not inform that multiple client presets group and multiple atomic function Between the relations of distribution, multiple atomic function are distributed to pre- according to the experience of itself by the respective user of multiple client If in group, since examine whether default group result meets the expectation of multiple users, that is, test the preset function of the second task The availability of hierarchical structure.The second packet of one client is the result shows that how the client divides above-mentioned multiple atomic function The information being assigned in above-mentioned default group, show the user of the client for relationship between multiple atomic function, with And between multiple atomic function and default group relationship understanding.
In operation S303, multiple second packet results from multiple client are received.
In operation S304, the difference degree between default group result and the multiple second packet result is determined.
In operation S305, preset function hierarchical structure is adjusted based on the difference degree, to obtain about the The functional hierarchy structure of two tasks.
It will be understood by those skilled in the art that method shown in Fig. 3 is in the preset function level for needing to assess a task When the ease for use of structure, by means of multiple client user for relationship between multiple atomic function of the task, with And between multiple atomic function and default group relationship understanding, obtain preset function hierarchical structure about the task with it is multiple User is for the difference degree between the desired function hierarchical structure of the task, and then being based on the difference degree can be to default function Energy hierarchical structure is adjusted, and draws close it to the desired functional hierarchy structure of multiple users.The process by with multiple visitors The remote interaction at family end can complete the collection of a large number of users opinion (such as second packet result) on line, and then be based on a large number of users Opinion determines the adjustment direction of the optimization functional hierarchy structure of task, efficient, accurate and reasonable.
Illustratively, the mistake of the difference degree between group result and the multiple second packet result is preset in above-mentioned determination Journey can be carried out as follows: based on multiple second packets as a result, determining each atomic function in multiple atomic function Position coordinates in N-dimensional space, wherein N is equal to the other number of preset group.It is then based on default group result, determines multiple atoms The preset position coordinates of each atomic function in function in N-dimensional space.Based on the respective institute's rheme of the multiple atomic function Coordinate and the preset position coordinates are set, determines the classification difference vector for characterizing the difference degree.It is above-mentioned as a result, to be based on It may include: using above-mentioned classification difference vector to preset function level that difference degree, which is adjusted preset function hierarchical structure, Structure is adjusted, so that above-mentioned classification difference vector is close to 0.
For example, 5 default groups are shared, for a second packet as a result, if atomic function 1 is in the second packet knot It is fallen into fruit in preset group other 2, then the corresponding position coordinates of atomic function 1 are as follows: (0,1,0,0,0).For one second point Group is as a result, if atomic function 1 is fallen into the second packet result in preset group other 3, the corresponding position of atomic function 1 Coordinate are as follows: (0,0,3,0,0).And so on, coordinate of any atomic function in N-dimensional space in available multiple atomic function Position.Similarly also preset coordinate position of the available any atomic function in N-dimensional space.Based on each atomic function in N-dimensional The coordinate position in space and preset coordinate position can obtain the atomic function in the change vector in N-dimensional space.Based on multiple Change vector of the atomic function in N-dimensional space, available characterization preset function hierarchical structure and the desired optimization of multiple users Classification difference vector between functional hierarchy structure.
It further, can also be according to operation behavior data of multiple users in preset function hierarchical structure, to assess The ease for use of preset function hierarchical structure.It illustratively, can also include: to obtain according to the task processing method of the embodiment of the present disclosure Take the preset function hierarchical structure of the second task.Preset function hierarchical structure is pushed into multiple client, so as to any client End group executes the operation for searching any atomic function in the multiple atomic function in the preset function hierarchical structure.Then it obtains From the operation behavior data of multiple client, aforesaid operations behavioral data includes at least one of following: the operation time started, Operate deadline, operation behavior path, for the triggered time of any atomic function and for any atom The triggering times of function.The evaluation information about any atomic function, institute's commentary are determined based on aforesaid operations behavioral data Valence information includes at least one of following: operation success rate, operation failure rate, operation duration, length of operation path, straight line are completed Rate and rollback number.Then, based on above-mentioned multiple respective evaluation informations of atomic function to the preset function hierarchical structure It is adjusted, to obtain the functional hierarchy structure about second task.
In embodiment of the disclosure, after the functional hierarchy structure for obtaining first task, or to the second task After preset function hierarchical structure is adjusted, the optimization functional hierarchy structure of first task or the second task can be obtained.According to this The task processing method of open embodiment can also include: to show tool based on the functional hierarchy structure about the first task There is the man-machine interface of navigational structure corresponding with functional hierarchy structure.
Fig. 4 diagrammatically illustrates the flow chart of the task processing method according to another embodiment of the disclosure.
As shown in figure 4, this method may include following operation S401~S407.
In operation S401, according to test target and scene determination the test assignment type to be used.
Wherein, test assignment type includes open test task and closed test assignment.Open test task can To be first task described in method as shown in Figure 2, functional hierarchy structure is also not set, that is, is suitable for function number of packet And group names are uncertain, and acquisition is needed to meet the desired function structure field of user.Closed test assignment can be as shown in Figure 2 Second task described in method has preset functional hierarchy structure, that is, has been suitable for function number of packet and group names Fixed, assessment user is to the matching degree scene of specific function grouping and the grouping of set function or user in existing function structure Search the convenience or assessment scene of specific function.Open test task and closed test assignment can single use, can also To be used in mixed way according to concrete scene needs.
In operation S402, imports in test assignment to brake, generate virtual card.
Wherein, using virtual card as the identification information of atomic function in this example, virtual card and atomic function one are a pair of It answers.Open test task generates ungrouped virtual card list, and card name and function title to be measured correspond;Closing Formula test assignment generate the virtual card list that has been grouped, card name and grouping situation and existing navigational structure to be assessed or Function corresponds.
In operation S403, test assignment is set and is illustrated, illustrates to execute test assignment for guiding ginseng to survey user's reference.
In operation S404, multiple client executes test assignment respectively.
Wherein, ginseng survey user passes through respective client executing test assignment.For example, being used in open test task Family can complete function grouping by pulling virtual card in corresponding client.In closed test assignment, user is in phase The client answered completes specific function grouping by pulling virtual card, or is looked by clicking the virtual card functional tree that can be interacted Look for specific function.
In the test data for multiple users that operation S405, record multiple client are returned.
Wherein test data can be the first group result and second packet result described above.Such as open In test assignment, if two virtual cards are placed in same group by user, recording distance therebetween is 0.If user will Two virtual cards are placed in different groups, and recording distance therebetween is 1.In closed test assignment, record user will be empty Quasi- card is placed on the frequency in different groups, to assess user to specific function grouping and the matching degree of existing function structure, Or record user initiated tasks time T1, exit that task time T2, clicking virtual card i, (i is to be less than or equal to original more than or equal to 1 The integer of subfunction total number) time Ti, the behavioral datas such as number Ci, courses of action of clicking virtual card i.
In operation S406, user's test data is analyzed.
For example, the distance of all virtual cards between any two is carried out cumulative statistics, is formed in open test task Card distance matrix data, are then converted to similarity matrix, complete clustering by hierarchical clustering parser, and formed Dendrogram, to obtain the desired function grouping of user.In closed test assignment, by calculating user grouping and set grouping Statistical distance in hyperspace obtains user and it is expected grouping and both functional difference degrees.It illustratively, can will be every It opens card and is considered as 1 point in n given class dimension (n-dimensional space), by this card under existing mode classification in n classification On data be considered as it and calculate statistical distance of two points on n-dimensional space in 1 point of n-dimensional space, and then obtain whole cards The classification difference vector of piece, is considered as the difference degree of two kinds of packet modes with the length of the vector.And it can be opened by user The behaviors such as dynamic task time T1, the time Ti for exiting task time T2, clicking virtual card i, the number Ci for clicking virtual card i Data analyze user task success rate, mission failure rate, task and complete duration, user's click path, straight line completion rate and retract The analysis such as number.Wherein, task completion rate refers to that the number accounting for successfully clicking destination virtual card, mission failure rate are off The number accounting that task time do not click on destination virtual card still is exited, task completes duration and refers to that user clicks destination virtual card The time difference of piece and starting task, straight line completion rate, which refers to, does not repeat to click any virtual card, pre- according to test Phase path directly finds the accounting of target card, and rollback number refers to that the number of same virtual card is clicked in repetition, for showing Show that there may be the positions of problem for function name or classification.
In operation S407, test result is shown.
Wherein it is possible to show user's desired function grouping in open test task by matrix diagram, functional tree.It can To show task execution situation of the user in closed test by visual means such as pie chart, bar chart, path analysis figures. And then tester can know user for the desired function hierarchical structure of appointed task, to be designed or to be adjusted accordingly It is whole.
Fig. 5 diagrammatically illustrates the block diagram of the Task Processing Unit according to the embodiment of the present disclosure.
As shown in figure 5, the Task Processing Unit 500 includes: the first acquisition module 510, the first pushing module 520, first Receiving module 530, apart from determining module 540 and structure determination module 550.
First acquisition module 510 is used to obtain multiple atomic function of first task.
First pushing module 520 is used to first set pushing to multiple client, the first set include respectively with The corresponding multiple identification informations of the multiple atomic function, so that any client in the multiple client will be the multiple Identification information is distributed to one or more groups, to constitute the first group result of any client.
First receiving module 530 is used to receive multiple first group results from the multiple client.
It is used to be based on the multiple first group result apart from determining module 540, determine for characterizing the multiple atom The distance matrix of correlation between function.
Structure determination module 550 is used to be based on the distance matrix, determines the functional hierarchy knot about the first task Structure.
It should be noted that in device section Example each module/unit/subelement etc. embodiment, the skill of solution Art problem, the function of realization and the technical effect reached respectively with the implementation of corresponding step each in method section Example Mode, the technical issues of solving, the function of realization and the technical effect that reaches are same or like, and details are not described herein.
It is module according to an embodiment of the present disclosure, submodule, unit, any number of or in which any more in subelement A at least partly function can be realized in a module.It is single according to the module of the embodiment of the present disclosure, submodule, unit, son Any one or more in member can be split into multiple modules to realize.According to the module of the embodiment of the present disclosure, submodule, Any one or more in unit, subelement can at least be implemented partly as hardware circuit, such as field programmable gate Array (FPGA), programmable logic array (PLA), system on chip, the system on substrate, the system in encapsulation, dedicated integrated electricity Road (ASIC), or can be by the hardware or firmware for any other rational method for integrate or encapsulate to circuit come real Show, or with any one in three kinds of software, hardware and firmware implementations or with wherein any several appropriately combined next reality It is existing.Alternatively, can be at least by part according to one or more of the module of the embodiment of the present disclosure, submodule, unit, subelement Ground is embodied as computer program module, when the computer program module is run, can execute corresponding function.
For example, first obtain module 510, the first pushing module 520, the first receiving module 530, apart from determining module 540, And structure determination module 550.In any number of may be incorporated in a module realize or any one mould therein Block can be split into multiple modules.Alternatively, at least partly function of one or more modules in these modules can be with it He combines at least partly function of module, and realizes in a module.In accordance with an embodiment of the present disclosure, first module is obtained 510, the first pushing module 520, the first receiving module 530, apart from determining module 540 and structure determination module 550.In At least one can at least be implemented partly as hardware circuit, such as field programmable gate array (FPGA), programmable logic Array (PLA), system on chip, the system on substrate, the system in encapsulation, specific integrated circuit (ASIC), or can be by right Circuit carries out the hardware such as any other rational method that is integrated or encapsulating or firmware to realize, or with software, hardware and consolidates Any one in three kinds of implementations of part several appropriately combined is realized with wherein any.Alternatively, first obtains module 510, the first pushing module 520, the first receiving module 530, apart from determining module 540 and structure determination module 550.In At least one can at least be implemented partly as computer program module, can be with when the computer program module is run Execute corresponding function.
Fig. 6 is diagrammatically illustrated according to the computer system for being adapted for carrying out method as described above of the embodiment of the present disclosure Block diagram.Computer system shown in Fig. 6 is only an example, should not function to the embodiment of the present disclosure and use scope bring Any restrictions.
As shown in fig. 6, include processor 601 according to the computer system 600 of the embodiment of the present disclosure, it can be according to storage It is loaded into random access storage device (RAM) 603 in the program in read-only memory (ROM) 602 or from storage section 608 Program and execute various movements appropriate and processing.Processor 601 for example may include general purpose microprocessor (such as CPU), refer to Enable set processor and/or related chip group and/or special microprocessor (for example, specific integrated circuit (ASIC)), etc..Processing Device 601 can also include the onboard storage device for caching purposes.Processor 601 may include for executing according to disclosure reality Apply single treatment unit either multiple processing units of the different movements of the method flow of example.
In RAM 603, it is stored with system 600 and operates required various programs and data.Processor 601, ROM 602 with And RAM 603 is connected with each other by bus 604.Processor 601 is held by executing the program in ROM 602 and/or RAM 603 The various operations gone according to the method flow of the embodiment of the present disclosure.It is noted that described program also can store except ROM 602 In one or more memories other than RAM 603.Processor 601 can also be stored in one or more of by execution Program in memory executes the various operations of the method flow according to the embodiment of the present disclosure.
In accordance with an embodiment of the present disclosure, system 600 can also include input/output (I/O) interface 605, input/output (I/O) interface 605 is also connected to bus 604.System 600 can also include be connected to I/O interface 605 with one in lower component Item is multinomial: the importation 606 including keyboard, mouse etc.;Including such as cathode-ray tube (CRT), liquid crystal display (LCD) Deng and loudspeaker etc. output par, c 607;Storage section 608 including hard disk etc.;And including such as LAN card, modulatedemodulate Adjust the communications portion 609 of the network interface card of device etc..Communications portion 609 executes communication process via the network of such as internet. Driver 610 is also connected to I/O interface 605 as needed.Detachable media 611, such as disk, CD, magneto-optic disk, semiconductor Memory etc. is mounted on as needed on driver 610, in order to be pacified as needed from the computer program read thereon It is packed into storage section 608.
In accordance with an embodiment of the present disclosure, computer software journey may be implemented as according to the method flow of the embodiment of the present disclosure Sequence.For example, embodiment of the disclosure includes a kind of computer program product comprising be carried on computer readable storage medium Computer program, which includes the program code for method shown in execution flow chart.In such implementation In example, which can be downloaded and installed from network by communications portion 609, and/or from detachable media 611 It is mounted.When the computer program is executed by processor 601, the above-mentioned function limited in the system of the embodiment of the present disclosure is executed Energy.In accordance with an embodiment of the present disclosure, system as described above, unit, module, unit etc. can pass through computer program Module is realized.
The disclosure additionally provides a kind of computer readable storage medium, which can be above-mentioned reality It applies included in equipment/device/system described in example;Be also possible to individualism, and without be incorporated the equipment/device/ In system.Above-mentioned computer readable storage medium carries one or more program, when said one or multiple program quilts When execution, the method according to the embodiment of the present disclosure is realized.
Flow chart and block diagram in attached drawing are illustrated according to the system of the various embodiments of the disclosure, method and computer journey The architecture, function and operation in the cards of sequence product.In this regard, each box in flowchart or block diagram can generation A part of one module, program segment or code of table, a part of above-mentioned module, program segment or code include one or more Executable instruction for implementing the specified logical function.It should also be noted that in some implementations as replacements, institute in box The function of mark can also occur in a different order than that indicated in the drawings.For example, two boxes succeedingly indicated are practical On can be basically executed in parallel, they can also be executed in the opposite order sometimes, and this depends on the function involved.Also it wants It is noted that the combination of each box in block diagram or flow chart and the box in block diagram or flow chart, can use and execute rule The dedicated hardware based systems of fixed functions or operations is realized, or can use the group of specialized hardware and computer instruction It closes to realize.
It will be understood by those skilled in the art that although showing and describing referring to the certain exemplary embodiments of the disclosure The disclosure, it will be appreciated by those skilled in the art that in this public affairs limited without departing substantially from the following claims and their equivalents In the case where the spirit and scope opened, a variety of changes in form and details can be carried out to the disclosure.Therefore, the model of the disclosure It encloses and should not necessarily be limited by above-described embodiment, but should be not only determined by appended claims, also by appended claims Equivalent be defined.

Claims (10)

1. a kind of task processing method, comprising:
Obtain multiple atomic function of first task;
First set is pushed into multiple client, the first set includes corresponding with the multiple atomic function more respectively A identification information, so that any client in the multiple client distributes the multiple identification information to one or more Group, to constitute the first group result of any client;
Receive multiple first group results from the multiple client;
Based on the multiple first group result, the distance for characterizing correlation between the multiple atomic function is determined Matrix;And
Based on the distance matrix, the functional hierarchy structure about the first task is determined.
2. according to the method described in claim 1, wherein, described to be based on the multiple first group result, determination is for characterizing The distance matrix data of correlation include: between the multiple atomic function
It, will be between atomic function corresponding with same group of other any two identification information is belonged to for any first group result Distance value be set as 0, and will the distance between the corresponding atomic function of different from belonging to groups of other any two identification informations Value is set as 1;
Based on the multiple first group result, the distance between any two atomic function in the multiple atomic function is worth Added up, obtains the comprehensive distance value between any two atomic function;And
It constructs to obtain using the comprehensive distance value between any two atomic function in the multiple atomic function described apart from square Battle array.
3. method according to claim 1 or 2, wherein it is described to be based on the distance matrix, it determines about described first The functional hierarchy structure of business includes:
The distance matrix is converted into similarity matrix;
Clustering is carried out to the similarity matrix using hierarchical clustering parser, obtains dendrogram, the dendrogram For sign from down to high multiple levels, each level includes one or more classifications, and each classification includes one or more atomic function; And
The functional hierarchy structure is determined based on the dendrogram.
4. described to determine the functional hierarchy structure packet based on the dendrogram according to the method described in claim 3, wherein It includes:
Based on the group number of each first group result in the multiple first group result, the multiple first grouping is determined As a result average group number;
To have in the dendrogram with the level of the average the same number of class number of group as target highest level; And
Based on, from lowest hierarchical level to the structure of the target highest level, constructing the functional hierarchy structure in the dendrogram.
5. according to the method described in claim 1, further include:
The preset function hierarchical structure of the second task is obtained, the preset function hierarchical structure includes default group result, described Default group result includes one or more default groups and multiple atomic function;
Second set is pushed into the multiple client, the second set include one or more of default groups and Multiple identification informations corresponding with the multiple atomic function respectively, so that any client distributes the multiple identification information To one or more of default groups, any client is constituted by one or more of default groups after distributing Second packet result;
Receive multiple second packet results from the multiple client;
Determine the difference degree between the default group result and the multiple second packet result;And
The preset function hierarchical structure is adjusted based on the difference degree, to obtain about second task Functional hierarchy structure.
6. according to the method described in claim 5, wherein, group result and the multiple second packet result are preset in the determination Between difference degree include:
Based on the multiple second packet as a result, each atomic function in determining the multiple atomic function is in N-dimensional space Position coordinates, wherein N is equal to the other number of the preset group;
Based on the default group result, determine each atomic function in the multiple atomic function in the N-dimensional space Preset position coordinates;And
Based on the respective position coordinates of the multiple atomic function and the preset position coordinates, determine described for characterizing The classification difference vector of difference degree;
It is described based on the difference degree preset function hierarchical structure is adjusted include: using the classification difference to Amount is adjusted the preset function hierarchical structure.
7. according to the method described in claim 1, further include:
Obtain the preset function hierarchical structure of the second task;
The preset function hierarchical structure is pushed into the multiple client, so that any client is based on the preset function Hierarchical structure executes the operation for searching any atomic function in the multiple atomic function;
The operation behavior data from the multiple client are obtained, the operation behavior data include at least one of following: Operate time started, operation deadline, operation behavior path, the triggered time for any atomic function, Yi Jizhen To the triggering times of any atomic function;
Determine that the evaluation information about any atomic function, the evaluation information include such as based on the operation behavior data It is at least one of lower: operation success rate, operation failure rate, operation duration, length of operation path, straight line completion rate and rollback Number;And
The preset function hierarchical structure is adjusted based on the multiple atomic function respective evaluation information, to obtain Functional hierarchy structure about second task.
8. according to the method described in claim 1, further include:
Based on the functional hierarchy structure about the first task, showing has lead corresponding with the functional hierarchy structure The man-machine interface for structure of navigating.
9. a kind of Task Processing Unit, comprising:
First obtains module, for obtaining multiple atomic function of first task;
First pushing module, for first set to be pushed to multiple client, the first set include respectively with it is described more The corresponding multiple identification informations of a atomic function, so that any client in the multiple client believes the multiple mark Breath distribution is to one or more groups, to constitute the first group result of any client;
First receiving module, for receiving multiple first group results from the multiple client;
Apart from determining module, for being based on the multiple first group result, determine for characterize the multiple atomic function that The distance matrix of correlation between this;And
Structure determination module determines the functional hierarchy structure about the first task for being based on the distance matrix.
10. a kind of computer system, comprising:
Memory is stored with computer-readable instruction;
Processor, for executing the computer-readable instruction, to realize such as task according to any one of claims 1 to 8 Processing method.
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