CN106845781A - The generation system and method for scene and flow for operational trials - Google Patents
The generation system and method for scene and flow for operational trials Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract
The present invention provides a kind of system and method for being capable of system and the scene and flow that are reliably produce miscellaneous service test so that can reliable and comprehensively carry out operational trials analysis.The flow generation system of the operational trials includes：Factor storehouse, for storing as forming a factor for the minimal service element of business；Factor extracting unit, extracts the factor matched with the keyword extracted from business expository writing shelves from factor storehouse；Whether scene generation unit, makes the factor that factor extracting unit is extracted according to predetermined for specifying to have between each factor the factor relationships table pack of the relation of can be combined into scene；And scene sequencing unit, make scene generation unit generate scene according to the predetermined scene relation list sorting for the ordering relation between each scene in regulation business product process.
Description
Technical field
The present invention relates to operational trials analysis system, more particularly to the scene and flow that operational trials can be automatically generated for
System and method.
Background technology
The need for adapt to business development and risk management, many enterprises all develop or introduce business management system etc.,
Complexity is different, such as kernel business of bank system because of its class of business, business operation etc. for such business management system, its
The heart of banking system running as cash in banks, the important component of loan accounting processing etc., it is all on
Deposit, the business operation of loan account are completed in core business system.Its main business for example includes customer information
Management, deposit business, loan transaction, general ledger and these are deposited, the daytime operation of loan account etc..
In addition, with the continuous developing and innovation of business, it is often necessary to the software for meeting new business needs more newly developed
System etc..When a certain software systems newly developed to meet such service needed, it is necessary to the split software system for distributing
System in formal the reach the standard grade business diagnosis of advance row and operational trials, with verify its whether can complete required various functions, with
And whether can adapt to the various scenes that may occur when practical business is operated.
Implementing for traditional method for testing and analyzing be：Manual analysis business demand, one by one plucks demand by function point
Record, sequence, analysis, form scene requirement documents, and supplement the implicit demands such as industry universal rule, the good entry of all combings
Change demand carries out scene sequence according to actual services and functional realiey, then with sorted links be according to carry out flow write and after
It is continuous to perform.
The analysis result of this method is heavily dependent on personal work experience and professional knowledge ability, and analysis effect
Rate is relatively low.For the tester for being unfamiliar with this project business scope, business demand is taken passages quality and cannot be ensured, implicit demand rule
Then supplement cannot be comprehensive, and test analysis coverage rate cannot be up to standard, and project quality cannot be ensured.
In addition, enriching constantly with class of business, project is on the increase, and is needed when starting a new business to original industry
Business system carries out adding for New function module etc., when new additional functional module is related to extraction of former functional module or data etc.
When, it is necessary to be directed to New function make various tests with flow carry out stability test.Due to what's new and the phase of former function
Mutually intersect etc., tester is accomplished by Establishing process and grasps intercrossing of the old and new's function etc. comprehensively, to the industry of tester
Business grasp ability proposes requirement very high.Therefore, conventional method cannot adapt to bulk items and combined mega project
Test analysis need, and in order to improve analysis efficiency, influence of the individual factor to analysis result are reduced, in the urgent need to one kind can be
System and reliably write out the scene and flow of miscellaneous service test so that can reliable and comprehensively carry out operational trials analysis
Scene and flow generation system and method.
The content of the invention
For the demand, the present inventor have devised one kind can system and reliably write out miscellaneous service test use
Scene and flow scene and flow generation system and method so that can reliable and comprehensively carry out operational trials analysis.
A scheme of the invention is that a kind of scene for operational trials generates system, and it includes：Factor storehouse, for depositing
Storage is used as forming a factor for the minimal service element of business；Factor extracting unit, extracts and from originally from factor storehouse
The factor that the keyword that the explanation document of business is extracted matches；And scene generation unit, extract factor extracting unit
The factor according to predetermined for specifying whether to have between each factor the factor relationships table pack of the relation of can be combined into scene.
In the scene generation system, the factor can carry identification information and show the type letter of the type of the factor
Breath；Type at least includes product, role, channel, time, event, condition, the type of result seven；The type information of the factor is used for
Show that the factor is at least one in seven type.
In the action of factor extracting unit and scene generation unit, product, role in the factor, channel, time, thing
Part, the factor of condition types can be divided into business core layer, business execution level, business genetic horizon, business roles layer to enter
Row treatment, wherein business core layer include the product type factor, and business execution level includes event and the condition types factor, business hair
Generating layer includes time and the channel type factor, and business roles layer includes the character types factor.
Factor extracting unit can according to business core layer, business execution level, business genetic horizon, business roles layer order
Successively decimation factor.
Factor extracting unit can extract the keyword extracted with the explanation document from this business from factor storehouse first
The factor of type matching, belonging to business core layer, referring next to factor relationships table, successively extracts and the category for having extracted
There is the factor of the relation of can be combined between the factor of the type of preceding layer, and with reference to factor relationships table, extract and extracted
The event type factor has the factor of the result type of the relation of can be combined.
Factor extracting unit can belong to the factor of business execution level, business genetic horizon, business roles layer in successively extraction
When, factor relationships table is respectively referred to, be can be combined not having between the factor of type that is therein and belonging to this layer and preceding layers
The factor of relation is weeded out as redundancy.
Scene generation unit is referred to the factor relationships table, is performed according to business roles layer, business genetic horizon, business
Layer, the order of business roles layer make to adhere to the combinations of factors of each layer separately, and are taken according to the condition types factor used in this combination
With the corresponding result type factor, scene is generated.
Factor extracting unit can include：Extracted from factor storehouse and matched with the keyword extracted from business expository writing shelves
The product type factor module；With reference to factor relationships table, extract has combined pass with the product type factor for having extracted
The module of the event type factor of system；With reference to factor relationships table, the event type factor for extracting and having extracted has respectively can
The condition types of syntagmatic, time type, channel type, the module of the factor of result type；With reference to factor relationships table, from
Having when weeding out different between the three types factor in the condition types, time type, the factor of channel type that extract can
The module of the factor of syntagmatic；And with reference to factor relationships table, extract and condition types, time type, the channel after rejecting
The factor of type has the module of the character types factor of combined relation simultaneously.
Scene generation unit can make the factor that extracts by character types, time type, channel type, event type,
The sequential combination of condition types, product type, and with reference to factor relationships table, according to the condition types factor used in this combination
Arrange in pairs or groups the corresponding result type factor, generate scene.
Scene generation system of the invention can also include：Factor maintenance unit, when not said with from business in factor storehouse
During the factor that the keyword that plaintext shelves are extracted matches, generate the new factor corresponding with the keyword and store in factor storehouse, and
Explanation document according to this business, for each factor and the combined relation updating factor relation table of the new factor.Scene is generated
Unit can make the factor that factor extracting unit extracts and the new factor of factor maintenance unit generation according to the factor after renewal
Relation table is combined into scene.
Scene generation system of the invention can also include：Scene library, for the scene of saving scenario generation unit generation.
Another program of the present invention is that a kind of flow for operational trials generates system, including：Foregoing scene life
Into system；And scene sequencing unit, make the scene that scene generation unit is generated according to each field in the predetermined business for regulation
The scene relation list sorting of the ordering relation between scape and form executable flow.
Flow generation system can also include：Flow storehouse, for the flow of saving scenario sequencing unit generation.
Another scheme of the invention is a kind of scene generating method for operational trials, including：Factor extraction step,
The factor that the keyword extracted with the explanation document from this business matches is extracted from factor storehouse；Scene generation step, make because
The factor that sub- extraction step is extracted is according to predetermined factor relationships table pack into scene.Wherein, the factor is for forming one
The minimal service element of business；Whether factor relationships table is used to specify have the relation of can be combined between each factor.
Another scheme of the invention is a kind of flow generation method for operational trials, including：Foregoing field
Scape generation method；And scene sequence step, make the scene that scene generation step is generated according in the predetermined business for regulation
The scene relation list sorting of the ordering relation between each scene and form executable flow.
By above technical scheme, using the teaching of the invention it is possible to provide a kind of system and reliably to write out the scene of miscellaneous service test
And the generation system and method for flow so that can reliable and comprehensively carry out operational trials analysis.
Brief description of the drawings
Fig. 1 is the schematic diagram for illustrating to disassemble into business scene, the concept of the factor.
Fig. 2 is the figure for illustrating factor pattern of the invention.
Fig. 3 is the schematic diagram for illustrating the process of factor extraction of the invention and scene generation.
Fig. 4 is that factor extraction of operational trials flow and combinations thereof into scene is write in explanation by taking bank's related service as an example
A figure for example.
Fig. 5 is the figure for illustrating the generating process of the operational trials flow containing the new factor.
Fig. 6 is the functional block diagram for illustrating the system for realizing operational trials flow generation method of the invention.
Specific embodiment
The summary of the generation method of the scene for operational trials of the invention and flow is illustrated first.
Present invention original creation factor scene method.Fig. 1 is the signal for illustrating to disassemble into business scene, the concept of the factor
Figure.As shown in figure 1, first, it is several nodes that a business to be tested can be disassembled according to business operation order, and node is
Phasic results in whole business, and nodename, node sequence number, service product, stream are included by prespecified
The scene relation table of the information such as journey title makes node serial or parallel connection, constitutes whole business.
In each node, for example again may be because of the difference of executive agent, execution time, execution condition etc. comprising several
Scene, scene can be normal scene (scene that can smoothly run succeeded), or abnormal scene (i.e. because not meeting
Business handling condition etc. and perform failure scene).Annexation between nodename, scene and field where each scene
The information such as the operation factor involved by scape are predefined in scene relation table.
Each scene for example by executive agent, perform channel, perform the time, perform condition, perform event, service product,
The operation factors such as implementing result are constituted, wherein factor reusable.Operation factor be the Business Entity with practical significance, business move
The minimal service element such as work, business rule, each factor is assigned the information such as factor mark, attribute, state according to predetermined rule,
And set up database carry out classify storage and management.
Furthermore it is possible to the editor such as the factor data storehouse is increased and decreased or changed according to tested business demand safeguard.Needing
When the flow for carrying out operational trials is write, the business with this secondary test is extracted from factor storehouse according to predetermined rule
Associated operation factor, and carry out the permutation and combination of correlation factor automatically according to prespecified combinations of factors relation, generate
Meet the scene of the operational trials demand, finally couple together to form flow at predetermined regular by the scene of each node.Work as because
When there is no the required factor in word bank, in the required factor being filled into factor storehouse, and the mark of its correlation, category are assigned
Property, the information such as state, while being updated to the combined relation between the new factor and the existing factor.
In short, the scene generation system for operational trials of the invention includes：Factor storehouse, for storing as use
In one factor of the minimal service element of business of formation；Factor extracting unit, extracts and froming the perspective of from this business from factor storehouse
The factor that the keyword that plaintext shelves are extracted matches；And scene generation unit, make the factor that factor extracting unit is extracted by
According to predetermined for specifying whether to have between each factor the factor relationships table pack of the relation of can be combined into scene.Wherein, the factor
It is for forming a minimal service element for business.In addition, make scene generation system combined with scene sequencing unit, then
Constitute the flow for operational trials of the invention and generate system.The scene sequencing unit is used to generate scene generation unit
Scene form executable according to the predetermined scene relation list sorting for the ordering relation between each scene in regulation business
Flow.
In addition, when in factor storehouse not with from business expository writing shelves extract keyword match the factor when, generation with
The corresponding new factor storage of the keyword in factor storehouse, and according to the explanation document of this business, for each factor and this it is new because
The combined relation updating factor relation table of son.Scene generation unit can make the factor and the factor that factor extracting unit is extracted
The new factor of maintenance unit generation is according to the factor relationships table pack after renewal into scene.
The following detailed description of.
(1) operation factor and its classification
Operation factor is the minimal service element of the Business Entity with practical significance, business action, business rule etc..Often
Individual operation factor has corresponding data dictionary.Data dictionary can be realized by several fields, and the factor is stored respectively
The information such as mark, attribute and state.The identification information of the so-called factor, for example, can be the numbering of the factor, title, definition, affiliated
Business etc.；The attribute information of the so-called factor, the factor pattern that can be for example discussed further below etc.；The status information of the so-called factor,
For example can be date of formation, maintenance dates, last associated item, factor availability (whether can be used) of the factor etc..Each industry
Business the factor pass through its data dictionary field in information and can position, may be updated, reusable.
Database (calling factor storehouse in the following text) is set up for operation factor, and classify storage and management are carried out according to its type.For
Raising write testing process efficiency, ensure testing process key element it is comprehensive, preferred pair operation factor is according to such as industry of Fig. 2
Classify as shown in business factor pattern explanatory diagram, specifically, factor pattern can include：
" product ":Business core content.Can be related to certain business bar line, the specific industry of certain class from for operational angle
Business product.For example：Fixed deposit business, current deposit business etc..
" role ":Act the executive agent for occurring, it is understood that be the operator or user of system.For example：Handle
People, check people etc..
" channel ":Channel or system that action may occur.For example：Web bank, Mobile banking, wechat bank etc..
" time ":Act generable time point or time period.For example：Non operation time, to leave of absence to attend to public affairs day, business hours
Deng.
" event ":The action that may truly occur.For example：Withdraw the money, deposit etc..
" condition ":The factor that permission/constraint/influence business, operation are carried out.Account terms, logic can be for example categorized as will
Plain condition, physical element condition, mechanism's condition, conjunction rule condition etc..
" result ":The result that action is produced after occurring, including the result obtained after normal/abnormal flow terminates.Result can
Can be normal, it is also possible to be exception, it is also possible to be output formula.For example：Success, failure, inspection formula of specific data value etc..
Wherein, on " condition ", for bank's related service, for example, account terms, logical element bar can be included
Part, physical element condition, mechanism's condition, conjunction rule condition etc..
So-called account terms, refer to the condition relevant in itself with account, such as account status, Account Type, account balance
Whether abundance etc..
So-called logical element condition, refers to the condition related to service logic key element, for example：Bill date of draft can not be big
In due date etc..
So-called physical element condition, refers to the condition related to tangible media, such as USBKEY, deposit receipt.
So-called mechanism's condition, refers to the related condition of the mechanism that is related to of business, such as head office, between branch, subbranch；Beijing
Between Shanghai etc..
So-called conjunction rule condition, refers to the condition relevant with relevant institutions laws and regulations, and such as system of real name is opened an account.
Classified by the as above factor, the factor is separated, can quickly searched according to demand and extract the required factor, pressed
Permutation and combination is carried out according to factor relationships table described later, the efficiency of writing scene and flow has not only been improved but also has been ensured scene and flow
Key element it is comprehensive.
In addition, the result produced by the scene that acts of " result " factor representation, represents the end of the scene.At some
In the case of, " result " factor of a scene is likely to become " condition " factor of another scene, such as when A scenes turn into B scenes
During the precondition of execution, " result " factor of A scenes will turn into " condition " factor of B scenes, i.e. " result " of A scenes because
Son is also just into a part for B scenes.This is also described hereinafter.
Herein it should be noted that above-mentioned mode classification covers the required whole fundamentals of business action, but
From for the angle of the permutation and combination of the factor, when above-mentioned a certain type only has a factor, do not have various factors it is available, from
And when there is multiple combination scheme, the type and its factor just do not have substantive significance for the possibility of permutation and combination
, the type and its factor can also be now omitted, it is when complete scene is write, the content of this type and its factor is automatic
It is added to flow.
The above factor is stored in the way of database in a computer, and can be set up factor data table and come by type
Each factor is stored and manages, the efficiency thus, it is possible to improve factor extraction.
(2) extraction of the factor
For the combined relation of each factor, factor relationships table is set up according to practical business executing rule etc. in advance, the table
In define which factor can constitute scene with which combinations of factors, do not show to be combined in the factor relationships table because
Son can not be combined.
Fig. 3 is the schematic diagram for illustrating the process of factor extraction of the invention and scene generation.Reference picture 3, it is contemplated that
The efficiency of operation factor is extracted according to the screening of factor relationships table, factor type is directed in factor extraction process and scene generating process
Type and be divided into business core layer, business execution level, business genetic horizon, business roles layer this four layers and processed.Wherein it is possible to
It is operation factor of the business core layer including " product " type, business execution level includes " event " and " condition " two industry of type
The business factor, business genetic horizon includes " time " and " channel " two operation factors of type, and business roles layer includes " role " class
The operation factor of type.
During decimation factor, preferably according to business core layer, business execution level, business genetic horizon, business roles
The order successively decimation factor of layer.First, the keyword phase extracted with the explanation document from this business is extracted from factor storehouse
Matching, the factor of type (i.e. " product " type) that is belonging to business core layer, referring next to factor relationships table, successively extract with
There is the factor of the relation of can be combined between the factor of the type of preceding layer that what is extracted belong to, and with reference to factor relationships table, extract
With the factor of the result type that the event type factor for having extracted has the relation of can be combined.That is, according to the type of adjacent layer
Relation can be combined between the factor, successively extract.
Specifically, the explanation document first to business to be measured carries out keyword retrieval, extract its explanation document in
The keyword of reflection business core content, will belong to type, i.e. " product " class of business core layer in the keyword and factor storehouse
The factor of type is matched, and filters out the factor of whole " product " type of correlation.
Next, with reference to factor relationships table, extract has the relation of can be combined, category with selected " product " the type factor
Type, i.e. " event ", the factor of " condition " type in business execution level.Now, extracted and follow-up scene to improve the factor
The efficiency of generation, preferably with reference to factor relationships table, by " event " factor and " condition " therebetween without the relation of can be combined
The factor is weeded out as redundancy.
Next, with reference to factor relationships table, extraction has respectively with the factor of selected " event ", " condition " type can
Syntagmatic, belong to the type of business genetic horizon, i.e. " time ", the factor of " channel " type.Now, it is similarly the raising factor
Extract and the generation of follow-up scene efficiency, preferably with reference to factor relationships table, by therebetween without the relation of can be combined " when
Between " factor and " channel " factor weed out as redundancy, also, by " time ", the factor of " channel " type with belong to
The factor without the relation of can be combined between the type of business core layer, the i.e. factor of " product " type is weeded out as redundancy.
Then, with reference to factor relationships table, extraction has respectively with the factor of selected " time ", " channel " type can group
The factor of " role " type of conjunction relation.Now, the efficiency for improving that the factor is extracted and follow-up scene is generated is similarly, is preferably joined
According to factor relationships table, by the factor of " role " type with belong to business execution level, the type of business core layer, i.e. " thing
The factor without the relation of can be combined between part ", " condition ", the factor of " product " type is weeded out as redundancy.
In addition, with reference to factor relationships table, extracting " the knot that there is the relation of can be combined with selected " event " the type factor
Really " the factor of type.
For conclusion, successively taken out according to the order of business core layer, business execution level, business genetic horizon, business roles layer
Take the factor.That is, extracted from factor storehouse first it is matching with the keyword extracted from the explanation document of this business, belong to industry
The factor of the type of core layer of being engaged in, referring next to factor relationships table, successively extracts and the type for belonging to preceding layer for having extracted
The factor between there is the factor of the relation of can be combined, and with reference to factor relationships table, extract and the event type factor tool for having extracted
There is the factor of the result type of combined relation.Successively extract belong to business execution level, business genetic horizon, business roles layer
During the factor, factor relationships table is respectively referred to, can by not having between the factor of type that is therein and belonging to this layer and preceding layers
The factor of syntagmatic is weeded out as redundancy.
Further, since whole business is substantially conspired to create by several events, therefore further to improve what screening was extracted
Efficiency, it is also possible to the which first factor based on " product " type extracts " event " the type factor for having combined relation with it, so
Afterwards with reference to factor relationships table, " condition ", " time ", " canal respectively with " event " factor with the relation of can be combined are extracted
The factor in road ", " result " type, then makees " condition ", the factor without the relation of can be combined between " time ", " channel " three
For redundancy is weeded out.Referring next to factor relationships table, extract with remaining " condition ", " time ", " channel " type the factor
There is the factor of " role " type of combined relation simultaneously.
(3) generation of scene and flow
After extracting all correlation factors as described above, the execution of the scene for being generated for convenience, preferably as shown in Figure 3
Like that, according to business roles layer, the order of business genetic horizon, business execution level, business core layer, make respectively with reference to factor relationships table
Factorial arrangement is combined, and according to the condition types factor corresponding result type factor of collocation used in this combination, is combined into
Scene.
For ease of understanding, Fig. 4 shows the example of the scene generation of the operational trials by taking bank's related service as an example.Example
As being previously stored with the following factor in factor storehouse：
" role ":Personal A, individual B, to public A, to public B, mechanism A ...
" time ":Business hours on working day, working day non operation time, business hours legal festivals and holidays, legal festivals and holidays
Non operation time, securities market time ...
" channel ":Net silver BS, Net silver CS, Mobile banking, cabinet face, self-service terminal machine ...
" event ":Deposit, transfer accounts, finance product is bought, open-ended fund are redeemed, financing ...
" condition ":Account balance is sufficient, account balance is not enough, account is abnormal, medium is abnormal, Ukey certificate expireds ...
" product ":Current deposit, fixed deposit, open-ended fund, expected type finance product, net value type finance product ...
" result ":Postpone purchase, legal festivals and holidays of success, failure, CVV check errors, legal festivals and holidays postpone and redeem
Return ...
By taking retail trade as an example, for its service description document, by as above factor extraction process, in having extracted Fig. 4
The factor (be illustrative ease, each type only extracts two factors in example) of grey, and then, all types of combinations of factors go out as
Lower scene：
Scene 1：Personal A, the business hours on weekdays, in cabinet face buying expectation type finance product, fills in account balance
In the case of foot, buy successfully；
Scene 2：Personal B, in the non operation time of legal festivals and holidays, redeems open-ended fund, in account in Mobile banking
In the case of remaining sum abundance, legal festivals and holidays, redemption of postponing are pointed out.
It is combined go out scene sequencing numbers can be endowed by the order based on each node in scene relation table, belong to
The scene of same node is identified the upper node number so that sequencing is formed between each scene of adjacent node and front and rear dependence is closed
System, ultimately forms flow.The scene for having generated can be stored in standby in scene library so that be carried out for similar business later
During operational trials, the scene is directly extracted from scene library, so as to save decimation factor again and be combined into these
The process of scape, it is possible to increase the efficiency of operational trials.
In addition, established flow can also be stored in it is standby in flow storehouse so that carried out for similar business later
During operational trials, the flow is directly extracted from flow storehouse, the process of these flows is regenerated so as to save, can
Improve the efficiency of operational trials.
(4) generation of the scene and flow of new business
When continuous developing and innovation with business occur in that new business, in the service description document of new business
It is possible that the new factor in not being embodied in factor storehouse.Now, keyword is extracted from business expository writing shelves, by itself and original
There is the factor in factor storehouse to be matched, for the factor that can be matched, phase is extracted from factor storehouse according to as above method
The factor answered, and for not matching the keyword of the factor, generate its corresponding new factor and be saved in factor storehouse, while
According to the explanation document of this business, for the combined relation updating factor relation table between these new factors and original factor.
Fig. 5 is the figure for illustrating the generating process of the operational trials flow containing the new factor.First, for new industry
Business, illustrates that document is updated (not shown) to scene relation table according to it.Then, shown in reference picture 5, by the new factor and from because
Extracted in word bank it is related to the business accumulated historical factors together be combined according to the factor relationships table after renewal,
New scene of the generation containing the new factor, is saved into scene library.In addition, for not used during combinations of factors
The scene of the new factor, directly can extract from the historic scenery of accumulation related to the business.Finally by new scene and accumulate
Tired historic scenery is attached according to the scene relation table after renewal, forms new flow.The flow can be stored in flow
In storehouse, to need to carry out during the test of related service later, the flow can be directly called from flow storehouse, it is to avoid same
The waste and the reduction of operating efficiency that repeatedly generate caused system resource of flow.
(5) system for performing the generation method of above-mentioned scene and flow
Above-mentioned scene and flow generation method can be realized using computer etc. in the way of software and hardware combining.Fig. 6 shows
A kind of functional block diagram of the system for realizing above-mentioned scene and flow generation method.
As shown in fig. 6, flow generation system includes execution unit 100 and database 200.Execution unit 100 includes
Factor extracting unit 110, scene generation unit 120, scene sequencing unit 130, factor maintenance unit 140.
Database 200 includes scene library 220, the storage of the scene that the factor storehouse 210 of the storage service factor, storage have generated
The flow storehouse 230 of the flow for having generated, for specifying all types of factors between combined relation factor relationships table 240, by class
Type preserves the factor data tables 250 of information such as the data dictionary corresponding to each factor and between each scene in regulation business
Ordering relation scene relation table 260.
Factor extracting unit 110 includes extracting the tested requirement extract function of keyword from business expository writing shelves and presses
The factor that the factor matched with the keyword extracted from business expository writing shelves is extracted from factor storehouse according to factor relationships table 240 is taken out
Take function.
Scene generation unit 120 includes making the factor that factor extracting unit 110 is extracted be combined according to factor relationships table 240
The scene calling function of the historic scenery for having generated is called into the scene systematic function of scene and from scene library.
The scene for generating scene generation unit 120 that scene sequencing unit 130 includes sort according to scene relation table 260 and
The flow systematic function of product process and the process invocation function of the history flow for having generated is called from flow storehouse.
Factor maintenance unit 140 includes the keyword generation extracted from business expository writing shelves according to factor extracting unit 110
The new factor corresponding with the keyword is simultaneously stored to the new factor systematic function in factor storehouse 210, to the factor in factor storehouse 210
Carry out edit-modify factor editting function and according to the explanation document of this business to factor relationships table 240 in each factor
Between combined relation enter edlin maintenance factor relationships maintenance function.
In addition, in the above description, illustrating whether to have can be combined between specifying each factor by factor relationships table to close
The mode of system, when the factor is more or relation between it is extremely complex, it is also possible to prepare multiple factor relationships tables to specify it
Between combined relation, the plurality of table can also Components relation storehouse form.Similarly, for specifying scene between company
The scene relation table for connecing relation can also be multiple tables, constitute the form in scene relation storehouse.
In addition, factor relationships table 240, factor data table 250 can also constitute a database, scene with factor storehouse 210
Relation table 260 can also constitute a database with scene library 220.Or, they can also constitute a number with flow storehouse 230
According to storehouse.
The scene and flow generation method and system of operational trials of the invention described above, can constantly update industry
Business factor storehouse, scene library, flow storehouse, grow resource accumulation.Due to using by by attribute for example Business Entity, business action etc. carried out
The minimal service combinations of factors of Classification Management forms new scene and flow, therefore operation factor extent for multiplexing is high, factor storehouse, field
Jing Ku, flow Kucheng are the resource container with duplication of production ability, can make the scene analysis of operational trials more comprehensively,
Stabilization, reliability, solve the problems, such as that the flow covering caused by the limitation that individual is understood business is not enough.Due to being to be
System automatic batch generation scene and flow, therefore analysis and preparation time before test can be shortened, test analysis efficiency is improved,
Compression verification analytical cycle.
Claims (26)
1. a kind of scene for operational trials generates system, it is characterised in that including：
Factor storehouse, for store as formation one factor of the minimal service element of business,
Factor extracting unit, extracted from the factor storehouse with the keyword from the extraction of the explanation document of this business match because
Son, and
Scene generation unit, makes the factor that the factor extracting unit is extracted according to predetermined for specifying to be between each factor
The no factor relationships table pack with combined relation is into scene.
2. scene as claimed in claim 1 generates system, it is characterised in that
Type information of the factor with identification information and the type for showing the factor；
The type at least includes product, role, channel, time, event, condition, the type of result seven；
The type information of the factor is used to show that the factor is at least one in seven type.
3. scene as claimed in claim 2 generates system, it is characterised in that
In the action of the factor extracting unit and the scene generation unit, product, role, channel in the factor,
Time, event, the factor of condition types are divided into business core layer, business execution level, business genetic horizon, business roles layer and come
Processed, wherein the business core layer includes the product type factor, the business execution level includes event and condition types
The factor, the business genetic horizon includes time and the channel type factor, and the business roles layer includes the character types factor.
4. scene as claimed in claim 3 generates system, it is characterised in that
The factor extracting unit is according to the business core layer, the business execution level, the business genetic horizon, the business
The order of role's layer successively extracts the factor.
5. scene as claimed in claim 4 generates system, it is characterised in that
The factor extracting unit extracts the keyword phase extracted with the explanation document from this business from factor storehouse first
The factor of type matching somebody with somebody, belonging to the business core layer, referring next to the factor relationships table, successively extracts and has extracted
The type for belonging to preceding layer the factor between there is the factor of the relation of can be combined, and with reference to the factor relationships table, extract with
The event type factor for extracting has the factor of the result type of the relation of can be combined.
6. scene as claimed in claim 5 generates system, it is characterised in that
The factor extracting unit belongs to the business execution level, the business genetic horizon, the business roles in successively extraction
During the factor of layer, the factor relationships table is respectively referred to, by between the factor of type that is therein and belonging to this layer and preceding layers
The factor without combined relation is weeded out as redundancy.
7. the scene as described in any one of claim 3 to 6 generates system, it is characterised in that
The scene generation unit with reference to the factor relationships table, according to business roles layer, the business genetic horizon, described
Business execution level, the order of business roles layer make to adhere to the combinations of factors of each layer separately, and according to the bar used in this combination
The corresponding result type factor of part type factor collocation, generates scene.
8. scene as claimed in claim 2 generates system, it is characterised in that
The factor extracting unit includes：
The module of the product type factor matched with the keyword extracted from business expository writing shelves is extracted from factor storehouse,
With reference to the factor relationships table, the event class that there is the relation of can be combined with the product type factor for having extracted is extracted
The module of the type factor,
With reference to the factor relationships table, the bar respectively with the event type factor for having extracted with the relation of can be combined is extracted
Part type, time type, channel type, the module of the factor of result type,
With reference to the factor relationships table, rejected from the condition types, time type, the factor of channel type that have extracted
The module of the factor with combined relation when falling different between the three types factor, and
With reference to the factor relationships table, extract and the condition types, time type, the factor of channel type after the rejecting
There is the module of the character types factor of combined relation simultaneously.
9. scene as claimed in claim 8 generates system, it is characterised in that
The scene generation unit make the factor that extracts by the character types, time type, channel type, event type,
The sequential combination of condition types, product type, and with reference to the factor relationships table, according to the condition types used in this combination
The corresponding result type factor of factor collocation, generates scene.
10. scene as claimed in claim 1 generates system, it is characterised in that also include：
Factor maintenance unit, it is raw when the factor not matched with the keyword extracted from business expository writing shelves in factor storehouse
In into new factor storage corresponding with the keyword to the factor storehouse, and according to the explanation document of this business, for each factor
Combined relation with the new factor updates the factor relationships table；
The scene generation unit makes the new of the factor that the factor extracting unit extracts and factor maintenance unit generation
The factor is according to the factor relationships table pack after renewal into scene.
11. scene generation systems as claimed in claim 1, it is characterised in that also include：
Scene library, the scene for preserving the scene generation unit generation.
A kind of 12. flows for operational trials generate system, it is characterised in that including：
Scene generation system described in any one of claim 1 to 11, and
Scene sequencing unit, makes the scene of the scene generation unit generation according between each scene in the predetermined business for regulation
Ordering relation scene relation list sorting and form executable flow.
13. flow generation systems as claimed in claim 12, it is characterised in that also include：
Flow storehouse, the flow for preserving the scene sequencing unit generation.
A kind of 14. scene generating methods for operational trials, it is characterised in that including：
Factor extraction step, extracts the factor that the keyword extracted with the explanation document from this business matches from factor storehouse,
Scene generation step, makes the factor that the factor extraction step is extracted according to predetermined factor relationships table pack into field
Scape；
Wherein, the factor is for forming a minimal service element for business；
Whether the factor relationships table is used to specify have the relation of can be combined between each factor.
15. scene generating methods as claimed in claim 14, it is characterised in that
Type information of the factor with identification information and the type for showing the factor；
The type at least includes product, role, channel, time, event, condition, the type of result seven；
The type information of the factor is used to show that the factor is at least one in seven type.
16. scene generating methods as claimed in claim 15, it is characterised in that
In the factor extraction step and the scene generation step, product, role in the factor, channel, time, thing
Part, the factor of condition types are divided into business core layer, business execution level, business genetic horizon, business roles layer to be located
Reason, wherein the business core layer includes the product type factor, the business execution level includes event and the condition types factor, institute
Stating business genetic horizon includes time and the channel type factor, and the business roles layer includes the character types factor.
17. scene generating methods as claimed in claim 16, it is characterised in that
In the factor extraction step, according to the business core layer, the business execution level, the business genetic horizon, institute
The order for stating business roles layer successively extracts the factor.
18. scene generating methods as claimed in claim 17, it is characterised in that
In the factor extraction step, the keyword extracted with the explanation document from this business is extracted from factor storehouse first
The factor of type matching, belonging to the business core layer, referring next to the factor relationships table, successively extracts and has taken out
There is the factor of the relation of can be combined between the factor of the type for belonging to preceding layer taken out, and with reference to the factor relationships table, extract
With the factor of the result type that the event type factor for having extracted has the relation of can be combined.
19. scene generating methods as claimed in claim 18, it is characterised in that
In the factor extraction step, the business execution level, the business genetic horizon, the business are belonged to successively extracting
Role layer the factor when, respectively refer to the factor relationships table, by it is therein with belong to this layer and preceding layers type because
The factor without the relation of can be combined between son is weeded out as redundancy.
20. scene generating method as described in any one of claim 16 to 19, it is characterised in that
In the scene generation step, with reference to the factor relationships table, occur according to business roles layer, the business
Layer, the order of the business execution level, the business roles layer make to adhere to the combinations of factors of each layer separately, and are made according in this combination
The corresponding result type factor of condition types factor collocation, generates scene.
21. scene generating methods as claimed in claim 15, it is characterised in that
The factor extraction step includes：
The step of product type factor matched with the keyword extracted from business expository writing shelves is extracted from factor storehouse,
With reference to the factor relationships table, the event class that there is the relation of can be combined with the product type factor for having extracted is extracted
The step of type factor,
With reference to the factor relationships table, the bar respectively with the event type factor for having extracted with the relation of can be combined is extracted
The step of part type, time type, channel type, factor of result type,
With reference to the factor relationships table, rejected from the condition types, time type, the factor of channel type that have extracted
When falling different between the three types factor the step of factor with combined relation, and
With reference to the factor relationships table, extract and the condition types, time type, the factor of channel type after the rejecting
The step of there is the character types factor of combined relation simultaneously.
22. scene generating methods as claimed in claim 21, it is characterised in that
In the scene generation step, make the factor for extracting by the character types, time type, channel type, event
Type, condition types, the sequential combination of product type, and with reference to the factor relationships table, according to the bar used in this combination
The corresponding result type factor of part type factor collocation, generates scene.
23. scene generating methods as claimed in claim 14, it is characterised in that also include：
The factor safeguards step, raw when the factor not matched with the keyword extracted from business expository writing shelves in factor storehouse
In into new factor storage corresponding with the keyword to the factor storehouse, and according to the explanation document of this business, for each factor
Combined relation with the new factor updates the factor relationships table；
In the scene generation step, the factor and the factor that are extracted in the factor extraction step is set to safeguard step
The new factor of middle generation is according to the factor relationships table pack after renewal into scene.
24. scene generating methods as claimed in claim 14, it is characterised in that also include：
Scene preserves step, and the scene generated in the scene generation step is saved in scene library.
A kind of 25. flow generation methods for operational trials, it is characterised in that including：
Scene generating method described in any one of claim 15 to 24, and
Scene sequence step, makes the scene of the scene generation step generation according between each scene in the predetermined business for regulation
Ordering relation scene relation list sorting and form executable flow.
26. flow generation methods as claimed in claim 25, it is characterised in that also include：
Flow preserves step, and the flow formed in the scene sequence step is saved in flow storehouse.
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