CN104572449A - Automatic test method based on case library - Google Patents
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Abstract
The invention discloses an automatic test method based on a case library. The method comprises the following steps: (a) primarily classifying all business types of the system according to affiliated functional modules, wherein each business type at least includes a business flow node; (b) classifying all business types by adopting a clustering algorithm according to the similarity of the flow node included by the business type; (c) determining the business type involved by the demand alteration, and calculating an affecting weight of the demand alteration to the associated business type according to a layering analysis method; (d) sequencing and sorting out the associated businesses to form a test business collection according to the affecting weight, extracting cases for test from the case library according to a name of the test business and forming an automatic test script. According to the method, all business are primarily classified and classified according to similarity, and the associated businesses are sequenced and sorted after the affecting weight of the demand alteration to the associated businesses, so that the consistency of the screening granularity of the cases for the test can be guaranteed, and the test case coverage rage and test efficiency can be improved.
Description
Technical field
The present invention relates to a kind of system business method of testing, particularly relate to a kind of automated testing method based on use-case storehouse.
Background technology
In today of information-based develop rapidly, the update of network support class application software is more and more faster, and client proposes two high request to Efficiency of Software Testing, software quality.Under this overall background, as the network operation industry of communication load, be faced with unprecedented challenge especially, the renewal efficiency of network support product, quality directly affect the quality of service, how to allow business reach the standard grade as early as possible, normally run, test is an important step.Communication network support product business is complicated, the degree of association is high, data volume is large, and how within the short time, carry out Test coverage accurately to a complicated operation system and become the matter of utmost importance that current test considers, automatic test performs directly will improve testing efficiency.
In the last few years, software testing technology presents the situation of high speed development, testing tool emerges in an endless stream, automatization testing technique achieves significant progress, but automatic test does not realize use-case to carry out screening and performing according to certain standard, whole execution and manual screening remain the mode of operation of main flow, and the source of summing up current test case mainly contains following several respects:
All scripts and use-case all perform test: all scripts and use-case by any screening, all do not trigger execution.No matter the change size of system under test (SUT), unconditionally performs all scripts and use-case afterwards in change, and analysis after performing and positioning problems.
Manual screening use-case and script perform test: according to the module involved by change business and changed content, in conjunction with the working experience of self, carry out the screening of use-case and script, then carry out craft and automatic test.
The screening of above-mentioned test case and execution are difficult to the restriction breaking through self, high efficiency execution test assignment in complication system.Add the restriction of peopleware, the screening of test case is difficult to go to weigh according to unified standard, therefore be necessary the screening process standardization of test case, by the screening of test case and the constraint performing disengaging peopleware, set up a set of effective test execution method.
In the face of communications industry application system new demand is many and complicated, demand changes the situations such as frequent, version updating is fast, business is staggered, the test duration is urgent, the above-mentioned test case mentioned is screened and executive mode, obviously be difficult to satisfy the demand, after low use-case efficiency and the incomplete situation of Test coverage will inevitably cause online implementing, problem occurs frequently, and has a strong impact on service quality and company's benefit.
In the information age that the time is supreme, project process is all linked with one another, and the test duration is urgent, and pile up like a mountain especially for test case, manual screening test cases, not only inefficiency, and coverage rate can decline greatly, line mass on influential system.Therefore existing use-case screening and executive mode, mainly contain following shortcoming:
Execution efficiency is low: script and test case do not do any screening, unconditional all execution.Such meeting directly increases the weight of the burden of test execution, and all scripts all perform, and the analysis task after script obviously can be caused to perform increases, and impels the test execution time to lengthen, and can not meet the requirement of Quick thread test;
Use-case coverage rate is low, tests insufficient: artificial screening use-case, there is larger randomness, and if tester lack experience, test case coverage rate can be caused further low, insufficient to demand test, directly cause reaching the standard grade of poor quality;
Test case screening granularity is inconsistent: the screening of test case is not sought unity of standard, and is all to screen according to the experience of individual, this screening mode varied with each individual, and by directly causing, the granularity of test execution is inconsistent, can not form unified standard;
Use-case life cycle management is chaotic: when business function change or after rolling off the production line, test case and script can not be made adjustment immediately and delete, affect the execution of follow-up test execution and script, can cause the obstruction that script performs, the inexecutable phenomenon of use-case occurs.
Summary of the invention
Technical matters to be solved by this invention is to provide a kind of automated testing method based on use-case storehouse, can ensure the consistance of test case screening granularity, improve test case coverage rate and testing efficiency.
The present invention solves the problems of the technologies described above the technical scheme adopted to be to provide a kind of automated testing method based on use-case storehouse, comprise the steps: that all types of service a) first system comprised tentatively are sorted out by affiliated functional module, each type of service at least comprises an operation flow node; B) then adopt clustering algorithm to all types of service, the similarity of the flow nodes comprised according to it is classified; C) determine that demand changes the type of service related to, changing according to analytical hierarchy process computation requirement affects weights to associated services type; D) according to affecting weights size, the set of sequence screening formation test service being carried out to associated services, then from use-case storehouse, extracting test case according to test service title and forming automatic test script.
The above-mentioned automated testing method based on use-case storehouse, wherein, described step a) in each operation flow node comprise affiliated functional module, interface parameter configuration and database table.
The above-mentioned automated testing method based on use-case storehouse, wherein, described step b) comprise the steps: to determine the functional module in the rear each type of service of preliminary classification and operation flow node, the quantitative relationship between interface parameter configuration with database table, if relevant, imparting value 1, otherwise imparting value 0; Specify clusters number k, and all samples are divided into k class, k is positive integer, and the minimum value of k is 2, and maximal value is no more than sample number; Select the type of service sample of the capable new demand impact of k as the central point of cluster, select Euclidean distance to calculate the distance of data sample point and central point as similarity measurement.
The above-mentioned automated testing method based on use-case storehouse, wherein, described step c) be destination layer with new demand, to pass through the sorted type of service of clustering algorithm for rule layer Judgement Matricies, by obtaining judgment matrix eigenvalue of maximum and corresponding characteristic vector W thereof, after normalization, being each type of service affects weights for new demand.
The above-mentioned automated testing method based on use-case storehouse, wherein, described step a) in preliminary sort out after type of service comprise the business b1 that opens an account, transfer transaction b2, deciliter family business b3 and fee payment service b4, described new demand is system of real name demand A, described analytical hierarchy process adopts and changes database table as solution layer, and described change database table comprises the tabulation of real name table and adds C1 and client's literary name section interpolation C2; According to described step b) the sorted type of service of middle employing clustering algorithm, determine that the type of service be associated with system of real name demand A comprises the business b1 that opens an account, transfer transaction b2, deciliter family business b3 and fee payment service b4; Described step c) comprise following process: i) first Judgement Matricies A-B judges the degree of association of system of real name demand A to the business b1 that opens an account, transfer transaction b2, deciliter family business b3 and fee payment service b4; Ii) build matrix b1-C, two the scheme real name table tabulations judging to realize system of real name demand add C1 and client's literary name section interpolation C2 to the impact of the business b1 that opens an account; Iii) build matrix b2-C, two the scheme real name table tabulations judging to realize system of real name demand add C1 and client's literary name section interpolation C2 to the impact of transfer transaction b2; Iv) build matrix b3-C, two the scheme real name table tabulations judging to realize system of real name demand add C1 and client's literary name section interpolation C2 to a deciliter impact of family business b3; V) build matrix b4-C, two the scheme real name table tabulations judging to realize system of real name demand add C1 and client's literary name section interpolation C2 to the impact of fee payment service b4; Vi) use extraction of root to calculate the weighted value of each matrix, show that real name tabulation is added C1 and client's literary name section and added C2 and affect weights size to each type of service.
The above-mentioned automated testing method based on use-case storehouse, wherein, described step a) in type of service also comprise accumulated point exchanging, user integral inquiry and customer data amended record, described step a) in operation flow node comprise customs authority, numerical selection card selection, order processing, worksheet, charging process, open process and accounting processing.
The above-mentioned automated testing method based on use-case storehouse, wherein, also comprises and shows that new demand affects weights to all types of service in the mode of bar chart.
The above-mentioned automated testing method based on use-case storehouse, wherein, described steps d) choose and affect weights and be greater than the associated services of the first threshold values as test service.
The above-mentioned automated testing method based on use-case storehouse, wherein, described steps d) to choose and affect weights and be greater than the associated services of the second threshold values as all standing test service, described second threshold values is greater than described first threshold values.
The above-mentioned automated testing method based on use-case storehouse, wherein, described test case is divided into manual test use-case and automatic test cases, and described automatic test cases is triggered by automatic test script and performs, and described manual test use-case is derived by Excel document.
The present invention contrasts prior art following beneficial effect: the automated testing method based on use-case storehouse provided by the invention, all types of service are first tentatively sorted out by affiliated functional module, then the similarity of clustering algorithm to all types of service is adopted to classify, change according to analytical hierarchy process computation requirement again and weights are affected on associated services type, finally according to affecting weights size, the set of sequence screening formation test service is carried out to associated services, thus the consistance of test case screening granularity can be ensured, improve test case coverage rate and testing efficiency.In addition, the present invention changes the business of directly impact from the clear and definite demand of angle based on user, and by analyzing the dependence obtaining and exist between each business, whether the change of specifying business exists impact to other factors, the disturbance degree between each business is obtained by suitable algorithm, the disturbance degree of new demand to each business can be calculated intuitively, exactly, thus be convenient to the follow-up test case screening test assignment that also reasonable arrangement is follow-up, greatly strengthen the controllability of system variation.
Accompanying drawing explanation
Fig. 1 is the automated test frame schematic diagram that the present invention is based on use-case storehouse;
Fig. 2 is service impact degree analysis and Control schematic flow sheet of the present invention;
Fig. 3 is the system function module configuration diagram that the present invention uses;
Fig. 4 is the Euclidean distance coordinate diagram of the present invention's each business of adopting clustering algorithm to obtain and central point business;
Fig. 5 is the configuration diagram of the present invention according to analytical hierarchy process compute associations type of service disturbance degree;
Fig. 6 is the disturbance degree numerical value bar chart of all business that the present invention obtains;
Fig. 7 is the integration transformation business diagnosis schematic diagram that the present invention is directed to crm system.
Embodiment
Below in conjunction with drawings and Examples, the invention will be further described.
Fig. 1 is the automated test frame schematic diagram that the present invention is based on use-case storehouse; Fig. 2 is service impact degree analysis and Control schematic flow sheet of the present invention.
Refer to Fig. 1 and Fig. 2, the automated testing method based on use-case storehouse provided by the invention comprises the steps:
Step S1: all types of service first system comprised tentatively are sorted out by affiliated functional module, as shown in Figure 3; Each type of service at least comprises an operation flow node; Each operation flow node comprises affiliated functional module, interface parameter configuration and database table; Described type of service comprises the business of opening an account, transfer transaction, deciliter family business, fee payment service, accumulated point exchanging, user integral inquiry and customer data amended record, and described operation flow node comprises customs authority, numerical selection card selection, order processing, worksheet, charging process, opens process and accounting processing.
Step S2: then adopt clustering algorithm to all types of service, the similarity of the flow nodes comprised according to it is classified; Concrete steps are as follows:
Determine tentatively to sort out the functional module in rear each type of service and operation flow node, the quantitative relationship between interface parameter configuration with database table, if relevant, imparting value 1, otherwise imparting is worth 0;
Specify clusters number k, and all samples are divided into k class, k is positive integer, and the minimum value of k is 2, and maximal value is no more than sample number;
Select the type of service sample of the capable new demand impact of k as the central point of cluster, select Euclidean distance to calculate the distance of data sample point and central point as similarity measurement.
Step S3: determine that demand changes the type of service related to, changes according to analytical hierarchy process computation requirement and affects weights to associated services type; Concrete steps are as follows: take new demand as destination layer, to pass through the sorted type of service of clustering algorithm for rule layer Judgement Matricies, by obtaining judgment matrix eigenvalue of maximum and corresponding characteristic vector W thereof, after normalization, being each type of service affects weights for new demand.The mode of bar chart finally can be adopted intuitively to show, and new demand affects weights to all types of service.
Step S4: according to affecting weights size, the set of sequence screening formation test service being carried out to associated services, then extracting test case according to test service title from use-case storehouse and forming automatic test script.Such as choosing affects weights and is greater than the associated services of the first threshold values as test service; Choosing affects weights and is greater than the associated services of the second threshold values as all standing test service, and described second threshold values is greater than described first threshold values.Described test case is divided into manual test use-case and automatic test cases, and described automatic test cases is triggered by automatic test script and performs, and described manual test use-case is derived by Excel document.
In test activity, after change has been carried out to certain demand, the business had influence on is changed with regard to Water demand demand, after drawing a circle to approve the business be associated, the carrying out of the test function point to associated services is just needed to extract, function point is extracted from the system architecture of complexity, to obtain test main points, avoids test leakage.In NGBOSS system as shown in Figure 2, function is all combined by different functional modules, under functional module, be divided into type of service again, on this basis, segment further, just can obtain concrete business function point, so just can determine test function point; After obtaining the function point of segmentation, just can analyze associated all business, for place mat is carried out in the extraction of test case.
Due to the relevance between business, demand changes may affect other not by the business transformed, and by Impact analysis, obtains business associated therewith.Analytical test function point of the present invention, all business associated therewith are enumerated out, clustering algorithm and analytical hierarchy process is utilized to calculate the disturbance degree of each business to test function point, finally according to affecting weights size, the set of sequence screening formation test service is carried out to associated services, according to affecting weights size, which be easy to judge service needed all standing test, which business can be tested, so just can determine the covering granularity of test case, the requirement according to covering granularity is only needed to screen, just can obtain the collection of services needing Test coverage, such as: the first threshold values is set to 0.1, second threshold values is set to 0.5, can select disturbance degree higher than 0.5 business, coverage test is carried out to it, thus the consistance of test case screening granularity can be ensured, improve test case coverage rate and testing efficiency.
Below with system of real name demand for example, first set forth the correlating method of this disturbance degree, according to demand specification documents, this demand with the addition of system of real name information table and has increased customer information table whether system of real name field newly.Can recognize that this demand directly affects to open an account and customer data amended record business.For this example, use clustering algorithm and analytical hierarchy process are analyzed by the present invention.
One, all types of service are tentatively sorted out by affiliated functional module:
The present invention, according to the achievement of design documentation and system business combing, carries out classification and standardization to the flow nodes of the functional module of all business, business, business.Standardization refers to function point to business, flow nodes, storehouse table carry out combing, by equal modules Uniform Name unified standard, such as operation flow node unified standard can be turned to customs authority, numerical selection card selection, order processing, worksheet, charging process, opens process, accounting processing etc., which storehouse table is each flow nodes include is classified, function point module belonging to flow nodes is also classified, the same logic constituting business of this three-tier architecture.Aims of standardization are in order to analysis process node has a unified measurement, also for using clustering algorithm as the condition of classification.
In order to the change of demand be divided in the standardization flow process that defines, combing of the present invention realizes the kind that demand changes, and has following situation:
1) to the change that the transformation of system has storehouse to show, the increasing of such as storehouse table, delete, change, also have the field of storehouse table to change, also have the change etc. of enumerated value.
2) relate to system function module to change, comprise functional module and add, reduce process.
3) change of code decision logic is related to.
Above 3 kinds of demand change schemes can both be placed to ready-portioned standardization operation flow node.Such as:
1, requirements set business change needs first to carry out system of real name certification, add system of real name information table and carry out system of real name Data Enter, this just belongs to first kind situation, can judge to need to judge whether mission system to customer information before business change accepts, so be placed in the operation flow node of the customs authority of business module.
2, certain online packaged service changes center service into, and need be sent to one-level BOSS by CBOSS, Equations of The Second Kind situation that Here it is, with the addition of CBOSS module, so the program has just related to CBOSS functional module.
3, open an account business, need change certificate access times into 5 times by 6 times, need here code to be judged certificate access times are revised as 5 times, this just belongs to the 3rd class situation, and this demand just can be placed in the flow nodes of customs authority.
Two, clustering algorithm is adopted to classify to all types of service:
Cluster analysis is made up of some patterns, and normal mode is the vector of a tolerance, or a point in hyperspace.Cluster analysis, based on similarity, uses clustering algorithm, business similar as far as possible for service node can be carried out cluster.The result of each business association power drawn by clustering method is also for ensuing analytical hierarchy process provides the foundation of scale value numerical value.
By on operation flow node preliminary classification and after knowing which business is this demand directly affect, by the k-means in clustering algorithm, all business are calculated now, finally calculate the similar business of operation flow bunch group.
The first step: tectonic analysis model
First, according to design documentation, business and flow nodes relation are quantized, then imparting as relevant with flow nodes (Xn) in business is worth 1, as business and flow nodes onrelevant then imparting be worth 0, wherein A1-Ad can according to the demand of reality can flexibly according to system difference require arrange.The business such as the present invention will open an account, transfer ownership, integration inquiry are numbered X1, X2, X3 ... Xm, standardized operation flow node customs authority, numerical selection card selection, order processing etc. are numbered A1, A2, A3 ... Ad.And the relation of business and flow nodes is carried out assignment, have relation, assignment 1 if open an account with customs authority, assignment that it doesn't matter is 0, by that analogy, as shown in the table:
Second step: developing algorithm
(1) by calculating the similarity measurement of distance as data sample and central point
When calculating the distance of data sample point and central point, Euclidean distance is selected to be used as similarity measurement.The process of Euclidean distance is, supposes given data set X={X
m| m=1,2 ..., the sample in total}, X describes attribute A1 with d, A2 ... Ad represents.If xk is the central point of cluster, data sample Xi=(xi1, xi2 ... xid), cluster centre point be Xk=(xk1, xk2 ... xkd) wherein, xi1, xi2 ... xid is that corresponding d of sample xi describes attribute A1, A2 ... the concrete value of Ad.Sample point represents with the distance d (Xi, Xk) between them usually to the similarity of central point, and distance is less, sample X
iwith central point X
kmore similar, diversity factor is less; Distance is larger, sample X
ix
kmore dissimilar, diversity factor is larger.
Euclidean distance formula is as follows:
In this example, X1 and X4 is exactly the central point of cluster, X1=(1,1,1,1,1 ... 0), X4=(1,0,1,0,0 ..., 1), sample point X2=(1,0,1,0,1 ..., 1), so the Euclidean distance of X2 and central point X1 is
The distance of other sample points and central point by that analogy.
According to the situation that certain economizes current system, by system combing, current system relates at most 19 flow nodes, can judge that maximal value is
but maximal value
mean in two business have a business without all flow nodes of system, but such business can not be there is in system.And, by the relation between combing business out and business, at least need between business through 3 identical flow nodes.So the span setting out Euclidean distance is 0 to arrive
so span can be divided into five sections, the scale value value of each segment limit analytical hierarchy process provides foundation.
3rd step: algorithm uses step
1, specify clusters number k, all samples are divided into k class, k is positive integer, and the minimum value of k is 2, and maximal value is no more than sample number.
2, select the capable sample of k as the poly-heart of cluster by principle, they initially gather the heart using as all kinds of.
3, according to the principle of sample " distance from the initial poly-heart is minimum for first gathering ", itself and observed reading being condensed to the poly-heart, obtaining subclass like this.
Inside the case of this system of real name demand, know that this demand directly affects 2 business, to open an account and customer data amended record, therefore using these two business as central point.The algorithm built by second step calculates the Euclidean distance of business, and in order to embody their distance value more significantly, the distance of each business and central point is illustrated on two-dimensional coordinate by the present invention, draws Liang Ge business group, as shown in Figure 2.The central point that figure mid point D1 and some D2 are cluster represents respectively opens an account and customer data amended record business, and in figure, other points and the distance of central point are exactly their Euclidean distance.Business outside frame line is due to comparatively far away with central point, so contact weak with central point, Participation degree analytic approach does not use.Each point just represents the similarity power of each business and center service to the distance at center, and the scale value for step analysis algorithm provides preliminary foundation.According to the actual conditions of system, the range of condition of cluster is set, as
have similar,
for dissmilarity, what iris out in frame line is exactly
2 same clans of following distance, as shown in Figure 4.
Three, according to the disturbance degree of analytical hierarchy process compute associations type of service
Analytical hierarchy process is that the element always relevant with decision-making is resolved into the levels such as target, criterion, scheme, the decision-making technique of qualitative and quantitative analysis is carried out on this basis, analytical hierarchy process compares and is suitable for having layering and interlocks the goal systems of evaluation index, and desired value is difficult to again the decision problem of quantitative description.Its usage is Judgement Matricies, obtains its eigenvalue of maximum.And corresponding characteristic vector W, after normalization, being a certain level index affects weights for last layer time certain index of correlation.
For the feature of analytical hierarchy process, in conjunction with the NGBOSS system of China Mobile, reasonably element relevant for system is divided into target, criterion, solution layer, the change of using analytical hierarchy process can obtain demand affects situation to other business, by the disturbance degree of computing service, thus implementation platform is shown, client can obtain the relevant information of service impact degree clearly from graphical interfaces.Use analytical hierarchy process to analyze current system and need three conditions, the demand changed, the functional module of system and the embodiment of demand, the feature of binding hierarchy analytic approach, above condition is divided in destination layer, rule layer and the solution layer in analytical hierarchy process by the present invention.
The first step: layering
In analytical hierarchy process, objective definition layer is the demand changed, rule layer is functional module and the business of system, solution layer is the specific implementation method of demand, and in this example, destination layer is system of real name demand, rule layer comprises two-layer, be respectively the functional module (do business, open, charging etc.) of system and business (open an account, transfer ownership, deciliter family etc.), solution layer is that real name tabulation is added and client's literary name section is added, the chromatography relation clearly can analyzed according to the exhibition method of level, specifically as shown in Figure 5.
Second step: the relation between level and scale value
1, above-mentioned clustering algorithm draws two class business groups, obtain the business group that the business that changes with demand is similar, the similarity of the business that the demand that specifies changes and other business of system, their Euclidean distance is less, illustrate between two business more similar, this be analytical hierarchy process scale arrange provide preliminary foundation.
2, scale value: introduce 5 definition according to algorithm and to represent between them that contact is strong and weak, be respectively: same contact, contact a little, comparatively strong tie, strong connection, definitely contact, finally draw 5 numerical value, be set to 5 scales, as shown in the table:
The present invention is by 5 span one_to_one corresponding of 5 scale values and clustering algorithm, and such as, the distance of clustering algorithm is
then their pass is definitely be related, and so scale value is set to 5; Distance is
then scale value is set to 4, by that analogy, defines 5 scale values.I, j are integer, and i and j represents various level respectively and contacts, and as b1 and C1 has stronger relation, can be set to 5.
3rd step: development of judgment matrix
According to the definition of analytical hierarchy process, the judgment matrix between A and level b can be drawn, build matrix A-B, judge the degree of association of system of real name demand to each business, as shown in the table:
| A | b1 | b2 | b3 | b4 |
| b1 | 1 | 5 | 3 | 2 |
| b2 | 1/5 | 1 | 3 | 2 |
| b3 | 1/3 | 1/3 | 1 | 1/2 |
| b4 | 1/2 | 1/2 | 2 | 1 |
Build matrix b1-C, judge that two schemes realizing system of real name demand are on the impact of the business of opening an account, as shown in the table:
| b1 | C1 | C2 |
| C1 | 1 | 4/5 |
| C2 | 5/4 | 1 |
Build matrix b2-C, judge that two schemes realizing system of real name demand are on the impact of transfer transaction, as shown in the table:
| b2 | C1 | C2 |
| C1 | 1 | 5 |
| C2 | 1/5 | 1 |
Build matrix b3-C, judge that two schemes realizing system of real name demand are on a deciliter impact for family business, as shown in the table:
| b3 | C1 | C2 |
| C1 | 1 | 2 |
| C2 | 1/2 | 1 |
Build matrix b4-C, judge that two schemes realizing system of real name demand are on the impact of fee payment service, as shown in the table:
| b4 | C1 | C2 |
| C1 | 1 | 1/4 |
| C2 | 4 | 1 |
Use extraction of root, calculate the weighted value of each matrix.
1, the n th Root of the every row element product of judgment matrix A is calculated;
(i=1,2 ..., n), the matrix value of representing matrix A-B.
2, will
normalization, obtains;
w=(w
1, w
2..., w
n)
tfor the approximate value of the proper vector of A.3, the eigenvalue of maximum asking characteristic vector W corresponding:
In this example, with rule layer b and decision-making level C for example, show that decision-making level's real name tabulation adds the interpolation C2 of C1 and client's literary name section to the weight size of criterion layer service, the weight size of decision-making level to criterion layer service is as shown in the table:
| Level | C1 | C2 | The total weight order of level b |
| b1 | 1.062 | 0.198 | 1.26 |
| b2 | 0.793 | 0.148 | 0.941 |
| b3 | 0.249 | 0.759 | 1.008 |
| b4 | 0.104 | 0.148 | 0.252 |
As can be seen from the table, the disturbance degree size of this demand to business b is b1>b3>b2>b4.What last the present invention showed all business in the mode of bar chart affects weights, as shown in Figure 6.
The test service set that utilization obtains above, the all use-cases needing test of inquiry screening in automatic test dispatching platform, the screening of test case is that key word screens with Business Name, and all use-cases all can be split as automated execution part and manual execution part, in order to the application of subsequent step according to the mark of scripting automatically.The use-case of automatic test dispatching platform and script administrative template are shown as follows:
After script and use-case have screened, automatically will form manual test and automatic test cases and script, then trigger script as required and perform and the derivation of manual test use-case.After test script extracts, automatic test dispatching platform will create operation engineering automatically, all acquisition scripts is imported engineering, and triggers the execution of automatic test script, tester only needs to implement to analyze to script after script completes, and just can complete the work of automatic test part.The use-case of manual test part, dispatching platform can automatically according to the document of template generation Excel form, and tester only needs to derive document, just can carry out the execution of use-case manual test.For the business rolled off the production line or change, tester directly can login dispatching platform, according to the corresponding test case of service inquiry, and it is deleted or amendment, what dispatching platform automatically can upgrade use-case is altered to use-case storehouse, and when again testing, up-to-date use-case state can present by system.
Fig. 7 is the integration transformation business diagnosis schematic diagram that the present invention is directed to crm system.
Please continue see Fig. 7, account transformation demand is proposed in the change of crm system, after obtaining the real needs changed, the transformation function point of analysis demand, mainly comprises the integration store exchange under Point Management Module and user integral inquiry business, by the successively decomposition of business, just can obtain concrete test function point, for accumulated point exchanging business, by successively decomposing, the concrete business that has influence on or function point just can be obtained.The demand center of billing and accounting system transformation, is mainly distributed in Point Management Module, about the business of integration will all can affect to some extent under this module, comprising business have: accumulated point exchanging, integration are inquired about, integration turns the business such as increasing, integration rollback.
Analysis demand, around accumulated point exchanging business, obtains all business related with accumulated point exchanging business, obtains total associated services set.After obtaining total associated services set, just can the disturbance degree of compute associations business, associated services disturbance degree is calculated by clustering algorithm and analytical hierarchy process, then choosing certain influence value is benchmark, screening disturbance degree is greater than all associated services of this value, thus carries out follow-up test case extraction.Utilize aforementioned algorithm to calculate acquisition and transform core business as with integration, the disturbance degree of all business associated therewith, as follows:
| Associated services | Integration is inquired about | Integration is cleared up | The batch of reward points imports | Integration adjusts | Integration turns increasing |
| Disturbance degree | 0.6 | 0.7 | 0.4 | 1.2 | 0.5 |
Disturbance degree score value in table is larger, shows that the correlation degree of it and target service is larger, also larger on the impact of target service.By the analysis result of above business association disturbance degree, choose all business being greater than certain disturbance degree and include associated services test in, all associated services that such as disturbance degree is greater than 0.5, after disturbance degree screening associated services, just can obtain all associated services needing test, using platform, is that the related service use-case that key word Automatic sieve is selected is as follows with Business Name:
After test case screens, test case to be automatically divided into according to " whether scripting " mark and to perform part and automated execution part by hand by platform.Automated execution part, platform can create use-case performance of work automatically, then triggers test assignment and performs; Perform part by hand, platform can form the document of Excel form automatically, derives, instruct manual test to perform for tester.Such as adopt VoluntarilyTesting file: what deposit is automatic test case script; HandWork file: what deposit is the manual test case performed.When certain business change or after rolling off the production line, directly can be searched all test cases of getting under this business by platform, then modify at platform or delete, the operation of platform can be synchronized to test case library automatically, thus realizes the dynamic management to use-case storehouse.
Automated testing method based on use-case storehouse provided by the invention, after case has been screened, is separated into manual execution partly and automated execution part automatically according to zone bit; Automatic dispatching platform script performance of work and script be automatically imported function; And test case life cycle management can be realized.Concrete advantage is as follows: 1), use-case screening granularity unification.The granularity of use-case screening is a kind of form of expression of testing standard, and unified granularity ensure that the standardization of test execution dynamics, can ensure the validity of software test to a certain extent.2), test coverage improves.After associated services Impact analysis, substantially can cover all business needing test, so just directly can improve test coverage, avoid occurring test leakage.3), accurate testing degree improves.Associated services is analyzed, and can reject the business that it doesn't matter, thus avoid surveying partial function more, improve the precision of test.4), case maintenance is convenient.The maintenance of use-case is carried out according to business, does not need to safeguard all use-cases, and maintenance process is simple, safeguards minority part after only needing screening, and the life cycle management of use-case is convenient.
Although the present invention discloses as above with preferred embodiment; so itself and be not used to limit the present invention, any those skilled in the art, without departing from the spirit and scope of the present invention; when doing a little amendment and perfect, therefore protection scope of the present invention is when being as the criterion of defining with claims.
Claims (10)
1. based on the automated testing method in use-case storehouse, it is characterized in that, comprise the steps:
A) all types of service first system comprised tentatively are sorted out by affiliated functional module, and each type of service at least comprises an operation flow node;
B) then adopt clustering algorithm to all types of service, the similarity of the flow nodes comprised according to it is classified;
C) determine that demand changes the type of service related to, changing according to analytical hierarchy process computation requirement affects weights to associated services type;
D) according to affecting weights size, the set of sequence screening formation test service being carried out to associated services, then from use-case storehouse, extracting test case according to test service title and forming automatic test script.
2., as claimed in claim 1 based on the automated testing method in use-case storehouse, it is characterized in that, described step a) in each operation flow node comprise affiliated functional module, interface parameter configuration and database table.
3., as claimed in claim 2 based on the automated testing method in use-case storehouse, it is characterized in that, described step b) comprise the steps:
Determine tentatively to sort out the functional module in rear each type of service and operation flow node, the quantitative relationship between interface parameter configuration with database table, if relevant, imparting value 1, otherwise imparting is worth 0;
Specify clusters number k, and all samples are divided into k class, k is positive integer, and the minimum value of k is 2, and maximal value is no more than sample number;
Select the type of service sample of the capable new demand impact of k as the central point of cluster, select Euclidean distance to calculate the distance of data sample point and central point as similarity measurement.
4. as claimed in claim 2 based on the automated testing method in use-case storehouse, it is characterized in that, described step c) be destination layer with new demand, to pass through the sorted type of service of clustering algorithm for rule layer Judgement Matricies, by obtaining judgment matrix eigenvalue of maximum and corresponding characteristic vector W thereof, after normalization, being each type of service affects weights for new demand.
5. as claimed in claim 4 based on the automated testing method in use-case storehouse, it is characterized in that, described step a) in preliminary sort out after type of service comprise the business b1 that opens an account, transfer transaction b2, deciliter family business b3 and fee payment service b4, described new demand is system of real name demand A, described analytical hierarchy process adopts and changes database table as solution layer, and described change database table comprises the tabulation of real name table and adds C1 and client's literary name section interpolation C2;
According to described step b) the sorted type of service of middle employing clustering algorithm, determine that the type of service be associated with system of real name demand A comprises the business b1 that opens an account, transfer transaction b2, deciliter family business b3 and fee payment service b4;
Described step c) comprise following process:
I) first Judgement Matricies A-B judges the degree of association of system of real name demand A to the business b1 that opens an account, transfer transaction b2, deciliter family business b3 and fee payment service b4;
Ii) build matrix b1-C, two the scheme real name table tabulations judging to realize system of real name demand add C1 and client's literary name section interpolation C2 to the impact of the business b1 that opens an account;
Iii) build matrix b2-C, two the scheme real name table tabulations judging to realize system of real name demand add C1 and client's literary name section interpolation C2 to the impact of transfer transaction b2;
Iv) build matrix b3-C, two the scheme real name table tabulations judging to realize system of real name demand add C1 and client's literary name section interpolation C2 to a deciliter impact of family business b3;
V) build matrix b4-C, two the scheme real name table tabulations judging to realize system of real name demand add C1 and client's literary name section interpolation C2 to the impact of fee payment service b4;
Vi) use extraction of root to calculate the weighted value of each matrix, show that real name tabulation is added C1 and client's literary name section and added C2 and affect weights size to each type of service.
6. as claimed in claim 5 based on the automated testing method in use-case storehouse, it is characterized in that, described step a) in type of service also comprise accumulated point exchanging, user integral inquiry and customer data amended record, described step a) in operation flow node comprise customs authority, numerical selection card selection, order processing, worksheet, charging process, open process and accounting processing.
7. service impact degree control and analysis as claimed in claim 1, is characterized in that, also comprises and shows that new demand affects weights to all types of service in the mode of bar chart.
8., as claimed in claim 1 based on the automated testing method in use-case storehouse, it is characterized in that, described steps d) choose and affect weights and be greater than the associated services of the first threshold values as test service.
9., as claimed in claim 8 based on the automated testing method in use-case storehouse, it is characterized in that, described steps d) to choose and affect weights and be greater than the associated services of the second threshold values as all standing test service, described second threshold values is greater than described first threshold values.
10. the automated testing method based on use-case storehouse as described in any one of claim 1 ~ 9, it is characterized in that, described test case is divided into manual test use-case and automatic test cases, described automatic test cases is triggered by automatic test script and performs, and described manual test use-case is derived by Excel document.
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