CN108446231A - A kind of testing protocol consistency use-case priority ordering method based on risk analysis - Google Patents
A kind of testing protocol consistency use-case priority ordering method based on risk analysis Download PDFInfo
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- CN108446231A CN108446231A CN201810224489.9A CN201810224489A CN108446231A CN 108446231 A CN108446231 A CN 108446231A CN 201810224489 A CN201810224489 A CN 201810224489A CN 108446231 A CN108446231 A CN 108446231A
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/36—Preventing errors by testing or debugging software
- G06F11/3668—Software testing
- G06F11/3672—Test management
- G06F11/3676—Test management for coverage analysis
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/36—Preventing errors by testing or debugging software
- G06F11/3668—Software testing
- G06F11/3672—Test management
- G06F11/3684—Test management for test design, e.g. generating new test cases
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/36—Preventing errors by testing or debugging software
- G06F11/3668—Software testing
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Abstract
The testing protocol consistency use-case priority ordering method based on risk analysis that the present invention relates to a kind of, belongs to unification of communication protocol testing field.This method includes:S1:Failure risk analysis model is established, test case importance TITC is calculatedz;S2:Original execution sequence T is generated according to test case importanceseq, and execute test;S3:After detecting failure, update remainder is not carried out the priorentropy H of use-caseTi(S);S4:It selects the use-case of priori entropy minimum as next use-case to be executed, and updates test case and execute sequence Tseq.The present invention improves the demand coverage rate and failure error detection rate of the rate that test failure is detected in each regression process and protocol conformance regression test.
Description
Technical field
The invention belongs to communication protocol software uniformity test technical fields, are related to a kind of agreement one based on risk analysis
Cause property test case prioritization method.
Background technology
During protocol conformance, as system under test (SUT) defect is repaired, need through regression test, to ensure to change
Part does not impact other unmodified parts, or without introducing new failure.In continuous modification and perfect process
In, in the case of limited resources, re-executes all test cases and expend time, manpower, fund.It needs from test case
Valuable test case is selected in library preferentially to execute, and to improve failure error detection rate, is provided to tester and administrative staff early
The feedback of phase, to start to debug earlier.Test case prioritization technology is according to given target, the survey different to contribution degree
Example on probation carries out priority ranking according to significance level, can improve the demand covering rate and failure error detection speed of regression test
Rate.
The goal in research of existing test case prioritization technology is defined as:Given all of test use cases T, T can
Energy ordered set PT, and sequence object function f, the purpose of test case prioritization is to find out T' ∈ PT so as to arbitrary
T' ∈ PT and T' ≠ T " have f (T') >=f (T ") to set up.
How the research contents of test case prioritization mainly according to specific maxim of relation determines test case
Significance level.In actual protocol conformance regression test, testing requirement has different significance levels, and testing requirement
Between there are dependences, certain use-cases must comply with standard and could execute in other testing requirements.Existing agreement
In consistency regression test, test case prioritization method determines that test case is preferential generally according to demand coverage information
Grade, often ignores the dependence between testing requirement and failure.Therefore, the significance level of different testing requirements how is determined,
How to determine that test case execution sequence becomes protocol conformance to reach faster testing requirement coverage rate and failure error detection rate
The problem of test.
Invention content
In view of this, the purpose of the present invention is to provide a kind of, the testing protocol consistency use-case based on risk analysis is preferential
Sort method calculates test case importance to carry out priority ranking to test case, whenever being detected in implementation procedure
When failure, the execution sequence that test cases is not carried out to remainder is adjusted into Mobile state, and selection is more easily detected the test of failure
Use-case is as next use-case to be executed.The rate for detecting test failure in each regression process is improved, agreement one is improved
The demand coverage rate and failure error detection rate of cause property regression test.During protocol conformance regression test and malfunction test,
Test failure is found as early as possible with more inexpensive.
In order to achieve the above objectives, the present invention provides the following technical solutions:
A kind of testing protocol consistency use-case priority ordering method based on risk analysis, specifically includes following steps:
S1:Failure risk analysis model is established, test case importance TITC is calculatedz;
S2:Original execution sequence T is generated according to test case importanceseq, and execute test;
S3:After detecting failure, update remainder is not carried out the priorentropy H of use-caseTi(S);
S4:It selects the use-case of priori entropy minimum as next use-case to be executed, and updates test case and execute sequence
Arrange Tseq。
Further, in the step S1, the calculating test case importance TITC specifically includes following steps:
S101:Determine the factor of the Risk rated ratio of influence demand, demand, Dependent Demand predominantly in test record unsuccessfully
Depth and the test case quantity for covering this demand;
S102:According to PICS/PIXIT tables acquisition of information whole test case to the coverage condition of testing requirement, according to survey
The testing requirement that family on probation proposes, establishes testing requirement collection R and test cases collection T:
R={ R1,R2…,Rx,…,Rm, T={ T1,T2…,Tz,…,Tl}
Wherein, binary message set covering theory Rx=[r (x, z)]1×l∈{0,1}1×l, represent the test of testing requirement covering
Case entity, m represent testing requirement integrated test demand number, and l represents test cases integrated test number, and x value ranges are 1
~m, z value range are 1~l, and r (x, z)=1 indicates that demand x is related to test cases z, otherwise r (x, z)=0;
S103:Historical testing information, the demand RF of labeled test failure are called from test record result;If demand is tested
State is failure in record, and RF values are 10, are otherwise 0;
S104:Statistics covers the test case amount R S of each testing requirement;
S105:According to dependence between testing requirement, the dependence depth RD of each demand is calculated;
S106:The Risk rated ratio RW of calculating demand(Rx)=WRF*RFx+WRS*RSx+WRD*RDx, WRF、WRS、WRDIt respectively represents
The weight of influence factor RF, RS, RD, ranging from 0~5, value is adjusted according to actual conditions;RFx、RSx、RDxIt respectively represents
Demand RxInfluence class value in influence factor, S104 and step S105 are obtained through the above steps;
S107:Historical testing information is called from test record result, establishes test failure collection F:
F={ F1,F2,…,Fy,…,Fn}
Wherein, n represents test failure number, and y value ranges are 1~n;
S108:The information set covering theory C of demand and failure is established, size is m × n, wherein CxyDemand R is represented for 1xAnd therefore
Hinder FyIt is relevant, otherwise CxyValue is 0;Calculate failure FyRisk exposure value, calculation is as follows:
S109:The risk exposure weights of calculating demandWhereinSVy
For failure FySeverity values, according to failure to the influence degree of system under test (SUT), value range is 1~4;
S120:The testing requirement selected according to user establishes the information set covering theory D of testing requirement and test case, greatly
Small is m × l;DxzTest case T is indicated for 1zIt can be with meet demand Rx, otherwise DxzValue is 0;Calculate test case importance value:
Further, in the step S105, the dependence depth of each demand of calculating specifically includes following steps:
1) according to protocol development document, the directed acyclic graph DAG of function dependence between representing testing requirement is established:G=
(V, E), V represent testing requirement set, and E represents the oriented line set of function dependence between testing requirement;If testing requirement
RqExecution depend on testing requirement Rp, then directed edge is from representing testing requirement RpNode direction represent testing requirement RqSection
Point;
2) boolean adjacency matrix M is established according to DAG, size is m × m, if Mpq=1 indicates demand RpDependent on demand Rq,
If 0, demand R is indicatedpWith demand RqBetween there is no directly relying on relationship;Wherein p represents line number, and q represents columns, and p and q take
It is worth ranging from 1~m;
3) to being compared with M [p, q] after each single item progress M [p, k]+M [k, p] operation in matrix M, show that maximum value is assigned
Give M [p, q];Wherein k represents intermediate node, and value range is 1~m;
4) finally show that the maximum value of matrix pth row represents demand RpDependence depth.
Further, in the step S2, the original execution sequence TseqIt is arranged according to test case importance value descending
Row.
Further, in the step S3, update remainder is not carried out the priorentropy H of use-caseTi(S), following steps are specifically included:
1) according to original execution sequence TseqImplementation of test cases when detecting failure, counts { t1,…,ti-1It is executed
Use-case, tiFor test crash use-case.Remaining non-test case sequence is { ti+1,…,ti+a,…,tl}。
Assuming that test cases ti+1Test passes through, demand SjDubious value measurement representation beAssuming that
Test cases ti+aTest crash, then demand SjDubious value measurement representation beDemand SjDubious value
Metric calculation mode is as follows:
Wherein, fail (sj) and pass (sj) indicate and demand sjWith the use-case test crash of covering mappings relationship and survey
Try successful number;Totalpass indicates that the test case sum that test passes through, totalfail indicate the test of test crash
Use-case sum.
2) each demand is calculated separately in test case ti+1There are the conditional probabilities of failure after execution
α indicates test case ti+1The prior probability of failure,TFiExpression has been held
Row test use cases { t1,…,tiIn test crash use number of cases, TPiIndicate the number that test passes through.
3) it calculates and is not carried out test case ti+1Priorentropy
4) according to above step 1) to step 3), the remaining priorentropy for being not carried out test case is calculated separately, priori is selected
The test case of entropy minimum is as next use-case to be executed in cycle tests.
The beneficial effects of the present invention are:The present invention improve detected in each regression process test failure rate and
The demand coverage rate and failure error detection rate of protocol conformance regression test.
Description of the drawings
In order to keep the purpose of the present invention, technical solution and advantageous effect clearer, the present invention provides following attached drawing and carries out
Explanation:
Fig. 1 is the general frame figure of the method for the invention;
Fig. 2 is initial test case sequence product process figure of the present invention;
Fig. 3 is the execution sequence dynamic adjustment flow of the present invention for being not carried out test case.
Specific implementation mode
Below in conjunction with attached drawing, the preferred embodiment of the present invention is described in detail.
A kind of testing protocol consistency use-case priority ordering method this method based on risk analysis, is divided into two stages:
First stage is to generate initial test case to execute sequence.According to the consensus standard specification surveyed, the work(between testing requirement is established
Energy dependence, the demand to fail in Dependent Demand depth, test record and the test case quantity for covering this demand are made
To influence the factor of Requirements Risks weight, failure risk analysis model is established.Then, according between testing requirement and test failure
Covering mappings relationship, obtain the risk exposure value of testing requirement.The foundation calculated using risk exposure value summation as importance,
It generates initial test case and executes sequence.Second stage is to be not carried out the execution sequence dynamic adjustment of test case.It was executing
When detecting failure in journey, the covering mappings relationship according to the test result of executed use-case, and between testing requirement is established
Fault location model based on information theory, dynamic adjustment are not carried out the execution sequence of test case, and error detection is quickly searched to reach
The purpose of the higher test case of rate.
As shown in Figure 1, the testing protocol consistency use-case priority ordering method of the present invention based on risk analysis, tool
Body includes the following steps:
Step 1:Establish test use cases, testing requirement collection, test failure collection;
1, test use cases are expressed as T:T={ T1,T2,…,Tz,…,Tl};
2, the testing requirement proposed according to test user, establishes testing requirement collection Req:R={ R1,R2…,Rx,…,Rm};
3, test failure collection F (F={ F are established1,F2,…,Fy,…,Fn});
Step 2:Determine test case and demand, mapping relations between testing requirement and failure;
1, the coverage condition of testing requirement is selected according to user according to PICS/PIXIT table acquisition of information whole test cases
The coverage condition of demand to be measured is marked in test case to fixed testing requirement, establishes testing requirement and test case
Information set covering theory D, size are m × l.DxzTest case T is indicated for 1zIt can be with meet demand Rx, otherwise DxzValue is 0;
2, the information set covering theory C of demand and failure is established, size is m × n, and wherein size is m × n, wherein CxyFor 1 generation
Table demand RxWith failure FyIt is relevant, otherwise CxyValue is 0, and wherein y value ranges are 1~n.
Step 3:Determine that initial test case executes sequence, as shown in Figure 2:
1, call historical testing information from test record result, according to user's grassroot project propose testing requirement, from
Historical testing information, the demand RF of labeled test failure are called in test record result.If state is to lose in demand test record
It loses, RF values are 10, are otherwise 0.Statistics covers the test case amount R S of each testing requirement.It is relied on according between testing requirement
Relationship calculates the dependence depth RD of each demand.
2, the dependence depth of testing requirement is calculated.It is as follows:
1) according to protocol development document, the directed acyclic graph (DAG) of function dependence between representing testing requirement, G are established
=(V, E).V represents testing requirement set, and E represents the oriented line set of function dependence between testing requirement.If demand Rq
Execution depend on testing requirement Rp, then directed edge is from representing testing requirement RpNode direction represent testing requirement RqNode.
2) boolean adjacency matrix D is established according to DAG, size is m × m.If Dpq=1 indicates demand RpDependent on demand Rq,
If 0, demand R is indicatedpWith demand RqBetween there is no directly relying on relationship.Wherein p represents line number, and q represents columns.P and q take
It is worth ranging from 1~m.
3) to being compared with M [p, q] after each single item progress M [p, k]+D [k, p] operation in matrix M, show that maximum value is assigned
Give M [p, q].Wherein k represents intermediate node, and value range is 1~m.
4) finally show that the maximum value of matrix pth row represents demand RpDependence depth.
3, demand R is calculatedxRisk rated ratioWRF、WRS、WRDPoint
It Dai Biao not represent the weight of influence factor RF, RS, RD, ranging from 0~5, value can be adjusted according to actual conditions.RFx、
RSx、RDxRespectively represent demand RxInfluence class value in influence factor.
4, failure F is calculatedyRisk exposure value:
5, demand R is calculatedxRisk exposure weights SVxFor
Failure FySeverity values, according to failure to the influence degree degree of system under test (SUT), value range is 1~4.
6, test case T is calculatedzImportance value
7, according to test case importance, output test case executes sequence.
Step 4:Dynamic adjustment test case executes sequence, as shown in Figure 3:
1, test case importance TITC is chosen successivelyzMaximum test case carries out implementation procedure.
2, when detecting test failure, { t is counted1,…,ti-1It is executed use-case, tiFor test crash use-case.It is remaining
Non- test case sequence is { ti+1,…,ti+a,…,tl}。
Assuming that test cases ti+1Test passes through, demand SjDubious value measurement representation beAssuming that
Test cases ti+aTest crash, then demand SjDubious value measurement representation beDemand SjDubious value
Metric calculation mode is as follows:
Wherein, fail (sj) and pass (sj) indicate and demand sjWith the use-case test crash of covering mappings relationship and survey
Try successful number.Totalpass indicates that the test case sum that test passes through, totalfail indicate the test of test crash
Use-case sum.
3, each demand is calculated separately in test case ti+1There are the conditional probabilities of failure after execution
α indicates test case ti+1The prior probability of failure,TFiExpression has been held
Row test use cases { t1,…,tiIn test crash use number of cases, TPiIndicate the number that test passes through.
4, it calculates and is not carried out test case ti+1Priorentropy
5, according to above step 2 to step 4, the remaining priorentropy for being not carried out test case is calculated separately, priorentropy is selected
Minimum test case is as next use-case to be executed in cycle tests.It is out of order if not detecting, continues to select currently to survey
The maximum test case of example importance on probation is executed, if detecting failure, updates the priorentropy of remaining test case.
6, all testing requirements are capped, and test terminates.
Finally illustrate, preferred embodiment above is merely illustrative of the technical solution of the present invention and unrestricted, although logical
It crosses above preferred embodiment the present invention is described in detail, however, those skilled in the art should understand that, can be
Various changes are made to it in form and in details, without departing from claims of the present invention limited range.
Claims (5)
1. a kind of testing protocol consistency use-case priority ordering method based on risk analysis, which is characterized in that this method is specific
Include the following steps:
S1:Failure risk analysis model is established, test case importance TITC is calculatedz;
S2:Original execution sequence T is generated according to test case importanceseq, and execute test;
S3:After detecting failure, update remainder is not carried out the priorentropy of use-case
S4:It selects the use-case of priori entropy minimum as next use-case to be executed, and updates test case and execute sequence
Tseq。
2. a kind of testing protocol consistency use-case priority ordering method based on risk analysis according to claim 1,
It is characterized in that, in the step S1, the calculating test case importance TITC specifically includes following steps:
S101:Determine the factor of the Risk rated ratio of influence demand, demand, the Dependent Demand depth to fail predominantly in test record
And cover the test case quantity of this demand;
S102:According to PICS/PIXIT tables acquisition of information whole test case to the coverage condition of testing requirement, used according to test
The testing requirement that family proposes, establishes testing requirement collection R and test cases collection T:
R={ R1,R2…,Rx,…,Rm, T={ T1,T2…,Tz,…,Tl}
Wherein, binary message set covering theory Rx=[r (x, z)]1×l∈{0,1}1×l, represent the test cases of testing requirement covering
Entity, m represent testing requirement integrated test demand number, and l represents test cases integrated test number, and x value ranges are 1~m,
Z value ranges are 1~l, and r (x, z)=1 indicates that demand x is related to test cases z, otherwise r (x, z)=0;
S103:Historical testing information, the demand RF of labeled test failure are called from test record result;If demand test record
Middle state is failure, and RF values are 10, are otherwise 0;
S104:Statistics covers the test case amount R S of each testing requirement;
S105:According to dependence between testing requirement, the dependence depth RD of each demand is calculated;
S106:The Risk rated ratio RW of calculating demand(Rx)=WRF*RFx+WRS*RSx+WRD*RDx, WRF、WRS、WRDRespectively represent influence because
The weight of plain RF, RS, RD, ranging from 0~5, value is adjusted according to actual conditions;RFx、RSx、RDxRespectively represent demand Rx
Influence class value in influence factor, S104 and step S105 are obtained through the above steps;
S107:Historical testing information is called from test record result, establishes test failure collection F:
F={ F1,F2,…,Fy,…,Fn}
Wherein, n represents test failure number, and y value ranges are 1~n;
S108:The information set covering theory C of demand and failure is established, size is m × n, wherein CxyDemand R is represented for 1xWith failure Fy
It is relevant, otherwise CxyValue is 0;Calculate failure FyRisk exposure value, calculation is as follows:
S109:The risk exposure weights of calculating demandWhereinSVy
For failure FySeverity values;
S120:The testing requirement selected according to user establishes information the set covering theory D, size m of testing requirement and test case
×l;DxzTest case T is indicated for 1zIt can be with meet demand Rx, otherwise DxzValue is 0;Calculate test case importance value:
3. a kind of testing protocol consistency use-case priority ordering method based on risk analysis according to claim 2,
It is characterized in that, in the step S105, the dependence depth of each demand of calculating specifically includes following steps:
1) according to protocol development document, the directed acyclic graph DAG of function dependence between representing testing requirement is established:G=(V,
E), V represents testing requirement set, and E represents the oriented line set of function dependence between testing requirement;If testing requirement Rq's
It executes and depends on testing requirement Rp, then directed edge is from representing testing requirement RpNode direction represent testing requirement RqNode;
2) boolean adjacency matrix M is established according to DAG, size is m × m, if Mpq=1 indicates demand RpDependent on demand Rq, if 0,
Expression demand RpWith demand RqBetween there is no directly relying on relationship;Wherein p represents line number, and q represents columns, p and q value ranges
For 1~m;
3) to being compared with M [p, q] after each single item progress M [p, k]+M [k, p] operation in matrix M, show that maximum value is assigned to M
[p,q];Wherein k represents intermediate node, and value range is 1~m;
4) finally show that the maximum value of matrix pth row represents demand RpDependence depth.
4. a kind of testing protocol consistency use-case priority ordering method based on risk analysis according to claim 1,
It is characterized in that, in the step S2, the original execution sequence TseqIt is arranged according to test case importance value descending.
5. a kind of testing protocol consistency use-case priority ordering method based on risk analysis according to claim 1,
It is characterized in that, in the step S3, update remainder is not carried out the priorentropy of use-caseSpecifically include following steps:
1) according to original execution sequence TseqImplementation of test cases when detecting failure, counts { t1,…,ti-1It is executed use-case,
tiFor test crash use-case;Remaining non-test case sequence is { ti+1,…,ti+a,…,tl};
Assuming that test cases ti+1Test passes through, demand SjDubious value measurement representation beAssuming that test
Case ti+aTest crash, then demand SjDubious value measurement representation beDemand SjSuspicious value metric meter
Calculation mode is as follows:
Wherein, fail (sj) and pass (sj) indicate and demand sjUse-case test crash with covering mappings relationship and test at
The number of work(, totalpass indicate that the test case sum that test passes through, totalfail indicate the test case of test crash
Sum;
2) each demand is calculated separately in test case ti+1There are the conditional probabilities of failure after execution
α indicates test case ti+1The prior probability of failure,TFiIndicate that executed is surveyed
Try set of uses case { t1,…,tiIn test crash use number of cases, TPiIndicate the number that test passes through;
3) it calculates and is not carried out test case ti+1Priorentropy
4) according to above step 1) to step 3), the remaining priorentropy for being not carried out test case is calculated separately, selects priorentropy most
Small test case is as next use-case to be executed in cycle tests.
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CN111427772A (en) * | 2020-03-05 | 2020-07-17 | 广东睿江云计算股份有限公司 | Multidimensional test case priority ordering method |
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