CN111563039A - Workload estimation method and device - Google Patents
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Abstract
The method and the device for estimating the workload receive the test case, acquire preset keywords included in the test case and the total number of test steps in the test case; because the keywords at least comprise the test function items in the test cases, determining the workload of each keyword according to a preset relationship table between the keywords and the workload; the workload required by the test of each test function item can be determined, so that the workload of the test case obtained by calculation according to the workload of each keyword has higher accuracy.
Description
Technical Field
The present application relates to the field of software testing and testing, and in particular, to a method and an apparatus for estimating workload.
Background
The software product testing is an important means for guaranteeing the software quality, and in the software testing, the accurate estimation of the testing workload is convenient for a testing manager to more reasonably arrange the testing progress, allocate testing resources, evaluate the testing work efficiency and the like.
At present, the workload estimation of software testing is usually performed manually by means of personal experience for statistical analysis, but the manual statistical analysis can only obtain the workload in a qualitative category, for example, the workload belongs to different grades of high, medium and low, and a specific quantitative value of the workload cannot be obtained.
Therefore, how to accurately obtain the quantitative value of the test workload becomes an urgent problem to be solved.
Disclosure of Invention
The inventor finds that the test workload is related to the content of the test case, particularly to the key test item in the test case in the research process, and based on the characteristic, the application provides a workload estimation method and a workload estimation device, aiming at solving the problem of how to accurately obtain the quantitative value of the test workload by utilizing the correlation between the test workload and the content of the test case.
In order to achieve the above object, the present application provides the following technical solutions:
a method of workload estimation, comprising:
receiving a test case;
acquiring preset keywords included in the test case, wherein the keywords at least include test function items in the test case;
determining the workload of each keyword according to a preset relationship table of the keywords and the workload;
and calculating the workload of the test case according to the workload of each keyword.
Optionally, the obtaining of the preset keyword included in the test case includes:
determining a preset corresponding keyword database of the test case according to the test case type label of the test case;
and scanning the test case line by line, and determining that the scanned data is the keyword of the test case under the condition that the scanned data is the keyword included in the keyword database.
Optionally, in the method, the calculating the workload of the test case according to the workload of each keyword includes:
determining the workload weight corresponding to each keyword according to the workload of each keyword, and taking the product of the workload of each keyword and the workload weight as a calculation factor for calculating the workload of the test case;
and adding the addition sum of each calculation factor to obtain the workload of the test case.
Optionally, in the method, the workload of the keyword and the workload weight corresponding to the keyword are determined according to a test resource actually occupied by the test step of the keyword in a historical test case which is recorded in a history and has the same type as the test case.
The above method, optionally, further includes:
determining the total number of the test steps in the test case, wherein the total number of the test steps is determined according to the number of the test step identifications included in the test case;
and presetting the workload corresponding to the total number of the test steps, and adding the workload of the test case obtained by calculating according to the workload of each keyword to obtain the workload, wherein the workload is used as the target workload of the test case.
An apparatus for workload estimation, comprising:
the receiving unit is used for receiving the test case;
the obtaining unit is used for obtaining preset keywords included in the test case, and the keywords at least include test function items in the test case;
the determining unit is used for determining the workload of each keyword according to a preset relationship table between the keywords and the workload;
and the calculation unit is used for calculating the workload of the test case according to the workload of each keyword.
Optionally, in the apparatus above, the obtaining unit is configured to obtain a preset keyword included in the test case, and includes:
the obtaining unit is specifically configured to determine a keyword database corresponding to the test case preset according to the test case type tag of the test case;
and scanning the test case line by line, and determining that the scanned data is the keyword of the test case under the condition that the scanned data is the keyword included in the keyword database.
Optionally, in the apparatus above, the calculating unit is configured to calculate, according to the workload of each keyword, the workload of the test case, and includes:
the calculation unit is specifically configured to determine, for the workload of each keyword, a workload weight corresponding to the keyword, and use a product of the workload of the keyword and the workload weight as a calculation factor for calculating the workload of the test case;
and adding the addition sum of each calculation factor to obtain the workload of the test case.
An electronic device, comprising: a processor and a memory for storing a program; the processor is configured to execute the program to implement the method for workload estimation as described above.
A computer-readable storage medium having stored therein instructions which, when run on a computer, cause the computer to perform the above-described method of workload estimation.
The method and the device receive the test case, and acquire the preset keywords included in the test case and the total number of the test steps in the test case; because the keywords at least comprise the test function items in the test cases, determining the workload of each keyword according to a preset relationship table between the keywords and the workload; the workload required by the test of each test function item can be determined, so that the workload of the test case obtained by calculation according to the workload of each keyword has higher accuracy.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of a method of workload estimation as disclosed in an embodiment of the present application;
FIG. 2 is a flow chart of yet another method of workload estimation as disclosed in an embodiment of the present application;
FIG. 3 is a schematic diagram of an apparatus for workload estimation according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of an electronic device disclosed in an embodiment of the present application.
Detailed Description
The method provided by the embodiment of the application can be applied to a server for estimating the workload of the test case.
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Fig. 1 is a flowchart of a method for estimating workload according to an embodiment of the present application, which may include the following steps:
s101, receiving a test case.
In this embodiment, the received test case is compiled by a tester according to a preset test case template to obtain a test case. And for different types of test cases, the corresponding test case templates are different. The type of the test case can be determined according to the type of the test object of the test case. For example, if the type of the test object of the test case is the bank transaction type software, the type of the test case may be set as the bank transaction type. The test case template can specify the format of writing the test case, and specify the writing rule of the necessary test function item, and the like.
S102, acquiring preset keywords included in the test case.
The keywords are test function items in the test cases, and the test function items corresponding to different types of test cases are different. The specific implementation mode of the step comprises the steps A1-A2:
and A1, determining a preset corresponding keyword database of the test case according to the test case type label of the test case.
The test case type labels are marks used for representing the types of the test cases, the corresponding relation between the test case type labels and the keyword database is stored in the server in advance, and different test case type labels correspond to different keyword databases. The keyword database includes a plurality of test function items, for example, the test case type tag is a Bank transaction type tag, and the test function items included in the corresponding keyword database may be System names, such as ATM (Automatic Teller machine), PCPS (Payment Cloud Platform), and BOCTS (Bank of China Teller System), transaction data modes (for example, debit card, credit card, live-time-through, regular-time-through, internet banking signed account, and mobile banking signed account), transaction operating System names, and operation types.
Step A2, the test case is scanned line by line, and the scanned data is determined to be the keywords of the test case under the condition that the scanned data is the keywords included in the keyword database.
In this step, the scanned data is compared with keywords included in the keyword database, and in the case that the scanned data is a keyword included in the keyword database, the scanned data is determined to be a keyword of the test case.
S103, determining the workload of each keyword according to a preset relationship table between the keywords and the workload.
The specific implementation manner of the step is as follows: the method comprises the steps of obtaining a relation table of keywords and workloads corresponding to a keyword database, wherein the relation table of the keywords and the workloads is formulated by a test administrator and is stored in a server after setting an identifier (for example, a unique code of keyword data) of the corresponding keyword database, and the workloads corresponding to the same keyword can be different for different keyword databases.
And S104, calculating the workload of the test case according to the workload of each keyword.
The specific implementation manner of the step is as follows: and determining the workload weight corresponding to each keyword according to the workload of each keyword, taking the product of the workload of the keyword and the workload weight as a calculation factor for calculating the workload of the test case, and adding the sum of each calculation factor to obtain the workload of the test case.
In this embodiment, the workload of the keyword and the workload weight corresponding to the keyword are determined according to the test resources actually occupied by the test step of the keyword in the historical test case, which is in the same type as the historical test case, of the historical test case, where the actually occupied test resources include test time, the number of test personnel, test cost, and the like, and the more actually occupied test resources are, the higher the workload of the keyword is, and the greater the workload weight corresponding to the keyword is.
The method provided by the embodiment of the application receives the test case, and obtains the preset keywords included in the test case and the total number of the test steps in the test case; because the keywords at least comprise the test function items in the test cases, determining the workload of each keyword according to a preset relationship table between the keywords and the workload; the workload required by the test of each test function item can be determined, so that the workload of the test case obtained by calculation according to the workload of each keyword has higher accuracy.
Considering that the number of testing steps in the testing case is also related to the testing workload, the application further provides a workload estimation method. Fig. 2 is a flowchart of another method for estimating workload according to an embodiment of the present application, where in this embodiment, the steps related to the same as those in the foregoing embodiment may refer to the foregoing embodiment, which are not described herein again, and this embodiment may include the following steps:
s201, receiving a test case.
S202, acquiring preset keywords included in the test case and the total number of test steps in the test case.
The embodiment of obtaining the total number of test steps in the test case may be:
and determining the total number of the test step identifications included in the test case, and taking the total number of the test step identifications as the total number of the test steps in the test case. In this embodiment, each test step is preset with a test step identifier, so that the total number of test step identifiers can be used as the total number of test steps.
S203, determining the workload of each keyword according to a preset relationship table between the keywords and the workload.
And S204, determining the total number of the testing steps and presetting the corresponding workload.
The workload corresponding to the total number of the test steps is stored in the server in advance, and the workload corresponding to the total number of the test steps can be set by self in combination with the situation.
And S205, calculating to obtain the target workload of the test case according to the workload of each keyword and the workload preset corresponding to the total number of the test steps.
The specific implementation manner of the step is as follows: and presetting the corresponding workload for the total number of the test steps, and adding the workload of the test case obtained by calculation according to the workload of each keyword to obtain the target workload of the test case. The target workload of the test case further considers the problem of increased test workload brought by the condition that the total number of test steps in the test case is large, so the workload of the test case can be further accurately estimated.
The specific implementation of the workload of the test case obtained by calculation according to the workload of each keyword may refer to the above embodiments.
The method provided by the embodiment of the application receives the test case, and obtains the preset keywords included in the test case and the total number of the test steps in the test case; because the keywords at least comprise the test function items in the test cases, determining the workload of each keyword according to a preset relationship table between the keywords and the workload; the workload required by the test of each test function item can be determined, and further, the workload corresponding to the total number of the test steps included in the test case and the workload corresponding to the keyword are used as the target workload for testing, so that the calculated workload of the test case has higher accuracy.
In the method provided by this embodiment, the inventor finds, in the course of research, that the test workload is related to the content of the test case, and particularly related to the key test item in the test case, so based on this objective rule, a key database corresponding to the test case of the same type is created in advance, and the workload corresponding to each test function item (key word) and the workload weight corresponding to the test function item are set in advance according to the actually occupied test resources of the test function items recorded in history, for example, the test duration. That is to say, in this embodiment, the keyword database created in advance, the workload corresponding to the keyword, and the workload weight corresponding to the keyword are rules preset based on an objective rule that the test workload is related to the content of the test case, and particularly related to the key test item in the test case.
Referring to fig. 3, a schematic structural diagram of an apparatus 300 for workload estimation provided in an embodiment of the present application is shown, including:
a receiving unit 301, configured to receive a test case;
an obtaining unit 302, configured to obtain preset keywords included in a test case, where the keywords at least include test function items in the test case;
a determining unit 303, configured to determine a workload of each keyword according to a preset relationship table between the keyword and the workload;
and the calculating unit 304 is configured to calculate the workload of the test case according to the workload of each keyword.
Optionally, a specific implementation manner of the obtaining unit 302 obtaining the preset keyword included in the test case is as follows: determining a preset corresponding keyword database of the test case according to the test case type label of the test case; and scanning the test case line by line, and determining the scanned data as the keywords of the test case under the condition that the scanned data is the keywords included in the keyword database.
Optionally, the calculating unit 304 calculates the specific implementation manner of obtaining the workload of the test case according to the workload of each keyword, determines the workload weight corresponding to the keyword for the workload of each keyword, and uses the product of the workload of the keyword and the workload weight as a calculation factor for calculating the workload of the test case;
and adding the sum of each calculation factor to obtain the workload of the test case.
Optionally, the calculating unit 304 is further configured to determine a total number of test steps in the test case, where the total number of test steps is determined according to the number of test step identifiers included in the test case; and presetting the corresponding workload for the total number of the test steps, and adding the workload of the test case obtained by calculation according to the workload of each keyword to obtain the workload which is used as the target workload of the test case.
Optionally, the workload of the keyword and the workload weight corresponding to the keyword are determined according to the test resources actually occupied by the test steps of the keyword included in the historical test cases, which are in the same type as the test cases, of the historical record.
The device provided by the embodiment of the application receives the test case, and obtains the preset keywords contained in the test case and the total number of the test steps in the test case; because the keywords at least comprise the test function items in the test cases, determining the workload of each keyword according to a preset relationship table between the keywords and the workload; the workload required by the test of each test function item can be determined, so that the workload of the test case obtained by calculation according to the workload of each keyword has higher accuracy.
Fig. 4 is a schematic structural diagram of an electronic device 400 according to an embodiment of the present application, including: a processor 401 and a memory 402, the memory 402 being adapted to store an application program, the processor 401 being adapted to execute the application program to implement the method of workload estimation as described above.
A computer-readable storage medium is provided in an embodiment of the present application, and has instructions stored therein, which when run on a computer, cause the computer to perform a method for estimating a workload.
The functions described in the method of the embodiment of the present application, if implemented in the form of software functional units and sold or used as independent products, may be stored in a storage medium readable by a computing device. Based on such understanding, part of the contribution to the prior art of the embodiments of the present application or part of the technical solution may be embodied in the form of a software product stored in a storage medium and including several instructions for causing a computing device (which may be a personal computer, a server, a mobile computing device or a network device) to execute all or part of the steps of the method described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same or similar parts among the embodiments are referred to each other.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A method of workload estimation, comprising:
receiving a test case;
acquiring preset keywords included in the test case, wherein the keywords at least include test function items in the test case;
determining the workload of each keyword according to a preset relationship table of the keywords and the workload;
and calculating the workload of the test case according to the workload of each keyword.
2. The method according to claim 1, wherein the obtaining of the preset keyword included in the test case comprises:
determining a preset corresponding keyword database of the test case according to the test case type label of the test case;
and scanning the test case line by line, and determining that the scanned data is the keyword of the test case under the condition that the scanned data is the keyword included in the keyword database.
3. The method according to claim 1, wherein the calculating the workload of the test case according to the workload of each keyword comprises:
determining the workload weight corresponding to each keyword according to the workload of each keyword, and taking the product of the workload of each keyword and the workload weight as a calculation factor for calculating the workload of the test case;
and adding the addition sum of each calculation factor to obtain the workload of the test case.
4. The method according to claim 3, wherein the workload of the keyword and the workload weight corresponding to the keyword are determined according to test resources actually occupied by the test step of the keyword in historical test cases of the same type as the test cases in the historical record.
5. The method of claim 1, further comprising:
determining the total number of the test steps in the test case, wherein the total number of the test steps is determined according to the number of the test step identifications included in the test case;
and presetting the workload corresponding to the total number of the test steps, and adding the workload of the test case obtained by calculating according to the workload of each keyword to obtain the workload, wherein the workload is used as the target workload of the test case.
6. An apparatus for workload estimation, comprising:
the receiving unit is used for receiving the test case;
the obtaining unit is used for obtaining preset keywords included in the test case, and the keywords at least include test function items in the test case;
the determining unit is used for determining the workload of each keyword according to a preset relationship table between the keywords and the workload;
and the calculation unit is used for calculating the workload of the test case according to the workload of each keyword.
7. The apparatus according to claim 6, wherein the obtaining unit is configured to obtain a preset keyword included in the test case, and includes:
the obtaining unit is specifically configured to determine a keyword database corresponding to the test case preset according to the test case type tag of the test case;
and scanning the test case line by line, and determining that the scanned data is the keyword of the test case under the condition that the scanned data is the keyword included in the keyword database.
8. The apparatus according to claim 6, wherein the computing unit is configured to compute the workload of the test case according to the workload of each keyword, and includes:
the calculation unit is specifically configured to determine, for the workload of each keyword, a workload weight corresponding to the keyword, and use a product of the workload of the keyword and the workload weight as a calculation factor for calculating the workload of the test case;
and adding the addition sum of each calculation factor to obtain the workload of the test case.
9. An electronic device, comprising: a processor and a memory for storing a program; the processor is configured to run the program to implement the method of workload estimation according to any one of claims 1 to 5.
10. A computer-readable storage medium having stored therein instructions which, when executed on a computer, cause the computer to perform the method of workload estimation according to any one of claims 1 to 5.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112070247A (en) * | 2020-09-01 | 2020-12-11 | 上海钧正网络科技有限公司 | Management method, device, medium and electronic equipment of operation and maintenance grid |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120254826A1 (en) * | 2011-03-31 | 2012-10-04 | Infosys Technologies Ltd. | Estimation of web accessibility assessment and remediation efforts |
| CN103279831A (en) * | 2013-06-27 | 2013-09-04 | 李岩 | Method for achieving management system for evaluating software test quality and development capacity |
| CN105302723A (en) * | 2015-11-06 | 2016-02-03 | 北京京东尚科信息技术有限公司 | Test case evaluation method and apparatus |
| CN106485409A (en) * | 2016-09-30 | 2017-03-08 | 上海斐讯数据通信技术有限公司 | A kind of workload apparatus for evaluating and method |
| CN108845933A (en) * | 2018-05-24 | 2018-11-20 | 广东睿江云计算股份有限公司 | The method and device that software test case is write and evaluated |
-
2020
- 2020-04-30 CN CN202010361335.1A patent/CN111563039B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120254826A1 (en) * | 2011-03-31 | 2012-10-04 | Infosys Technologies Ltd. | Estimation of web accessibility assessment and remediation efforts |
| CN103279831A (en) * | 2013-06-27 | 2013-09-04 | 李岩 | Method for achieving management system for evaluating software test quality and development capacity |
| CN105302723A (en) * | 2015-11-06 | 2016-02-03 | 北京京东尚科信息技术有限公司 | Test case evaluation method and apparatus |
| CN106485409A (en) * | 2016-09-30 | 2017-03-08 | 上海斐讯数据通信技术有限公司 | A kind of workload apparatus for evaluating and method |
| CN108845933A (en) * | 2018-05-24 | 2018-11-20 | 广东睿江云计算股份有限公司 | The method and device that software test case is write and evaluated |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112070247A (en) * | 2020-09-01 | 2020-12-11 | 上海钧正网络科技有限公司 | Management method, device, medium and electronic equipment of operation and maintenance grid |
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