CN107833013B - Automatic statistical method and device for workload prediction accuracy of software development - Google Patents
Automatic statistical method and device for workload prediction accuracy of software development Download PDFInfo
- Publication number
- CN107833013B CN107833013B CN201711024108.4A CN201711024108A CN107833013B CN 107833013 B CN107833013 B CN 107833013B CN 201711024108 A CN201711024108 A CN 201711024108A CN 107833013 B CN107833013 B CN 107833013B
- Authority
- CN
- China
- Prior art keywords
- development
- task
- workload
- time
- working hours
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/20—Software design
Abstract
The invention discloses an automatic statistical method and device for the workload prediction accuracy of software development, wherein the method comprises the following steps: s1, according to the development completion date and time period and any developer, using a project and object tracking tool to inquire and obtain a task which accords with the conditions of the development completion date and time period and the developer; s2, extracting the workload estimation working hours, the state generation time of the development completion and the generation time of the development starting state of the task stored in the project and object tracking tool; s3, acquiring the actual development time of the task according to the state generation time of the completion of the development and the generation time of the development starting state; and S4, acquiring the workload estimation accuracy of the developer who inquires at this time to the task according to the workload estimation working hours and the working hours consumed by actual development. The invention can realize the automatic statistical analysis of the accuracy of the workload estimation of software development, reduce the time required to be spent, reduce the cost and avoid the human cost.
Description
Technical Field
The embodiment of the invention relates to the technical field of computer software development, in particular to an automatic statistical method and device for the workload prediction accuracy of software development.
Background
At present, the rapid development of the computer internet industry has higher and higher investment proportion of software development, and the statistical analysis of the accuracy of the workload estimation of the software development is more and more important.
At present, the statistical analysis of the accuracy of the workload estimation of software development basically depends on manual calculation and comparison, but the time spent is long, the timeliness is not high, the cost is high, and the labor cost is also occupied.
In view of this, how to solve the problems that the prior art needs to spend a long time, has low timeliness and high cost and also occupies human cost when performing statistical analysis on the workload estimation accuracy of software development becomes a technical problem to be solved at present.
Disclosure of Invention
Because the existing method has the problems, the embodiment of the invention provides an automatic statistical method and device for the workload prediction accuracy of software development, which can solve the problems that the prior art needs to spend longer time, is low in timeliness and high in cost and also occupies labor cost when carrying out statistical analysis on the workload prediction accuracy of software development.
In a first aspect, an embodiment of the present invention provides an automated statistical method for estimating accuracy of workload of software development, where an execution subject of the method is a computer, and the method includes:
s1, according to the development completion date and time period and any developer, using a project and object tracking tool to inquire and obtain a task which meets the conditions of the development completion date and time period and the developer;
s2, extracting the workload estimation working hours, the state generation time of the development completion and the generation time of the development starting state of the task stored in the project and object tracking tool;
s3, acquiring the actual development time of the task according to the state generation time of the development completion and the generation time of the development starting state;
and S4, acquiring the workload estimation accuracy of the developers who inquire this time on the task according to the workload estimation working hours of the task and the working hours consumed by actual development.
Optionally, the step S3 includes:
and subtracting the generation time of the development starting state from the state generation time of the development completion to obtain the actual development time of the task.
Optionally, the step S4 includes:
calculating to obtain the workload estimation accuracy A of the developers inquiring this time on the task through a first formula according to the workload estimation working hours and the working hours consumed by actual development;
the first formula is:
wherein, T1Time taken for the actual development of said task, T2For the taskThe estimated working hours.
Optionally, the item and thing tracking tool comprises: JIRA.
Optionally, the method further comprises:
and repeating the steps S1-S4 aiming at each developer to obtain the estimated accuracy of each developer on the workload of the task.
In a second aspect, an embodiment of the present invention further provides an automatic statistical apparatus for estimating accuracy of workload of software development, including:
the automatic statistical device of the accuracy of workload prediction of software development is applied to a computer, and is characterized by comprising the following components:
the query module is used for querying and obtaining tasks meeting the conditions of the development completion date and time period and any developer by utilizing a project and object tracking tool according to the development completion date and time period and the condition of the developer;
the extraction module is used for extracting the workload estimation working hours, the development completion state generation time and the development starting state generation time of the tasks stored in the project and object tracking tool;
the first acquisition module is used for acquiring the actual development time of the task according to the state generation time of the development completion and the generation time of the development starting state;
and the second acquisition module is used for acquiring the workload estimation accuracy of the inquired developers to the tasks according to the workload estimation working hours of the tasks and the working hours consumed by actual development.
Optionally, the second obtaining module is specifically configured to
Calculating to obtain the workload estimation accuracy A of the developers inquiring this time on the task through a first formula according to the workload estimation working hours and the working hours consumed by actual development;
the first formula is:
wherein, T1Time taken for the actual development of said task, T2And estimating working hours for the workload of the task.
Optionally, the apparatus further comprises:
and a third obtaining module, configured to repeat steps S1-S4 for each developer, and obtain the estimated accuracy of the workload of each developer on the task.
In a third aspect, an embodiment of the present invention further provides an electronic device, including: a processor, a memory, a bus, and a computer program stored on the memory and executable on the processor;
the processor and the memory complete mutual communication through the bus;
the processor, when executing the computer program, implements the method described above.
In a fourth aspect, an embodiment of the present invention provides a non-transitory computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the above method.
According to the technical scheme, the task which meets the conditions of the development completion date and time period and the developers is obtained by querying according to the development completion date and time period and any developer by using a project and object tracking tool; extracting the workload estimation working hours, the development completion state generation time and the development starting state generation time of the tasks stored in the project and object tracking tool; acquiring the actual development time of the task according to the state generation time of the development completion and the generation time of the development starting state; according to the workload estimation working hours and the working hours consumed by actual development of the tasks, the workload estimation accuracy of the task by the inquired developers is obtained, so that the problems that in the prior art, the time spent for carrying out statistical analysis on the workload estimation accuracy of software development is long, the timeliness is not high, the cost is high and the labor cost is still occupied can be solved, the automatic statistical analysis on the workload estimation accuracy of the software development is realized, the time spent is reduced, the cost is reduced, and the labor cost is avoided.
Drawings
In order to more clearly illustrate the embodiments of the present invention 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 invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a schematic flow chart illustrating an automated statistical method for estimating the accuracy of workload prediction in software development according to an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of an automated statistical apparatus for estimating the accuracy of workload prediction in software development according to an embodiment of the present invention;
fig. 3 is a logic block diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The following further describes embodiments of the present invention with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
Fig. 1 is a schematic flowchart illustrating an automated statistical method for estimating accuracy of workload of software development according to an embodiment of the present invention, where an execution subject of the method is a computer, and as shown in fig. 1, the automated statistical method for estimating accuracy of workload of software development according to the embodiment includes:
and S1, according to the development completion date and time period and any developer, querying to obtain tasks meeting the conditions of the development completion date and time period and the developer by using a project and object tracking tool.
In a particular application, the item and thing tracking tool may include: JIRA, etc., and other item and object tracking tools may be selected according to actual circumstances without being limited thereto in the present embodiment.
S2, extracting the workload estimation man-hour, the state generation time of the development completion and the generation time of the development start state of the task stored in the project and object tracking tool.
And S3, acquiring the actual development time of the task according to the state generation time of the development completion and the generation time of the development starting state.
In a specific application, the step S3 may obtain the actual time consumed for developing the task by subtracting the generation time of the development start state from the generation time of the state in which the development is completed.
And S4, acquiring the workload estimation accuracy of the developers who inquire this time on the task according to the workload estimation working hours of the task and the working hours consumed by actual development.
In a specific application, the step S4 may calculate, according to the estimated working hours of the workload and the working hours consumed by actual development, the estimated accuracy a of the workload of the developer of the query on the task through a first formula;
the first formula is:
wherein, T1Time taken for the actual development of said task, T2And estimating working hours for the workload of the task.
It is understood that the smaller the value of a obtained, the more accurate the workload prediction is, and the 100% accuracy is when a is 0.
According to the automatic statistical method for the workload estimation accuracy of software development, a task which meets the conditions of a development completion date and time period and a developer is inquired and obtained by using a project and object tracking tool according to the development completion date and time period and any developer; extracting the workload estimation working hours, the development completion state generation time and the development starting state generation time of the tasks stored in the project and object tracking tool; acquiring the actual development time of the task according to the state generation time of the development completion and the generation time of the development starting state; according to the workload estimation working hours and the working hours consumed by actual development of the task, acquiring the workload estimation accuracy of the inquired developer to the task, so that the problems of long time, low timeliness, high cost and manpower cost occupation when the workload estimation accuracy of software development is statistically analyzed in the prior art can be solved, the automatic statistical analysis of the workload estimation accuracy of software development is realized, the time required to be spent is reduced, the cost is reduced, and the manpower cost is avoided; by using the method of the embodiment, the estimation accuracy of the workload of the developer on the task can be automatically counted regularly (for example, one week).
Further, on the basis of the above method embodiment, the method of this embodiment may further include step S5 not shown in the figure:
and S5, repeating the steps S1-S4 for each developer, and acquiring the estimated accuracy of each developer on the workload of the task.
Therefore, the automatic statistical method for the workload estimation accuracy of software development can help a project manager to automatically calculate the workload estimation accuracy and statistical analysis data of all developers on the basis of automatically calculating the workload estimation accuracy of the developers to the tasks at regular intervals (such as one week), and can provide guidance help for subsequent iterative arrangement, reduce project risks and improve the software development work efficiency.
Fig. 2 is a schematic structural diagram of an automatic statistical apparatus for estimating accuracy of workload of software development according to an embodiment of the present invention, where the apparatus is applied to a computer, and as shown in fig. 2, the automatic statistical apparatus for estimating accuracy of workload of software development according to the embodiment includes: the query module 21, the extraction module 22, the first acquisition module 23 and the second acquisition module 24; wherein:
the query module 21 is configured to query, according to the development completion date and time period and any developer, a task that meets the conditions of the development completion date and time period and the developer by using a project and object tracking tool;
the extraction module 22 is configured to extract the workload estimation working hours, the development completion state generation time, and the development start state generation time of the tasks stored in the project and object tracking tool;
the first obtaining module 23 is configured to obtain the actual time consumed by the development of the task according to the state generation time of the development completion and the generation time of the development starting state;
the second obtaining module 24 is configured to obtain accuracy of workload estimation on the task by the developer of the query according to the estimated workload of the task and the actual development consumed workload.
Specifically, the query module 21 queries a task meeting the conditions of the development completion date and time period and any developer by using a project and object tracking tool according to the development completion date and time period and any developer; the extraction module 22 extracts the workload estimation working hours, the development completion state generation time and the development starting state generation time of the tasks stored in the project and object tracking tool; the first obtaining module 23 obtains the actual development time of the task according to the state generation time of the development completion and the generation time of the development starting state; the second obtaining module 24 obtains the accuracy of the workload estimation of the developer who inquires this time on the task according to the workload estimation time of the task and the time consumed by actual development.
In a particular application, the item and thing tracking tool may include: JIRA, etc., and other item and object tracking tools may be selected according to actual circumstances without being limited thereto in the present embodiment.
In a specific application, the first obtaining module 23 may be specifically used for
And subtracting the generation time of the development starting state from the state generation time of the development completion to obtain the actual development time of the task.
In a specific application, the second obtaining module 24 may be specifically used for
Calculating to obtain the workload estimation accuracy A of the developers inquiring this time on the task through a first formula according to the workload estimation working hours and the working hours consumed by actual development;
the first formula is:
wherein, T1Time taken for the actual development of said task, T2And estimating working hours for the workload of the task.
It is understood that the smaller the value of a obtained, the more accurate the workload prediction is, and the 100% accuracy is when a is 0.
The automatic statistical device for the workload estimation accuracy of software development can solve the problems of long time, low timeliness, high cost and manpower cost in the prior art when the statistical analysis is carried out on the workload estimation accuracy of software development, realizes the automatic statistical analysis on the workload estimation accuracy of software development, reduces the time required to be spent, reduces the cost and avoids the manpower cost; by using the device of the embodiment, the estimation accuracy of the workload of the developer on the task can be automatically counted at regular intervals (for example, one week and the like).
Further, on the basis of the above method embodiment, the apparatus of this embodiment further includes, not shown in the figure:
and a third obtaining module 25, configured to repeatedly execute the querying module 21 to the second obtaining module 24 for each developer, and obtain the estimated accuracy of the workload of each developer on the task.
Therefore, the automatic statistics device for the workload estimation accuracy of software development can help a project manager to automatically calculate the workload estimation accuracy and statistical analysis data of all developers on the basis of automatically and regularly calculating the workload estimation accuracy of the developers to the tasks at regular intervals (such as one week), and can provide guidance help for subsequent iterative arrangement, reduce project risks and improve the software development work efficiency.
The automatic statistical apparatus for workload estimation accuracy of software development in this embodiment may be used to implement the technical solution in the embodiment of the method shown in fig. 1, and its implementation principle and technical effect are similar, which are not described herein again.
Fig. 3 is a schematic entity structure diagram of an electronic device according to an embodiment of the present invention, and as shown in fig. 3, the electronic device may include: a processor 31, a memory 32, a bus 33, and computer programs stored on the memory 32 and executable on the processor 31;
the processor 31 and the memory 32 complete mutual communication through the bus 33;
when the processor 31 executes the computer program, the method provided by the foregoing method embodiments is implemented, for example, including: s1, according to the development completion date and time period and any developer, using a project and object tracking tool to inquire and obtain a task which meets the conditions of the development completion date and time period and the developer; s2, extracting the workload estimation working hours, the state generation time of the development completion and the generation time of the development starting state of the task stored in the project and object tracking tool; s3, acquiring the actual development time of the task according to the state generation time of the development completion and the generation time of the development starting state; and S4, acquiring the workload estimation accuracy of the developers who inquire this time on the task according to the workload estimation working hours of the task and the working hours consumed by actual development.
An embodiment of the present invention provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method provided by the foregoing method embodiments, and for example, the method includes: s1, according to the development completion date and time period and any developer, using a project and object tracking tool to inquire and obtain a task which meets the conditions of the development completion date and time period and the developer; s2, extracting the workload estimation working hours, the state generation time of the development completion and the generation time of the development starting state of the task stored in the project and object tracking tool; s3, acquiring the actual development time of the task according to the state generation time of the development completion and the generation time of the development starting state; and S4, acquiring the workload estimation accuracy of the developers who inquire this time on the task according to the workload estimation working hours of the task and the working hours consumed by actual development.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, apparatus, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus, and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means/systems for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element. The terms "upper", "lower", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience in describing the present invention and simplifying the description, but do not indicate or imply that the referred devices or elements must have a specific orientation, be constructed and operated in a specific orientation, and thus, should not be construed as limiting the present invention. Unless expressly stated or limited otherwise, the terms "mounted," "connected," and "connected" are intended to be inclusive and mean, for example, that they may be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
In the description of the present invention, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description. Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present invention is not limited to any single aspect, nor is it limited to any single embodiment, nor is it limited to any combination and/or permutation of these aspects and/or embodiments. Moreover, each aspect and/or embodiment of the present invention may be utilized alone or in combination with one or more other aspects and/or embodiments thereof.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the present invention, and they should be construed as being included in the following claims and description.
Claims (4)
1. An automatic statistical method for estimating accuracy of workload of software development, wherein an execution subject of the method is a computer, and the method is characterized by comprising the following steps:
s1, according to the development completion date and time period and any developer, using a project and object tracking tool to inquire and obtain a task which meets the conditions of the development completion date and time period and the developer;
s2, extracting the workload estimation working hours, the state generation time of the development completion and the generation time of the development starting state of the task stored in the project and object tracking tool; the item and thing tracking tool comprises: JIRA;
s3, acquiring the actual development time of the task according to the state generation time of the development completion and the generation time of the development starting state; the step S3 includes: subtracting the generation time of the development starting state from the state generation time of the development completion to obtain the actual development time of the task;
s4, acquiring the workload estimation accuracy of the inquired developers to the tasks according to the workload estimation working hours of the tasks and the working hours consumed by actual development;
the step S4 includes:
calculating to obtain the workload estimation accuracy A of the developers inquiring this time on the task through a first formula according to the workload estimation working hours and the working hours consumed by actual development;
the first formula is:
wherein, T1Time taken for the actual development of said task, T2Estimating the working hours for the workload of the task, obtaining the value of AThe smaller the workload is, the more accurate the workload estimation is;
the method further comprises the following steps: and repeating the steps S1-S4 aiming at each developer to obtain the estimated accuracy of each developer on the workload of the task.
2. An automatic statistical device for estimating accuracy of workload of software development, which is applied to a computer, is characterized by comprising:
the query module is used for querying and obtaining tasks meeting the conditions of the development completion date and time period and any developer by utilizing a project and object tracking tool according to the development completion date and time period and the condition of the developer;
the extraction module is used for extracting the workload estimation working hours, the development completion state generation time and the development starting state generation time of the tasks stored in the project and object tracking tool; the item and thing tracking tool comprises: JIRA;
the first acquisition module is used for acquiring the actual development time of the task according to the state generation time of the development completion and the generation time of the development starting state; subtracting the generation time of the development starting state from the state generation time of the development completion to obtain the actual development time of the task;
the second acquisition module is used for acquiring the workload estimation accuracy of the inquired developers to the tasks according to the workload estimation working hours of the tasks and the working hours consumed by actual development;
the second obtaining module is specifically used for
Calculating to obtain the workload estimation accuracy A of the developers inquiring this time on the task through a first formula according to the workload estimation working hours and the working hours consumed by actual development;
the first formula is:
wherein，T1Time taken for the actual development of said task, T2Estimating the working hours for the workload of the task, wherein the smaller the obtained numerical value of A is, the more accurate the workload estimation is;
the device further comprises: and the third acquisition module is used for repeatedly executing the query module to the second acquisition module aiming at each developer to acquire the workload estimation accuracy of each developer to the task.
3. An electronic device, comprising: a processor, a memory, a bus, and a computer program stored on the memory and executable on the processor;
the processor and the memory complete mutual communication through the bus;
the processor, when executing the computer program, implements the method of claim 1.
4. A non-transitory computer-readable storage medium, having stored thereon a computer program which, when executed by a processor, implements the method of claim 1.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711024108.4A CN107833013B (en) | 2017-10-27 | 2017-10-27 | Automatic statistical method and device for workload prediction accuracy of software development |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711024108.4A CN107833013B (en) | 2017-10-27 | 2017-10-27 | Automatic statistical method and device for workload prediction accuracy of software development |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107833013A CN107833013A (en) | 2018-03-23 |
| CN107833013B true CN107833013B (en) | 2020-11-13 |
Family
ID=61650792
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711024108.4A Active CN107833013B (en) | 2017-10-27 | 2017-10-27 | Automatic statistical method and device for workload prediction accuracy of software development |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107833013B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110796342A (en) * | 2019-10-09 | 2020-02-14 | 武汉光庭信息技术股份有限公司 | Automatic management method and device based on typical maintenance project |
| CN112541730A (en) * | 2020-12-04 | 2021-03-23 | 深圳创维－Rgb电子有限公司 | Project working hour statistical method, device and storage medium |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102156641A (en) * | 2011-04-20 | 2011-08-17 | 中国科学院软件研究所 | Prediction method and system for confidence interval of software cost |
| CN104573991A (en) * | 2015-01-28 | 2015-04-29 | 携程计算机技术（上海）有限公司 | Project process management system |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE10316292A1 (en) * | 2003-04-09 | 2004-11-11 | Siemens Ag | Method and arrangement for the performance prediction of an information technology system |
| CN106228312A (en) * | 2016-08-09 | 2016-12-14 | 东莞汇美模具制造有限公司 | A kind of mould management system |
-
2017
- 2017-10-27 CN CN201711024108.4A patent/CN107833013B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102156641A (en) * | 2011-04-20 | 2011-08-17 | 中国科学院软件研究所 | Prediction method and system for confidence interval of software cost |
| CN104573991A (en) * | 2015-01-28 | 2015-04-29 | 携程计算机技术（上海）有限公司 | Project process management system |
Non-Patent Citations (1)
| Title |
|---|
| 怎么估算软件开发成本？;36号橙子6;《https://jingyan.baidu.com/article/4d58d541656ef79dd4e9c014.html》;20180104;第1-4页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN107833013A (en) | 2018-03-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105824639B (en) | Schedule estimation method and device | |
| CN107609028B (en) | Method and device for determining low-efficiency SQL statement | |
| CN107833013B (en) | Automatic statistical method and device for workload prediction accuracy of software development | |
| CN106293891B (en) | Multidimensional investment index monitoring method | |
| CN107016019B (en) | Database index creation method and device | |
| CN110955715A (en) | ERP system, data conversion method and device of target platform and electronic equipment | |
| CN104933618A (en) | Monitoring method and apparatus for batch work operation data of core banking system | |
| CN104035747B (en) | Method and apparatus for parallel computation | |
| JP2019512126A (en) | Method and system for training a machine learning system | |
| WO2015048790A3 (en) | Request process optimization and management | |
| CN109865292B (en) | Game resource construction method and device based on game engine | |
| CN115081760B (en) | Processing resource management optimization method, device, terminal and storage medium | |
| CN110597292A (en) | Unmanned aerial vehicle cluster operation planning method and device | |
| CN111695877A (en) | Computer-implemented project resource management method, system, device and readable medium | |
| CN106648839A (en) | Method and device for processing data | |
| CN106919762B (en) | Finite element grid array modeling method | |
| CN107220160B (en) | Method and device for determining electric quantity consumption of application program | |
| CN105389706A (en) | Return visit processing method and device | |
| CN115905371A (en) | Data trend analysis method, device and equipment and computer readable storage medium | |
| CN105700866A (en) | RTE code generating method and apparatus performing the same | |
| CN104407848A (en) | Data processing method and device | |
| US20170337644A1 (en) | Data driven invocation of realtime wind market forecasting analytics | |
| CN113763142A (en) | Payroll data calculation method, system, corresponding computer device and storage medium | |
| CN107908697B (en) | Automatic collection method and device for host batch processing operation results | |
| CN112130849A (en) | Automatic code generation method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information |
Address after: 100085 Floor 102-1, Building No. 35, West Second Banner Road, Haidian District, Beijing Applicant after: Seashell Housing (Beijing) Technology Co.,Ltd. Address before: 100085 Floor 102-1, Building No. 35, West Second Banner Road, Haidian District, Beijing Applicant before: LIANJIA(BEIJING) TECHNOLOGY Co.,Ltd. |
|
| CB02 | Change of applicant information | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |