CN112541730A - Project working hour statistical method, device and storage medium - Google Patents
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Abstract
The application discloses a project working hour statistical method, a device and a storage medium, wherein the project working hour statistical method comprises the following steps: acquiring a project task, wherein the project task at least comprises a project name and expected working hours of the project name; if the project task comprises a plurality of projects, acquiring the actual total working hours of the project task; an estimated actual man-hour for each project is derived based on the estimated man-hour for each project and the actual total man-hour. Embodiments of the present application derive an estimated actual man-hour for each project based on the estimated man-hour for each project and the actual total man-hour. And the estimated actual working hours are counted. Because the working hours are counted by the superposition of the estimated working hours in the prior art, the error of the method for counting the working hours of each project is smaller, and the estimated actual working hours of the project are closer to the actual working hours of the project.
Description
Technical Field
The invention relates to the field of labor hour statistics, in particular to a project labor hour statistical method, equipment and a storage medium.
Background
With the advent of more and more software project management tools, project man-hours and personal man-hours are invested in two dimensions as being the most interesting in software project management. Its operation and calculation method are also subject to examination by many parties. The conventional software project management tools input the time required by the software project manager and then calculate the accumulated working hours according to the working hours input by the software project manager, but because many works in the software development work are performed in a crossed manner, the calculation mode has large relative deviation.
The above is only for the purpose of assisting understanding of the technical solutions of the present application, and does not represent an admission that the above is prior art.
Disclosure of Invention
The embodiment of the application aims to solve the problem that the error of project working hours counted by an existing software project management tool is large by providing a project working hour counting method, a device and a storage medium.
The embodiment of the application provides a project working hour statistical method, which comprises the following steps:
acquiring a project task, wherein the project task at least comprises a project name and expected working hours of the project name;
if the project task comprises a plurality of projects, acquiring the actual total working hours of the project task;
an estimated actual man-hour for each project is derived based on the estimated man-hour for each project and the actual total man-hour.
In some embodiments, the project labor hour statistical method further comprises:
and if the project task only has one project, taking the estimated man-hour as the actual man-hour of the project.
In some embodiments, said deriving an estimated actual man-hour for each item based on said estimated man-hour for each item and said actual total man-hour comprises:
the estimated actual man-hours for each project are derived based on the estimated man-hours for each project, the estimated total man-hours for the project tasks, and the estimated actual total man-hours for each project.
In some embodiments, the deriving an estimated actual man-hour for each project based on the estimated man-hour for each project, the estimated total man-hour for the project task, and the estimated actual total man-hour for each project comprises:
and taking the product of the percentage of the estimated total man-hour of each item to the estimated total man-hour and the actual total man-hour as the estimated actual man-hour of each item.
In some embodiments, the project labor hour statistical method further comprises:
acquiring the corresponding classification attribute of the project name in the project task;
searching historical standard working hours corresponding to the items of the classification attributes;
and determining a grade according to the comparison result of the estimated actual working hours and the historical standard working hours.
In some embodiments, said determining a score based on said comparing said estimated actual man-hours to said historical standard man-hours comprises:
and if the estimated actual working hours are less than the historical standard working hours or the percentage of the estimated actual working hours in the historical standard working hours is less than 1, scoring the staff according to a preset strategy.
In some embodiments, the project labor hour statistical method further comprises:
searching the historical shortest man-hour corresponding to the items of the classification attributes;
and if the estimated actual working hours are less than the historical shortest working hours or the percentage of the estimated actual working hours to the historical shortest working hours is less than 1, scoring the staff according to a preset strategy, and updating the estimated actual working hours into the historical shortest working hours.
In some embodiments, the historical standard man-hours include: one of a historical average man-hour of the items of the classification attribute, a mode of the historical man-hour, and a median of the historical man-hour.
The application also provides project working hour statistical equipment which comprises a processor, a memory electrically connected with the processor and a project working hour statistical program which is stored on the memory and can run on the processor; the project working hour statistical program realizes the steps of the project working hour statistical method when being executed by the processor.
The present application also provides a computer-readable storage medium storing one or more programs, which are executable by one or more processors to implement the steps of the project man-hour statistical method.
Embodiments of the present application derive an estimated actual man-hour for each project based on the estimated man-hour for each project and the actual total man-hour. And the estimated actual working hours are counted. Because the working hours are counted by the superposition of the estimated working hours in the prior art, the error of the method for counting the working hours of each project is smaller, and the estimated actual working hours of the project are closer to the actual working hours of the project.
Drawings
FIG. 1 is a hardware framework diagram of an embodiment of a project labor hour statistics apparatus of the present application;
FIG. 2 is a block flow diagram of an embodiment of a project time statistics method of the present application;
FIG. 3 is a block flow diagram of another embodiment of a project labor hour statistical method of the present application;
FIG. 4 is a block flow diagram of another embodiment of a project labor hour statistical method of the present application;
FIG. 5 is a block diagram of a flow chart of another embodiment of a project time counting method according to the present application.
Detailed Description
For a better understanding of the above technical solutions, exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
With the advent of more and more software project management tools, project man-hours and personal man-hours are invested in two dimensions as the most interesting dimension in software project management, and their operation and calculation methods are also examined by multiple parties. The conventional software project management tool inputs the time required by the software project manager and then calculates the accumulated working hours according to the working hours input by the software project manager, but because a lot of work in software development work is performed in a crossed manner, the conventional project working hours calculation mode has large relative deviation.
Therefore, there is a need for a problem that an error of a project time of a conventional software project management tool is large, and in view of this, the present application provides a project time counting method, a device and a storage medium.
Referring to fig. 1, a project man-hour counting apparatus is described below, which may include: a processor 1001, such as a CPU, a memory 1005, a user interface 1003, a network interface 1004, a communication bus 1002. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include an input unit such as a keypad (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a wireless interface (e.g., a WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the project labor hour statistics apparatus configuration shown in FIG. 1 does not constitute a limitation of the project labor hour statistics apparatus, and may include more or fewer components than shown, or some components in combination, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a kind of computer storage medium, may include therein an operating system, a network communication module, a user interface module, and a project man-hour statistic program. The operating system is a program for managing and controlling hardware and software resources of the project time counting equipment, and supports the operation of the project time counting program and other software or programs.
In the project man-hour counting apparatus shown in fig. 1, the user interface 1003 is mainly used for receiving preset project tasks and actual total man-hours of the project tasks; the network interface 1004 is mainly used for the background server and performs data communication with the background server; the processor 1001 may be configured to call the project labor hour statistical program stored in the memory 1005 and execute the steps of the project labor hour statistical method as described above.
In one embodiment, the processor 1001 may be configured to call the project labor hour counting program stored in the memory 1005, and execute the project labor hour counting method including:
acquiring a project task, wherein the project task at least comprises a project name and expected working hours of the project name;
if the project task comprises a plurality of projects, acquiring the actual total working hours of the project task;
an estimated actual man-hour for each project is derived based on the estimated man-hour for each project and the actual total man-hour.
In one embodiment, the processor 1001 may be configured to call the project labor hour counting program stored in the memory 1005, and execute the project labor hour counting method including:
the project man-hour statistical method further comprises the following steps:
and if the project task only has one project, taking the estimated man-hour as the actual man-hour of the project.
In one embodiment, the processor 1001 may be configured to call the project labor hour counting program stored in the memory 1005, and execute the project labor hour counting method including:
the obtaining an estimated actual man-hour for each item based on the estimated man-hour for each item and the actual total man-hour comprises:
the estimated actual man-hours for each project are derived based on the estimated man-hours for each project, the estimated total man-hours for the project tasks, and the estimated actual total man-hours for each project.
In one embodiment, the processor 1001 may be configured to call the project labor hour counting program stored in the memory 1005, and execute the project labor hour counting method including:
the obtaining of the estimated actual man-hours for each project based on the estimated man-hours for each project, the estimated total man-hours for the project task, and the actual total man-hours, comprises:
and taking the product of the percentage of the estimated total man-hour of each item to the estimated total man-hour and the actual total man-hour as the estimated actual man-hour of each item.
In one embodiment, the processor 1001 may be configured to call the project labor hour counting program stored in the memory 1005, and execute the project labor hour counting method including:
acquiring the corresponding classification attribute of the project name in the project task;
searching historical standard working hours corresponding to the items of the classification attributes;
and determining a grade according to the comparison result of the estimated actual working hours and the historical standard working hours.
In one embodiment, the processor 1001 may be configured to call the project labor hour counting program stored in the memory 1005, and execute the project labor hour counting method including:
determining a score according to the comparison of the estimated actual man-hours with the historical standard man-hours, comprising:
and if the estimated actual working hours are less than the historical standard working hours or the percentage of the estimated actual working hours in the historical standard working hours is less than 1, scoring the staff according to a preset strategy.
In one embodiment, the processor 1001 may be configured to call the project labor hour counting program stored in the memory 1005, and execute the project labor hour counting method including:
the project man-hour statistical method further comprises the following steps:
searching the historical shortest man-hour corresponding to the items of the classification attributes;
and if the estimated actual working hours are less than the historical shortest working hours or the percentage of the estimated actual working hours to the historical shortest working hours is less than 1, scoring the staff according to a preset strategy, and updating the estimated actual working hours into the historical shortest working hours.
In one embodiment, the processor 1001 may be configured to call the project labor hour counting program stored in the memory 1005, and execute the project labor hour counting method including:
the historical standard man-hours include: one of a historical average man-hour of the items of the classification attribute, a mode of the historical man-hour, and a median of the historical man-hour.
The project man-hour counting device of the present application obtains an estimated actual man-hour for each project based on the estimated man-hour for each project and the actual total man-hour. And the estimated actual working hours are counted. Because the working hours are counted by the superposition of the estimated working hours in the prior art, the error of the method for counting the working hours of each project is smaller, and the estimated actual working hours of the project are closer to the actual working hours of the project.
Referring to fig. 2, a first embodiment of the project labor hour statistical method according to the present application is provided, where the project labor hour statistical method includes the following steps:
s100, acquiring a project task, wherein the project task at least comprises a project name and expected working hours of the project name;
specifically, a project mission is the planning of an upcoming project by a technician prior to the start of the project. The project task includes at least a project name and an estimated man-hour for the project name. Where the project names may be various work projects. For example, in the software industry, the project name may be a software project. Such as software a, software B, etc. The estimated man-hours are an estimate of the time spent by the technician in completing the software. For example, two projects of software a and software B exist in the project task, the estimated man-hour of the software a is 7 days, and the estimated man-hour of the software B is 15 days. Wherein, the estimated working hours reflect the difficulty of each project to a certain extent. The longer the expected man-hours, the more difficult the implementation of the project.
S200, if the project task comprises a plurality of projects, acquiring the actual total working hours of the project task;
since when there are a plurality of projects in a project task, there may be an error from the actual project man-hours when statistics using the estimated man-hours are performed at this time. Therefore, the project labor hour statistical method of the present embodiment is directed to the estimation of project labor hours including a plurality of projects in a project task. Acquiring the actual total man-hour of the project task refers to the total consumed man-hours when all the projects of the entire project task are completed. For example, the end time minus the start time of a project task comprising software A and software B is 22 days. The actual total man-hours for the overall project task is 22 days.
In addition, referring to fig. 3, the project labor hour statistical method of the embodiment further includes: and S400, if the project task only has one project, taking the estimated man-hour as the actual man-hour of the project.
Typically, a technician will consider comprehensiveness in making a plan, taking into account the difficulties encountered in implementing a project, and therefore, projected man-hours for a project are typically longer than actual man-hours for the project. When the project task has only one project suitable for taking the expected man-hour as the actual man-hour of the project.
And S300, obtaining the estimated actual man-hour of each item based on the estimated man-hour of each item and the actual total man-hour.
Specifically, the estimated actual man-hours for each project may be derived based on the estimated man-hours for each project, the estimated total man-hours for project tasks, and the actual total man-hours. Since the estimated man-hours reflect the difficulty of the project, the ratio of the estimated man-hours of the project to the estimated total man-hours of the project task has a reference value and can be used as the basis for estimating the estimated man-hours of the project.
Inspired by the above idea, in the present embodiment, the product of the percentage of the estimated total man-hours of each item to the estimated total man-hours and the actual total man-hours is taken as the estimated actual man-hours of each item. For example, the estimated man-hours for software a is 7 days, and the estimated man-hours for software B is 15 days. Then the total estimated man-hours for the overall project task is 7+15 ≈ 22 days, while the actual total man-hours for the actual project task is 18 days, then the estimated actual man-hours for software a is 7/22 ≈ 18 ≈ 5.73, and the estimated actual man-hours for software B is 15/22 ≈ 18 ≈ 12.37. While the estimated man-hours for software a was 7 days and for software B was 15 days. It can be seen that there is a deviation between the estimated actual man-hour and the estimated man-hour, and when there are many tasks included in the project task, such as tens of tasks, even tens of tasks, the deviation will be further amplified by the accumulation.
It is worth mentioning that the calculation can be performed by the above method also for the case where the actual total man-hours are larger than the expected total man-hours. For example, the estimated man-hours for software a is 7 days, and the estimated man-hours for software B is 15 days. Then the total estimated man-hours for the overall project task is 7+15 ≈ 22 days, while the actual total man-hours for the actual project task is 25 days, then the estimated actual man-hours for software a is 7/22 ≈ 25 ≈ 7.95, and the estimated actual man-hours for software B is 15/22 ≈ 25 ≈ 17.05.
And multiplying the actual total working hours by the proportion of the project estimated working hours in the estimated total working hours of the overall project task to obtain estimated actual working hours, and carrying out working hour statistics on the estimated actual working hours. Compared with the time required by the input of the software project manager and the calculation of the accumulated working hours according to the working hours input by the software project manager, the error of the working hour counting method is smaller, and the obtained project estimated working hours are closer to the actual working hours of the project.
The present embodiment obtains an estimated actual man-hour for each item based on the estimated man-hour for each item and the actual total man-hour. And the estimated actual working hours are counted. Because the working hours are counted by the superposition of the estimated working hours in the prior art, the error of the method for counting the working hours of each project is smaller, and the estimated actual working hours of the project are closer to the actual working hours of the project.
Based on the same inventive concept, please refer to fig. 4, the present application further proposes an embodiment two, which is based on the embodiment one.
Example two
The project man-hour statistical method of the embodiment comprises the following steps:
s100, acquiring a project task, wherein the project task at least comprises a project name and expected working hours of the project name;
s200, if the project task comprises a plurality of projects, acquiring the actual total working hours of the project task;
s400, if the project task only has one project, taking the estimated man-hour as the actual man-hour of the project;
s300, obtaining estimated actual man-hour of each item based on the estimated man-hour of each item and the actual total man-hour;
s500, acquiring corresponding classification attributes of the project names in the project tasks; searching historical standard working hours corresponding to the items of the classification attributes; and determining a grade according to the comparison result of the estimated actual working hours and the historical standard working hours.
The classification attribute is a classification to which the item belongs, and for example, in the field of mobile phone software, the classification attribute includes a game class, a reading class, a news class, a social class and the like.
In order to further acquire the condition that the technician completes the project, so as to screen excellent technicians and optimize the personnel configuration of the new project. The embodiment can also obtain the completion efficiency condition of the technical staff project by obtaining the historical standard working hour of the belonged classification of the project and comparing the estimated actual working hour with the historical standard working hour.
Wherein the historical standard man-hours may be set as data representing an average of the man-hours consumed by the project. For example, the historical standard man-hour may be set as one of a historical average man-hour of the items of the classification attribute, a mode of the historical man-hour, and a median of the historical man-hour.
The step of determining a score based on the comparison of the estimated actual man-hours to the historical standard man-hours may further comprise: and if the estimated actual working hours are less than the historical standard working hours or the percentage of the estimated actual working hours in the historical standard working hours is less than 1, scoring the staff according to a preset strategy.
For example, the estimated actual working hour of the software a is 5.73 days, the classification attribute of the software a belongs to the reading software, the historical average working hour of the reading software searched from the historical data is 8 days, and at this time, the estimated actual working hour of the software a is smaller than the historical average working hour of the reading software, so that the employee can be scored relatively high. For example, in the scoring of 6-10, 8 points can be scored for the staff, and technicians with high project completion efficiency can be screened out through the scoring of the staff. And the personnel configuration of the optimized project is facilitated. The technical personnel with higher completion efficiency are assigned to the more important project, and the completion efficiency of the project is improved.
The specific implementation principle and manner of the above steps S100, S200, S400, and S300 are the same as those of the embodiment corresponding to fig. 3 from step S100 to step S300, and the description of step S100 to step S300 can be specifically referred to.
Based on the same inventive concept, please refer to fig. 5, the present application further provides a third embodiment, which is based on the first embodiment.
EXAMPLE III
The project man-hour statistical method of the embodiment comprises the following steps:
s100, acquiring a project task, wherein the project task at least comprises a project name and expected working hours of the project name;
s200, if the project task comprises a plurality of projects, acquiring the actual total working hours of the project task;
s400, if the project task only has one project, taking the estimated man-hour as the actual man-hour of the project;
s300, obtaining estimated actual man-hour of each item based on the estimated man-hour of each item and the actual total man-hour;
s500, acquiring corresponding classification attributes of the project names in the project tasks; searching historical standard working hours corresponding to the items of the classification attributes; and determining a grade according to the comparison result of the estimated actual working hours and the historical standard working hours.
S600, searching the historical shortest working hour corresponding to the items of the classification attributes; and if the estimated actual working hours are less than the historical shortest working hours or the percentage of the estimated actual working hours to the historical shortest working hours is less than 1, scoring the staff according to a preset strategy, and updating the estimated actual working hours into the historical shortest working hours.
In addition to comparing the estimated actual man-hours of the items with the historical average man-hours of the categories to which the items belong, the estimated actual man-hours of the items can also be compared with the historical shortest man-hours of the categories to which the items belong, and the working efficiency of technicians can be further understood.
For example, the estimated actual working hour of the software a is 5.73 days, the classification attribute of the software a belongs to the reading software, the historical shortest working hour of the reading software is searched from the historical data and is 8 days, and at the moment, the estimated actual working hour of the software a is smaller than the historical shortest working hour of the reading software, so that the employee can be scored relatively high. For example, a score of 6-10, a score of 9 or 10 may be applied to the employee. And 5.73 days is updated to the shortest working hour of the history. Technicians with high project completion efficiency can be screened out through the grading of the staff. Further optimizing the personnel configuration of the project. The technical personnel with higher completion efficiency are assigned to the more important project, and the completion efficiency of the project is improved.
The specific implementation principle and manner of the above steps S100, S200, S400, S300, and S500 are the same as those of the steps S100 to S500 in the embodiment corresponding to fig. 4, and the description of the steps S100 to S500 may be specifically referred to.
The present application also provides a computer-readable storage medium storing one or more programs, which are executable by one or more processors to implement the steps of the project man-hour statistical method.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention 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 invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. 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 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 should be noted that in the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. A project man-hour statistical method is characterized by comprising the following steps:
acquiring a project task, wherein the project task at least comprises a project name and expected working hours of the project name;
if the project task comprises a plurality of projects, acquiring the actual total working hours of the project task;
an estimated actual man-hour for each project is derived based on the estimated man-hour for each project and the actual total man-hour.
2. The method of claim 1, further comprising:
and if the project task only has one project, taking the estimated man-hour as the actual man-hour of the project.
3. The method of claim 1, wherein the deriving an estimated actual man-hours for each item based on the estimated man-hours for each item and the actual total man-hours comprises:
the estimated actual man-hours for each project are derived based on the estimated man-hours for each project, the estimated total man-hours for the project tasks, and the estimated actual total man-hours for each project.
4. The method of claim 3, wherein the deriving an estimated actual man-hours for each project based on the estimated man-hours for each project, the estimated total man-hours for the project task, and the actual total man-hours comprises:
and taking the product of the percentage of the estimated total man-hour of each item to the estimated total man-hour and the actual total man-hour as the estimated actual man-hour of each item.
5. The method of claim 1, further comprising:
acquiring the corresponding classification attribute of the project name in the project task;
searching historical standard working hours corresponding to the items of the classification attributes;
and determining a grade according to the comparison result of the estimated actual working hours and the historical standard working hours.
6. The method of claim 5, wherein determining a score based on the comparison of the estimated actual man-hours to the historical standard man-hours comprises:
and if the estimated actual working hours are less than the historical standard working hours or the percentage of the estimated actual working hours in the historical standard working hours is less than 1, scoring the staff according to a preset strategy.
7. The method of claim 6, further comprising:
searching the historical shortest man-hour corresponding to the items of the classification attributes;
and if the estimated actual working hours are less than the historical shortest working hours or the percentage of the estimated actual working hours to the historical shortest working hours is less than 1, scoring the staff according to a preset strategy, and updating the estimated actual working hours into the historical shortest working hours.
8. The method of any of claims 5-6, wherein the historical standard man-hours comprise: one of a historical average man-hour of the items of the classification attribute, a mode of the historical man-hour, and a median of the historical man-hour.
9. A project man-hour statistic device, characterized in that the device comprises a processor, a memory electrically connected with the processor and a project man-hour statistic program stored on the memory and operable on the processor; the project man-hour statistic program when executed by the processor implementing the steps of the project man-hour statistic method according to any one of claims 1 to 8.
10. A computer readable storage medium, storing one or more programs, which are executable by one or more processors, to implement the steps in the project man-hour statistical method according to any one of claims 1 to 8.
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