CN116681249A - Method for determining preset normal distribution reverse deduction task decomposition parameters - Google Patents
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Abstract
The invention provides a method for determining preset normal distribution reverse deduction task decomposition parameters, which comprises the following steps: step S1: analyzing the finishing speed of the existing personnel level, and calculating the range of different personnel levels; step S2: deducing a task scale range according to personnel level; step S3: deducing according to the task scale, wherein the task scale and the task allocation personnel matrix relation; step S4: splitting tasks according to results to enable the tasks to meet preset completion time. The granularity of task division is defined, and meanwhile, the task allocation is more reasonable, so that the project efficiency is improved, the standard and allocation principle are more definite, project management is more standard, the granularity division is more reasonable, namely the decomposition of the actual workload of each task is also better, and the basis and principle which are followed in task analysis are better.
Description
Technical Field
The invention relates to the field of project management, in particular to a method for determining preset normal distribution reverse deduction task decomposition parameters.
Background
In project management, task estimation and task allocation are always headache problems of people, reasonable estimation and proper task allocation are key to ensuring progress.
In the prior art, the control of the completion time of a single task is lacking, and the distinguishing processing of the dispatch work of different personnel is also lacking. But simply evaluate the possible workload of a single task and assign it to a team member. This results in uncontrollable completion times for each task, and also blurry granularity of the task cut, with no clear criteria.
The normal distribution (Normal distribution), also known as the "normal distribution", also known as the gaussian distribution (Gaussian distribution), was originally obtained by the er moer (Abraham de Moivre) in an asymptotic formula for binomial distribution. C.f. gaussian derives it from another angle when studying measurement errors. The properties of the material were studied by p.s. laplace and gaussian. Is a probability distribution which is very important in the fields of mathematics, physics, engineering and the like, and has great influence on a plurality of aspects of statistics.
The prior proposal generally adopts story points or people day and month estimation, and in task issuing, agile projects generally adopt a self-claim mode, and traditional project management generally adopts a task allocation mode. The existing mode lacks distinction of personnel level and attention to single task completion time, and also lacks control of task granularity.
Disclosure of Invention
The present invention has been made in view of the above problems, and it is an object of the present invention to provide a preset normal distribution reverse-deriving task decomposition parameter determining method which overcomes or at least partially solves the above problems.
According to an aspect of the present invention, there is provided a method for determining a preset normal distribution reverse derivation task decomposition parameter, the method comprising:
step S1: analyzing the finishing speed of the existing personnel level, and calculating the range of different personnel levels;
step S2: deducing a task scale range according to personnel level;
step S3: deducing according to the task scale, wherein the task scale and the task allocation personnel matrix relation;
step S4: splitting tasks according to results to enable the tasks to meet preset completion time.
Optionally, the step S1: the analysis of the finishing speed of the existing personnel level and the calculation of the range of different personnel levels specifically comprises: and analyzing the finishing speed of the existing personnel level, and calculating the range of different personnel levels according to a normal distribution rule.
Optionally, the step S2: the task scale range deriving from personnel level specifically includes: and deducing the task scale range according to the personnel level and the reasonable completion time.
Optionally, the relation between the task scale and the task allocation personnel matrix specifically includes: the tasks are enabled to meet normal distribution, and for tasks with different sizes, personnel with corresponding levels are selected.
Optionally, the step S4: splitting tasks according to results to enable the tasks to meet preset completion time specifically comprises the following steps: splitting tasks according to results, conforming to the task scope, distributing tasks according to the level matching suggestions, and enabling the tasks to meet normal distribution, so that the tasks meet preset completion time.
The invention provides a method for determining preset normal distribution reverse deduction task decomposition parameters, which comprises the following steps: step S1: analyzing the finishing speed of the existing personnel level, and calculating the range of different personnel levels; step S2: deducing a task scale range according to personnel level; step S3: deducing according to the task scale, wherein the task scale and the task allocation personnel matrix relation; step S4: splitting tasks according to results to enable the tasks to meet preset completion time. The granularity of task division is defined, and meanwhile, the task allocation is more reasonable, so that the project efficiency is improved, the standard and allocation principle are more definite, project management is more standard, the granularity division is more reasonable, namely the decomposition of the actual workload of each task is also better, and the basis and principle which are followed in task analysis are better.
The foregoing description is only an overview of the present invention, and is intended to be implemented in accordance with the teachings of the present invention in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present invention more readily apparent.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flowchart of a method for determining a preset normal distribution reverse derivation task decomposition parameter according to an embodiment of the present invention;
fig. 2 is a level task map provided in an embodiment of the present invention.
Detailed Description
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.
The terms "comprising" and "having" and any variations thereof in the description embodiments of the invention and in the claims and drawings are intended to cover a non-exclusive inclusion, such as a series of steps or elements.
The technical scheme of the invention is further described in detail below with reference to the accompanying drawings and the examples.
As shown in fig. 1, a method for determining a preset normal distribution reverse deduction task decomposition parameter specifically includes:
step S1: analyzing the finishing speed of the existing personnel level, and calculating the range of different personnel levels according to a normal distribution rule;
step S2: deducing a task scale range according to personnel level and reasonable completion time;
step S3: according to the task scale deduction, the task scale and task allocation personnel matrix relation, even if the task meets normal distribution, for tasks with different sizes, what level of personnel should be selected;
step S4: splitting tasks according to results, conforming to the task scope, and distributing tasks according to level matching suggestions to enable normal distribution to be met, so that the tasks meet preset completion time.
The method comprises the steps of firstly determining project personnel capability and task estimation in the same unit, wherein the personnel capability adopts the people day if the task estimation adopts the people day. And the second step is to determine the basic day, for example, the development day of the primary developer yields 1, the capacity of the intermediate developer is 2 times that of the primary developer, and the capacity of the advanced developer is 3 times that of the primary developer, namely 3. The third step determines the appropriate task duration.
And fourthly, determining a proper task splitting range and an allocation range. As for project A, a plurality of tasks are needed, the completion time of each task is expected to meet normal distribution, namely, the average of the completion time is 2 days, one standard deviation is 1 day, the completion rate of 1-3 days is close to 68.27%, and the reasonable size of the designed task is calculated reversely.
| Personnel level | Personnel predicted speed | Reasonable task granularity (Tian) |
| Primary stage | 1 | 1-3 |
| Intermediate grade | 2 | 2-6 |
| Advanced | 3 | 3-9 |
Table 1 level task lookup table
As shown in FIG. 2, it can be seen that if all tasks are to be completed in 1-3 days, then the task granularity should be between 1-9 days, where:
| for 1-2 days | Selecting primary personnel |
| For 2-3 days | Selecting primary or intermediate personnel |
| For 3-6 days | Selecting medium or high-grade personnel |
| For 6-9 days | Selecting senior people |
It is seen that if most tasks are in the task interval 2-6, then personnel assignment is more flexible and efficient.
Firstly, through the preset conditions, the number of days of task execution, the grading definition of personnel capability, the reverse deduction and the task granularity of the project, the actual personnel selection suggestion of task assignment is obtained, and the deduction process of fruits and causes is completed, so that the project estimation is more accurate and efficient.
According to the method, firstly, according to actual personnel of the project, the speed m of personnel is evaluated, and the expected completion time range n1-n2 of each task is determined, so that the range for completing each task corresponding to the personnel level of each task is m 1-m n2, and before the range, the maximum and minimum ranges are the possible completion range of the total task. This range can be used as a range for dividing the task item, i.e., the task item content is divided so as not to exceed a maximum value nor be less than a minimum value. A matrix can be formed for different levels of personnel and task ranges, and through the matrix, the sizes of different tasks can be judged to select proper personnel, so that the finishing time of each task can meet normal distribution, and the project is more standard and controllable.
The beneficial effects are that: the invention aims to ensure that the completion time of each task of a project accords with a normal distribution curve, and is matched with the level division of project personnel, so that the granularity of the task division can be definitely determined, and meanwhile, the task allocation is more reasonable, thereby improving the project efficiency, ensuring more definite standard and allocation principle, ensuring more standard and more reasonable project management, namely the decomposition of the actual workload of each task, and better following basis and principle in task analysis.
The foregoing detailed description of the invention has been presented for purposes of illustration and description, and it should be understood that the invention is not limited to the particular embodiments disclosed, but is intended to cover all modifications, equivalents, alternatives, and improvements within the spirit and principles of the invention.
Claims (5)
1. The method for determining the preset normal distribution reverse deduction task decomposition parameters is characterized by comprising the following steps of:
step S1: analyzing the finishing speed of the existing personnel level, and calculating the range of different personnel levels;
step S2: deducing a task scale range according to personnel level;
step S3: deducing according to the task scale, wherein the task scale and the task allocation personnel matrix relation;
step S4: splitting tasks according to results to enable the tasks to meet preset completion time.
2. The method for determining the preset normal distribution reverse derivation task decomposition parameter according to claim 1, wherein said step S1: the analysis of the finishing speed of the existing personnel level and the calculation of the range of different personnel levels specifically comprises: and analyzing the finishing speed of the existing personnel level, and calculating the range of different personnel levels according to a normal distribution rule.
3. The method for determining the preset normal distribution reverse derivation task decomposition parameter according to claim 1, wherein said step S2: the task scale range deriving from personnel level specifically includes: and deducing the task scale range according to the personnel level and the reasonable completion time.
4. The method for determining a preset normal distribution reverse deduction task decomposition parameter according to claim 1, wherein the task scale and task allocation personnel matrix relation specifically comprises: the tasks are enabled to meet normal distribution, and for tasks with different sizes, personnel with corresponding levels are selected.
5. The method for determining the preset normal distribution reverse derivation task decomposition parameter according to claim 1, wherein said step S4: splitting tasks according to results to enable the tasks to meet preset completion time specifically comprises the following steps: splitting tasks according to results, conforming to the task scope, distributing tasks according to the level matching suggestions, and enabling the tasks to meet normal distribution, so that the tasks meet preset completion time.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117311805A (en) * | 2023-09-27 | 2023-12-29 | 江苏天好富兴数据技术有限公司 | Workload assessment system and method based on big data |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117311805A (en) * | 2023-09-27 | 2023-12-29 | 江苏天好富兴数据技术有限公司 | Workload assessment system and method based on big data |
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