CN110888813A - Project scheduling management method, device, equipment and storage medium - Google Patents
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Abstract
The application provides a project scheduling management method, a project scheduling management device, project scheduling management equipment and a storage medium, wherein the method comprises the following steps: receiving a project scheduling application, wherein the project scheduling application comprises a project type and scheduling data; acquiring a corresponding scheduling threshold according to the project type, wherein the scheduling threshold is acquired based on T test; auditing the project scheduling application according to the scheduling data and the scheduling threshold corresponding to the project type; and correspondingly processing the project scheduling application according to the auditing result of the project scheduling application. The processing efficiency of project scheduling applications can be effectively improved, the labor cost is reduced, different project types can obtain corresponding different scheduling thresholds based on T inspection, and the accuracy of the scheduling thresholds is effectively improved, so that the effectiveness of scheduling audit is improved, and the accuracy of final scheduling is improved.
Description
Technical Field
The present application relates to the field of internet technologies, and in particular, to a project schedule management method, apparatus, device, and storage medium.
Background
With the rapid development of science and technology, various new application software such as bamboo shoots in spring after rain. In the software development period, a development test scheduling stage is entered after requirement evaluation, at present, testing is performed after the development scheduling stage, in the prior art, project scheduling applications are usually checked based on a fixed scheduling experience value, and manual checking is usually required, so that the efficiency of project scheduling application checking processing is low, the scheduling of test workload is usually not accurate enough, and the situation of excessive investment can exist.
Therefore, how to effectively improve project scheduling application processing efficiency and accurately schedule projects becomes a technical problem which needs to be solved urgently.
Disclosure of Invention
The application provides a project scheduling management method, a project scheduling management device, project scheduling management equipment and a project scheduling management storage medium, which aim to overcome the defects of inaccurate scheduling and the like in the prior art.
A first aspect of the present application provides a project scheduling management method, including:
receiving a project scheduling application, wherein the project scheduling application comprises a project type and scheduling data;
acquiring a corresponding scheduling threshold according to the project type, wherein the scheduling threshold is acquired based on T test;
auditing the project scheduling application according to the scheduling data and the scheduling threshold corresponding to the project type;
and correspondingly processing the project scheduling application according to the auditing result of the project scheduling application.
Optionally, the auditing the project scheduling application according to the scheduling data and the scheduling threshold corresponding to the project type includes:
determining the proportion of testing workload to developing workload according to the scheduling data;
and if the ratio of the testing workload to the developing workload is greater than the scheduling threshold, determining that early warning processing needs to be carried out on the project scheduling application.
Optionally, the obtaining a corresponding scheduling threshold according to the item type includes:
acquiring historical scheduling data corresponding to the project type;
determining target sample data by adopting T test based on the historical scheduling data;
determining the scheduling threshold based on the target sample data.
Optionally, the historical scheduling data comprises a sample of proportional values of testing workload to development workload for a plurality of projects;
determining target sample data by adopting a T test based on the historical scheduling data comprises the following steps:
and carrying out single sample T test on the historical scheduling data to determine the target sample data.
Optionally, performing a single sample T test on the historical schedule data to determine the target sample data, including:
determining a corresponding average value and a sample standard deviation according to the historical scheduling data;
determining the T test statistic of each proportional value sample according to the average value and the sample standard deviation;
determining the probability corresponding to each proportional value sample based on the T test statistic of each proportional value sample;
if the probability corresponding to at least one proportion value sample is smaller than a preset threshold value, removing the proportion value sample with the largest difference in the historical scheduling data to obtain first sample data;
according to the first sample data, the steps are repeatedly executed until the probabilities corresponding to the rest proportional value samples are all larger than a preset threshold value;
and taking the rest proportional value samples as the target sample data.
Optionally, said determining said scheduling threshold based on said target sample data comprises:
and taking the average value of the target sample data as the scheduling threshold value.
Optionally, according to the result of the review of the project scheduling application, performing corresponding processing on the project scheduling application includes:
and if the audit result is that early warning processing needs to be carried out on the project scheduling application, returning early warning information.
A second aspect of the present application provides a project management apparatus, comprising:
the system comprises a receiving module, a scheduling module and a scheduling module, wherein the receiving module is used for receiving project scheduling applications, and the project scheduling applications comprise project types and scheduling data;
the acquisition module is used for acquiring a corresponding scheduling threshold according to the project type, wherein the scheduling threshold is acquired based on T test;
the auditing module is used for auditing the project scheduling application according to the scheduling data and the scheduling threshold corresponding to the project type;
and the processing module is used for correspondingly processing the project scheduling application according to the auditing result of the project scheduling application.
Optionally, the auditing module is specifically configured to:
determining the proportion of testing workload to developing workload according to the scheduling data;
and if the ratio of the testing workload to the developing workload is greater than the scheduling threshold, determining that early warning processing needs to be carried out on the project scheduling application.
Optionally, the obtaining module is specifically configured to:
acquiring historical scheduling data corresponding to the project type;
determining target sample data by adopting T test based on the historical scheduling data;
determining the scheduling threshold based on the target sample data.
Optionally, the historical scheduling data comprises a sample of proportional values of testing workload to development workload for a plurality of projects;
the acquisition module is specifically configured to:
and carrying out single sample T test on the historical scheduling data to determine the target sample data.
Optionally, the obtaining module is specifically configured to:
determining a corresponding average value and a sample standard deviation according to the historical scheduling data;
determining the T test statistic of each proportional value sample according to the average value and the sample standard deviation;
determining the probability corresponding to each proportional value sample based on the T test statistic of each proportional value sample;
if the probability corresponding to at least one proportion value sample is smaller than a preset threshold value, removing the proportion value sample with the largest difference in the historical scheduling data to obtain first sample data;
according to the first sample data, the steps are repeatedly executed until the probabilities corresponding to the rest proportional value samples are all larger than a preset threshold value;
and taking the rest proportional value samples as the target sample data.
Optionally, the obtaining module is specifically configured to:
and taking the average value of the target sample data as the scheduling threshold value.
Optionally, the processing module is specifically configured to:
and if the audit result is that early warning processing needs to be carried out on the project scheduling application, returning early warning information.
A third aspect of the present application provides an electronic device, comprising: at least one processor and memory;
the memory stores computer-executable instructions;
the at least one processor executes computer-executable instructions stored by the memory to cause the at least one processor to perform the method as set forth in the first aspect above and in various possible designs of the first aspect.
A fourth aspect of the present application provides a computer-readable storage medium having stored thereon computer-executable instructions that, when executed by a processor, implement a method as set forth in the first aspect and various possible designs of the first aspect.
According to the project scheduling management method, the project scheduling management device, the project scheduling management equipment and the project scheduling management storage medium, scheduling thresholds of different project types are obtained based on T inspection, project scheduling applications are audited based on corresponding scheduling thresholds, and the project scheduling applications are correspondingly processed according to auditing results of the project scheduling applications, so that the processing efficiency of the project scheduling applications can be effectively improved, the labor cost is reduced, the different project types can obtain corresponding different scheduling thresholds based on T inspection, the accuracy of the scheduling thresholds is effectively improved, the effectiveness of scheduling auditing is improved, and the accuracy of final scheduling is improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to these drawings without inventive exercise.
FIG. 1 is a schematic diagram of an architecture of a management system according to an embodiment of the present application;
fig. 2 is a schematic flowchart of a project schedule management method according to an embodiment of the present application;
fig. 3 is a schematic flowchart of a project schedule management method according to another embodiment of the present application;
FIG. 4 is a flowchart illustrating a project management process according to an embodiment of the present application;
FIG. 5 is a logic flow diagram of determining a scheduling threshold as provided by one embodiment of the present application;
fig. 6 is a detailed schematic diagram of a project management process according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of a project management apparatus according to an embodiment of the present application;
fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
With the above figures, there are shown specific embodiments of the present application, which will be described in more detail below. These drawings and written description are not intended to limit the scope of the disclosed concepts in any way, but rather to illustrate the concepts of the disclosure to those skilled in the art by reference to specific embodiments.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The project scheduling management method provided by the embodiment of the application is suitable for application scenes for scheduling development projects. Fig. 1 is a schematic diagram of an architecture of a management system based on the embodiment of the present application. The management system may include a server and at least one terminal. The terminal can comprise an application terminal and an approval terminal, development related personnel can send project scheduling applications to the server through the application terminal, the server obtains scheduling thresholds suitable for the projects according to project types, scheduling data included in the project scheduling applications are checked, if the scheduling data do not meet requirements, a submission early warning can be sent to the application terminal, an applicant is requested to explain specific reasons, if the applicant explains the specific reasons and continues to submit, nodes of the project scheduling applications can be transferred to the approval terminal, and a superior is requested to approve. The processing efficiency of project scheduling application can be effectively improved, the labor cost is reduced, different project types can obtain corresponding different scheduling thresholds based on T inspection, and the accuracy of the project scheduling thresholds is improved, so that the validity of auditing can be improved, and the final scheduling of the project can be more accurate.
Furthermore, the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. In the description of the following examples, "plurality" means two or more unless specifically limited otherwise.
The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments. Embodiments of the present invention will be described below with reference to the accompanying drawings.
An embodiment of the present application provides a project scheduling management method, which is used for project management. The execution subject of the present embodiment is an item management apparatus, which may be provided in a server.
As shown in fig. 2, a schematic flow chart of the project scheduling management method provided in this embodiment is shown, where the method includes:
Specifically, the items may be classified, and the item type identifier is set to identify the item type of the item. Related personnel can send project scheduling applications to the server through the terminal, and the project scheduling applications can comprise project types and scheduling data. Scheduling data may include the amount of work scheduled for different phases.
For example, for a development-class project, a project classification may be performed, such as a configurable development project and a coded development project. Scheduling data includes testing and development workloads.
And 102, acquiring a corresponding scheduling threshold according to the project type, wherein the scheduling threshold is acquired based on T test.
Specifically, different scheduling thresholds can be set for different project types, and after receiving a project scheduling application, the project type can be obtained from the project scheduling application, and the corresponding scheduling threshold is obtained according to the project type.
And the scheduling threshold corresponding to each project type is obtained by carrying out statistical analysis according to the scheduling of the previous project based on T test.
The T test is to use the T distribution theory to deduce the probability of occurrence of difference, so as to compare whether the difference between two averages is significant.
Optionally, the scheduling threshold corresponding to each item type may be obtained in advance based on T-test and stored in correspondence with the item type, so that after receiving the item scheduling application, the corresponding scheduling threshold may be directly obtained from the storage according to the item type.
Optionally, the scheduling threshold corresponding to each item type may also be a scheduling threshold corresponding to the item type determined in real time based on T-test, after receiving the item scheduling application, obtaining corresponding historical scheduling data according to the item type. The method for acquiring the corresponding scheduling threshold according to the item type is not limited in this embodiment.
And 103, auditing the project scheduling application according to the scheduling data and the scheduling threshold corresponding to the project type.
Specifically, after the scheduling threshold corresponding to the project type is obtained, the project scheduling application can be checked according to the scheduling data and the scheduling threshold.
Illustratively, a determination is made as to whether the committed schedule is consistent with the schedule threshold based on the schedule data.
For example, for a development type project, whether the ratio of the test workload to the development workload is smaller than a scheduling threshold is judged, if the ratio is smaller than the scheduling threshold, the comparison is consistent, and if the ratio is larger than the scheduling threshold, the comparison is inconsistent, which may be specifically set according to actual requirements.
And 104, correspondingly processing the project scheduling application according to the auditing result of the project scheduling application.
For example, if the review result is that the ratio of the test workload to the development workload is less than or equal to the scheduling threshold, the review is passed, a message that the review is passed may be returned to the application terminal, and the application process is ended.
If the auditing result is that the ratio of the testing workload to the developing workload is greater than the scheduling threshold, returning a submission early warning to the application terminal, explaining the specific reason by the applicant, and if the applicant continues to submit, transferring the project scheduling application node to the upper stage and carrying out approval by the upper stage.
According to the project scheduling management method provided by the embodiment, scheduling thresholds of different project types are obtained based on T inspection, project scheduling applications are audited based on corresponding scheduling thresholds, and the project scheduling applications are correspondingly processed according to auditing results of the project scheduling applications, so that the processing efficiency of the project scheduling applications can be effectively improved, the labor cost is reduced, the different project types can obtain corresponding different scheduling thresholds based on T inspection, the accuracy of the scheduling thresholds is effectively improved, the validity of scheduling auditing is improved, and the accuracy of final scheduling is improved.
The method provided by the above embodiment is further described in an additional embodiment of the present application.
As shown in fig. 3, a flow chart of the project scheduling management method provided in this embodiment is shown.
As an implementable manner, on the basis of the foregoing embodiment, optionally, the auditing process is performed on the project scheduling application according to the scheduling data and the scheduling threshold corresponding to the project type, which specifically includes:
and step 1031, determining the proportion of the testing workload to the developing workload according to the scheduling data.
And 1032, if the ratio of the testing workload to the developing workload is greater than the scheduling threshold, determining that early warning processing needs to be carried out on the project scheduling application.
Specifically, after a project scheduling application is received, scheduling data can be obtained from the project scheduling application, where the scheduling data includes test workload and workload submitted by an applicant, a ratio of the test workload to the development workload can be determined according to the scheduling data, and if the ratio of the test workload to the development workload is greater than a scheduling threshold, it indicates that the scheduling is unreasonable and early warning needs to be performed, and specifically, early warning information can be returned to the applicant to prompt the applicant to explain a reason or change the scheduling.
As another implementable manner, on the basis of the foregoing embodiment, optionally, obtaining the corresponding scheduling threshold according to the item type specifically includes:
And 1022, determining target sample data by adopting a T test based on the historical scheduling data.
Specifically, for obtaining the scheduling threshold corresponding to each project type, historical scheduling data of the project type may be obtained, where the historical scheduling data may include a sample of a ratio value of a test workload to a development workload of a plurality of projects of the project type. And determining target sample data by adopting T test based on the historical schedule data, namely removing the proportional value samples with larger difference in the historical schedule data, taking the residual proportional value samples as the target sample data, and determining the schedule threshold corresponding to the item type based on the target sample data. Due to the fact that samples with large differences are removed, the obtained scheduling threshold value is more accurate.
Optionally, the historical scheduling data comprises a sample of proportional values of testing workload to development workload for the plurality of projects;
determining target sample data by adopting T test based on historical schedule data, wherein the T test comprises the following steps:
step 10221, performing single sample T test on the historical schedule data, and determining target sample data.
Optionally, performing single-sample T-test on the historical schedule data to determine target sample data, including:
in step 2011, the corresponding mean and sample standard deviation are determined according to historical schedule data.
Step 2012, the T-test statistic for each ratio sample is determined based on the mean and sample standard deviation.
And 2013, determining the probability corresponding to each proportional value sample based on the T test statistic of each proportional value sample.
In step 2014, if at least one of the ratio samples has a probability smaller than a preset threshold, the ratio sample with the largest difference in the historical scheduling data is removed to obtain the first sample data.
And 2015, repeatedly executing the steps according to the first sample data until the probabilities corresponding to the remaining proportional value samples are all larger than a preset threshold.
In step 2016, the remaining samples of the respective proportional values are used as target sample data.
Specifically, a plurality of proportional value samples included in the historical schedule data are used as original sample data, single-sample T test is performed on the original sample data, specifically, a mean value and a sample standard deviation of the original sample data are calculated, T test statistics of each proportional value sample are determined based on the mean value and the sample standard deviation of the original sample data, a probability corresponding to each proportional value sample is determined based on the T test statistics of each proportional value sample, and the probability corresponding to each proportional value sample represents a difference situation between the proportional value sample and the mean value of the original sample data. If the probability corresponding to the proportional value sample is smaller than a preset threshold, no significant difference exists, and if the probability corresponding to the proportional value sample is larger than the preset threshold, significant difference exists. Accordingly, if the probability corresponding to at least one proportion value sample is smaller than the preset threshold, the proportion value sample with the largest difference (namely the smallest probability) in the original sample data (namely the historical schedule data) is removed, and the first sample data is obtained. Performing single-sample T test on the first sample data, calculating the average value and the sample standard deviation of the first sample data, determining the T test statistic of each proportional value sample in the first sample data based on the average value and the sample standard deviation of the first sample data, determining the probability corresponding to each proportional value sample based on the T test statistic of each proportional value sample, and if the probability corresponding to at least one proportional value sample in the first sample data is smaller than a preset threshold, removing the proportional value sample with the maximum difference (namely the minimum probability) in the first sample data to obtain second sample data; and performing single sample T test on the second sample data, and repeating the steps until the probability corresponding to each proportional value sample in the remaining sample data is greater than a preset threshold value, and taking the remaining sample data as target sample data. The method and the device realize the purification of the sample data, eliminate the interference data to the maximum extent and provide guarantee for more accuracy of the workload scheduling threshold.
Optionally, determining the scheduling threshold based on the target sample data includes:
and step 2017, taking the average value of the target sample data as a scheduling threshold.
Specifically, after the target sample data is determined, the average value of each proportional value sample in the target sample data is used as the scheduling threshold corresponding to the item type.
As another implementable manner, on the basis of the foregoing embodiment, optionally, according to an audit result of the project scheduling application, performing corresponding processing on the project scheduling application includes:
and 1041, if the audit result is that early warning processing needs to be performed on the project scheduling application, returning early warning information.
Specifically, if the audit result indicates that the project scheduling application needs to be pre-warned, the scheduling data submitted by the applicant is not reasonable, the applicant needs to be reminded, and the submission pre-warning information is returned to the application terminal, so that the applicant can be reminded that the scheduling is unreasonable, and can enter a pre-warning interface to explain a specific reason and submit the result, or modify the scheduling data and submit the result.
Through statistical analysis of past scheduling data according to project types, an accurate scheduling threshold is obtained through a T test mode to control the rationality of scheduling, and effective examination and approval can be carried out on special conditions.
As an exemplary implementation, as shown in fig. 4, a project management flow diagram provided for this embodiment is provided. The project management process is specifically as follows:
s01, classifying the development project, adding the project attribute in the project management tool, marking the project type, and dividing the project into configuration development project and coding development project. And classifying the projects according to the project attributes, and acquiring a proportional value sample of the testing workload and the developing workload of each corresponding project from the project management tool according to the classification.
S02, carrying out single-sample T test on the proportion value samples of the projects of different project types, namely, deducing whether the average value of the overall sample data is significantly different from the specified test value (namely, each proportion value sample in the overall sample data) by using the proportion of the testing workload and the developing workload of the project of a certain project type as the overall sample data (namely, the original sample data or the historical schedule data). And (3) eliminating abnormal samples (namely the samples with the maximum deviation from the mean value) through difference to obtain first sample data, carrying out single sample T test on the first sample data, and so on until each proportion value sample in the remaining sample data has no significant difference with the remaining sample data, and determining the remaining sample data as target sample data.
And S03, injecting the calculated test workload to development workload proportional empirical value (namely, scheduling threshold value) into the scheduling rule engine.
And S04, determining whether to enter an approval process or not through the triggering condition of the engine.
During each round of single sample T test, whether the probability value P corresponding to each proportional value sample is greater than the significance level a (namely, a preset threshold value) is calculated. And if the probability corresponding to the proportion value sample is smaller than the significance level, eliminating the abnormal sample until the probability values P corresponding to the proportion value samples left after elimination are all larger than the significance level a, so that sample data (namely target sample data) is determined, and performing mean value calculation to obtain an empirical value corresponding to the project type.
As shown in fig. 5, a logic flow diagram for determining a scheduling threshold is provided for the present embodiment. The method comprises the following specific steps:
1. differential analysis was performed by single sample t-test. The single-sample T-test is to test whether the average number of samples (in this embodiment, each scale value sample) is significantly different from the average number of a known population (in this embodiment, sample data for each round of T-test, such as original sample data, first sample data, and second sample data). When the population distribution is normal, if the population standard deviation is unknown, then the dispersion statistic of the sample mean and the population mean is t-distributed.
The single sample t-test statistic is:
wherein xi is the ith proportional value sample in the overall sample data (which can be the original sample data, the first sample data, the second sample data, etc.),
is the sample standard deviation (i.e., sample standard deviation) of the total sample data, and n is the number of samples included in the total sample data.
Is the average of the total sample data. The single sample t-test statistic t is at zero hypothesis: μ ═ μ 0 is true and obeys a t distribution with a degree of freedom of n-1.
And obtaining the probability P corresponding to each proportional value sample under the condition that the statistic t (namely single sample statistic) of each proportional value sample is determined. Specifically, a correspondence table of t and the probability P is provided, and P can be obtained according to t.
2. It is determined whether P is greater than a preset threshold (also called significance level, which may be 0.05, for example). If the P value is less than the significance level, the overall mean is considered to be significantly different from the test value; whereas if the P-value is greater than the significance level, the overall mean is considered to be no significant difference from the test value.
3. A P less than 0.05 indicates a greater variability in the overall sample data. In order to reduce the difference of the total sample data, abnormal data (which can be a sample with the maximum absolute value of the mean value of the total sample) is found out, the abnormal sample is removed from the total sample data to obtain new total sample data, and the single-sample t test is performed again until the difference of the sample data is smaller when P is larger than 0.05, so that the final sample total (namely target sample data) is obtained.
Performing mean calculation on the final sample population
A scheduling threshold (i.e., the empirical value of workload in fig. 5) as a workload proportion corresponding to the item type, where m is included in the target sample dataAnd xi is the ith proportional value sample in the target sample data.
As shown in fig. 6, a detailed schematic diagram of the project management process provided in this embodiment is provided. The method comprises the following specific steps:
1. entry of the test schedule is made in the project management tool.
2. And when the entry is carried out, the regular routing is distributed according to the item type attribute of the item.
3. And when the configuration type development project is adopted, judging whether to trigger a corresponding experience value engine. If the rule is triggered to be not met (the rule is larger than an empirical value (namely a scheduling threshold value) corresponding to the configuration type development project), early warning is needed, and continuous submission according to the current scheduling can be selected, but special explanation needs to be made. Entering 5 approval process after submission; if the scheduling does not trigger the engine (less than or equal to the empirical value) the scheduling is directly finished.
4. And when the development project is a coding development project, judging whether to trigger a corresponding experience value engine. If the rule is triggered to be out of compliance (the rule is larger than the empirical value corresponding to the code development project), early warning is needed, and continuous submission can be selected according to the current schedule, but special explanation is needed. Entering 5 approval process after submission; if the scheduling does not trigger the engine (less than or equal to the empirical value) the scheduling is directly finished.
5. And (4) carrying out approval by the upper level of the working personnel, and if the approval is not passed, re-scheduling and recording the scheduling time. And if the reasonable scheduling period is effective, ending.
Specifically, the applicant can log in a project management tool (or called project management system) through the application terminal, enter scheduling information on a scheduling application page, and the application terminal can acquire scheduling data entered by the applicant, carry the scheduling data in a project scheduling application and send the scheduling data to the server. And the server audits the project scheduling application according to the scheduling threshold value corresponding to the project type, and if the audit is passed, the process is finished. If the examination is not passed, early warning information is returned to the application terminal to prompt the applicant to explain the situation or modify the scheduling, and when the applicant continues to submit, the upper-level examination and approval process is entered.
By way of example, there are two types of development projects in current development projects: a configuration class development project and a coding class development project.
Such as insurance products, are configurable operations. The ratio of the testing workload to the development workload is 2:1 through the single sample T inspection and the abnormal sample elimination step, namely the development workload is one person day, and the testing workload can be completed by 2 persons/day. Then the configurable development project schedule threshold is 2: 1.
For example, the system construction projects are all coding development projects. The ratio of the testing workload to the development workload is 1:2 through the single sample T inspection and abnormal sample elimination steps, the testing workload is 1/2 of the development workload according to the experience of general conditions, and then the scheduling threshold is set 1/2 according to the ratio.
1. Based on the scheduling threshold, when an insurance product carries out test scheduling, if the input workload is not more than 2 persons/day, the scheduling threshold set by the configuration type development project cannot be triggered. When the number of the persons is more than 2 persons/day, the system prompts the scheduling personnel to trigger the rule engine scheduling threshold value, so that the scheduling personnel can confirm whether to continue submitting or submit after modification. If the submission is less than 2 persons/day after modification, it can be directly ended. If the submission continues in the case of a trigger rule, a special explanation of the reason is required and the superordinate approval process is entered. The scheduling period can be effective after the upper-level approval is passed. The approval does not require revising the schedule.
2. Based on the scheduling threshold, when a construction type project tests scheduling, if the input workload is not more than 1/2 development workload, the scheduling threshold set by the configuration type development project is not triggered. When the development workload is greater than 1/2, the system prompts the scheduling personnel to have triggered the rules engine scheduling threshold, allowing the scheduling personnel to confirm whether to continue with the submission or to submit after the modification. The development workload may end directly if the modified commit is less than 1/2. If the submission continues in the case of a trigger rule, a special explanation of the reason is required and the superordinate approval process is entered. The scheduling period can be effective after the upper-level approval is passed. The approval does not require revising the schedule. The automation degree of the approval process is improved, and for some products which meet the scheduling threshold condition, the products do not need to be approved to the upper level, the workload of the upper level is reduced, and the user experience is improved.
It should be noted that the respective implementable modes in the present embodiment may be implemented individually, or may be implemented in combination in any combination without conflict, and the present application is not limited thereto.
According to the project scheduling management method provided by the embodiment, scheduling thresholds of scheduling of different project types are obtained based on T inspection, samples with large differences are removed, so that the scheduling thresholds are more accurate, project scheduling applications are audited based on corresponding scheduling thresholds, and the project scheduling applications are correspondingly processed according to auditing results of the project scheduling applications, so that the processing efficiency of the project scheduling applications can be effectively improved, the labor cost is reduced, the different project types can obtain corresponding different scheduling thresholds based on T inspection, the accuracy of the scheduling thresholds is effectively improved, the effectiveness of scheduling auditing is improved, and the accuracy of final scheduling is improved.
Yet another embodiment of the present application provides a project management apparatus, configured to perform the method of the foregoing embodiment.
Fig. 7 is a schematic structural diagram of the project management apparatus according to this embodiment. The project management apparatus 30 includes a receiving module 31, an obtaining module 32, an auditing module 33, and a processing module 34.
The receiving module is used for receiving project scheduling applications, and the project scheduling applications comprise project types and scheduling data; the acquisition module is used for acquiring a corresponding scheduling threshold according to the project type, and the scheduling threshold is obtained based on T test; the auditing module is used for auditing the project scheduling application according to the scheduling data and the scheduling threshold corresponding to the project type; and the processing module is used for correspondingly processing the project scheduling application according to the auditing result of the project scheduling application.
The specific manner in which the respective modules perform operations has been described in detail in relation to the apparatus in this embodiment, and will not be elaborated upon here.
According to the project management device provided by the embodiment, the scheduling threshold values of different project types are obtained based on T inspection, samples with large differences are eliminated, so that the scheduling threshold values are more accurate, the project scheduling applications are audited based on the corresponding scheduling threshold values, and the project scheduling applications are correspondingly processed according to the auditing results of the project scheduling applications, so that the processing efficiency of the project scheduling applications can be effectively improved, the labor cost is reduced, the different project types can obtain the corresponding different scheduling threshold values based on T inspection, the accuracy of the scheduling threshold values is effectively improved, the effectiveness of scheduling auditing is improved, and the accuracy of final scheduling is improved.
The present application further provides a supplementary description of the apparatus provided in the above embodiments.
As an implementable manner, on the basis of the foregoing embodiment, optionally, the auditing module is specifically configured to:
determining the proportion of the testing workload to the developing workload according to the scheduling data; and if the ratio of the testing workload to the developing workload is greater than the scheduling threshold, determining that early warning processing needs to be carried out on the project scheduling application.
As another implementable manner, on the basis of the foregoing embodiment, optionally, the obtaining module is specifically configured to:
acquiring historical scheduling data corresponding to the project type; determining target sample data by adopting T test based on historical schedule data; based on the target sample data, a scheduling threshold is determined.
As another practicable manner, on the basis of the foregoing embodiment, optionally, the historical scheduling data includes a sample of proportional values of testing workloads to development workloads of the plurality of projects; an acquisition module specifically configured to:
and carrying out single sample T test on the historical scheduling data to determine target sample data.
Optionally, the obtaining module is specifically configured to:
determining a corresponding average value and a sample standard deviation according to historical scheduling data; determining the T test statistic of each proportional value sample according to the average value and the sample standard deviation; determining the probability corresponding to each proportional value sample based on the T test statistic of each proportional value sample; if the probability corresponding to at least one proportion value sample is smaller than a preset threshold value, eliminating the proportion value sample with the largest difference in the historical scheduling data to obtain first sample data; according to the first sample data, the steps are repeatedly executed until the probability corresponding to each residual proportional value sample is larger than a preset threshold value; and taking the rest proportional value samples as target sample data.
Optionally, the obtaining module is specifically configured to:
and taking the average value of the target sample data as a scheduling threshold value.
As another implementable manner, on the basis of the foregoing embodiment, optionally, the processing module is specifically configured to:
and if the auditing result is that early warning processing needs to be carried out on the project scheduling application, returning early warning information.
The specific manner in which the respective modules perform operations has been described in detail in relation to the apparatus in this embodiment, and will not be elaborated upon here.
It should be noted that the respective implementable modes in the present embodiment may be implemented individually, or may be implemented in combination in any combination without conflict, and the present application is not limited thereto.
According to the project management device of the embodiment, the scheduling threshold values of different project types are obtained based on T inspection, samples with large differences are eliminated, the scheduling threshold values are more accurate, the project scheduling applications are audited based on the corresponding scheduling threshold values, the project scheduling applications are correspondingly processed according to auditing results of the project scheduling applications, the processing efficiency of the project scheduling applications can be effectively improved, labor cost is reduced, the different project types can obtain the corresponding different scheduling threshold values based on T inspection, the accuracy of the scheduling threshold values is effectively improved, the effectiveness of scheduling auditing is improved, and the accuracy of final scheduling is improved.
Yet another embodiment of the present application provides an electronic device for performing the method provided by the foregoing embodiment.
As shown in fig. 8, is a schematic structural diagram of the electronic device provided in this embodiment. The electronic device 50 includes: at least one processor 51 and memory 52;
the memory stores computer-executable instructions; the at least one processor executes computer-executable instructions stored by the memory to cause the at least one processor to perform a method as provided by any of the embodiments above.
According to the electronic equipment of the embodiment, the scheduling threshold values of scheduling of different project types are obtained based on T inspection, samples with large differences are removed, the scheduling threshold values are more accurate, the project scheduling applications are audited based on the corresponding scheduling threshold values, and the project scheduling applications are correspondingly processed according to auditing results of the project scheduling applications, so that the processing efficiency of the project scheduling applications can be effectively improved, the labor cost is reduced, the different project types can obtain the corresponding different scheduling threshold values based on T inspection, the accuracy of the scheduling threshold values is effectively improved, the effectiveness of scheduling auditing is improved, and the accuracy of final scheduling is improved.
Yet another embodiment of the present application provides a computer-readable storage medium, in which computer-executable instructions are stored, and when the processor executes the computer-executable instructions, the method provided in any one of the above embodiments is implemented.
According to the computer-readable storage medium of the embodiment, the scheduling thresholds of different project types are obtained based on the T test, samples with large differences are removed, so that the scheduling thresholds are more accurate, the project scheduling applications are audited based on the corresponding scheduling thresholds, and the project scheduling applications are correspondingly processed according to the auditing results of the project scheduling applications, so that the processing efficiency of the project scheduling applications can be effectively improved, the labor cost is reduced, the different project types can obtain the corresponding different scheduling thresholds based on the T test, the accuracy of the scheduling thresholds is effectively improved, the effectiveness of scheduling auditing is improved, and the accuracy of final scheduling is improved.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
The integrated unit implemented in the form of a software functional unit may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium and includes several instructions to enable a computer device (which may be a personal computer, a server, or a network device) or a processor (processor) to execute some steps of the methods according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
It is obvious to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional modules is merely used as an example, and in practical applications, the above function distribution may be performed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to perform all or part of the above described functions. For the specific working process of the device described above, reference may be made to the corresponding process in the foregoing method embodiment, which is not described herein again.
Finally, it should be noted that: the above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill 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; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present application.
Claims (10)
1. A project scheduling management method, comprising:
receiving a project scheduling application, wherein the project scheduling application comprises a project type and scheduling data;
acquiring a corresponding scheduling threshold according to the project type, wherein the scheduling threshold is acquired based on T test;
auditing the project scheduling application according to the scheduling data and the scheduling threshold corresponding to the project type;
and correspondingly processing the project scheduling application according to the auditing result of the project scheduling application.
2. The method of claim 1, wherein the reviewing the project scheduling application according to the scheduling data and the scheduling threshold corresponding to the project type comprises:
determining the proportion of testing workload to developing workload according to the scheduling data;
and if the ratio of the testing workload to the developing workload is greater than the scheduling threshold, determining that early warning processing needs to be carried out on the project scheduling application.
3. The method of claim 1, wherein the obtaining a corresponding scheduling threshold according to the item type comprises:
acquiring historical scheduling data corresponding to the project type;
determining target sample data by adopting T test based on the historical scheduling data;
determining the scheduling threshold based on the target sample data.
4. The method of claim 3, wherein the historical scheduling data comprises a sample of proportional values of testing workload to development workload for a plurality of projects;
determining target sample data by adopting a T test based on the historical scheduling data comprises the following steps:
and carrying out single sample T test on the historical scheduling data to determine the target sample data.
5. The method of claim 4, wherein performing a single sample T test on the historical schedule data to determine the target sample data comprises:
determining a corresponding average value and a sample standard deviation according to the historical scheduling data;
determining the T test statistic of each proportional value sample according to the average value and the sample standard deviation;
determining the probability corresponding to each proportional value sample based on the T test statistic of each proportional value sample;
if the probability corresponding to at least one proportion value sample is smaller than a preset threshold value, removing the proportion value sample with the largest difference in the historical scheduling data to obtain first sample data;
according to the first sample data, the steps are repeatedly executed until the probabilities corresponding to the rest proportional value samples are all larger than a preset threshold value;
and taking the rest proportional value samples as the target sample data.
6. The method of claim 3, wherein said determining said scheduling threshold based on said target sample data comprises:
and taking the average value of the target sample data as the scheduling threshold value.
7. The method according to any one of claims 1 to 6, wherein the processing of the project scheduling application according to the review result of the project scheduling application includes:
and if the audit result is that early warning processing needs to be carried out on the project scheduling application, returning early warning information.
8. An item management apparatus, comprising:
the system comprises a receiving module, a scheduling module and a scheduling module, wherein the receiving module is used for receiving project scheduling applications, and the project scheduling applications comprise project types and scheduling data;
the acquisition module is used for acquiring a corresponding scheduling threshold according to the project type, wherein the scheduling threshold is acquired based on T test;
the auditing module is used for auditing the project scheduling application according to the scheduling data and the scheduling threshold corresponding to the project type;
and the processing module is used for correspondingly processing the project scheduling application according to the auditing result of the project scheduling application.
9. An electronic device, comprising: at least one processor and memory;
the memory stores computer-executable instructions;
the at least one processor executing the computer-executable instructions stored by the memory causes the at least one processor to perform the method of any one of claims 1-7.
10. A computer-readable storage medium having computer-executable instructions stored thereon which, when executed by a processor, implement the method of any one of claims 1-7.
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