CN107784448A - Task management method and system under a kind of waterfall model - Google Patents
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Abstract
The invention provides the task management method under a kind of waterfall model and system, this method includes：Task corresponding to obtaining task data and task data in the task distribution data sent from the first client is taken the lead personal data；Task based access control personal data of taking the lead determines the second client, and task data is sent to second client；Tasks carrying personal data corresponding to the task node data and task node data of at least one task node is obtained from the tasks carrying data of the second client feedback；According to execution sequence of the task node in waterfall model, task based access control performs personal data and determines the 3rd client successively, and task node data are sent to the 3rd client；Task node based on the 3rd client feedback performs data renewal task node data.The present invention performs flow according to execution sequence control of the task node in waterfall model, so as to ensure that task node performs the compliance of flow.
Description
Technical Field
The invention relates to the technical field of computer software, in particular to a task management method and system under a waterfall model.
Background
The waterfall model is a project development framework, and the development process is sequentially expanded through a series of stages from the beginning of system demand analysis to product release and maintenance. At the present stage, the online bank development is mostly realized based on a waterfall model.
In order to ensure the execution quality of online bank development, a series of task node execution processes are established inside the online bank, for example, document writing in a requirement analysis stage, document walkthrough of requirement analysis and the like. However, at present, task node execution is based on paper process specification, and the process is specified only by means of the improvement of consciousness of developers, so that the compliance of the task node execution process cannot be guaranteed.
Disclosure of Invention
In view of the above, the present invention provides a task management method and system under a waterfall model, so as to solve the problem that the compliance of the task node execution flow cannot be guaranteed due to the fact that the task node execution is based on the paper flow specification at present. The technical scheme is as follows:
a task management method under a waterfall model is characterized by being applied to a server and comprising the following steps:
under the condition of receiving task allocation data sent by a first client, acquiring task data and task leader data corresponding to the task data from the task allocation data;
determining a second client based on the task leader data, and sending the task data to the second client;
under the condition that task execution data fed back by the second client based on the task data is received, task node data of at least one task node and task executor data corresponding to the task node data are obtained from the task execution data;
according to the execution sequence of the task nodes in the waterfall model, determining a third client based on the task executor data in sequence, and sending the task node data to the third client;
and under the condition that task node execution data fed back by the third client based on the task node data is received, updating the task node data based on the task node execution data.
Preferably, the method further comprises the following steps:
and under the condition that an execution state change instruction fed back by the second client based on the updated task node data is received, generating first prompt information for representing the task node execution state change, and sending the first prompt information to the first client.
Preferably, the method further comprises the following steps:
and under the condition of receiving an execution ending state change instruction fed back by the second client based on the updated task node data, detecting the task node according to preset configuration parameters, and updating the execution state of the task node to be an ending state when the detection is passed.
Preferably, after the detection is passed, the method further comprises:
generating second prompt information for representing uploading of the task node document, and sending the second prompt information to the third client;
and under the condition that the task node document uploaded by the third client based on the second prompt message is received, storing the task node document under a unique preset path.
Preferably, when receiving the task node execution data fed back by the third client based on the task node data, the method further includes:
calling a preset task detection tool and starting;
and acquiring a task detection result of the detected task detection tool.
Preferably, the method further comprises the following steps:
under the condition of receiving a workload counting instruction sent by the first client, acquiring task workload from the task data, and simultaneously acquiring task node workload from each task node data;
and calculating the workload of the task leaders and the workload of each task executor.
Preferably, the method further comprises the following steps:
and generating a workload chart according to the workload of the task leaders and the workload of each task executor.
A task management system under a waterfall model, comprising: the device comprises a first acquisition module, a first determination module, a second acquisition module, a second determination module and a data updating module;
the first acquisition module is used for acquiring task data and task leader data corresponding to the task data from the task allocation data under the condition of receiving the task allocation data sent by a first client;
the first determining module is used for determining a second client based on the task leader data and sending the task data to the second client;
the second obtaining module is configured to obtain task node data of at least one task node and task performer data corresponding to the task node data from the task execution data when receiving task execution data fed back by the second client based on the task data;
the second determining module is used for sequentially determining a third client based on the task executor data according to the execution sequence of the task nodes in the waterfall model, and sending the task node data to the third client;
and the data updating module is used for updating the task node data based on the task node execution data when the task node execution data fed back by the third client based on the task node data is received.
Preferably, the method further comprises the following steps: an information generation module;
the information generating module is configured to generate first prompt information for representing the task node execution state change when receiving an execution state change instruction fed back by the second client based on the updated task node data, and send the first prompt information to the first client.
Preferably, the method further comprises the following steps: a state updating module;
and the state updating module is used for detecting the task node according to preset configuration parameters under the condition of receiving an execution ending state changing instruction fed back by the second client based on the updated task node data, and updating the execution state of the task node to be an ending state when the detection is passed.
Compared with the prior art, the invention has the following beneficial effects:
according to the task management method and the task management system under the waterfall model, provided by the invention, the task execution process is refined and promoted into three parts of task allocation formulation, task node formulation and task node execution, and in the task node execution process, the execution flow is controlled according to the execution sequence of the task nodes in the waterfall model, so that the compliance of the task node execution flow is ensured.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a flowchart of a method of task management under a waterfall model according to an embodiment of the present invention;
FIG. 2 illustrates a task assignment display interface;
FIG. 3 illustrates a mission plan display interface;
FIG. 4 illustrates a subtask completion directory display interface;
FIG. 5 is a flowchart of a task management method under another waterfall model according to another embodiment of the present invention;
fig. 6 is a flowchart of a task management method under a waterfall model according to another embodiment of the present invention;
fig. 7 is a flowchart of a task management method under a waterfall model according to another embodiment of the present invention;
fig. 8 is a schematic structural diagram of a task management system under a waterfall model according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment of the invention provides a task management method under a waterfall model, which is applied to a server, wherein the flow chart of the method is shown in figure 1, and the method comprises the following steps:
s10, under the condition that the task allocation data sent by the first client side are received, acquiring the task data and task leader data corresponding to the task data from the task allocation data;
in the process of executing step S10, to implement accurate management of the task execution process, task allocation personnel first performs task allocation formulation, and the task allocation personnel can set task allocation data through the first client according to task characteristics, for example, in a task allocation display interface shown in fig. 2, the task allocation personnel can input task data and task leader data on the display interface, and after the input is completed, the task allocation personnel can send the task data and the task leader data to the server through the first client; wherein,
the task data includes, but is not limited to, one or more of a task batch, a task order number, a task workload, a task starting time, a task submitting time, and a task state, the task leader data may be a name of the task leader, and may also be a task leader number, and the like, which is not specifically limited in this embodiment. Certainly, the task implementer, that is, the task performer, may be specified by the task distributor, and may also be specified by the task leader, which is not specifically limited in this embodiment.
S20, determining a second client based on the task leader data, and sending the task data to the second client;
in the process of executing step S20, the server may search for the second client held by the task leader using the name of the task leader or the task number of the task leader, and send the task data to the storage address corresponding to the to-do-with-item of the second client, so that the task leader may search for the task data from the to-do-item when logging in the second client.
S30, under the condition that task execution data fed back by the second client based on the task data is received, task node data of at least one task node and task executor data corresponding to the task node data are obtained from the task execution data;
in performing step S30, after the task leader views the task data through the second client, a check-in may be first performed to cause the server to update the task status to checked-in, thereby prompting the task distributor that the task has been received.
Further, if task performer data exists in the task data received by the second client, the task leaders directly make a plan based on the task allocation data, such as a task plan display interface shown in fig. 3, and the task leaders can input task phases, that is, task node data and task performer data for performing the task nodes, on the display interface; the task node data includes, but is not limited to, one or more of a task node type (i.e., a task stage), a task node start time, and a task node end time, the task performer data may be a task performer name, a task performer number, and the like, and the embodiment is not particularly limited.
Of course, if necessary, the display interface is also provided with subtasks corresponding to the task node, for example, the subtasks included in the task node for requirement analysis comprise three parts of transfer remittance consignment, transfer remittance modification and transfer remittance authorization.
S40, determining a third client based on task executor data in sequence according to the execution sequence of task nodes in the waterfall model, and sending the task node data to the third client;
taking the internet banking development as an example, the embodiment forms the engineering activity constraints of the six task nodes, namely, the demand analysis, the overall design, the detailed design, the coding, the internal test and the functional test, by extracting all key steps in the internet banking development and combining the waterfall model; further, the task nodes to be executed currently are determined according to the execution sequence of the task nodes in the engineering activity constraint, namely the waterfall model, for example, the overall design is executed after the requirement analysis is completed.
The server searches a third client held by the task executor by using the name or the labor number of the task executor corresponding to the task node, and sends the task node data to a storage address corresponding to the backlog of the third client, so that the task executor can search the task node data from the backlog when logging in the third client.
S50, when receiving the task node execution data fed back by the third client based on the task node data, updating the task node data based on the task node execution data;
in the process of executing step S50, after the task performer views the task node data through the third client, the task performer may perform the task node according to actual needs, and specifically, if there is a subtask in the task node, the subtasks may be sequentially completed according to the corresponding subtask completion directory. As shown in fig. 4, a display interface of the subtask completion directory is shown, and the corresponding task node is a requirement analysis, including transfer remittance consignment, transfer remittance modification and transfer remittance authorization.
After the task performer completes, the task node performance data may be fed back through the third client, for example, after the transfer remittance order of the demand analysis is completed, the completion button before the transfer remittance order shown in fig. 4 may be clicked to feed back the task node performance data for representing the completion of the transfer remittance order to the server, and the server may update the subtask in the task node data after receiving the task node performance data, for example, add a completion identifier to the subtask of the transfer remittance order.
Further, in order to prompt the task distributor to timely know whether the task is normally executed, in some embodiments, the method further includes the following steps, and a flowchart of the method is shown in fig. 5:
and S60, generating first prompt information for representing the task node execution state change when receiving the execution state change instruction fed back by the second client based on the updated task node data, and sending the first prompt information to the first client.
Specifically, the execution state change instruction includes an execution end state change instruction and an execution start state change instruction, and when the task node is started or ended, the server generates first prompt information and sends the first prompt information to the first client. The prompting form includes, but is not limited to, color lamp flashing, color changing, and vibration, and the embodiment is not particularly limited.
Furthermore, in order to ensure that the execution process of the task node meets the execution requirement, in some embodiments, the method further includes the following steps, and the flowchart of the method is shown in fig. 6:
and S70, under the condition that an execution ending state changing instruction fed back by the second client based on the updated task node data is received, detecting the task node according to the preset configuration parameters, and updating the execution state of the task node to be an ending state when the detection is passed.
Specifically, when the second client determines that a task node is finished, it may be detected whether task node data corresponding to the task node is complete by using preset configuration parameters, for example, a certain task node has only one subtask, the subtask is an interface change, it may be detected whether an interface change completion identifier exists in the updated task node data based on the preset interface change parameters, if so, the task node may detect that the task node passes, otherwise, the task node does not pass.
In addition, in order to facilitate subsequent retrieval of the file, after the task node detection passes, the method further comprises the following steps:
generating second prompt information for representing uploading of the task node document, and sending the second prompt information to a third client; and under the condition that the task node document uploaded by the third client based on the second prompt message is received, storing the task node document under the unique preset path.
Specifically, the preset path may be a local path, or may also be a non-local path, for example, on an ftp (file transfer protocol server), which is not specifically limited in this embodiment.
Furthermore, in order to ensure the quality of the execution of the project, in some embodiments, in the case of receiving the task node execution data fed back by the third client based on the task node data, the method further includes the following steps:
calling a preset task detection tool and starting; and acquiring a task detection result of the detected task detection tool.
Taking the internet banking development as an example, the embodiment may integrate the internet banking tool in advance, automatically invoke the internet banking tool after receiving the task node execution data, and start the detection. And for the document, the code and the database, the following three detection modes exist:
and calling a file list in an interface mode, and checking whether the related documents of the task nodes are updated in a fuzzy matching mode, for example, when a requirement analysis stage is finished, a product requirement specification and a function point estimation book must be contained, and when an overall design stage is finished, a software architecture document must be contained.
Calling a code review JAR packet in an interface mode, uploading a path where the code is located, and returning a code review result, wherein the code review JAR packet is an existing Internet banking inspection tool.
And calling an Sql inspection tool jar package in an interface mode, uploading an Sql statement list, and returning an Sql inspection result, wherein the Sql inspection tool jar package is the existing internet bank inspection tool.
In order to ensure that the detection result is displayed clearly, the task detection result can be displayed in the form of a detection report, and the form of the detection report is not specifically displayed and can be specifically set according to actual needs.
Furthermore, in order to ensure that the task assigning person can better understand the task assignment balance, in some embodiments, the method further includes the following steps, and the flowchart of the method is shown in fig. 7:
s80, under the condition of receiving the workload statistical instruction sent by the first client, acquiring task workload from task data, and simultaneously acquiring task node workload from each task node data;
s90, calculating the workload of task leaders and the workload of each task executor;
in the process of executing step S90, for the task leader, the task leader workload may be calculated by calculating the sum of the task workload thereof in the task data and the task node workloads in the respective task node data; and for the task performer, the workload of the task performer can be calculated by calculating the sum of the workload of the task performer in each task node data.
According to the task management method under the waterfall model, provided by the embodiment of the invention, the task execution process is refined and upgraded into three parts of task allocation formulation, task node formulation and task node execution, and in the task node execution process, the execution flow is controlled according to the execution sequence of the task nodes in the waterfall model, so that the compliance of the task node execution flow is ensured.
Based on the task management method under the waterfall model provided by the above embodiment, an embodiment of the present invention further provides a system for executing the above method, a schematic structural diagram of which is shown in fig. 8, and the method includes: the system comprises a first acquisition module 10, a first determination module 20, a second acquisition module 30, a second determination module 40 and a data updating module 50;
the first obtaining module 10 is configured to obtain task data and task leader data corresponding to the task data from the task allocation data when the task allocation data sent by the first client is received;
the first determining module 20 is configured to determine a second client based on the task leader data, and send the task data to the second client;
the second obtaining module 30 is configured to obtain task node data of at least one task node and task performer data corresponding to the task node data from the task execution data when receiving task execution data fed back by the second client based on the task data;
the second determining module 40 is configured to determine a third client based on the task performer data in sequence according to an execution sequence of the task nodes in the waterfall model, and send the task node data to the third client;
and the data updating module 50 is configured to update the task node data by the base task node execution data when receiving the task node execution data fed back by the third client based on the task node data.
Further, in some embodiments, the system further includes the following modules:
and the information generation module is used for generating first prompt information for representing the task node execution state change under the condition of receiving an execution state change instruction fed back by the second client based on the updated task node data, and sending the first prompt information to the first client.
Further, in some embodiments, the system further includes the following modules:
and the state updating module is used for detecting the task node according to preset configuration parameters under the condition of receiving an execution ending state changing instruction fed back by the second client based on the updated task node data, and updating the execution state of the task node into an ending state when the detection is passed.
Further, in some embodiments, the system further includes the following modules:
the workload calculation module is used for acquiring task workloads from the task data and acquiring task node workloads from each task node data under the condition of receiving a workload statistic instruction sent by the first client; and calculating the workload of the task leaders and the workload of each task executor.
The task management system under the waterfall model provided by this embodiment upgrades the task execution process into three parts, namely task allocation formulation, task node formulation, and task node execution, and in the task node execution process, the execution flow is controlled according to the execution sequence of the task nodes in the waterfall model, thereby ensuring the compliance of the task node execution flow.
The task management method and system under the waterfall model provided by the invention are described in detail, a specific example is applied in the text to explain the principle and the implementation mode of the invention, and the description of the above embodiment is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
It should be noted that, in the present specification, the embodiments are all described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments may be referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
It is further noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include or include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A task management method under a waterfall model is characterized by being applied to a server and comprising the following steps:
under the condition of receiving task allocation data sent by a first client, acquiring task data and task leader data corresponding to the task data from the task allocation data;
determining a second client based on the task leader data, and sending the task data to the second client;
under the condition that task execution data fed back by the second client based on the task data is received, task node data of at least one task node and task executor data corresponding to the task node data are obtained from the task execution data;
according to the execution sequence of the task nodes in the waterfall model, determining a third client based on the task executor data in sequence, and sending the task node data to the third client;
and under the condition that task node execution data fed back by the third client based on the task node data is received, updating the task node data based on the task node execution data.
2. The method of claim 1, further comprising:
and under the condition that an execution state change instruction fed back by the second client based on the updated task node data is received, generating first prompt information for representing the task node execution state change, and sending the first prompt information to the first client.
3. The method of claim 1, further comprising:
and under the condition of receiving an execution ending state change instruction fed back by the second client based on the updated task node data, detecting the task node according to preset configuration parameters, and updating the execution state of the task node to be an ending state when the detection is passed.
4. The method of claim 3, wherein after the detecting, further comprising:
generating second prompt information for representing uploading of the task node document, and sending the second prompt information to the third client;
and under the condition that the task node document uploaded by the third client based on the second prompt message is received, storing the task node document under a unique preset path.
5. The method according to claim 1, wherein in case of receiving task node execution data fed back by the third client based on the task node data, thereafter further comprising:
calling a preset task detection tool and starting;
and acquiring a task detection result of the detected task detection tool.
6. The method of claim 1, further comprising:
under the condition of receiving a workload counting instruction sent by the first client, acquiring task workload from the task data, and simultaneously acquiring task node workload from each task node data;
and calculating the workload of the task leaders and the workload of each task executor.
7. The method of claim 6, further comprising:
and generating a workload chart according to the workload of the task leaders and the workload of each task executor.
8. A task management system under a waterfall model, comprising: the device comprises a first acquisition module, a first determination module, a second acquisition module, a second determination module and a data updating module;
the first acquisition module is used for acquiring task data and task leader data corresponding to the task data from the task allocation data under the condition of receiving the task allocation data sent by a first client;
the first determining module is used for determining a second client based on the task leader data and sending the task data to the second client;
the second obtaining module is configured to obtain task node data of at least one task node and task performer data corresponding to the task node data from the task execution data when receiving task execution data fed back by the second client based on the task data;
the second determining module is used for sequentially determining a third client based on the task executor data according to the execution sequence of the task nodes in the waterfall model, and sending the task node data to the third client;
and the data updating module is used for updating the task node data based on the task node execution data when the task node execution data fed back by the third client based on the task node data is received.
9. The system of claim 8, further comprising: an information generation module;
the information generating module is configured to generate first prompt information for representing the task node execution state change when receiving an execution state change instruction fed back by the second client based on the updated task node data, and send the first prompt information to the first client.
10. The system of claim 8, further comprising: a state updating module;
and the state updating module is used for detecting the task node according to preset configuration parameters under the condition of receiving an execution ending state changing instruction fed back by the second client based on the updated task node data, and updating the execution state of the task node to be an ending state when the detection is passed.
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| CN114401314A (en) * | 2021-12-30 | 2022-04-26 | 苏州中科先进技术研究院有限公司 | Data information commanding and scheduling method and system based on Internet |
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