CN117724680A - Demand evaluation method, device, computer equipment and storage medium - Google Patents
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Abstract
The application relates to a demand assessment method, a demand assessment device, computer equipment and a storage medium. The method comprises the following steps: determining each service plan information of the target research and development service in a service plan period; clustering the business plan information according to the correlation degree among the business plan information to obtain a business plan information set; semantic recognition is carried out on the service plan information set to obtain service demand information of a target research and development service; task segmentation is carried out on the service demand information to obtain a service iteration period corresponding to the service demand information and iteration task information in the service iteration period; the business iteration period is positioned in the business planning period, and the time of the business iteration period is shorter than the business planning period; and under the condition that the iteration task information meets the preset iteration condition, carrying out value evaluation on the iteration task information to obtain the requirement evaluation information of the service requirement information. By adopting the method, the accuracy and the comprehensiveness of the business demand assessment can be improved.
Description
Technical Field
The present application relates to the field of computer technology, and in particular, to a demand assessment method, apparatus, computer device, storage medium, and computer program product.
Background
Under the current fast-paced software development environment, more and more development teams adopt agile development modes to develop projects, agile development emphasizes fast response changes and continuous delivery, and the product requirements are met through iterative development. By evaluating the value of the demands, the value contribution of each demand to the project can be determined, so that the demands can be continuously optimized and adjusted in the development process, and the development efficiency can be further improved.
In the conventional technology, project management personnel are required to conduct data analysis and value evaluation on delivery conditions of various demands. However, this way of manually evaluating demands relies on the experience of the manager, and it is difficult to objectively and scientifically evaluate the overall value of each demand on the project.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a demand assessment method, apparatus, computer device, computer-readable storage medium, and computer program product that can improve accuracy in assessing business demands.
In a first aspect, the present application provides a demand assessment method. The method comprises the following steps:
determining each service plan information of the target research and development service in a service plan period;
Clustering the business plan information according to the correlation degree among the business plan information to obtain a business plan information set;
semantic recognition is carried out on the service plan information set to obtain service demand information of the target research and development service;
task segmentation is carried out on the service demand information to obtain a service iteration period corresponding to the service demand information and iteration task information in the service iteration period; the business iteration period is positioned in the business planning period, and the time of the business iteration period is shorter than the business planning period;
and under the condition that the iteration task information meets a preset iteration condition, performing value evaluation on the iteration task information to obtain the requirement evaluation information of the service requirement information.
In one embodiment, task segmentation is performed on the service requirement information to obtain a service iteration period corresponding to the service requirement information, and iteration task information in the service iteration period, including:
task segmentation is carried out on the service demand information according to a waterfall development mode, so that task information corresponding to the service demand information is obtained;
Performing time segmentation on the service planning period to obtain a service iteration period corresponding to the service demand information;
combining the task information according to the service iteration period to obtain task planning information of the target research and development service in the service iteration period;
and setting an evaluation node for the task planning information to obtain iteration task information of the service demand information in the service iteration period.
In one embodiment, performing evaluation node setting on the task planning information to obtain iterative task information of the service requirement information includes:
determining an evaluation node of the service iteration period;
determining target task information associated with the evaluation node and an evaluation index of the target task information from the task information of the task planning information;
and obtaining iteration task information of the service demand information in the service iteration period according to the task planning information, the evaluation node and the evaluation index.
In one embodiment, after obtaining the iterative task information of the service requirement information in the service iteration period according to the task planning information, the evaluation node and the evaluation index, the method further includes:
Under the condition that the triggering of the evaluation node in the service iteration period is detected, acquiring task delivery data of target task information associated with the evaluation node;
according to the evaluation index of the evaluation node, evaluating the task delivery data to obtain the iteration completion degree of the service iteration period;
and according to the iteration completion degree of the service iteration period, determining whether iteration task information in the service iteration period meets the preset iteration condition.
In one embodiment, when the iteration task information meets a preset iteration condition, performing value evaluation on the iteration task information to obtain requirement evaluation information of the service requirement information, where the requirement evaluation information includes:
under the condition that the iteration task information of all the business iteration periods of the business requirement information meets the preset iteration conditions, iteration delivery data of the iteration task information of each business iteration period are obtained;
and performing value evaluation on each piece of iterative delivery data according to the value index of the service demand information to obtain the demand evaluation information of the service demand information.
In one embodiment, determining each business plan information of the target development business in the business plan period includes:
Acquiring service target information of the target research and development service;
and dividing the business target information according to the agile development mode based on the business planning period of the target research and development business to obtain the business planning information.
In one embodiment, clustering the service plan information according to the correlation degree between the service plan information to obtain a service plan information set, including:
acquiring a pre-trained information clustering model;
inputting the correlation degree among the business plan information into the pre-trained information clustering model to obtain a clustering result of the business plan information;
and taking the clustering result as the business plan information set.
In a second aspect, the present application further provides a demand assessment apparatus. The device comprises:
the plan determining module is used for determining each piece of service plan information of the target research and development service in a service plan period;
the plan clustering module is used for clustering the business plan information according to the correlation degree among the business plan information to obtain a business plan information set;
the demand acquisition module is used for carrying out semantic recognition on the service plan information set to obtain service demand information of the target research and development service;
The task segmentation module is used for carrying out task segmentation on the service demand information to obtain a service iteration period corresponding to the service demand information and iteration task information in the service iteration period; the business iteration period is positioned in the business planning period, and the time of the business iteration period is shorter than the business planning period;
the requirement evaluation module is used for evaluating the value of the iteration task information under the condition that the iteration task information meets the preset iteration condition, and obtaining requirement evaluation information of the business requirement information.
In a third aspect, the present application also provides a computer device. The computer device comprises a memory storing a computer program and a processor which when executing the computer program performs the steps of:
determining each service plan information of the target research and development service in a service plan period;
clustering the business plan information according to the correlation degree among the business plan information to obtain a business plan information set;
semantic recognition is carried out on the service plan information set to obtain service demand information of the target research and development service;
Task segmentation is carried out on the service demand information to obtain a service iteration period corresponding to the service demand information and iteration task information in the service iteration period; the business iteration period is positioned in the business planning period, and the time of the business iteration period is shorter than the business planning period;
and under the condition that the iteration task information meets a preset iteration condition, performing value evaluation on the iteration task information to obtain the requirement evaluation information of the service requirement information.
In a fourth aspect, the present application also provides a computer-readable storage medium. The computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:
determining each service plan information of the target research and development service in a service plan period;
clustering the business plan information according to the correlation degree among the business plan information to obtain a business plan information set;
semantic recognition is carried out on the service plan information set to obtain service demand information of the target research and development service;
task segmentation is carried out on the service demand information to obtain a service iteration period corresponding to the service demand information and iteration task information in the service iteration period; the business iteration period is positioned in the business planning period, and the time of the business iteration period is shorter than the business planning period;
And under the condition that the iteration task information meets a preset iteration condition, performing value evaluation on the iteration task information to obtain the requirement evaluation information of the service requirement information.
In a fifth aspect, the present application also provides a computer program product. The computer program product comprises a computer program which, when executed by a processor, implements the steps of:
determining each service plan information of the target research and development service in a service plan period;
clustering the business plan information according to the correlation degree among the business plan information to obtain a business plan information set;
semantic recognition is carried out on the service plan information set to obtain service demand information of the target research and development service;
task segmentation is carried out on the service demand information to obtain a service iteration period corresponding to the service demand information and iteration task information in the service iteration period; the business iteration period is positioned in the business planning period, and the time of the business iteration period is shorter than the business planning period;
and under the condition that the iteration task information meets a preset iteration condition, performing value evaluation on the iteration task information to obtain the requirement evaluation information of the service requirement information.
The above-mentioned demand assessment method, apparatus, computer device, storage medium and computer program product, confirm each business plan information of the goal research and development business in the business plan cycle; clustering the business plan information according to the correlation degree among the business plan information to obtain a business plan information set; semantic recognition is carried out on the service plan information set to obtain service demand information of a target research and development service; task segmentation is carried out on the service demand information to obtain a service iteration period corresponding to the service demand information and iteration task information in the service iteration period; the business iteration period is positioned in the business planning period, and the time of the business iteration period is shorter than the business planning period; and under the condition that the iteration task information meets the preset iteration condition, carrying out value evaluation on the iteration task information to obtain the requirement evaluation information of the service requirement information. By adopting the method, the business demand information is split into the iteration task information with smaller business iteration period, so that the state of the business demand information is mapped through the iteration circulation of the task, the subsequent value evaluation processing can evaluate the business demand information in a multi-dimensional manner based on the delivery condition of the iteration task information, and the accuracy and the comprehensiveness of evaluating the business demand are effectively improved.
Drawings
FIG. 1 is a flow chart of a demand evaluation method according to an embodiment;
FIG. 2 is a flow chart of a task segmentation step performed on business requirement information in one embodiment;
FIG. 3 is a flowchart illustrating a step of determining whether iteration task information in a service iteration period satisfies a preset iteration condition in one embodiment;
FIG. 4 is a flowchart of a demand evaluation method according to another embodiment;
FIG. 5 is a flow chart of a demand assessment method according to another embodiment;
FIG. 6 is a block diagram of a demand evaluation apparatus in one embodiment;
fig. 7 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
It should be noted that, the user information (including, but not limited to, user equipment information, user personal information, etc.) and the data (including, but not limited to, data for analysis, stored data, presented data, etc.) referred to in the present application are information and data authorized by the user or sufficiently authorized by each party, and the collection, use, and processing of the related data are required to meet the related regulations.
In one embodiment, as shown in fig. 1, a demand assessment method is provided, where the method is applied to a terminal to illustrate, it is understood that the method may also be applied to a server, and may also be applied to a system including the terminal and the server, and implemented through interaction between the terminal and the server. In this embodiment, the method includes the steps of:
step S101, determining each service plan information of the target development service in the service plan period.
The target research and development business refers to a computer business to be developed. The business planning period refers to a time frame required to execute and complete a target development business. The business scheduling information refers to information describing development and delivery scheduling of the target development business.
Specifically, when the research and development team needs to develop the target research and development service (such as an application program, an applet, etc. of the mobile terminal), a service planning period of the target research and development service and service target information of the target research and development service may be input into the terminal, and the terminal converts the service target information into a plurality of staged service planning information based on the service planning period.
Step S102, clustering is carried out on each business plan information according to the correlation degree among the business plan information, and a business plan information set is obtained.
Wherein the correlation degree is used for reflecting the association tightness degree between the business plan information.
Specifically, the terminal performs text recognition processing on each service plan information to obtain the correlation degree between the service plan information; and the correlation degree can be regarded as the distance measurement between the business plan information, and the clustering algorithm is utilized to perform clustering processing on the business plan information so as to obtain a clustered business plan information set. The business plan information with high correlation degree is clustered together, so that the terminal can conveniently extract the overall demand consensus of the business plan information set, and further the corresponding business demand information is obtained.
And step S103, carrying out semantic recognition on the service plan information set to obtain service demand information of the target research and development service.
The service requirement information refers to information describing functions, performances, interfaces, data and other characteristics of the target research and development service. The business requirement information is used for providing guidance for the design, development and testing of the target research and development business.
It can be understood that the service plan information is different from the service demand information, and the service plan information focuses on a general staged target plan describing the service development process, so that the development plan of the target development service is macroscopically embodied; whereas the business requirement information focuses on the content of the project specifically describing the target development business and explicitly delivering the project.
Specifically, the terminal can perform semantic recognition on each service plan information set by using a semantic recognition algorithm of text data to obtain semantic information of each service plan information set; and performing text generation processing on the semantic information of each business plan information set through a pre-trained text generation model to obtain business requirement information corresponding to the semantic information of each business plan information set. In practical application, the terminal can stand for the business demand information in the demand management platform, and track the project in real time to master the delivery condition of the related demands.
Step S104, task segmentation is carried out on the service demand information to obtain a service iteration period corresponding to the service demand information and iteration task information in the service iteration period; the traffic iteration period is located within the traffic planning period and the time of the traffic iteration period is shorter than the traffic planning period.
The iteration task information refers to a set of task information to be executed and delivered in a service iteration period. The terminal may continue to split the business requirement information into finer grained task information to distribute the task information to the developer for implementation and delivery. Specifically, the terminal may perform task segmentation on the service requirement information according to the function to obtain a plurality of task information, and allocate each task information according to the service iteration period to obtain iteration task information to be executed in each service iteration period. Where the time range of the traffic iteration period is shorter than the traffic planning period, for example, if the traffic planning period is 3 months, the traffic iteration period may be 1 week, 2 weeks, 3 weeks, 4 weeks, or the like.
Step S105, under the condition that the iteration task information meets the preset iteration condition, carrying out value evaluation on the iteration task information to obtain the requirement evaluation information of the service requirement information.
The preset iteration condition is a judging condition set by the pointer on the time of the value evaluation. For example, the preset iteration condition may be that all iteration task information corresponding to the service requirement information is completed.
Specifically, if all the iteration task information corresponding to certain service requirement information is detected to meet the preset iteration condition, the terminal acquires task delivery data of each task information in the iteration task information, performs comprehensive value evaluation on all the task delivery data, and finally obtains requirement evaluation information of the service requirement information.
In the demand evaluation method, determining each piece of service plan information of the target research and development service in a service plan period; clustering the business plan information according to the correlation degree among the business plan information to obtain a business plan information set; semantic recognition is carried out on the service plan information set to obtain service demand information of a target research and development service; task segmentation is carried out on the service demand information to obtain a service iteration period corresponding to the service demand information and iteration task information in the service iteration period; the business iteration period is positioned in the business planning period, and the time of the business iteration period is shorter than the business planning period; and under the condition that the iteration task information meets the preset iteration condition, carrying out value evaluation on the iteration task information to obtain the requirement evaluation information of the service requirement information. By adopting the method, the business demand information is split into the iteration task information with smaller business iteration period, so that the state of the business demand information is mapped through the iteration circulation of the task, the subsequent value evaluation processing can evaluate the business demand information in a multi-dimensional manner based on the delivery condition of the iteration task information, and the accuracy and the comprehensiveness of evaluating the business demand are effectively improved.
In one embodiment, as shown in fig. 2, in step S104, task segmentation is performed on the service requirement information to obtain a service iteration period corresponding to the service requirement information, and iteration task information in the service iteration period, which specifically includes the following contents:
step S201, task segmentation is carried out on the business demand information according to the waterfall development mode, and task information corresponding to the business demand information is obtained.
The task information refers to information describing a development task corresponding to the service requirement information. By way of example, assuming that the business requirement information is a promotion of a collaboration platform, the task information may include: rights management of the collaboration platform, code risk inspection of the collaboration platform, migration and deployment of the collaboration platform, version update of the collaboration platform, and the like.
Specifically, the terminal divides the development process of the business demand information according to the stages of demand analysis, coding, testing, deployment and the like based on a small waterfall development mode, and determines task information of each stage according to the business demand information.
Step S202, time slicing is carried out on the service planning period to obtain a service iteration period corresponding to the service demand information.
Specifically, the terminal inputs task characteristics of each task information into a pre-trained development time prediction model to obtain predicted development time of each task information; and dividing a usable time range of the service demand information from a service planning period according to the sum of the forecast development time of all the task information corresponding to the service demand information, and obtaining a service iteration period corresponding to the service demand information.
And step S203, combining the task information according to the service iteration period to obtain the task planning information of the target research and development service in the service iteration period.
Specifically, the service iteration period can be one or more, if the service iteration period is a plurality of service iteration periods, the terminal distributes each task information to different service iteration periods according to the priority of each task information, so as to obtain a plurality of task information to be executed and delivered in each service iteration period, and then the task planning information of each service iteration period is obtained.
Step S204, the task planning information is subjected to evaluation node setting, and iteration task information of the business demand information in a business iteration period is obtained.
The evaluation node is used for detecting the achievement condition of the task planning information.
In order to avoid that task planning information of a previous service iteration period is not completed or the task planning information of a next service iteration period is skipped to be executed when the completion degree is low, the terminal can set an evaluation node in the service iteration period, and control the circulation of the service iteration period through the evaluation node, so that the execution quality of the iteration task information is ensured. Specifically, the terminal sets an evaluation node in a service iteration period and an evaluation index of the evaluation node; the terminal can also set task circulation and circulation states of each task information in the task planning information to obtain corresponding iteration task information.
In this embodiment, the development time of the service demand information is segmented into service iteration periods of smaller period by utilizing the characteristics of the waterfall development mode of the service demand information, and task information to be developed in each service iteration period is determined to obtain task planning information of each service iteration period; and an evaluation node, task circulation and circulation states are set in the service iteration period, and iteration task information is finally obtained, so that the service demand information progress control can be realized by controlling the circulation progress of the iteration task information, and the operation accuracy of the service demand information is effectively improved.
In one embodiment, the step S204 is configured to set an evaluation node for the task planning information to obtain iteration task information of the service requirement information in a service iteration period, and specifically includes the following contents: determining an evaluation node of a service iteration period; determining target task information associated with the evaluation node and an evaluation index of the target task information from task information of the task planning information; and obtaining iteration task information of the service demand information in a service iteration period according to the task planning information, the evaluation nodes and the evaluation indexes.
Wherein, the evaluation quality is used for evaluating the progress and quality of the task information.
Specifically, the terminal can screen out the iteration key time from the service iteration period; and setting an evaluation node based on the iteration key time and an evaluation index of the evaluation node. In addition, the terminal can also screen out key task information from the task planning information; setting an evaluation node at the critical task information, and setting an evaluation index of the evaluation node.
Further, the terminal can perform quality evaluation on all task information before the evaluation node, and establish an association relationship between all task information before the evaluation node and the evaluation node. The terminal can also acquire the task importance of each task information, screen out target task information with the task importance exceeding a preset importance threshold from the task information before the evaluation node, and establish the association relationship between the target task information and the evaluation node so as to evaluate each target task information through the evaluation index. The terminal sets task planning information of the evaluation node, task circulation and circulation state as iteration task information in the service iteration period.
In this embodiment, an evaluation node is determined and set in task planning information in a service iteration period; determining target task information associated with the evaluation node and an evaluation index of the target task information from task information of the task planning information; finally, iteration task information is constructed according to task planning information, evaluation nodes and evaluation indexes, and evaluation nodes are further arranged in each service iteration period to ensure task completion quality and progress of the iteration task information of each service iteration period, so that problems in the task research and development process can be found as early as possible, the problems can be repaired as early as possible, and the delivery quality of service demand information is improved.
In one embodiment, as shown in fig. 3, after obtaining iteration task information of the service requirement information in the service iteration period according to the task planning information, the evaluation node and the evaluation index, the method further includes:
step S301, under the condition that the triggering of the evaluation node in the service iteration period is detected, task delivery data of target task information associated with the evaluation node is obtained.
Specifically, in the process of executing task information in the iterative task information, a developer can submit task delivery data corresponding to the task information to a terminal, and after the terminal receives the task delivery data, the terminal can modify the circulation state of the task information. When the current time reaches the iteration key time of the evaluation node or the current task flow is transferred to the key task information of the evaluation node, the evaluation node is triggered to automatically execute the evaluation operation, and the terminal acquires the task delivery data of the target task information associated with the evaluation node.
Step S302, task delivery data are evaluated according to evaluation indexes of the evaluation nodes, and iteration completion of a service iteration period is obtained.
Specifically, the terminal calculates the completion degree and quality value of the task delivery data according to the evaluation index of the evaluation node, and then the terminal obtains the iteration completion degree and iteration quality value of the service iteration period to which the evaluation node belongs.
Step S303, according to the iteration completion of the service iteration period, determining whether the iteration task information in the service iteration period meets the preset iteration condition.
Specifically, the terminal may preset a finish degree threshold and a quality value threshold of the service iteration period, and after obtaining the iteration finish degree and the iteration quality value of the service iteration period, may compare the iteration finish degree with the finish degree threshold, and compare the iteration quality value with the quality value threshold to obtain a comparison result of the iteration finish degree and a comparison result of the iteration quality value; the terminal can confirm whether the service iteration period meets the preset iteration condition according to the comparison result of the iteration completion degree and the comparison result of the iteration quality value, for example, if the iteration completion degree exceeds the completion degree threshold and the iteration quality value exceeds the quality value threshold, the terminal can enter the task flow of the iteration task information of the next service iteration period.
The method is to evaluate the iteration completion degree and the iteration quality value of the task information by using the evaluation index, so as to ensure the quality of the delivered task in the iteration research and development process, and to transfer to the iteration task information of the next service iteration period under the condition that the quality and the progress are both over, which is different from the evaluation service requirement information by using the value index.
In this embodiment, under the condition that an evaluation node trigger in a service iteration period is detected, task delivery data of target task information associated with the evaluation node is evaluated according to an evaluation index of the evaluation node, and whether iteration task information in the service iteration period meets a preset iteration condition is confirmed according to an iteration completion degree obtained by evaluation, so that evaluation of the task delivery data in an iteration development process is realized, problems in a research and development process can be found out as early as possible, repair is as early as possible, and delivery quality of service demand information is ensured.
In one embodiment, step S105, where the iteration task information meets a preset iteration condition, performs a value evaluation on the iteration task information to obtain requirement evaluation information of the service requirement information, and specifically includes the following contents: under the condition that iteration task information of all business iteration periods of the business requirement information meets preset iteration conditions, iteration delivery data of the iteration task information of each business iteration period are obtained; and carrying out value evaluation on each iteration delivery data according to the value index of the service demand information to obtain the demand evaluation information of the service demand information.
Specifically, the terminal acquires task delivery data of all task information in the iterative task information under the condition that all iterative task information corresponding to the service demand information is detected to meet a preset iterative condition. When the terminal generates service demand information, the terminal also establishes an association relationship between the service demand information and the value index; the terminal calculates the value scores of all the task delivery data corresponding to the service demand information by using the value index, and takes the value scores as demand assessment information of the service demand information.
In the embodiment, the value evaluation is performed on the service demand information by using the iteration delivery data of the iteration task information, so that the value contribution of the service demand information to the target research and development service can be more accurately quantized, and the accuracy and the comprehensiveness of evaluating the service demand are improved.
In one embodiment, the step S101 determines each piece of service plan information of the target development service in the service plan period, which specifically includes the following contents: acquiring service target information of a target research and development service; based on the service planning period of the target research and development service, the service target information is segmented according to the agile development mode, and each service planning information is obtained.
Specifically, the service target information may be set by the service responsible person and then uploaded to the terminal, or may be obtained by the terminal from a database or a third party platform, for example, the terminal uses the service identification information of the target research and development service to query the database for the service planning period and a plurality of service planning information corresponding to the service identification information. The agile development mode can be adopted to develop the target research and development service, and the terminal plans and divides the service target information by referring to the agile development mode with the service planning period as a reference to obtain a plurality of sliced service planning information.
In this embodiment, the business planning period of the target research and development business is taken as a constraint, and the business target information is segmented into the business planning information according to the agile development mode, so that the staged business planning is realized, and the corresponding business requirement information is generated by taking the business planning information as a basis in the subsequent steps.
In one embodiment, the step S102 performs clustering processing on each service plan information according to the correlation degree between the service plan information to obtain a service plan information set, and specifically includes the following contents: acquiring a pre-trained information clustering model; inputting the correlation degree among the business plan information into a pre-trained information clustering model to obtain a clustering result of the business plan information; and taking the clustering result as a business plan information set.
The information clustering model is used for combining the business plan information with high correlation degree. The information clustering model can be constructed by a clustering algorithm, such as K-means, K-media and the like.
Specifically, the terminal can train to obtain an information clustering model by utilizing the correlation degree between the historical business plan information and the historical business plan information set. The terminal inputs the correlation degree among the business plan information into a pre-trained information clustering model, so as to perform clustering processing on the correlation degree through the information clustering model, and obtain a clustering result of the business plan information; and then each cluster group in the clustering result is respectively set as a service plan information set.
In this embodiment, the correlation degree between the service plan information is clustered by using the pre-trained information clustering model, so that the service plan information with high correlation degree can be clustered into the service plan information set, so that the corresponding service requirement information is generated based on the service plan combination.
In one embodiment, as shown in fig. 4, another demand assessment method is provided, and the method is applied to a terminal for illustration, and includes the following steps:
In step S401, each service plan information of the target development service in the service plan period is determined.
Step S402, clustering the business plan information according to the relativity among the business plan information to obtain a business plan information set; and carrying out semantic recognition on the service plan information set to obtain service demand information of the target research and development service.
Step S403, task segmentation is carried out on the service demand information according to the waterfall development mode, and task information corresponding to the service demand information is obtained; and performing time segmentation on the service planning period to obtain a service iteration period corresponding to the service demand information.
And step S404, combining the task information according to the service iteration period to obtain the task planning information of the target research and development service in the service iteration period.
Step S405, performing evaluation node setting on the task planning information to obtain iteration task information of the service demand information in a service iteration period.
Step S406, under the condition that the iteration task information of all the business iteration cycles of the business requirement information meets the preset iteration condition, iteration delivery data of the iteration task information of each business iteration cycle are obtained.
Step S407, performing value evaluation on each iteration delivery data according to the value index of the service demand information to obtain the demand evaluation information of the service demand information.
The demand assessment method can realize the following beneficial effects: the business requirement information is split into iteration task information with smaller business iteration period, so that the state of the business requirement information is mapped through the iteration circulation of the task, the subsequent value evaluation processing can evaluate the business requirement information in multiple dimensions based on the delivery condition of the iteration task information, and the accuracy and the comprehensiveness of evaluating the business requirement are effectively improved.
In order to more clearly illustrate the demand assessment method provided by the embodiments of the present disclosure, the demand assessment method is specifically described in the following by using a specific embodiment. As shown in fig. 5, there is provided still another demand assessment method, which may be applied to a terminal, and specifically includes the following:
step S501: and making a staged business target plan.
Step S502: planning business requirements: and combining the business target plans with high correlation, so as to facilitate the extraction of the whole business requirement.
Step S503: stand and explicitly deliver value: for each business requirement, establishing a project and implementing tracking, setting the iteration period of the project to be 1 quarter, and setting the value evaluation standard of the project.
Step S504: planning iteration: dividing the project into small-period iterative tasks (for example, 1 to 4 weeks are a total iterative task), wherein each iterative task comprises a plurality of tasks; and setting an iterative workflow by adopting a development mode of a small waterfall, setting a quality stuck point at a key node, and checking the achievement condition of task information, and mapping the state of service requirements through the iterative circulation state.
Step S505: according to the iteration delivery requirement: when the task is completed, the corresponding product version is released to carry out task delivery.
Step S506: the project multi-disc value achieving condition: and when all the iterative tasks are completed, evaluating the value contribution of the business requirement through task delivery data.
In this embodiment, the service requirement is split into smaller periodic iterative tasks, so that the state of the service requirement is mapped through iterative streaming of the tasks, so that subsequent value evaluation processing can perform multidimensional evaluation on the service requirement based on the delivery condition of the iterative tasks, and accuracy and comprehensiveness of evaluating the service requirement are effectively improved.
It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
Based on the same inventive concept, the embodiment of the application also provides a demand evaluation device for realizing the demand evaluation method. The implementation of the solution provided by the device is similar to the implementation described in the above method, so the specific limitation in the embodiment of one or more requirement assessment devices provided below may be referred to the limitation of the requirement assessment method hereinabove, and will not be repeated here.
In one embodiment, as shown in fig. 6, there is provided a demand assessment apparatus 600 comprising:
the plan determining module 601 is configured to determine each piece of service plan information of the target development service in a service plan period.
And the plan clustering module 602 is configured to perform clustering processing on each service plan information according to the correlation degree between the service plan information, so as to obtain a service plan information set.
The requirement acquisition module 603 is configured to perform semantic recognition on the service plan information set to obtain service requirement information of the target research and development service.
The task segmentation module 604 is configured to perform task segmentation on the service requirement information to obtain a service iteration period corresponding to the service requirement information and iteration task information in the service iteration period; the traffic iteration period is located within the traffic planning period and the time of the traffic iteration period is shorter than the traffic planning period.
The requirement evaluation module 605 is configured to perform value evaluation on the iteration task information to obtain requirement evaluation information of the service requirement information when the iteration task information meets a preset iteration condition.
In one embodiment, the task segmentation module 604 is further configured to perform task segmentation on the service requirement information according to a waterfall development mode, so as to obtain task information corresponding to the service requirement information; performing time segmentation on the service planning period to obtain a service iteration period corresponding to the service demand information; combining task information according to the service iteration period to obtain task planning information of the target research and development service in the service iteration period; and setting evaluation nodes for the task planning information to obtain iteration task information of the service demand information in a service iteration period.
In one embodiment, the demand assessment apparatus 600 further includes a node setting module for determining an assessment node of the business iteration cycle; determining target task information associated with the evaluation node and an evaluation index of the target task information from task information of the task planning information; and obtaining iteration task information of the service demand information in a service iteration period according to the task planning information, the evaluation nodes and the evaluation indexes.
In one embodiment, the demand assessment apparatus 600 further includes a task assessment module, configured to obtain task delivery data of target task information associated with an assessment node when an assessment node trigger in a service iteration period is detected; according to the evaluation index of the evaluation node, evaluating the task delivery data to obtain the iteration completion degree of the service iteration period; and according to the iteration completion degree of the service iteration period, determining whether iteration task information in the service iteration period meets preset iteration conditions.
In one embodiment, the requirement evaluation module 605 is further configured to obtain iteration delivery data of the iteration task information of each service iteration period when the iteration task information of all service iteration periods of the service requirement information meets a preset iteration condition; and carrying out value evaluation on each iteration delivery data according to the value index of the service demand information to obtain the demand evaluation information of the service demand information.
In one embodiment, the plan determining module 601 is further configured to obtain service target information of a target development service; based on the service planning period of the target research and development service, the service target information is segmented according to the agile development mode, and each service planning information is obtained.
In one embodiment, the plan clustering module 602 is further configured to obtain a pre-trained information clustering model; inputting the correlation degree among the business plan information into a pre-trained information clustering model to obtain a clustering result of the business plan information; and taking the clustering result as a business plan information set.
The respective modules in the above-described demand evaluation apparatus may be implemented in whole or in part by software, hardware, and combinations thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a terminal, and the internal structure of which may be as shown in fig. 7. The computer device includes a processor, a memory, an input/output interface, a communication interface, a display unit, and an input means. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input/output interface. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The input/output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement a method of demand assessment. The display unit of the computer device is used for forming a visual picture, and can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be a key, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by those skilled in the art that the structure shown in fig. 7 is merely a block diagram of some of the structures associated with the present application and is not limiting of the computer device to which the present application may be applied, and that a particular computer device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
In an embodiment, there is also provided a computer device comprising a memory and a processor, the memory having stored therein a computer program, the processor implementing the steps of the method embodiments described above when the computer program is executed.
In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when executed by a processor, carries out the steps of the method embodiments described above.
In an embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the steps of the method embodiments described above.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the various embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the various embodiments provided herein may include at least one of relational databases and non-relational databases. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic units, quantum computing-based data processing logic units, etc., without being limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples only represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the present application. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application shall be subject to the appended claims.
Claims (10)
1. A demand assessment method, the method comprising:
determining each service plan information of the target research and development service in a service plan period;
clustering the business plan information according to the correlation degree among the business plan information to obtain a business plan information set;
semantic recognition is carried out on the service plan information set to obtain service demand information of the target research and development service;
Task segmentation is carried out on the service demand information to obtain a service iteration period corresponding to the service demand information and iteration task information in the service iteration period; the business iteration period is positioned in the business planning period, and the time of the business iteration period is shorter than the business planning period;
and under the condition that the iteration task information meets a preset iteration condition, performing value evaluation on the iteration task information to obtain the requirement evaluation information of the service requirement information.
2. The method according to claim 1, wherein the task segmentation is performed on the service requirement information to obtain a service iteration period corresponding to the service requirement information, and iteration task information in the service iteration period, including:
task segmentation is carried out on the service demand information according to a waterfall development mode, so that task information corresponding to the service demand information is obtained;
performing time segmentation on the service planning period to obtain a service iteration period corresponding to the service demand information;
combining the task information according to the service iteration period to obtain task planning information of the target research and development service in the service iteration period;
And setting an evaluation node for the task planning information to obtain iteration task information of the service demand information in the service iteration period.
3. The method according to claim 2, wherein the performing evaluation node setting on the task plan information to obtain iterative task information of the service requirement information includes:
determining an evaluation node of the service iteration period;
determining target task information associated with the evaluation node and an evaluation index of the target task information from the task information of the task planning information;
and obtaining iteration task information of the service demand information in the service iteration period according to the task planning information, the evaluation node and the evaluation index.
4. A method according to claim 3, further comprising, after obtaining iterative task information of the business requirement information in the business iteration period based on the task planning information, the evaluation node and the evaluation index:
under the condition that the triggering of the evaluation node in the service iteration period is detected, acquiring task delivery data of target task information associated with the evaluation node;
According to the evaluation index of the evaluation node, evaluating the task delivery data to obtain the iteration completion degree of the service iteration period;
and according to the iteration completion degree of the service iteration period, determining whether iteration task information in the service iteration period meets the preset iteration condition.
5. The method according to claim 1, wherein, in the case that the iterative task information satisfies a preset iterative condition, performing a value evaluation on the iterative task information to obtain the requirement evaluation information of the service requirement information, includes:
under the condition that the iteration task information of all the business iteration periods of the business requirement information meets the preset iteration conditions, iteration delivery data of the iteration task information of each business iteration period are obtained;
and performing value evaluation on each piece of iterative delivery data according to the value index of the service demand information to obtain the demand evaluation information of the service demand information.
6. The method of claim 1, wherein determining each of the business plan information for the target development business within the business plan period comprises:
Acquiring service target information of the target research and development service;
and dividing the business target information according to the agile development mode based on the business planning period of the target research and development business to obtain the business planning information.
7. The method of claim 1, wherein clustering the service plan information according to the correlation between the service plan information to obtain a service plan information set includes:
acquiring a pre-trained information clustering model;
inputting the correlation degree among the business plan information into the pre-trained information clustering model to obtain a clustering result of the business plan information;
and taking the clustering result as the business plan information set.
8. A demand assessment apparatus, the apparatus comprising:
the plan determining module is used for determining each piece of service plan information of the target research and development service in a service plan period;
the plan clustering module is used for clustering the business plan information according to the correlation degree among the business plan information to obtain a business plan information set;
the demand acquisition module is used for carrying out semantic recognition on the service plan information set to obtain service demand information of the target research and development service;
The task segmentation module is used for carrying out task segmentation on the service demand information to obtain a service iteration period corresponding to the service demand information and iteration task information in the service iteration period; the business iteration period is positioned in the business planning period, and the time of the business iteration period is shorter than the business planning period;
the requirement evaluation module is used for evaluating the value of the iteration task information under the condition that the iteration task information meets the preset iteration condition, and obtaining requirement evaluation information of the business requirement information.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 7 when the computer program is executed.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 7.
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