CN117541194A - Software development management system based on big data and application method thereof - Google Patents
Software development management system based on big data and application method thereof Download PDFInfo
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- CN117541194A CN117541194A CN202311761788.3A CN202311761788A CN117541194A CN 117541194 A CN117541194 A CN 117541194A CN 202311761788 A CN202311761788 A CN 202311761788A CN 117541194 A CN117541194 A CN 117541194A
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- 238000000034 method Methods 0.000 title claims abstract description 21
- 230000008569 process Effects 0.000 claims abstract description 11
- 238000007726 management method Methods 0.000 claims description 77
- 238000012545 processing Methods 0.000 claims description 38
- 238000012544 monitoring process Methods 0.000 claims description 26
- 238000004458 analytical method Methods 0.000 claims description 14
- 230000008859 change Effects 0.000 claims description 12
- 238000006243 chemical reaction Methods 0.000 claims description 12
- 238000013500 data storage Methods 0.000 claims description 11
- 230000002159 abnormal effect Effects 0.000 claims description 10
- 238000004140 cleaning Methods 0.000 claims description 10
- 238000011161 development Methods 0.000 claims description 9
- 238000012795 verification Methods 0.000 claims description 9
- 238000013070 change management Methods 0.000 claims description 6
- 238000007405 data analysis Methods 0.000 claims description 6
- 238000007619 statistical method Methods 0.000 claims description 6
- 238000004891 communication Methods 0.000 claims description 5
- 238000005516 engineering process Methods 0.000 claims description 4
- 238000013475 authorization Methods 0.000 claims description 3
- 238000009499 grossing Methods 0.000 claims description 3
- 238000005259 measurement Methods 0.000 claims description 3
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- 238000003860 storage Methods 0.000 claims description 2
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- 230000000694 effects Effects 0.000 description 2
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- 230000007774 longterm Effects 0.000 description 1
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/10—Requirements analysis; Specification techniques
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06311—Scheduling, planning or task assignment for a person or group
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/101—Collaborative creation, e.g. joint development of products or services
Abstract
The invention discloses a software development management system based on big data and a use method thereof, belonging to the technical field of software development. A big data based software development management system comprising: the demand management module is used for collecting, recording and managing the demands of users and analyzing the demands; the project scheduling module is used for making a project plan according to the requirements and distributing tasks, and is connected with the requirement management module; and the team cooperation module is used for providing cooperation tools among team members. According to the software development management system based on big data, the requirement management module is arranged, so that the system can purposefully develop software by acquiring the requirement of a user, and a team can better understand, organize and track the requirement of a project, and the software development process can be planned and executed more effectively.
Description
Technical Field
The invention relates to the technical field of software development, in particular to a software development management system based on big data and a use method thereof.
Background
The point system is a system for recording and tracking activities, behaviors or transactions of users, rewards participation and contribution of the users by giving the users an integral, generally comprises a mall APP (application program) so as to facilitate the users to browse, search and purchase goods or services on mobile equipment, and generally needs to use a software development management system in the development process of the mall APP software, but the existing software development management system generally carries out software development independently through technicians, so that the developed software cannot well meet the use requirements of the users, further the functions and performances of the software are lower, and the use experience of the users is reduced.
Based on the above, the invention designs a software development management system based on big data and a use method thereof, so as to solve the problems.
Disclosure of Invention
1. Technical problem to be solved
The invention aims to provide a software development management system based on big data and a use method thereof, so as to solve the problems in the background technology.
2. Technical proposal
A big data based software development management system comprising:
the demand management module is used for collecting, recording and managing the demands of users and analyzing the demands;
the project scheduling module is used for making a project plan according to the requirements and distributing tasks, and is connected with the requirement management module;
the team cooperation module is used for providing a cooperation tool among team members, tracking and recording communication between the interior and the exterior of the team, and is connected with the project scheduling module;
the performance monitoring module is used for monitoring the performance of the system, identifying and solving performance bottlenecks and providing optimization suggestions based on big data analysis;
the data processing module is used for collecting data generated in the development process and processing and analyzing the collected data;
and the security management module is used for managing user identity verification and authorization, tracking security events of the system and accessing records of the system and data.
Preferably, the demand management module includes:
the system comprises a demand collection module, a demand collection module and a storage module, wherein the demand collection module is used for providing an online form for users to fill in and submit demands, and the demand collection module allows the demands to be imported from other systems and files;
the demand analysis module is used for classifying demands according to the priority standard, evaluating the demands and determining the complexity, the influence range and the priority of the demands, and is connected with the demand collection module;
the change management module is used for recording the change history of the requirement, including the reason, time and responsible person of the change, and setting the approval flow of the change requirement;
the feedback management module is used for collecting suggestions and problems proposed by a user and analyzing user feedback, and is connected with the demand analysis module;
the document management module is used for managing documents related to requirements and allowing other related documents to be associated with specific requirements;
the demand notification module is used for automatically sending notification and reminding, and is connected with the demand collection module, the change management module and the feedback management module.
Preferably, the demand analysis module includes:
the demand definition module is used for classifying and sorting the collected user demands and distinguishing core demands from secondary demands, and is connected with the demand collection module;
the demand verification module is used for checking whether the demand is comprehensive and accurate and has no contradiction, and is connected with the demand definition module;
the demand priority module is used for setting priorities for different demands according to the service value and urgency, and is connected with the demand verification module;
and the quality standard module is used for setting the quality standard which needs to be achieved by the system and establishing a measurement standard.
Preferably, the data processing module includes:
the data cleaning module is used for processing the original data and is connected with the demand management module;
the data conversion module is used for converting the data processed by the data cleaning module into a format suitable for analysis, and the data conversion module is connected with the data cleaning module;
the data storage module is used for establishing a data warehouse, storing the data processed by the data conversion module into the data warehouse, and connecting the data storage module with the data conversion module;
the data analysis module is used for analyzing the data in the data storage module through a statistical method and is connected with the data storage module.
Preferably, the data cleaning module includes:
the abnormal value processing module is used for identifying abnormal values in the data through a statistical method and marking and processing the identified abnormal values;
the missing value processing module is used for checking whether missing values exist in the data through the statistical indexes and filling the missing values through an interpolation method;
the repeated value processing module is used for checking whether repeated records exist in the data and deleting the checked repeated values;
and the noise processing module is used for identifying noise data caused by errors and processing the noise data through a smoothing technology.
Preferably, the security management module includes:
an identity authentication module for confirming the identity of team members and allowing members to log in to a plurality of related systems using a set of credentials in the systems;
the role management module is used for distributing the members to different roles, each role has specific authority, and the access control module is connected with the identity authentication module and the project scheduling module;
the authority management module defines the operation and access resources which can be executed by each member, and the authority management module is connected with the role management module;
the password management module is used for defining and forcing password complexity rules and providing a member password safety resetting mechanism, and the password management module is connected with the identity authentication module.
Preferably, the system further comprises a monitoring and logging module, the monitoring and logging module comprises a system monitoring module and a logging module, the system monitoring module is used for monitoring the running states of the application programs and the infrastructure, and the logging module is used for logging system operation and events.
A software development management method based on big data comprises the following steps:
s1, collecting, recording and managing user demands through a demand management module, analyzing the demands, then designating a project plan through a project scheduling module, distributing tasks to team members according to the project plan, and communicating the team members through a team cooperation module;
s2, team members enter the system through the security management module and execute tasks distributed by the project scheduling module;
and S3, monitoring the system performance through a performance monitoring module so as to identify and solve the performance bottleneck, and collecting data generated in the development process by a data processing module and processing and analyzing the collected data.
3. Advantageous effects
Compared with the prior art, the invention has the advantages that:
1) According to the big data-based software development management system, the requirement management module is arranged, so that the system can purposefully develop software by acquiring the requirement of a user, and a team can better understand, organize and track the requirement of a project, and the software development process can be planned and executed more effectively.
2) According to the big data-based software development management system, the data processing module is arranged, so that the system can analyze data generated in the process to provide insight, thereby helping teams to know the progress, performance, quality and other aspects of projects, providing comprehensive data support for teams, and improving the practical performance of the system.
3) According to the software development management system based on big data, by arranging the security management module, only authorized users of the system can access and execute specific operations, so that the data and functions of the system are properly protected, and the security performance of the system is greatly improved.
Drawings
FIG. 1 is a schematic diagram of the overall system of the present invention;
FIG. 2 is a schematic diagram of a demand management module system according to the present invention;
FIG. 3 is a schematic diagram of a system of data processing modules according to the present invention;
fig. 4 is a schematic diagram of a security management module system according to the present invention.
Detailed Description
In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the apparatus or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present invention.
In the description of the present invention, the meaning of "a plurality" is two or more, unless explicitly defined otherwise.
In the description of the present invention, it should be noted that, unless explicitly specified and limited otherwise, the terms "mounted," "configured to," "engaged with," "connected to," and the like are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art.
Examples: referring to fig. 1-4, a software development management system based on big data includes:
the demand management module is used for collecting, recording and managing the demands of users, and analyzing the demands in the modes of an online form, a feedback system and the like so as to ensure that a development team fully understands the functions and characteristics expected by the users;
the project scheduling module is used for making a project plan according to the requirements and distributing tasks so as to ensure that team members know own work arrangement, and is connected with the requirement management module;
the team cooperation module is used for providing a cooperation tool among team members, so that communication among the team members is facilitated, communication between the interior and the exterior of the team is tracked and recorded, timeliness and accuracy of information transfer are ensured, and the team cooperation module is connected with the project scheduling module;
the performance monitoring module is used for monitoring the performance of the system, identifying and solving performance bottlenecks and providing optimization suggestions based on big data analysis so as to help improve the performance of the software;
the data processing module is used for collecting data generated in the development process, and processing and analyzing the collected data so as to improve the accuracy of the data;
and the security management module is used for managing user identity verification and authorization, ensuring that only authorized personnel can access the sensitive information, tracking security events of the system and recording access to the system and data.
As a preferred embodiment of the present invention, the demand management module includes:
the demand collection module is used for providing an online form for filling and submitting demands of users so as to conveniently collect feedback and the demands of the users, and the demand collection module allows the demands to be imported from other systems and files so as to ensure that the existing demand information can be incorporated into the system;
the demand analysis module is used for classifying demands according to the priority standard so as to better organize and understand the demands, evaluating the demands, determining the complexity, the influence range and the priority of the demands, and providing reference for subsequent planning and distribution, and is connected with the demand collection module;
the change management module is used for recording the change history of the requirement, including the reason, time and responsible person of the change, and setting the approval flow of the change requirement to ensure that the change is properly approved;
the feedback management module is used for collecting suggestions and problems proposed by a user, analyzing the feedback of the user and determining whether the requirement or the plan of the project needs to be adjusted or not, and is connected with the requirement analysis module;
the document management module is used for managing documents related to requirements, ensuring traceability of versions and change histories of the documents, and allowing other related documents to be related to specific requirements so as to comprehensively know the context and the background of the requirements;
the demand notification module is used for automatically sending notification and reminding, so that related team members can know important demand change or progress, and the demand notification module is connected with the demand collection module, the change management module and the feedback management module.
In this embodiment, the demand analysis module includes:
the demand definition module is used for classifying and sorting the collected user demands and distinguishing core demands from secondary demands, and is connected with the demand collection module;
the demand verification module is used for checking whether the demand is comprehensive and accurate and has no contradiction, ensuring that the user correctly understands the system function, and is connected with the demand definition module;
the demand priority module is used for setting priorities for different demands according to the service value and urgency so as to be selectively carried out in development, and is connected with the demand verification module;
and the quality standard module is used for setting the quality standard which the system needs to reach and establishing a measurement standard so as to quantitatively evaluate the quality of the system.
As a preferred embodiment of the present invention, the data processing module includes:
the data cleaning module is used for processing the original data and is connected with the demand management module;
the data conversion module is used for converting the data processed by the data cleaning module into a format suitable for analysis, and the data conversion module is connected with the data cleaning module;
the data storage module is used for establishing a data warehouse and storing the data processed by the data conversion module into the data warehouse so as to support long-term analysis, and is connected with the data conversion module;
and the data analysis module is used for analyzing the data in the data storage module through a statistical method so as to know the distribution and trend of the data, and is connected with the data storage module.
In this embodiment, the data cleansing module includes:
the abnormal value processing module is used for identifying abnormal values in the data through a statistical method and marking and processing the identified abnormal values so as to further process the abnormal values;
the missing value processing module is used for checking whether missing values exist in the data through the statistical indexes and filling the missing values through an interpolation method;
the repeated value processing module is used for checking whether repeated records exist in the data, deleting the checked repeated values and ensuring the uniqueness of the data;
and the noise processing module is used for identifying noise data caused by errors and processing the noise data through a smoothing technology so as to reduce the influence on analysis.
As a preferred embodiment of the present invention, the security management module includes:
an identity authentication module for confirming the identity of team members and allowing members to log in to a plurality of related systems using a set of credentials in the systems;
the role management module is used for distributing the members to different roles, each role has specific authority, and the access control module is connected with the identity authentication module and the project scheduling module;
the authority management module defines the operation and access resources which can be executed by each member, and the authority management module is connected with the role management module;
the password management module is used for defining and forcing password complexity rules and providing a member password safety resetting mechanism, and the password management module is connected with the identity authentication module.
As a preferred embodiment of the present invention, the system further includes a monitoring and logging module, where the monitoring and logging module includes a system monitoring module for monitoring the running states of the application and the infrastructure, and a logging module for logging system operations and events.
A software development management method based on big data comprises the following steps:
s1, collecting, recording and managing user demands through a demand management module, analyzing the demands, then designating a project plan through a project scheduling module, distributing tasks to team members according to the project plan, and communicating the team members through a team cooperation module;
s2, team members enter the system through the security management module and execute tasks distributed by the project scheduling module;
and S3, monitoring the system performance through a performance monitoring module so as to identify and solve the performance bottleneck, and collecting data generated in the development process by a data processing module and processing and analyzing the collected data.
The foregoing has shown and described the basic principles, principal features and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the above-described embodiments, and that the above-described embodiments and descriptions are only preferred embodiments of the present invention, and are not intended to limit the invention, and that various changes and modifications may be made therein without departing from the spirit and scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (8)
1. A big data based software development management system, comprising:
the demand management module is used for collecting, recording and managing the demands of users and analyzing the demands;
the project scheduling module is used for making a project plan according to the requirements and distributing tasks, and is connected with the requirement management module;
the team cooperation module is used for providing a cooperation tool among team members, tracking and recording communication between the interior and the exterior of the team, and is connected with the project scheduling module;
the performance monitoring module is used for monitoring the performance of the system, identifying and solving performance bottlenecks and providing optimization suggestions based on big data analysis;
the data processing module is used for collecting data generated in the development process and processing and analyzing the collected data;
and the security management module is used for managing user identity verification and authorization, tracking security events of the system and accessing records of the system and data.
2. The big data based software development management system of claim 1, wherein the requirement management module comprises:
the system comprises a demand collection module, a demand collection module and a storage module, wherein the demand collection module is used for providing an online form for users to fill in and submit demands, and the demand collection module allows the demands to be imported from other systems and files;
the demand analysis module is used for classifying demands according to the priority standard, evaluating the demands and determining the complexity, the influence range and the priority of the demands, and is connected with the demand collection module;
the change management module is used for recording the change history of the requirement, including the reason, time and responsible person of the change, and setting the approval flow of the change requirement;
the feedback management module is used for collecting suggestions and problems proposed by a user and analyzing user feedback, and is connected with the demand analysis module;
the document management module is used for managing documents related to requirements and allowing other related documents to be associated with specific requirements;
the demand notification module is used for automatically sending notification and reminding, and is connected with the demand collection module, the change management module and the feedback management module.
3. The big data based software development management system of claim 2, wherein the requirement analysis module comprises:
the demand definition module is used for classifying and sorting the collected user demands and distinguishing core demands from secondary demands, and is connected with the demand collection module;
the demand verification module is used for checking whether the demand is comprehensive and accurate and has no contradiction, and is connected with the demand definition module;
the demand priority module is used for setting priorities for different demands according to the service value and urgency, and is connected with the demand verification module;
and the quality standard module is used for setting the quality standard which needs to be achieved by the system and establishing a measurement standard.
4. The big data based software development management system of claim 1, wherein the data processing module comprises:
the data cleaning module is used for processing the original data and is connected with the demand management module;
the data conversion module is used for converting the data processed by the data cleaning module into a format suitable for analysis, and the data conversion module is connected with the data cleaning module;
the data storage module is used for establishing a data warehouse, storing the data processed by the data conversion module into the data warehouse, and connecting the data storage module with the data conversion module;
the data analysis module is used for analyzing the data in the data storage module through a statistical method and is connected with the data storage module.
5. The big data based software development management system of claim 4, wherein the data cleansing module comprises:
the abnormal value processing module is used for identifying abnormal values in the data through a statistical method and marking and processing the identified abnormal values;
the missing value processing module is used for checking whether missing values exist in the data through the statistical indexes and filling the missing values through an interpolation method;
the repeated value processing module is used for checking whether repeated records exist in the data and deleting the checked repeated values;
and the noise processing module is used for identifying noise data caused by errors and processing the noise data through a smoothing technology.
6. The big data based software development management system of claim 1, wherein the security management module comprises:
an identity authentication module for confirming the identity of team members and allowing members to log in to a plurality of related systems using a set of credentials in the systems;
the role management module is used for distributing the members to different roles, each role has specific authority, and the access control module is connected with the identity authentication module and the project scheduling module;
the authority management module defines the operation and access resources which can be executed by each member, and the authority management module is connected with the role management module;
the password management module is used for defining and forcing password complexity rules and providing a member password safety resetting mechanism, and the password management module is connected with the identity authentication module.
7. The big data based software development management system of claim 1, wherein: the system also comprises a monitoring and logging module, wherein the monitoring and logging module comprises a system monitoring module and a logging module, the system monitoring module is used for monitoring the running states of the application programs and the infrastructure, and the logging module is used for logging system operation and events.
8. A software development management method based on big data, which is characterized in that the method is applied to the software development management system based on big data as claimed in claims 1-7, and comprises the following steps:
s1, collecting, recording and managing user demands through a demand management module, analyzing the demands, then designating a project plan through a project scheduling module, distributing tasks to team members according to the project plan, and communicating the team members through a team cooperation module;
s2, team members enter the system through the security management module and execute tasks distributed by the project scheduling module;
and S3, monitoring the system performance through a performance monitoring module so as to identify and solve the performance bottleneck, and collecting data generated in the development process by a data processing module and processing and analyzing the collected data.
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