CN113835682A - Distributed software development platform integrating crowd intellectualization, ecology and servitization and implementation method thereof - Google Patents
Distributed software development platform integrating crowd intellectualization, ecology and servitization and implementation method thereof Download PDFInfo
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Abstract
The invention discloses a distributed software development platform integrating crowd intellectualization, ecology and servitization and an implementation method thereof. The software development platform comprises a business service layer and a data service layer, wherein the business service layer is used for an online service combination system development mode; the data service layer is used for providing required data for all departments of the system ecology. The invention is used for solving the problem of low development efficiency in the field of software development.
Description
Technical Field
The invention belongs to the field of software development; in particular to a distributed software development platform fusing crowd intellectualization, ecology and servitization and an implementation method thereof.
Background
Group intelligence is used as a general problem solving method and is widely applied to solving various complex problems in the software development process, and at present, the method based on group intelligence adopted in software development mainly comprises crowdsourcing and sourcing. Crowdsourcing refers to the action taken by a company or organization, once fulfilled by an employee, and outsourced to an undefined (usually large) human network in the form of open-phone calls. In other words, Crowdsourcing (crowdsouring) in software development means that customers seek services from a voluntary online community, rather than traditional employees or vendors.
Open source software has become an important cultural and economic phenomenon, and the number of open source software items is also growing rapidly. Many software systems developed by commercial companies are also released under open source licenses. The open source community is used as a network platform for source code release, and plays an important promoting role in the development of open source software. Human crowd intelligence has demonstrated a very strong ability to solve problems in existing crowd-intelligence-based software engineering.
Disclosure of Invention
The invention discloses a distributed software development platform integrating crowd intellectualization, ecology and servitization and an implementation method thereof, which are used for solving the problem of low development efficiency in the field of software development.
The invention is realized by the following technical scheme:
the distributed software development platform integrating crowd intellectualization, ecology and servitization comprises a business service layer and a data service layer, wherein the business service layer is used for an online service combination system development mode;
the data service layer is used for providing required data for all departments of the system ecology.
Furthermore, the business service layer comprises an open source community, a cloud development platform, a COSINE Robot COSINE Robot, crowdsourcing, team management, project management, progress management and project review, wherein the crowdsourcing, the team management, the project management, the progress management, the project review and the cloud development platform are formed, signals are transmitted in two directions between the open source community and the platform business flow module, and signals are transmitted in two directions between the COSINE Robot COSINE Robot and the platform business flow module.
Further, the data service layer comprises a service library, a knowledge library and a data storage module, the data storage module transmits data to the service library and the knowledge library, and the service library and the knowledge library transmit data to an open source community, a platform service flow module and a COSINE Robot COSINE Robot.
Further, the business service layer comprises an open source community, a cloud development platform, a COSINE Robot COSINE Robot and crowdsourcing;
the crowdsourcing is the main entrance of the system when the system is used for users;
the open source community is responsible for introducing the liveness of the rich project resource guarantee system in the open source community;
the cloud development platform is a core module for the system to realize online crowd intellectualized software coding and development;
the COSINE Robot COSINE Robot provides a powerful auxiliary support for project crowdsourcing and cloud software development from the perspective of machine intelligence;
furthermore, the data service layer comprises a service library, a knowledge library and a data storage module;
the service library provides storage capacity for service components and a service combination system required in the software development process;
the knowledge base provides knowledge accumulation capacity for the development of the crowd-sourcing software;
the data storage is independently deployed into one service, and a uniform data operation mode is provided for each service module on the upper layer.
The implementation method of the distributed software development platform integrating crowd intellectualization, ecology and servitization comprises client implementation, wherein the client implementation is a single-page application driven by Vue, namely a popular progressive JavaScript frame for constructing a user interface; vue focus on the work of viewing layers; componentization is a method mainly adopted by a system in the process of developing a client, and common parts in a page are modularized into universal components; element UI is used as a set of UI component library which is realized by adopting Vue 2.0.0 as a basic framework and is used for constructing required components as basic styles; vuex is used for managing application states, solving the problem of cross-component communication and serving as a data storage center of a front end; the client comprises login registration, a project publisher, a project manager, homepages of review experts and project developers, a console and a series of sub-function user interfaces; the front end interacts with services deployed on different tomcats in the back-end service layer through HTTP requests, and obtains services and knowledge data obtained by the service layer from data increase.
Further, the implementation method further comprises a service layer implementation, wherein the service layer implementation is based on a service cluster constructed by dubbo; the use of Dubbo allows the unified management of the division of the individual services into consumers and providers; the provider service provides general data access capability, and the consumer calls a remote interface provided by the provider through RPC; providing a set of uniform RESTful API for each service of a consumer, and calling services running on different servers at the back end by a front-end page through HTTP requests; the consumers in the service layer mainly comprise crowdsourcing, team management, project management, process management, project review and cloud development as main services, and the services in the providers provide the unified introduction capability for open source community resources, a COSINE Robot intelligent algorithm, services and knowledge.
Furthermore, the implementation method also comprises a data layer implementation, wherein the data layer implementation mainly comprises two warehouses, a service library and a knowledge library; the service warehouse is realized on the basis of gitlab and is used for storing and managing a plurality of service components and combined service systems generated by the cloud development platform and projects introduced by the open source community; the knowledge warehouse is realized based on MySQL and MongoDB and is used for storing data and knowledge generated in the whole process of developing the crowd-sourcing software and recording the evolution process of the knowledge;
the system realizes content display and authority management based on roles at a client and a server respectively; at a client, the system divides each function based on the user role; the system comprises a project publisher, a developer, a project manager and a review expert at present; and the user completes identity authentication through redis to acquire access authority.
The invention has the beneficial effects that:
the invention can optimize the solving process of the complex problem of the software engineering.
The invention combines machine intelligence to effectively improve software development efficiency.
The invention effectively improves open source ecology.
The invention integrates the knowledge service base, avoids repeatedly manufacturing wheels and enhances the innovation capability.
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FIG. 1 is a schematic diagram of the platform structure of the present invention.
FIG. 2 is a flow chart of the method of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Cosinechu is based on the implementation of web applications. The web application is a distributed multi-layer system and can be divided into a client side and a server side in the whole. For the service end, the service end adopts the SOA framework, so that the service end can be further roughly divided into two types of services of consumers and providers. MongoDB and Mysql are used to store knowledge data of the system, and GITLAB is used to store service data of the system.
The distributed software development platform integrating crowd intellectualization, ecology and servitization comprises a business service layer and a data service layer, wherein the business service layer is used for an online service combination system development mode;
the data service layer is used for providing required data for all departments of the system ecology.
Furthermore, the business service layer comprises an open source community, a cloud development platform, a COSINE Robot COSINE Robot, crowdsourcing, team management, project management, progress management and project review, wherein the crowdsourcing, the team management, the project management, the progress management, the project review and the cloud development platform are formed, signals are transmitted in two directions between the open source community and the platform business flow module, and signals are transmitted in two directions between the COSINE Robot COSINE Robot and the platform business flow module.
Further, the data service layer comprises a service library, a knowledge library and a data storage module, the data storage module transmits data to the service library and the knowledge library, and the service library and the knowledge library transmit data to an open source community, a platform service flow module and a COSINE Robot COSINE Robot.
Further, the business service layer comprises an open source community, a cloud development platform, a COSINE Robot COSINE Robot and crowdsourcing;
the crowdsourcing is the main entrance of the system when the system is used for users;
the open source community is responsible for introducing the liveness of the rich project resource guarantee system in the open source community;
the cloud development platform is a core module for the system to realize online crowd intellectualized software coding and development;
the COSINE Robot COSINE Robot provides a powerful auxiliary support for project crowdsourcing and cloud software development from the perspective of machine intelligence;
furthermore, the data service layer comprises a service library, a knowledge library and a data storage module;
the service library provides storage capacity for service components and a service combination system required in the software development process;
the knowledge base provides knowledge accumulation capacity for the development of the crowd-sourcing software;
the data storage is independently deployed into one service, and a uniform data operation mode is provided for each service module on the upper layer.
The implementation method of the distributed software development platform integrating crowd intellectualization, ecology and servitization comprises client implementation, wherein the client implementation is a single-page application driven by Vue, namely a popular progressive JavaScript frame for constructing a user interface; vue focus on the work of the viewing layer, so that it can be easily integrated with each service interface in the service layer; componentization is a method mainly adopted by a system in the process of developing a client, and common parts in a page are modularized into universal components; element UI is used as a set of UI component library which is realized by adopting Vue 2.0.0 as a basic framework and is used for constructing required components as basic styles; vuex is used for managing application states, solving the problem of cross-component communication and serving as a data storage center of a front end; the client comprises login registration, a project publisher, a project manager, homepages of review experts and project developers, a console and a series of sub-function user interfaces; the front end interacts with services deployed on different tomcats in the back-end service layer through HTTP requests, and obtains services and knowledge data obtained by the service layer from data increase.
Further, the implementation method further comprises a service layer implementation, wherein the service layer implementation is based on a service cluster constructed by dubbo; dubbo is a high-performance Java RPC architecture, and is used as a registration center in cooperation with zookeeper, so that the functions of interface agent-oriented RPC calling, service registration and discovery, load balancing, fault tolerance, expansion and the like can be realized; the use of Dubbo allows the unified management of the division of the individual services into consumers and providers; the provider service provides general data access capability, and the consumer calls a remote interface provided by the provider through RPC; providing a set of uniform RESTful API for each service of a consumer, and calling services running on different servers at the back end by a front-end page through HTTP requests; the consumers in the service layer mainly comprise crowdsourcing, team management, project management, process management, project review and cloud development as main services, and the services in the providers provide the unified introduction capability for open source community resources, a COSINE Robot intelligent algorithm, services and knowledge.
Furthermore, the implementation method also comprises a data layer implementation, wherein the data layer implementation mainly comprises two warehouses, a service library and a knowledge library; the service warehouse is realized on the basis of gitlab and is used for storing and managing a plurality of service components and combined service systems generated by the cloud development platform and projects introduced by the open source community; the knowledge warehouse is realized based on MySQL and MongoDB and is used for storing data and knowledge generated in the whole process of developing the crowd-sourcing software and recording the evolution process of the knowledge;
in order to optimize user experience and facilitate system data management, the system realizes role-based content display and authority management at a client and a server respectively; at a client, the system divides each function based on the user role; the system comprises a project publisher, a developer, a project manager and a review expert at present; and the user completes identity authentication through redis to acquire access authority.
The way each role participates is as follows:
project publishers mainly use the publishing requirements and the internal recruitment function in the crowdsourcing module as initiators and acceptors of crowdsourced projects.
Developers mainly use process management and cloud development modules as main participants in completing crowdsourcing projects.
Project managers mainly use team management and project management modules as managers of project completion teams.
The review expert primarily uses the project review module as the reviewer to which the external expert is invited as the project.
At the server side, the background management system is used as an independent service, and data management of COSINEUHB is realized through authority management based on roles. The system comprises a super manager and an administrator, wherein the authority specifically comprises the following roles:
the administrator can view real-time statistics of the platform. The ecology of the COSINEHUB system can be governed by the functions of customer management, operation management, service sharing management, system organization management, user role management, right resource management and log record.
The hypervisor is set by system default. On the basis of the authority of the administrator, the addition and deletion and authority management can be carried out on the account number of the administrator.
The use of platforms is based on a crowdsourcing form. Firstly, a project publisher publishes a project, a project manager organizes project developers to participate in project bidding after a team is established, the project publisher selects a team according to team performance, and a bid winning team enters a project research and development link. The project manager arranges tasks for each developer, the developers finish the tasks and then click to finish the tasks, and the developers can develop projects by means of the cloud development platform. And when the project is finished, the project manager performs click delivery on the platform, the project publisher can perform project review by means of third-party review, and the project delivery can be completed after the review is finished.
Claims (8)
1. The distributed software development platform integrating crowd intellectualization, ecology and servitization is characterized by comprising a business service layer and a data service layer, wherein the business service layer is used for an online service combination system development mode;
the data service layer is used for providing required data for all departments of the system ecology.
2. The distributed software development platform integrating crowd sourcing, ecological and service according to claim 1, wherein the service layer includes an open source community, a cloud development platform, a COSINE Robot, a crowd sourcing, a team management, a project management, a progress management and a project review, the crowd sourcing, the team management, the project management, the progress management, the project review and the cloud development platform constitute, signals are transmitted in two directions between the open source community and a platform service flow module, and signals are transmitted in two directions between the COSINE Robot, the COSINE Robot and the platform service flow module.
3. The distributed software development platform integrating crowd sourcing, ecological and service according to claim 1, wherein the data service layer comprises a service library, a knowledge library and a data storage module, the data storage module transmits data to the service library and the knowledge library, and the service library and the knowledge library transmit data to an open source community, a platform business process module and a COSINE Robot COSINE Robot.
4. The distributed software development platform integrating crowd sourcing, ecologization, and servings according to claim 1, wherein said business services layer comprises open source community, cloud development platform, COSINE Robot COSINE Robot, crowd sourcing;
the crowdsourcing is the main entrance of the system when the system is used for users;
the open source community is responsible for introducing the liveness of the rich project resource guarantee system in the open source community;
the cloud development platform is a core module for the system to realize online crowd intellectualized software coding and development;
the COSINE Robot COSINE Robot provides strong auxiliary support for project crowdsourcing and cloud software development from the perspective of machine intelligence.
5. The distributed converged crowd sourcing, ecologized and serviced software development platform of claim 1, wherein said data services layer comprises a services repository, a knowledge repository and a data storage module;
the service library provides storage capacity for service components and a service combination system required in the software development process;
the knowledge base provides knowledge accumulation capacity for the development of the crowd-sourcing software;
the data storage is independently deployed into one service, and a uniform data operation mode is provided for each service module on the upper layer.
6. The method for implementing a distributed software development platform integrating crowd sourcing, ecologizing and serving according to any one of claims 1-5, wherein the implementation method comprises a client implementation, wherein the client implementation is a single-page application driven by Vue, namely a popular progressive JavaScript framework for constructing a user interface; vue focus on the work of viewing layers; componentization is a method mainly adopted by a system in the process of developing a client, and common parts in a page are modularized into universal components; element UI is used as a set of UI component library which is realized by adopting Vue 2.0.0 as a basic framework and is used for constructing required components as basic styles; vuex is used for managing application states, solving the problem of cross-component communication and serving as a data storage center of a front end; the client comprises login registration, a project publisher, a project manager, homepages of review experts and project developers, a console and a series of sub-function user interfaces; the front end interacts with services deployed on different tomcats in the back-end service layer through HTTP requests, and obtains services and knowledge data obtained by the service layer from data increase.
7. The method for implementing a distributed software development platform integrating crowd sourcing, ecologizing and serving according to any one of claims 1-5, wherein the implementation method further comprises a service layer implementation, wherein the service layer implementation is based on a service cluster constructed by dubbo; the use of Dubbo allows the unified management of the division of the individual services into consumers and providers; the provider service provides general data access capability, and the consumer calls a remote interface provided by the provider through RPC; providing a set of uniform RESTful API for each service of a consumer, and calling services running on different servers at the back end by a front-end page through HTTP requests; the consumers in the service layer mainly comprise crowdsourcing, team management, project management, process management, project review and cloud development as main services, and the services in the providers provide the unified introduction capability for open source community resources, a COSINE Robot intelligent algorithm, services and knowledge.
8. The method for implementing a distributed software development platform integrating crowd sourcing, ecologization and servitization according to any one of claims 1-5, further comprising a data layer implementation, wherein the data layer implementation mainly comprises two warehouses, a service library and a knowledge library; the service warehouse is realized on the basis of gitlab and is used for storing and managing a plurality of service components and combined service systems generated by the cloud development platform and projects introduced by the open source community; the knowledge warehouse is realized based on MySQL and MongoDB and is used for storing data and knowledge generated in the whole process of developing the crowd-sourcing software and recording the evolution process of the knowledge;
the system realizes content display and authority management based on roles at a client and a server respectively; at a client, the system divides each function based on the user role; the system comprises a project publisher, a developer, a project manager and a review expert at present; and the user completes identity authentication through redis to acquire access authority.
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| CN109271142A (en) * | 2018-07-24 | 2019-01-25 | 武汉空心科技有限公司 | Exploitation cloud platform based on template component |
| CN113031922A (en) * | 2021-03-09 | 2021-06-25 | 广东金赋科技股份有限公司 | Intelligent service system for hall informatization |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2013072925A2 (en) * | 2011-09-19 | 2013-05-23 | Tata Consultancy Services Limited | A computing platform for development and deployment of sensor data based applications and services |
| CN107295077A (en) * | 2017-06-16 | 2017-10-24 | 深圳易嘉恩科技有限公司 | Distributed cloud platform system based on micro services framework |
| CN109271142A (en) * | 2018-07-24 | 2019-01-25 | 武汉空心科技有限公司 | Exploitation cloud platform based on template component |
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