Question bank modeling method and system based on domain-driven design

Abstract

The present invention provides a question bank modeling method and system based on domain-driven design. The method comprises: performing architecture partitioning on a question bank system by using a domain-driven technique to obtain a domain layer, an application layer and infrastructure layers; performing domain modeling on the domain layer according to topics, courses and answering records in the question bank system by using a domain layer modeling tool so as to obtain a domain model; according to data characteristics of the domain model, determining correspnoding storage databases of the infrastructure layers on the basis of a preset strategy; and according to types of data stored in the infrastructure layers, storing different types of stored data in the corresponding storage databases. According to the present invention, a reusable and robust question bank model architecture can be constructed, features of various types of databases and reasonable applicable scenes are utilized to the greatest extent, effective and efficient storage of various types of data is implemented, the system design architecture is simplified, and extensibility of system distribution is improved.

Description

technical field [0001] The invention relates to the technical field of data modeling, in particular to a domain-driven design-based question bank modeling method and system. Background technique [0002] The establishment of the test question bank is to follow certain educational theories and use computer technology to generate an organic combination of all knowledge points of some test questions and courses covering a certain subject. For the modeling of the test question bank, people often think that the data of the question type is standardized and the interaction is simple, and the object modeling process is ignored. [0003] At present, the design and implementation of most of the question bank systems are based on relational data-oriented data modeling. The prior art mainly has the following problems: [0004] 1. Data-oriented modeling method, lack of derivative relationship between objects, and poor code reuse; [0005] 2. With the continuous increase in the type a...

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Problems solved by technology

[0004] 1. Data-oriented modeling method, lack of derivative relationship between objects, and poor code reuse;

[0005] 2. With the continuous increase in the type and quantity of questions, the continuous personalized needs of users, and the increasingly frequent interaction with external systems, the adaptability, scalability, and maintainability of data modeling and relational database storage are facing challenges. It cannot adapt well to the constant changes in question types and business needs;

[0006] 3. Relational databases have a natural resistance to object-oriented design, which makes the data model unable to efficiently restore the association and inheritance relationship in the process of object modeling;

[0007] 4. Cross-table and joint-table queries are increasing. To query a complete set of questions, it is necessary to aggregate the data of multiple tables, and an additional structure is required to store the correspondence between question types and tables

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