A method for establishing relationships among bugs, commits, and relevant personnel
A technology for establishing methods and personnel, applied in the fields of still image data indexing, instrumentation, error detection/correction, etc., can solve problems such as inefficiency, increased complexity, and lack of commit and technical personnel information, to solve performance degradation, Addressing the effect of performance regressions
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0021] Technical thinking of the present invention is:
[0022] Establishing a graph database, storing bugs, commits, and personnel information in the form of nodes and connecting interrelated nodes can effectively solve this problem. A graph database is a non-relational database that uses graph theory to store relational information between entities. One of the most common examples is the relationship between people in a social network. The effect of relational databases on storing "relational" data is not good, and its queries are complex, slow, and beyond expectations, and the unique design of graph databases just makes up for this defect. neo4j is a graph database. Graph data is stored in the mode of nodes and edges (relationships). Each node can contain a series of information. The node information is stored through the setProperty() method in the Node class. Node can also use the createRelationshipTo() method to realize the connection between a node and other nodes, a...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More 


