Research on Code Knowledge Map Construction and Intelligent Software Development Method Based on Association Rules

Authors

  • Gang Qiu, Jinglin Zhang, Changjun Song

Abstract

With the advent of the era of big data, both the academic and industrial circles are producing a large amount of data all the time. People's demand for analyzing valuable association information between data and data from massive data is becoming more and more intense. With the rise of data intensive scientific research paradigm, software plays an increasingly important role in scientific research, because data itself can not do anything, it depends on the processing and analysis of software tools. With the growth of software scale and the improvement of software complexity, more and more knowledge needs to be understood and mastered in the process of software development and reuse, which makes the learning cost of the reuser higher and higher. Through data analysis, data visualization and other technologies, knowledge mapping can provide us with a scientific and intuitive knowledge association to explore a certain field. This paper studies the construction of code knowledge map based on association rules, and proposes an intelligent software development method.

Published

2020-10-26

Issue

Section

Articles