1999Unpublished venueRequires access

Implementation Method of Program Visualization in Data Structure CAI

Meng Hui-yun

Open publisher page 0 citations

Abstract

Program visualization is a new research field in computer science. In this paper, the taxonomy of program visualization is used to design a conversation method, which converts the traditional algorithms of data structure to visualization algorithms. By employing the proposed method, some dynamic simulation algorithms are implemented.

About this research paper

What this paper is about

Program visualization is a new research field in computer science. In this paper, the taxonomy of program visualization is used to design a conversation method, which converts the traditional algorithms of data structure to visualization algorithms. By employing the proposed method, some dynamic simulation algorithms are implemented.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Program visualization is a new research field in computer science. In this paper, the taxonomy of program visualization is used to design a conversation method, which converts the traditional algorithms of data structure to visualization algorithms. By employing the proposed method, some dynamic simulation algorithms are implemented.

Key concepts: Visualization, Computer science, Data visualization, Field (mathematics), Information visualization, Data structure, Data mining, Human–computer interaction

Related papers

Back to paper searchBrowse research topicsOriginal source
Implementation Method of Program Visualization in Data Structure CAI — Research Paper | ScholarLens