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A Method for Measuring of Block-based Programming Code Quality

초록

영어

The block-based programming tool is used widely for the beginner and provides several positive features compare than text-based programming language tools. To measure quality of programming code elaborately which is based script language, it is need to very tough manual process. As a result the previously research related with evaluation of block-based script code has been focused very simple methods in which normalize the number of blocks used which is related with programming concept. This study proposes the framework that can measure the quality of block-based programming script, and can analyze the level of vulnerability. At the framework, the quality metric conceptualize various programming concepts contained in block-based programming languages. In this framework, the quality metrics is constructed to structuralize implicit programming concept and then developed the quality measure and vulnerability model of script to improve level of programming. Consequently, the proposed methods enable to check of level of programming and predict the heuristic target level. The proposed method in this study was applied to the scripts derived from the scratch programming classes in Universities of Education during the last 7 years, so as to confirm the differentiation from the preceding evaluation model and studies and to verify the usefulness and superiority of the proposed model.

목차

Abstract
 1. Introduction
 2. Related Works
 3. Framework for Level Measurement and Improving Vulnerability for Block-based Programming Code
  3.1. Definition of Level Assessment Matrix
  3.2. Designing Programming Level Measurement Model
  3.3. Method for Block-based Programming Code Level Measurement
  3.4. Improving Method on Scratch Programming Level through Improving Vulnerability
 4. Application Result
  4.1. Scope of Application
  4.2. Calculation of Scratch Programming Level Measurement and Vulnerability Level
  4.3. Measurement of Programming Improvement Level Anticipated upon Improved Vulnerability
 5. Conclusions
 Author Contributions
 References

저자정보

  • Kil Young Kwon Dept. of Family Medicine, Eulji General Hospital
  • Won-Sung Sohn Dept. of Computer Education, Gyeongin National University of Education, Incheon, Korea

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