基于antlr的划痕特征提取与检测系统

2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC) Pub Date : 2019-06-24 DOI:10.1109/IWCMC.2019.8766735

Pai Liu, Y. Sun, Hong Luo

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引用次数: 0

摘要

Scratch作为一种青少年使用的可视化编程语言，受到了教育界的广泛关注。质量猎犬是一个有效的工具，以检测划痕的特点。但其检测规则不够完备，导致检测结果不全面。本文提出了一种基于antlr的特征提取与检测系统来解决这一问题。具体来说，我们提炼了9条新的编程特征检测规则，并将其应用到我们的模型中。实验结果表明，该系统可以有效地从项目中提取编程特征，并为学生和教师提供反馈。

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An ANTLR-based Feature Extraction and Detection System for Scratch

Scratch, a visual programming language used by youth, has received widespread attention of education field. Quality Hound is an effective tool to detect the features of Scratch. However, its detection rules are not sufficiently complete, which incurs incomprehensive results. In this paper, we propose an ANTLR-based feature extraction and detection system to solve this problem. Specifically, nine novel programming feature detection rules are abstracted and applied in our model. The experimental results show our system can effectively extract programming features from projects and provide feedback for students and teachers.

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2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC)

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