Diagnosable Code Duplication in Introductory Programming

被引：0

作者：

Rechtackova, Anna ^{[1
]}

Pelanek, Radek ^{[1
]}

机构：

[1] Masaryk Univ, Brno, Czech Republic

来源：

PROCEEDINGS OF THE 56TH ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION, SIGCSE TS 2025, VOL 2 | 2025年

关键词：

code quality; !text type='Python']Python[!/text; novice programmers; automated feedback; duplicate code;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Code quality is an important aspect of programming education, with duplicate code being a common issue. To help students learn to avoid code duplication, it is useful to provide them with actionable, specific feedback, not just a generic code duplication warning. In this paper, we introduce the concept of diagnosable code duplication, provide an overview of its various types, and propose a framework for automatic detection. We apply the framework to an introductory programming dataset to demonstrate its ability to provide specific feedback and reveal non-trivial differences in detected cases compared to simpler detectors.

引用

页码：987 / 993

页数：7

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