首个C++自述技术债数据集，助力跨语言技术债研究
Descriptor: C++ Self-Admitted Technical Debt Dataset (CppSATD)
- 构建53万+带注释的C++代码片段，标注自述技术债
- 数据量超53万条，填补C++领域技术债研究空白
- 适合软件工程、代码分析与自动化检测方向研究者
在软件开发中，技术债（TD）指开发者为应对紧急工期和资源限制而做出的次优实现选择，给后续维护带来挑战。自述技术债（SATD）是技术债的一种，指开发者明确承认的技术问题，通常以源码注释形式表达。以往关于SATD的研究主要集中在Java语言，导致跨语言研究存在明显缺口。本文通过构建专门针对C++语言的饱和数据集CppSATD，包含超过531,000个已标注的注释及其代码上下文，填补了该领域的空白。该数据集可作为未来研究的基础，用于开发C++中的技术债检测方法、推广现有发现至其他语言，或推动跨语言技术债的深入研究。
原文摘要 · Abstract (English)
In software development, technical debt (TD) refers to suboptimal implementation choices made by the developers to meet urgent deadlines and limited resources, posing challenges for future maintenance. Self-Admitted Technical Debt (SATD) is a sub-type of TD, representing specific TD instances ``openly admitted'' by the developers and often expressed through source code comments. Previous research on SATD has focused predominantly on the Java programming language, revealing a significant gap in cross-language SATD. Such a narrow focus limits the generalizability of existing findings as well as SATD detection techniques across multiple programming languages. Our work addresses such limitation by introducing CppSATD, a dedicated C++ SATD dataset, comprising over 531,000 annotated comments and their source code contexts. Our dataset can serve as a foundation for future studies that aim to develop SATD detection methods in C++, generalize the existing findings to other languages, or contribute novel insights to cross-language SATD research.
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