Toxic Code Snippets on Stack Overflow
arXiv:1806.07659 · doi:10.1109/TSE.2019.2900307
Abstract
Online code clones are code fragments that are copied from software projects or online sources to Stack Overflow as examples. Due to an absence of a checking mechanism after the code has been copied to Stack Overflow, they can become toxic code snippets, e.g., they suffer from being outdated or violating the original software license. We present a study of online code clones on Stack Overflow and their toxicity by incorporating two developer surveys and a large-scale code clone detection. A survey of 201 high-reputation Stack Overflow answerers (33% response rate) showed that 131 participants (65%) have ever been notified of outdated code and 26 of them (20%) rarely or never fix the code. 138 answerers (69%) never check for licensing conflicts between their copied code snippets and Stack Overflow's CC BY-SA 3.0. A survey of 87 Stack Overflow visitors shows that they experienced several issues from Stack Overflow answers: mismatched solutions, outdated solutions, incorrect solutions, and buggy code. 85% of them are not aware of CC BY-SA 3.0 license enforced by Stack Overflow, and 66% never check for license conflicts when reusing code snippets. Our clone detection found online clone pairs between 72,365 Java code snippets on Stack Overflow and 111 open source projects in the curated Qualitas corpus. We analysed 2,289 non-trivial online clone candidates. Our investigation revealed strong evidence that 153 clones have been copied from a Qualitas project to Stack Overflow. We found 100 of them (66%) to be outdated, of which 10 were buggy and harmful for reuse. Furthermore, we found 214 code snippets that could potentially violate the license of their original software and appear 7,112 times in 2,427 GitHub projects.
arXiv commentIEEE Transactions on Software Engineering (Early Access)
References in corpus (2)
Cited by in corpus (12)
- Review: Deep Learning in Electron Microscopy
- An Empirical Study of Obsolete Answers on Stack Overflow
- LLMs and Stack Overflow Discussions: Reliability, Impact, and Challenges
- Enhancing Python Compiler Error Messages via Stack Overflow
- Exploring Research Interest in Stack Overflow -- A Systematic Mapping Study and Quality Evaluation
- Paradoxes of Openness and Trans Experiences in Open Source Software
- Automatic API Usage Scenario Documentation from Technical Q&A Sites
- On Using Stack Overflow Comment-Edit Pairs to recommend code maintenance changes
- Software Development During COVID-19 Pandemic: an Analysis of Stack Overflow and GitHub
- Executability of Python Snippets in Stack Overflow
- \texttt{code::proof}: Prepare for \emph{most} weather conditions
- An Exploratory Study on the Repeatedly Shared External Links on Stack Overflow