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Stack Overflow (SO) is the most popular question-and-answer website for software developers, providing a large amount of code snippets and free-form text on a wide variety of topics. Like other software artifacts, questions and answers on SO evolve over time, for example when bugs in code snippets are fixed, code is updated to work with a more recent library version, or text surrounding a code snippet is edited for clarity. To be able to analyze how content on SO evolves, we built SOTorrent, an open dataset based on the official SO data dump. SOTorrent provides access to the version history of SO content at the level of whole posts and individual text or code blocks. It connects SO posts to other platforms by aggregating URLs from text blocks and comments, and by collecting references from GitHub files to SO posts. Our vision is that researchers will use SOTorrent to investigate and understand the evolution of SO posts and their relation to other platforms such as GitHub. If you use this dataset in your work, please cite our MSR 2018 paper (BibTex) or our MSR 2019 mining challenge proposal.
The dataset is based on the official Stack Overflow data dump released 2019-12-02 (https://archive.org/details/stackexchange) and the Google BigQuery GitHub data set queried 2020-01-24 and last updated 2020-01-24 according to table info (https://cloud.google.com/bigquery/public-data/github). Please read the license files (LICENSE.md) before using the dataset.
software evolution, github, stack overflow, code snippets
software evolution, github, stack overflow, code snippets
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 2 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 168 | |
| downloads | 151 |

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