Downloads provided by UsageCounts
This dataset contains information about 13,762,430 commits by 461 bots, each of whom have created more than 1000 commits, that have committed code in Git. The data is stored in a gzipped csv file (";" as the separator) with the following format in each line: "author_id"; "commit-sha"; "time-of-the-commit"; "timezone"; "files-modified-by-the-commit"; "projects-the-commit-is-associated-with"; "commit-message". In the case of having multiple projects and/or files for a given commit, they are separated by ','. These bots were detected using the BIMAN bot detection approach using the World of Code(http://worldofcode.org/) dataset. For details of the approach, see the corresponding paper in MSR 2020. If you're using this data for your research, please don't forget to cite it!!!
Bots, Code Commits, Bot Characterization, Random Forest, Heuristics
Bots, Code Commits, Bot Characterization, Random Forest, Heuristics
| 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 | 70 | |
| downloads | 20 |

Views provided by UsageCounts
Downloads provided by UsageCounts