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This replication kit is a combination of multiple datasets and repositories needed to replicate our results. - smartshark-mongodb-rel1.gz is the dump of the MongoDB which contains the repositories of all study subjects and all metrics and static analysis warnings collected via SmartSHARK. - Gierlappen-1.0.0.tar.gz is the mining tool which extracts fine-grained just-in-time defect prediction data from the repositories and the MongoDB. The current version can be found here. - icsme2020_mining_data.zip contains the extracted data from Gierlappen. - icsme_2020_replication_kit-1.0.0.tar.gz contains the Jupyter Notebooks to train and evaluate the models used in the paper, it also contains all code to generate plots and the cost model evaluation. Also available here. To reproduce the models and evaluations used in the paper you only need icsme_2020_replication_kit-1.0.0.tar.gz and icsme2020_mining_data.zip. Everything is explained in the README which is also available online.
| 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). | 1 | |
| 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 | 5 |

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