SEFeb 23, 2021

MSR Mining Challenge: The SmartSHARK Repository Mining Data

arXiv:2102.11540v24 citations
AI Analysis

This provides a comprehensive data resource for software engineering researchers, but it is incremental as it builds on existing repository mining efforts.

The paper introduces the SmartSHARK repository mining dataset, which aggregates diverse software project evolution data including changes, issues, CI, and pull requests with annotations and links, enabling research on multi-source and longitudinal questions.

The SmartSHARK repository mining data is a collection of rich and detailed information about the evolution of software projects. The data is unique in its diversity and contains detailed information about each change, issue tracking data, continuous integration data, as well as pull request and code review data. Moreover, the data does not contain only raw data scraped from repositories, but also annotations in form of labels determined through a combination of manual analysis and heuristics, as well as links between the different parts of the data set. The SmartSHARK data set provides a rich source of data that enables us to explore research questions that require data from different sources and/or longitudinal data over time.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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