MIRAGE: Metadata-Integrated Repository Analysis and Guided Enhancement for MSR Datasets
This paper proposes an improved approach to the analysis of Mining Software Repositories (MSR) datasets via metadata enrichment, FAIRness assessment, and topic-driven analysis. This research expands upon an earlier dataset directory created specifically for the analysis of MSR datasets by adding new annotations to the datasets, enriching the metadata categories, and offering more advanced filtering options. The metadata of the MSR papers presented from 2013 to 2024 has been gathered using the Semantic Scholar API. The analysis is based on Latent Dirichlet Allocation (LDA) topic modeling and statistical analysis. Dataset-level attributes were included into the expanded dataset directory, n...
| Authors | Aabia Ather, Muhammad Usayd Ather, Qurat-Ul-Ain Somroo et al. |
|---|---|
| Primary category | cs.IR |
| Published | 29 May 2026 |
| Last updated at source | 29 May 2026 |
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