arXiv:2611.14940v1 Announce Type: new Abstract: Curated datasets of real-world software bugs support empirical research in software testing, debugging, and automated program repair. However, exploring heterogeneous bug collections, comparing fault characteristics across projects, and constructing research-specific subsets often require manual inspection and custom scripts. We present TSBugs Explorer, an interactive visual analytics platform built upon our previously-published dataset of 633 bugs from 16 open-source TypeScript repositories, classified into 11 fault categories. The platform integrates bug records, repository characteristics, dependency information, and taxonomy guidance through coordinated visualizations, interactive filtering, and detailed bug inspection. It supports alternative aggregation and normalization of fault distributions, pairwise repository comparisons, and analysis of differences in observed fault profiles. An integrated benchmark builder allows researchers to select bug subsets using multiple criteria, inspect their composition, and export records in CSV or JSON format. We demonstrate the platform through three research workflows: fault characterization, cross-repository comparison, and task-specific benchmark construction. Functional validation by two authors confirmed selection correctness, visualization consistency, export integrity, and reproducibility across the tested workflows. By making the existing corpus easier to explore, compare, and reuse, TSBugs Explorer facilitates systematic, research-specific selection and export of TypeScript bug records.
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