Issue-Commit Traceability Datasets

Traceability dataset that consists of issue commit pairs This dataset contains a collection of issue–commit pairs from software projects, annotated for the presence or absence of traceability links. These links indicate whether a specific commit is associated with resolving a particular issue, as commonly tracked in systems such as GitHub, Jira, or Bugzilla. The dataset combines samples from three sources: LinkFormer Dataset (LinkFormer: Automatic Contextualised Link Recovery of Software Artifacts in a Cross-Project Setting) 20-MAD Dataset (OSF | 20-MAD: Mozilla Apache Dataset) Carikado Dataset (a manually curated small-scale dataset from the author's past projects) Each data entry includes metadata and textual features extracted from: Issues: summary, description, type, status, creation date Commits: commit message, diff, file names, authoring date Labels are binary: 1 indicates that a traceability link exists between the issue and the commit. 0 indicates no such link. This dataset was used to fine-tune several pretrained language models (e.g., BERT, RoBERTa) for binary classification and was further analyzed using Explainable AI techniques (LIME and SHAP) to interpret feature importance.