Software Engineering Research Artifact Survey and Publication Analysis

153 software engineering researchers participated in a survey on artifact sharing challenges. This replication package includes the survey instrument and a dataset analyzing artifacts in software engineering publications, supporting the paper published in Empirical Software Engineering. The data was created by Christopher S. Timperley of Carnegie Mellon University.

Use Cases

• Analyze challenges in artifact creation and sharing based on survey responses from 153 researchers.
• Study the quality and prevalence of research artifacts based on the analysis of software engineering publications.
• Investigate mismatched expectations between artifact creators, users, and reviewers as described in the study.
• Apply the Diffusion of Innovations framework to understand factors affecting artifact success as mentioned in the abstract.

Strengths

• Includes survey data from 153 software engineering researchers, providing a substantial sample size.
• Associated with a peer-reviewed publication in Empirical Software Engineering, indicating academic rigor.
• Archived on Zenodo with a persistent DOI (10.5281/zenodo.4737346), ensuring long-term availability.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for specific analyses.
• Last update date is unknown; freshness unverified.

Provenance

Source

Christopher S. Timperley, Carnegie Mellon University

Collection Method

Mixed-methods study including a survey of software engineering publications and an online survey of researchers.