DSN supports open science, where authors of accepted papers are encouraged to make their tools and datasets publicly available to ensure reproducibility and replicability by other researchers. DSN 2025 offers a separate Artifact Evaluation Track for all accepted papers from all three categories of the Research Track. The goals of the artifact track are to increase confidence in a paper’s claims and results, and to facilitate future research via publicly available datasets and tools.
All submitted artifacts compete for a “Distinguished Artifact Award” that is decided by the Artifact Evaluation Committee. The award recognizes the artifact that (1) has the highest degree of reproducibility as well as ease of use and documentation, (2) allows other researchers to easily build upon the artifact’s functionality for their own research, and (3) substantially supports the claims of the paper.
For 2025, the Artifact Evaluation Committee awarded the artifact for the following paper:
Paper: Towards More Dependable Specifications: An Empirical Study Exploring the Synergy of Traditional and LLM-Based Repair Approaches
Authors: Md Rashedul Hasan (University of Nebraska-Lincoln), Mohannad Alhanahnah (University of Wisconsin-Madison), Clay Stevens (Iowa State University), Hamid Bagheri (University of Nebraska-Lincoln)
Artifact Badge: Code Reproducible (subsumes Reviewed and Available)
Artifact DOI: 10.6084/m9.figshare.28636109
Complete information on the Artifact Evaluation Track and the award can be found on the web page: https://dsn2025.github.io/cfartifacts.html