Replication Package: Give an Inch and Take a Mile? Effects of Adding Reliable Knowledge to Heuristic Feature Tracing

<p>Dataset of the <strong>replication package</strong> for our paper <strong>Give an Inch and Take a Mile? Effects of Adding Reliable Knowledge to Heuristic Feature Tracing accepted </strong>at SPLC 2024 which will be published with ACM.<br>The dataset comprises</p> <ol> <li>the <strong>repositories</strong> (repos.zip) which served as subject systems for our study</li> <li>the <strong>ground truth</strong> as generated by VEVOS which we used to dertermine whether the computed feature traces are correct and to simulate the proactive traces</li> <li>the zipped source code of the <a href="https://github.com/VariantSync/trace-boosting/releases/tag/artifactSPLC2024">Github Release</a> of the comparison-based feature tracing library</li> <li>the zipped source code of the <a href="https://github.com/VariantSync/trace-boosting-eval/releases/tag/artifact-SPLC2024">Github Release</a> which implements the experiment and entire evaluation setup</li> </ol>