Understanding The Impact of Solver Choice in Model-Based Test Generation
<p><strong># Solver Experiment - Data Package</strong></p> <p>This repository is intended to allow replication and extension of the study<br> conducted in the following paper:</p> <p>Ying Meng and Gregory Gay. Understanding The Impact of Solver Choice in Model-Based Test Generation. To appear, 2020 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM). Available from <a href="https://greg4cr.github.io/pdf/20solvers.pdf">https://greg4cr.github.io/pdf/20solvers.pdf</a>.</p> <p>This package includes all data used or generated in this experiment.<br> * Models<br> * Mutants<br> * Test Suites<br> * Execution Traces<br> * Fault-detection Results</p> <p>If you have any questions on this data, please contact us at greg@greggay.com. <br> </p>
ShareScore
28/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 0
- Engagement
- 0