
This dataset contains boundary candidates generated using the SETBVE framework for automated boundary value exploration. The data covers 10 software under test (SUTs), each accepting integer inputs and varying in behavior. The boundary candidates were discovered by SETBVE’s search process, which applies Quality-Diversity (QD) optimization to uncover input pairs that highlight behavioral transitions in the tested programs. For implementation details and replication instructions, please refer to the GitHub repository: https://github.com/aksabina/SETBVE/tree/main
Software Validation
Software Validation
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
