Name
Abstract | ||
|---|---|---|
We present AS-CDG, a novel automatic scalable system for data-driven coverage-directed generation. The goal of AS-CDG is to find the test templates that maximize the probability of hitting uncovered events. The system contains two phases, one for a coarse-grained search that finds relevant parameters and the other for a fine-grained search for the settings of these parameters. To overcome the lack... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.23919/DATE51398.2021.9474160 | 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE) |
Keywords | DocType | ISBN |
Program processors | Conference | 978-3-9819263-5-4 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Raviv Gal | 1 | 0 | 0.34 |
| Eldad Haber | 2 | 45 | 3.37 |
| Wesam Ibraheem | 3 | 0 | 0.34 |
| Brian Irwin | 4 | 0 | 0.34 |
| Ziv Nevo | 5 | 57 | 4.86 |
| Avi Ziv | 6 | 465 | 72.49 |