Name
Abstract | ||
|---|---|---|
Two key design characteristics of machine learning (ML) systems—their ever-improving nature, and learning-based emergent functional behavior—create a moving target, posing new challenges for authoring/maintaining functional regression tests. We identify four specific challenges and address them by developing a new general methodology to automatically author and maintain tests. In particular, we us... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICSE-SEIP52600.2021.00049 | 2021 IEEE/ACM 43rd International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP) |
Keywords | DocType | ISBN |
Systematics,Perturbation methods,Computer bugs,Production,Software,Testing,Software engineering | Conference | 978-1-6654-3869-8 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Junjie Zhu | 1 | 6 | 5.29 |
| Teng Long | 2 | 0 | 0.34 |
| Atif Memon | 3 | 0 | 0.34 |