2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.SE2022★ 1 cited
Test suite effectiveness metric evaluation: what do we know and what should we do?
Peng Zhang, Yang Wang, Xutong Liu +6
Comparing test suite effectiveness metrics has always been a research hotspot. However, prior studies have different conclusions or even contradict each other for comparing differe…
cs.SE2021
Mutant reduction evaluation: what is there and what is missing?
Peng Zhang, Yang Wang, Xutong Liu +6
Background. Many mutation reduction strategies, which aim to reduce the number of mutants, have been proposed. Problem. It is important to measure the ability of a mutation reducti…
cs.LG2019★ 2 cited
From Data Quality to Model Quality: an Exploratory Study on Deep Learning
Tianxing He, Shengcheng Yu, Ziyuan Wang +2
Nowadays, people strive to improve the accuracy of deep learning models. However, very little work has focused on the quality of data sets. In fact, data quality determines model q…