7 citations · 9 across the 5 of their papers we have counts for
5 papers
Chat-like Asserts Prediction with the Support of Large Language Model
Han Wang, Han Hu, Chunyang Chen +1
Unit testing is an essential component of software testing, with the assert statements playing an important role in determining whether the tested function operates as expected. Al…
What do AI/ML practitioners think about AI/ML bias?
Aastha Pant, Rashina Hoda, Burak Turhan +1
AI leaders and companies have much to offer to AI/ML practitioners to support them in addressing and mitigating biases in the AI/ML systems they develop. AI/ML practitioners need t…
Navigating Fairness: Practitioners' Understanding, Challenges, and Strategies in AI/ML Development
Aastha Pant, Rashina Hoda, Chakkrit Tantithamthavorn +1
The rise in the use of AI/ML applications across industries has sparked more discussions about the fairness of AI/ML in recent times. While prior research on the fairness of AI/ML…
Beyond Accuracy: An Empirical Study on Unit Testing in Open-source Deep Learning Projects
Han Wang, Sijia Yu, Chunyang Chen +2
Deep Learning (DL) models have rapidly advanced, focusing on achieving high performance through testing model accuracy and robustness. However, it is unclear whether DL projects, a…
Software Engineers Response to Public Crisis: Lessons Learnt from Spontaneously Building an Informative COVID-19 Dashboard
Han Wang, Chao Wu, Chunyang Chen +3
The Coronavirus disease 2019 (COVID-19) outbreak quickly spread around the world, resulting in over 240 million infections and 4 million deaths by Oct 2021. While the virus is spre…