142 citations · 273 across the 21 of their papers we have counts for
4 papers · 1 filter
Rise of Distributed Deep Learning Training in the Big Model Era: From a Software Engineering Perspective
Xuanzhe Liu, Diandian Gu, Zhenpeng Chen +5
Deep learning (DL) has become a key component of modern software. In the "big model" era, the rich features of DL-based software substantially rely on powerful DL models, e.g., BER…
When Automated Program Repair Meets Regression Testing -- An Extensive Study on 2 Million Patches
Yiling Lou, Jun Yang, Samuel Benton +5
In recent years, Automated Program Repair (APR) has been extensively studied in academia and even drawn wide attention from industry. However, APR techniques can be extremely time…
An Empirical Study on Deployment Faults of Deep Learning Based Mobile Applications
Zhenpeng Chen, Huihan Yao, Yiling Lou +4
Deep Learning (DL) is finding its way into a growing number of mobile software applications. These software applications, named as DL based mobile applications (abbreviated as mobi…
Emojis predict dropouts of remote workers: An empirical study of emoji usage on GitHub
Xuan Lu, Wei Ai, Zhenpeng Chen +2
Emotions at work have long been identified as critical signals of work motivations, status, and attitudes, and as predictors of various work-related outcomes. When more and more em…