1 citations · 1 across the 5 of their papers we have counts for
5 papers
MobileUPReg: Identifying User-Perceived Performance Regressions in Mobile OS Versions
Wei Liu, Yi Wen Heng, Feng Lin +3
Mobile operating systems (OS) are frequently updated, but such updates can unintentionally degrade user experience by introducing performance regressions. Existing detection techni…
Screencast-Based Analysis of User-Perceived GUI Responsiveness
Wei Liu, Linqiang Guo, Yi Wen Heng +4
GUI responsiveness is critical for a positive user experience in mobile applications. Even brief delays in visual feedback can frustrate users and lead to negative reviews. However…
An empirical study of testing machine learning in the wild
Moses Openja, Foutse Khomh, Armstrong Foundjem +4
Recently, machine and deep learning (ML/DL) algorithms have been increasingly adopted in many software systems. Due to their inductive nature, ensuring the quality of these systems…
On the Model Update Strategies for Supervised Learning in AIOps Solutions
Yingzhe Lyu, Heng Li, Zhen Ming +2
AIOps (Artificial Intelligence for IT Operations) solutions leverage the massive data produced during the operation of large-scale systems and machine learning models to assist sof…
Technical Report: Bundling Linked Data Structures for Linearizable Range Queries
Jacob Nelson-Slivon, Ahmed Hassan, Roberto Palmieri
We present bundled references, a new building block to provide linearizable range query operations for highly concurrent lock-based linked data structures. Bundled references allow…