activity
20182024
most citedpsc2code: Denoising Code Extraction from Programming Screencasts

26 citations · 38 across the 2 of their papers we have counts for

collaborators
Showing cs.SEShow all

5 papers · 1 filter

cs.SE2024

Towards Better Comprehension of Breaking Changes in the NPM Ecosystem

Dezhen Kong, Jiakun Liu, Lingfeng Bao +1

Breaking changes cause a lot of effort to both downstream and upstream developers: downstream developers need to adapt to breaking changes and upstream developers are responsible f…

cs.SE202212 cited

Code Smells in Machine Learning Systems

Jiri Gesi, Siqi Liu, Jiawei Li +6

As Deep learning (DL) systems continuously evolve and grow, assuring their quality becomes an important yet challenging task. Compared to non-DL systems, DL systems have more compl…

cs.SE202126 cited

psc2code: Denoising Code Extraction from Programming Screencasts

Lingfeng Bao, Zhenchang Xing, Xin Xia +3

In this paper, we propose an approach named psc2code to denoise the process of extracting source code from programming screencasts. First, psc2code leverages the Convolutional Neur…

cs.SE2020

How does Working from Home Affect Developer Productivity? -- A Case Study of Baidu During COVID-19 Pandemic

Lingfeng Bao, Tao Li, Xin Xia +3

Nowadays, working from home (WFH) has become a popular work arrangement due to its many potential benefits for both companies and employees (e.g., increasing job satisfaction and r…

cs.SE2018

On Reliability of Patch Correctness Assessment

Xuan Bach D. Le, Lingfeng Bao, David Lo +2

Current state-of-the-art automatic software repair (ASR) techniques rely heavily on incomplete specifications, e.g., test suites, to generate repairs. This, however, may render ASR…