activity
20202023
most citedpsc2code: Denoising Code Extraction from Programming Screencasts

26 citations · 40 across the 5 of their papers we have counts for

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7 papers · 1 filter

cs.SE2023

Towards More Realistic Evaluation for Neural Test Oracle Generation

Zhongxin Liu, Kui Liu, Xin Xia +1

Effective unit tests can help guard and improve software quality but require a substantial amount of time and effort to write and maintain. A unit test consists of a test prefix an…

cs.SE20225 cited

Defect Identification, Categorization, and Repair: Better Together

Chao Ni, Kaiwen Yang, Xin Xia +3

Just-In-Time defect prediction (JIT-DP) models can identify defect-inducing commits at check-in time. Even though previous studies have achieved a great progress, these studies sti…

cs.SE20212 cited

Smart Contract Security: a Practitioners' Perspective

Zhiyuan Wan, Xin Xia, David Lo +3

Smart contracts have been plagued by security incidents, which resulted in substantial financial losses. Given numerous research efforts in addressing the security issues of smart…

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

Opportunities and Challenges in Code Search Tools

Chao Liu, Xin Xia, David Lo +3

Code search is a core software engineering task. Effective code search tools can help developers substantially improve their software development efficiency and effectiveness. In r…

cs.SE20207 cited

Predictive Models in Software Engineering: Challenges and Opportunities

Yanming Yang, Xin Xia, David Lo +3

Predictive models are one of the most important techniques that are widely applied in many areas of software engineering. There have been a large number of primary studies that app…