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20162025
most citedNo More Fine-Tuning? An Experimental Evaluation of Prompt Tuning in Code Intelligence

148 citations · 827 across the 63 of their papers we have counts for

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Showing 2020Show all

12 papers · 1 filter

cs.SE2020★ 49 cited

CRaDLe: Deep Code Retrieval Based on Semantic Dependency Learning

Wenchao Gu, Zongjie Li, Cuiyun Gao +4

Code retrieval is a common practice for programmers to reuse existing code snippets in open-source repositories. Given a user query (i.e., a natural language description), code ret…

cs.SE2020★ 87 cited

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.SE2020★ 2 cited

Do Users Care about Ad's Performance Costs? Exploring the Effects of the Performance Costs of In-App Ads on User Experience

Cuiyun Gao, Jichuan Zeng, Federica Sarro +3

Context: In-app advertising is the primary source of revenue for many mobile apps. The cost of advertising (ad cost) is non-negligible for app developers to ensure a good user expe…

cs.SE2020★ 3 cited

Automating App Review Response Generation Based on Contextual Knowledge

Cuiyun Gao, Wenjie Zhou, Xin Xia +3

User experience of mobile apps is an essential ingredient that can influence the audience volumes and app revenue. To ensure good user experience and assist app development, severa…

cs.SE2020★ 9 cited

Emerging App Issue Identification via Online Joint Sentiment-Topic Tracing

Cuiyun Gao, Jichuan Zeng, Zhiyuan Wen +4

Millions of mobile apps are available in app stores, such as Apple's App Store and Google Play. For a mobile app, it would be increasingly challenging to stand out from the enormou…

cs.CY2020

An Empirical Study of In-App Advertising Issues Based on Large Scale App Review Analysis

Cuiyun Gao, Jichuan Zeng, David Lo +3

In-app advertising closely relates to app revenue. Reckless ad integration could adversely impact app reliability and user experience, leading to loss of income. It is very challen…

cs.SE2020★ 49 cited

A Deep Dive on the Impact of COVID-19 in Software Development

Paulo Anselmo da Mota Silveira Neto, Umme Ayda Mannan, Eduardo Santana de Almeida +5

Context: COVID-19 pandemic has impacted different business sectors around the world. Objective. This study investigates the impact of COVID-19 on software projects and software dev…

cs.CL2020

CoreGen: Contextualized Code Representation Learning for Commit Message Generation

Lun Yiu Nie, Cuiyun Gao, Zhicong Zhong +3

Automatic generation of high-quality commit messages for code commits can substantially facilitate software developers' works and coordination. However, the semantic gap between so…

cs.SE2020★ 42 cited

On the Replicability and Reproducibility of Deep Learning in Software Engineering

Chao Liu, Cuiyun Gao, Xin Xia +3

Deep learning (DL) techniques have gained significant popularity among software engineering (SE) researchers in recent years. This is because they can often solve many SE challenge…

cs.CR2020★ 8 cited

Why an Android App is Classified as Malware? Towards Malware Classification Interpretation

Bozhi Wu, Sen Chen, Cuiyun Gao +4

Machine learning (ML) based approach is considered as one of the most promising techniques for Android malware detection and has achieved high accuracy by leveraging commonly-used…

cs.SE2020

Automating App Review Response Generation

Cuiyun Gao, Jichuan Zeng, Xin Xia +3

Previous studies showed that replying to a user review usually has a positive effect on the rating that is given by the user to the app. For example, Hassan et al. found that respo…

cs.CL2020★ 1 cited

What Changed Your Mind: The Roles of Dynamic Topics and Discourse in Argumentation Process

Jichuan Zeng, Jing Li, Yulan He +3

In our world with full of uncertainty, debates and argumentation contribute to the progress of science and society. Despite of the increasing attention to characterize human argume…