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cs.SE2024

A Survey on Web Application Testing: Over a Decade of Evolution

Tao Li, Chenhui Cui, Zhengdong Huang +5

As one of the most popular software applications, a web application is a program accessible through the web that dynamically generates content based on user interactions or context…

q-bio.QM2024

Ribonucleic-Acid Protein Interaction Prediction Based on Deep Learning: A Comprehensive Survey

Danyu Li, Rubing Huang, Chenhui Cui +4

The interaction between Ribonucleic Acids (RNAs) and proteins, also called RNA Protein Interaction (RPI), governs biological processes, including gene regulation and disease pathog…

cs.SE2024

LSem2Vec: A Simple yet Effective Two-Stage Approach for Source Code Embedding

Zixiang Xian, Chenhui Cui, Rubing Huang +2

The advent of large language models (LLMs) has significantly advanced artificial intelligence in software engineering, with source code embeddings playing a crucial role in tasks s…

cs.LG2024

Short-Term Electricity-Load Forecasting by Deep Learning: A Comprehensive Survey

Qi Dong, Rubing Huang, Chenhui Cui +4

Short-Term Electricity-Load Forecasting (STELF) refers to the prediction of the immediate demand (in the next few hours to several days) for the power system. Various external fact…

cs.SE2024

Large Language Models for Automated Web-Form-Test Generation: An Empirical Study

Tao Li, Chenhui Cui, Rubing Huang +2

Testing web forms is an essential activity for ensuring the quality of web applications. It typically involves evaluating the interactions between users and forms. Automated test-c…

cs.SE2024

Large Language Models for Mobile GUI Text Input Generation: An Empirical Study

Chenhui Cui, Tao Li, Junjie Wang +3

Mobile apps have become essential, making quality assurance increasingly important. GUI testing is widely used for automated exploration, yet text-input components remain a major o…