activity
20222024
most citedBoosting GUI Prototyping with Diffusion Models

15 citations · 47 across the 6 of their papers we have counts for

collaborators

6 papers

cs.SE2024★ 6 cited

Getting Inspiration for Feature Elicitation: App Store- vs. LLM-based Approach

Jialiang Wei, Anne-Lise Courbis, Thomas Lambolais +4

Over the past decade, app store (AppStore)-inspired requirements elicitation has proven to be highly beneficial. Developers often explore competitors' apps to gather inspiration fo…

cs.HC2024★ 1 cited

On AI-Inspired UI-Design

Jialiang Wei, Anne-Lise Courbis, Thomas Lambolais +2

Graphical User Interface (or simply UI) is a primary mean of interaction between users and their devices. In this paper, we discuss three complementary Artificial Intelligence (AI)…

cs.SE2024★ 13 cited

GUing: A Mobile GUI Search Engine using a Vision-Language Model

Jialiang Wei, Anne-Lise Courbis, Thomas Lambolais +4

Graphical User Interfaces (GUIs) are central to app development projects. App developers may use the GUIs of other apps as a means of requirements refinement and rapid prototyping…

cs.CL2023★ 12 cited

Zero-shot Bilingual App Reviews Mining with Large Language Models

Jialiang Wei, Anne-Lise Courbis, Thomas Lambolais +3

App reviews from app stores are crucial for improving software requirements. A large number of valuable reviews are continually being posted, describing software problems and expec…

cs.SE2023★ 15 cited

Boosting GUI Prototyping with Diffusion Models

Jialiang Wei, Anne-Lise Courbis, Thomas Lambolais +3

GUI (graphical user interface) prototyping is a widely-used technique in requirements engineering for gathering and refining requirements, reducing development risks and increasing…

cs.CL2022

Towards a Data-Driven Requirements Engineering Approach: Automatic Analysis of User Reviews

Jialiang Wei, Anne-Lise Courbis, Thomas Lambolais +3

We are concerned by Data Driven Requirements Engineering, and in particular the consideration of user's reviews. These online reviews are a rich source of information for extractin…