collaborators

9 papers

cs.AI2026

How Well Can AI Generate Backlogs from App Mockups?

Andrea Lezcano Airaldi, Lourdes Romera, Walid Maalej

Creating sprint backlogs requires considerable effort, as items such as epics, user stories, and tasks can be missed or inconsistently specified. We propose a multimodal approach t…

cs.AI2026

From Overload to Insights: How AI Agents Can Support Scientists in Analyzing Complex Data

Tim Fuchs, Luca Gelisio, Steffen Hauf +1

Scientists at European XFEL conduct experiments that generate very large and complex datasets. The subsequent data analysis is challenging as scientists must combine their domain e…

cs.SE2026

LikeThis! Empowering App Users to Submit UI Improvement Suggestions Instead of Complaints

Jialiang Wei, Ali Ebrahimi Pourasad, Walid Maalej

User feedback is crucial for the evolution of mobile apps. However, research suggests that users tend to submit uninformative, vague, or destructive feedback. Unlike recent AI4SE a…

cs.SE2026

FeedAIde: Guiding App Users to Submit Rich Feedback Reports by Asking Context-Aware Follow-Up Questions

Ali Ebrahimi Pourasad, Meyssam Saghiri, Walid Maalej

User feedback is essential for the success of mobile apps, yet what users report and what developers need often diverge. Research shows that users often submit vague feedback and o…

cs.SE2026

On Fun for Teaching Large Programming Courses

Walid Maalej

Teaching software development basics to hundreds of students in a frontal setting is cost-efficient and thus still common in universities. However, in a large lecture hall, student…

cs.SE2026

Smells Depend on the Context: An Interview Study of Issue Tracking Problems and Smells in Practice

Lloyd Montgomery, Clara Lüders, Christian Rahe +1

Issue Tracking Systems (ITSs) enable software developers and managers to collect and resolve issues collaboratively. While researchers have extensively analysed ITS data to automat…