204 citations · 235 across the 11 of their papers we have counts for
15 papers · 1 filter
Evaluating the Impact of Explainable AI on Trust in AI-Assisted Code Review
Zhenhan Gao, Marvin Muñoz Barón, Umm-e Habiba +2
Background: Large language models (LLMs) are increasingly used to automate code review, but the reasoning behind their decisions remains hard to understand. Developers struggle to…
ReqBrain: Task-Specific Instruction Tuning of LLMs for AI-Assisted Requirements Generation
Mohammad Kasra Habib, Daniel Graziotin, Stefan Wagner
Requirements elicitation and specification remains a labor-intensive, manual process prone to inconsistencies and gaps, presenting a significant challenge in modern software engine…
Towards Emotionally Intelligent Software Engineers: Understanding Students' Self-Perceptions After a Cooperative Learning Experience
Allysson Allex Araújo, Marcos Kalinowski, Matheus Paixao +1
[Background] Emotional Intelligence (EI) can impact Software Engineering (SE) outcomes through improved team communication, conflict resolution, and stress management. SE workers f…
Overwhelmed Software Developers
Lisa-Marie Michels, Aleksandra Petkova, Marcel Richter +3
We have conducted a qualitative psychology study to explore the experience of feeling overwhelmed in the realm of software development. Through the candid confessions of two partic…
Understanding and measuring software engineer behavior: What can we learn from the behavioral sciences?
Allysson Allex Araújo, Marcos Kalinowski, Daniel Graziotin
This paper explores the intricate challenge of understanding and measuring software engineer behavior. More specifically, we revolve around a central question: How can we enhance o…
Overwhelmed software developers: An Interpretative Phenomenological Analysis
Lisa-Marie Michels, Aleksandra Petkova, Marcel Richter +3
In this paper, we report on an Interpretive Phenomenological Analysis (IPA) study on experiencing overwhelm in a software development context. The objectives of our study are, henc…