Discover 4 peer-reviewed studies in Software Engineering (2022–2025). Explore research findings powered by Prolific's diverse participant panel.
This page lists 4 peer-reviewed papers in the research area of Software Engineering in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.
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Authors: S Lambiase, G Catolino, F Palomba, F Ferrucci, D Russo
Year: 2025
Published in: ACM Transactions on Software Engineering and Methodology, 2025•dl.acm.org
Institution: University of Salerno, Aalborg University
Research Area: Technology Adoption, Software Engineering Practices, Socio-Technical Research
Discipline: Computer Science, Software Engineering, Human–Computer Interaction (HCI)
The study uses survey data from software professionals and Partial Least Squares Structural Equation Modeling (PLS-SEM) to measure the role of cultural values relative to established predictors like performance expectancy and habitual use in LLM adoption.
Citations: 11
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Authors: A Alami, M Zahedi, N Ernst
Year: 2024
Published in: ArXiv
Institution: Aalborg University, University of Melbourne, University of Victoria
Research Area: Software Engineering, Online Recruitment, Human-AI Interaction
Discipline: Software Engineering
This empirical study investigates the contribution of Pretrained Language Models (PLMs), such as BERT and RoBERTa, to various components of multi-hop Question Answering (QA) tasks, focusing on evidence extraction and information aggregation.
Citations: 14
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Authors: B Reid, M Wagner, M d'Amorim, C Treude
Year: 2022
Published in: arXiv preprint arXiv ..., 2022 - arxiv.org
Institution: University of Sydney, Queen's University, University of Victoria, University of Calgary
Research Area: Software Engineering User Studies, Crowdsourcing Platforms (Prolific)
Discipline: Software Engineering, Human-Computer Interaction (HCI)
Citations: 35
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Authors: D Russo
Year: 2022
Published in: arXiv preprint arXiv:2203.14695, 2022 - arxiv.org
Institution: Università della Svizzera italiana
Research Area: Crowdsourcing, Software Engineering Research, Participant Recruitment
Discipline: Software Engineering
Citations: 30