2026-10-11T05:48:46Z https://data.mendeley.com/oai

oai:data.mendeley.com/tvn4dmdffh.1 2026-05-11T15:47:04Z

Oliveira Gomes, Adriano José AI-Assisted Empirical Software Engineering: Lessons and Methodological Guidelines from a Qualitative Study [Dataset] Mendeley Data Details about our qualitative empirical software engineering study supported by AI-assistance and performed in my doctoral research. The study conducted 18 semi-structured interviews with project managers, software engineers, designers, and testers to perform deep interpretive analyses aiming to understand their experiences and challenges in software development contracting stage at CESAR, a leading Brazilian Institute of Science and Technology focused on software-driven innovation projects. The dataset includes research questions, guide interview versions, prompts submitted to some AI-assisted tool (chatGPT, Gemini, Atlas.TI) in order to help in relevant qualitative analysis activities like refining interview guide, transcription of audio interview, coding identification over transcription, text translation and revision. Artificial Intelligence Software Engineering Empirical Study of Software Engineering Qualitative Research Generative Artificial Intelligence Dataset doi:10.17632/tvn4dmdffh.1 oai:data.mendeley.com/tvn4dmdffh.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/tvn4dmdffh 2026-05-11T15:47:04Z