Research output per year
Research output per year
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Dive into the research topics where Marco Gerosa is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Anticipating User Needs: Insights from Design Fiction on Conversational Agents for Computational Thinking
Penney, J., Pimentel, J. F., Steinmacher, I. & Gerosa, M. A., 2024, Chatbot Research and Design - 7th International Workshop, CONVERSATIONS 2023, Revised Selected Papers. Følstad, A., Araujo, T., Papadopoulos, S., Law, E.L.-C., Luger, E., Goodwin, M., Hobert, S. & Brandtzaeg, P. B. (eds.). Springer Science and Business Media Deutschland GmbH, p. 204-219 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14524 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Can AI serve as a substitute for human subjects in software engineering research?
Gerosa, M., Trinkenreich, B., Steinmacher, I. & Sarma, A., May 2024, In: Automated Software Engineering. 31, 1, 13.Research output: Contribution to journal › Article › peer-review
Open Access4 Scopus citations -
Guidelines for Cultivating a Sense of Belonging to Reduce Developer Burnout
Trinkenreich, B., Gerosa, M. A., Steinmacher, I. & Sarma, A., 2024, (Accepted/In press) In: IEEE Software. p. 1-7 7 p.Research output: Contribution to journal › Article › peer-review
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How do annotations affect Java code readability?
Guerra, E., Gomes, E., Ferreira, J., Wiese, I., Lima, P., Gerosa, M. & Meirelles, P., May 2024, In: Empirical Software Engineering. 29, 3, 62.Research output: Contribution to journal › Article › peer-review
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How Far Are We? The Triumphs and Trials of Generative AI in Learning Software Engineering
Choudhuri, R., Liu, D., Steinmacher, I., Gerosa, M. & Sarma, A., 2024, Proceedings - 2024 ACM/IEEE 44th International Conference on Software Engineering, ICSE 2024. IEEE Computer Society, p. 2270-2282 13 p. (Proceedings - International Conference on Software Engineering).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access2 Scopus citations
Datasets
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What to expect, and how to improve online discussion forums: the instructors’ perspective
de Lima, D. P. R. (Contributor), Gerosa, M. A. (Creator), Conte, T. U. (Contributor) & de M. Netto, J. F. (Contributor), figshare, 2019
DOI: 10.6084/m9.figshare.c.4768652, https://springernature.figshare.com/collections/What_to_expect_and_how_to_improve_online_discussion_forums_the_instructors_perspective/4768652
Dataset
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MOESM2 of What to expect, and how to improve online discussion forums: the instructors’ perspective
de Lima, D. P. R. (Contributor), Gerosa, M. A. (Creator), Conte, T. U. (Contributor) & de M. Netto, J. F. (Contributor), figshare Academic Research System, 2019
DOI: 10.6084/m9.figshare.11315894.v1, https://springernature.figshare.com/articles/MOESM2_of_What_to_expect_and_how_to_improve_online_discussion_forums_the_instructors_perspective/11315894/1
Dataset
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MOESM2 of What to expect, and how to improve online discussion forums: the instructors’ perspective
de Lima, D. P. R. (Contributor), Gerosa, M. A. (Creator), Conte, T. U. (Contributor) & de M. Netto, J. F. (Contributor), figshare, 2019
DOI: 10.6084/m9.figshare.11315894, https://springernature.figshare.com/articles/MOESM2_of_What_to_expect_and_how_to_improve_online_discussion_forums_the_instructors_perspective/11315894
Dataset
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What to expect, and how to improve online discussion forums: the instructors’ perspective
de Lima, D. P. R. (Contributor), Gerosa, M. A. (Creator), Conte, T. U. (Contributor) & de M. Netto, J. F. (Contributor), figshare, 2019
DOI: 10.6084/m9.figshare.c.4768652.v1, https://springernature.figshare.com/collections/What_to_expect_and_how_to_improve_online_discussion_forums_the_instructors_perspective/4768652/1
Dataset
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Tailoring Code Smells to Model-View-Controller Architectures: Online appendix
Aniche, M. (Contributor), Bavota, G. (Contributor), Treude, C. (Contributor), Gerosa, M. A. (Contributor) & van Deursen, A. (Contributor), Zenodo, Jan 20 2017
DOI: 10.5281/zenodo.253681, https://zenodo.org/record/253681
Dataset