Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Pimentel, João Felipe"'
Autor:
Nesbitt, Andrew, Veytsman, Boris, Mietchen, Daniel, Brown, Eva Maxfield, Howison, James, Pimentel, João Felipe, Hèbert-Dufresne, Laurent, Druskat, Stephan
Despite the importance of scientific software for research, it is often not formally recognized and rewarded. This is especially true for foundation libraries, which are used by the software packages visible to the users, being ``hidden'' themselves.
Externí odkaz:
http://arxiv.org/abs/2404.06672
Computational thinking, and by extension, computer programming, is notoriously challenging to learn. Conversational agents and generative artificial intelligence (genAI) have the potential to facilitate this learning process by offering personalized
Externí odkaz:
http://arxiv.org/abs/2311.06887
Autor:
Santos, Fabio, Vargovich, Joseph, Trinkenreich, Bianca, Santos, Italo, Penney, Jacob, Britto, Ricardo, Pimentel, João Felipe, Wiese, Igor, Steinmacher, Igor, Sarma, Anita, Gerosa, Marco A.
Publikováno v:
Empirical Software Engineering (EMSE), 2023
Labeling issues with the skills required to complete them can help contributors to choose tasks in Open Source Software projects. However, manually labeling issues is time-consuming and error-prone, and current automated approaches are mostly limited
Externí odkaz:
http://arxiv.org/abs/2304.02877
Autor:
Santos, Italo, Pimentel, João Felipe, Wiese, Igor, Steinmacher, Igor, Sarma, Anita, Gerosa, Marco A.
Publikováno v:
45th IEEE/ACM International Conference on Software Engineering, Software Engineering in Society (ICSE SEIS 2023)
Social coding platforms such as GitHub have become defacto environments for collaborative programming and open source. When these platforms do not support specific cognitive styles, they create barriers to programming for some populations. Research s
Externí odkaz:
http://arxiv.org/abs/2301.10912
Autor:
Mourão, Erica, Pimentel, João Felipe, Murta, Leonardo, Kalinowski, Marcos, Mendes, Emilia, Wohlin, Claes
Context: When conducting a Systematic Literature Review (SLR), researchers usually face the challenge of designing a search strategy that appropriately balances result quality and review effort. Using digital library (or database) searches or snowbal
Externí odkaz:
http://arxiv.org/abs/2004.09741
Autor:
Santos, Fabio, Penney, Jacob, Pimentel, João Felipe, Wiese, Igor, Steinmacher, Igor, Gerosa, Marco
Selecting an appropriate task is challenging for newcomers to Open Source Software (OSS) projects. To facilitate task selection, researchers and OSS projects have leveraged machine learning techniques, historical information, and textual analysis to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::133e564134dc38da698ef29177557586
Autor:
Santos, Fabio, Vargovich, Joseph, Trinkenreich, Bianca, Santos, Italo, Penney, Jacob, Britto, Ricardo, Pimentel, João Felipe, Wiese, Igor, Steinmacher, Igor, Sarma, Anita, Gerosa, Marco A.
Labeling issues with the skills required to complete them can help contributors to choose tasks in Open Source Software projects. However, manually labeling issues is time-consuming and error-prone, and current automated approaches are mostly limited
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c72161b5f8e139752bccbed71a1f0fa
Autor:
PIMENTEL, JOÃO FELIPE1 jpimentel@ic.uff.br, FREIRE, JULIANA2 juliana.freire@nyu.edu, MURTA, LEONARDO3 leomurta@ic.uff.br, BRAGANHOLO, VANESSA3 vanessa@ic.uff.br
Publikováno v:
ACM Computing Surveys. May2020, Vol. 52 Issue 3, p1-38. 38p. 1 Black and White Photograph, 7 Diagrams, 7 Charts, 2 Graphs.
Akademický článek
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Akademický článek
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