Silvia Regina Vergilio é Professora Titular da Universidade Federal do Paraná (UFPR). Conversamos com ela sobre Engenharia de Software Baseada em Busca e IA em Engenharia de Software.
https://dblp.org/pid/99/4290.html
https://scholar.google.com/citations?user=2bkThnAAAAAJ&hl=en
Citações (pessoas e artigos):
Mario Jino: https://bv.fapesp.br/pt/pesquisador/89271/mario-jino/
Mark Harman: https://en.wikipedia.org/wiki/Mark_Harman_(computer_scientist)
Christian Kästner: https://www.cs.cmu.edu/~ckaestne/
Aurora Pozo: http://www.inf.ufpr.br/aurora/
Vivek Nair, Amritanshu Agrawal, Jianfeng Chen, Wei Fu, George Mathew, Tim Menzies, Leandro L. Minku, Markus Wagner, Zhe Yu: Data-driven search-based software engineering. MSR 2018: 341-352
Mark Harman, Bryan F. Jones: Search-based software engineering. Inf. Softw. Technol. 43(14): 833-839 (2001)
COLANZI, T. E. ; ASSUNÇÃO, WESLEY K.G. ; VERGILIO, SILVIA R. ; FARAH, P. R. ; GUIZZO, G. The Symposium on Search-Based Software Engineering: Past, Present and Future. INFORMATION AND SOFTWARE TECHNOLOGY, 2020.
J. M. Zhang, M. Harman, L. Ma and Y. Liu, "Machine Learning Testing: Survey, Landscapes and Horizons," in IEEE Transactions on Software Engineering, doi: 10.1109/TSE.2019.2962027.
João Lucas Correia, Juliana Alves Pereira, Rafael de Mello, Alessandro Garcia, Baldoino Fonseca, Márcio Ribeiro, Rohit Gheyi, and Willy Tiengo. Data Scientists: Revealing their Challenges and Practices on Machine Learning Model Development. In XIX Brazilian Symposium on Software Quality (SBQS 2020), São Luis.
Christian Kästner, Eunsuk Kang: Teaching software engineering for AI-enabled systems. ICSE (SEET) 2020: 45-48
Building Intelligent Systems A Guide to Machine Learning Engineering Hulten, Geoff. author. 2018
https://ckaestne.github.io/seai/S2020/#course-content
https://ckaestne.medium.com/on-the-process-for-building-software-with-ml-components-c54bdb86db24
https://ckaestne.github.io/seai/S2020/#course-content
F. Ishikawa and N. Yoshioka, “How do engineers perceive difficulties in engineering of machine-learning systems? - Questionnaire survey,” in Joint Intl. Workshop on Conducting Empirical Studies in Industry and Intl. Workshop on Software Engineering Research and Industrial Practice (CESSER-IP), 2019
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