Status Quo and Problems of Requirements Engineering for Machine Learning: Results from an International Survey

Antonio Pedro Santos Alves, Marcos Kalinowski, Görkem Giray, Daniel Méndez 0001, Niklas Lavesson, Kelly Azevedo, Hugo Villamizar, Tatiana Escovedo, Hélio Lopes 0001, Stefan Biffl, Jürgen Musil, Michael Felderer, Stefan Wagner 0001, Maria Teresa Baldassarre, Tony Gorschek. Status Quo and Problems of Requirements Engineering for Machine Learning: Results from an International Survey. In Regine Kadgien, Andreas Jedlitschka, Andrea Janes, Valentina Lenarduzzi, Xiaozhou Li 0002, editors, Product-Focused Software Process Improvement - 24th International Conference, PROFES 2023, Dornbirn, Austria, December 10-13, 2023, Proceedings, Part I. Volume 14483 of Lecture Notes in Computer Science, pages 159-174, Springer, 2023. [doi]

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