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ORCID1st WAIN@ICSE 2021: Madrid, Spain
- 1st IEEE/ACM Workshop on AI Engineering - Software Engineering for AI, WAIN@ICSE 2021, Madrid, Spain, May 30-31, 2021. IEEE 2021, ISBN 978-1-6654-4470-5
- Armin Catovic
, Carolyn Cartwright, Yasmin Tesfaldet Gebreyesus, Simone Ferlin:
Linnaeus: A highly reusable and adaptable ML based log classification pipeline. 11-18 - Tinghui Ouyang, Vicent Sanz Marco, Yoshinao Isobe, Hideki Asoh, Yutaka Oiwa, Yoshiki Seo:
Corner Case Data Description and Detection. 19-26 - Roger Creus Castanyer, Silverio Martínez-Fernández, Xavier Franch:
Integration of Convolutional Neural Networks in Mobile Applications. 27-34 - Bart van Oort, Luis Cruz, Maurício Aniche, Arie van Deursen:
The Prevalence of Code Smells in Machine Learning projects. 35-42 - Juha-Pekka Joutsenlahti, Timo Lehtonen, Mikko Raatikainen, Elina Kettunen, Tommi Mikkonen:
Challenges and Governance Solutions for Data Science Services based on Open Data and APIs. 43-46 - Petra Heck, Gerard Schouten:
Lessons Learned from Educating AI Engineers. 47-50 - Matteo Camilli, Michael Felderer, Andrea Giusti, Dominik T. Matt, Anna Perini, Barbara Russo, Angelo Susi:
Towards Risk Modeling for Collaborative AI. 51-54 - Luigi Lavazza, Sandro Morasca:
Understanding and Modeling AI-Intensive System Development. 55-61 - Miroslaw Staron, Helena Odenstedt Hergés, Silvana Naredi, Linda Block, Ali El-Merhi, Richard Vithal, Mikael Elam:
Robust Machine Learning in Critical Care - Software Engineering and Medical Perspectives. 62-69 - Yuanhao Xie, Luis Cruz, Petra Heck, Jan S. Rellermeyer:
Systematic Mapping Study on the Machine Learning Lifecycle. 70-73 - Qunying Song, Emelie Engström, Per Runeson:
Concepts in Testing of Autonomous Systems: Academic Literature and Industry Practice. 74-81 - Tuomas Granlund, Aleksi Kopponen, Vlad Stirbu, Lalli Myllyaho, Tommi Mikkonen:
MLOps Challenges in Multi-Organization Setup: Experiences from Two Real-World Cases. 82-88 - Hans-Martin Heyn, Eric Knauss, Amna Pir Muhammad, Olof Eriksson, Jennifer Linder, Padmini Subbiah, Shameer Kumar Pradhan, Sagar Tungal:
Requirement Engineering Challenges for AI-intense Systems Development. 89-96 - Alex Serban, Koen van der Blom, Holger H. Hoos, Joost Visser:
Practices for Engineering Trustworthy Machine Learning Applications. 97-100 - Milan Unger:
Data acquisition and the implications of machine learning in the development of a Clinical Decision Support system. 101-104 - Hergys Rexha, Sébastien Lafond:
Data Collection and Utilization Framework for Edge AI Applications. 105-108 - Sasu Mäkinen, Henrik Skogström, Eero Laaksonen, Tommi Mikkonen:
Who Needs MLOps: What Data Scientists Seek to Accomplish and How Can MLOps Help? 109-112 - Sophia J. Abraham, Zachariah Carmichael, Sreya Banerjee, Rosaura G. VidalMata, Ankit Agrawal, Md Nafee Al Islam, Walter J. Scheirer, Jane Cleland-Huang:
Adaptive Autonomy in Human-on-the-Loop Vision-Based Robotics Systems. 113-120 - Henry Muccini, Karthik Vaidhyanathan:
Software Architecture for ML-based Systems: What Exists and What Lies Ahead. 121-128 - Filippo Lanubile, Fabio Calefato, Luigi Quaranta, Maddalena Amoruso, Fabio Fumarola, Michele Filannino:
Towards Productizing AI/ML Models: An Industry Perspective from Data Scientists. 129-132 - Grace A. Lewis, Stephany Bellomo, Ipek Ozkaya:
Characterizing and Detecting Mismatch in Machine-Learning-Enabled Systems. 133-140 - Akriti Chadda, Kelly Song, Raman Chandrasekar, Ian Gorton:
Engineering an Intelligent Essay Scoring and Feedback System: An Experience Report. 141-144
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