ESEM 2020: Session: Software Engineering for Machine Learning, Data Science, and Innovation
Session Chair: Fabio Calefato
Adoption and Effects of Software Engineering Best Practices in Machine Learning – (Technical Paper)
Alex Serban, Joost Visser, Koen van der Blom and Holger Hoos
Presenter: Alex Serban
A large-scale comparative analysis of Coding Standard conformance in Open-Source Data Science projects – (Technical Paper)
Andrew Simmons, Scott Barnett, Jessica Rivera-Villicana, Akshat Bajaj and Rajesh Vasa
Presenter: Andrew Simmons
The impact of a proposal for innovation measurement in the software industry – (Emerging Result and Vision Paper)
Nauman Bin Ali, Henry Edison and Richard Torkar
Presenter: Nauman Bin Ali
Beyond Accuracy: ROI-driven Data Analytics of Empirical Data – (Emerging Result and Vision Paper)
Gouri Deshpande and Guenther Ruhe
Presenter: Gouri Deshpande