A4 Article in conference proceedings
Continuous experimentation on artificial intelligence software : a research agenda (2020)
Nguyen-Duc, A., & Abrahamsson, P. (2020). Continuous experimentation on artificial intelligence software : a research agenda. In P. Devanbu, M. Cohen, & T. Zimmermann (Eds.), ESEC/FSE 2020: Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering (pp. 1513-1516). ACM. https://doi.org/10.1145/3368089.3417039
JYU authors or editors
Publication details
All authors or editors: Nguyen-Duc, Anh; Abrahamsson, Pekka
Parent publication: ESEC/FSE 2020: Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering
Parent publication editors: Devanbu, Prem; Cohen, Myra; Zimmermann, Thomas
Place and date of conference: Virtual Event USA, November, 2020
ISBN: 978-1-4503-7043-1
Publication year: 2020
Pages range: 1513-1516
Number of pages in the book: 1707
Publisher: ACM
Place of Publication: New York
Publication country: United States
Publication language: English
DOI: https://doi.org/10.1145/3368089.3417039
Publication open access: Not open
Publication channel open access:
Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/73961
Abstract
Moving from experiments to industrial level AI software development requires a shift from understanding AI/ ML model attributes as a standalone experiment to know-how integrating and operating AI models in a large-scale software system. It is a growing demand for adopting state-of-the-art software engineering paradigms into AI development, so that the development efforts can be aligned with business strategies in a lean and fast-paced manner. We describe AI development as an “unknown unknown” problem where both business needs and AI models evolve over time. We describe a holistic view of an iterative, continuous approach to develop industrial AI software basing on business goals, requirements and Minimum Viable Products. From this, five areas of challenges are presented with the focus on experimentation. In the end, we propose a research agenda with seven questions for future studies.
Keywords: software development; software engineering; artificial intelligence; research activity
Free keywords: artificial intelligence; software
Contributing organizations
Ministry reporting: Yes
Reporting Year: 2020
JUFO rating: 1