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Agility in Software 2.0 – Notebook Interfaces and MLOps with Buttresses and Rebars
RISE Research Institutes of Sweden, Digital Systems, Mobility and Systems. Lund University, sweden.ORCID iD: 0000-0001-7879-4371
2022 (English)In: International Conference on Lean and Agile Software DevelopmentLASD 2022: Lean and Agile Software Development pp 3-16, Springer Science and Business Media Deutschland GmbH , 2022, p. 3-16Conference paper, Published paper (Refereed)
Abstract [en]

Artificial intelligence through machine learning is increasingly used in the digital society. Solutions based on machine learning bring both great opportunities, thus coined “Software 2.0,” but also great challenges for the engineering community to tackle. Due to the experimental approach used by data scientists when developing machine learning models, agility is an essential characteristic. In this keynote address, we discuss two contemporary development phenomena that are fundamental in machine learning development, i.e., notebook interfaces and MLOps. First, we present a solution that can remedy some of the intrinsic weaknesses of working in notebooks by supporting easy transitions to integrated development environments. Second, we propose reinforced engineering of AI systems by introducing metaphorical buttresses and rebars in the MLOps context. Machine learning-based solutions are dynamic in nature, and we argue that reinforced continuous engineering is required to quality assure the trustworthy AI systems of tomorrow.

Place, publisher, year, edition, pages
Springer Science and Business Media Deutschland GmbH , 2022. p. 3-16
Keywords [en]
Computer software, Reinforcement, AI systems, Digital society, Engineering community, Essential characteristic, Experimental approaches, Integrated development environment, Machine learning models, Machine learning
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:ri:diva-58571DOI: 10.1007/978-3-030-94238-0_1Scopus ID: 2-s2.0-85123981910ISBN: 9783030942373 (electronic)OAI: oai:DiVA.org:ri-58571DiVA, id: diva2:1638933
Conference
International Conference on Lean and Agile Software Development LASD 2022: Lean and Agile Software Development 22 January 2022 through 22 January 2022
Note

Funding details: Lunds Universitet; Funding text 1: Martin Jakobsson and Johan Henriksson are the co-creators of the solution presented in Sect. 2 and deserve all credit for this work. Our thanks go to Backtick Technologies for hosting the MSc thesis project and Dr. Niklas Fors, Dept. of Computer Science, Lund University for acting as the examiner. This initiative received financial support through the AIQ Meta-Testbed project funded by Kompetensfonden at Campus Helsingborg, Lund University, Sweden and two internal RISE initiatives, i.e., ?SODA-Software & Data Intensive Applications? and ?MLOps by RISE.?

Available from: 2022-02-18 Created: 2022-02-18 Last updated: 2022-02-18Bibliographically approved

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