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dc.contributor.authorNguyen-Duc, Anh
dc.contributor.authorAbrahamsson, Pekka
dc.contributor.editorDevanbu, Prem
dc.contributor.editorCohen, Myra
dc.contributor.editorZimmermann, Thomas
dc.date.accessioned2021-02-03T10:56:05Z
dc.date.available2021-02-03T10:56:05Z
dc.date.issued2020
dc.identifier.citationNguyen-Duc, A., & Abrahamsson, P. (2020). Continuous experimentation on artificial intelligence software : a research agenda. In P. Devanbu, M. Cohen, & T. Zimmermann (Eds.), <i>ESEC/FSE 2020: Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering</i> (pp. 1513-1516). ACM. <a href="https://doi.org/10.1145/3368089.3417039" target="_blank">https://doi.org/10.1145/3368089.3417039</a>
dc.identifier.otherCONVID_46991595
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/73961
dc.description.abstractMoving 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.en
dc.format.extent1707
dc.format.mimetypeapplication/pdf
dc.languageeng
dc.language.isoeng
dc.publisherACM
dc.relation.ispartofESEC/FSE 2020: Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering
dc.rightsIn Copyright
dc.subject.otherartificial intelligence
dc.subject.othersoftware
dc.titleContinuous experimentation on artificial intelligence software : a research agenda
dc.typeconferenceObject
dc.identifier.urnURN:NBN:fi:jyu-202102031411
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosFaculty of Information Technologyen
dc.contributor.oppiaineTietojärjestelmätiedefi
dc.contributor.oppiaineInformation Systems Scienceen
dc.type.urihttp://purl.org/eprint/type/ConferencePaper
dc.relation.isbn978-1-4503-7043-1
dc.type.coarhttp://purl.org/coar/resource_type/c_5794
dc.description.reviewstatuspeerReviewed
dc.format.pagerange1513-1516
dc.type.versionacceptedVersion
dc.rights.copyright© 2020 the Authors and ACM
dc.rights.accesslevelopenAccessfi
dc.relation.conferenceACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering
dc.subject.ysotekoäly
dc.subject.ysotutkimustoiminta
dc.subject.ysoohjelmistotuotanto
dc.subject.ysoohjelmistokehitys
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p2616
jyx.subject.urihttp://www.yso.fi/onto/yso/p2040
jyx.subject.urihttp://www.yso.fi/onto/yso/p17097
jyx.subject.urihttp://www.yso.fi/onto/yso/p21530
dc.rights.urlhttp://rightsstatements.org/page/InC/1.0/?language=en
dc.relation.doi10.1145/3368089.3417039
dc.type.okmA4


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