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Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-20868
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dc.contributor.authorLenarduzzi, Valentina-
dc.contributor.authorDaly, Jeremy-
dc.contributor.authorMartini, Antonio-
dc.contributor.authorPanichella, Sebastiano-
dc.contributor.authorTamburri, Damian Andrew-
dc.date.accessioned2020-11-19T10:51:15Z-
dc.date.available2020-11-19T10:51:15Z-
dc.date.issued2020-
dc.identifier.issn0740-7459de_CH
dc.identifier.issn1937-4194de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/20868-
dc.description​© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.de_CH
dc.description.abstractServerless computing aims at reducing processing and operational units to single event-driven functions for service orchestration and choreography. With its micro-granular architectural characteristics, serverless computing is bound to face considerable architectural issues and challenges in the medium- and long-term; are these bound to become Technical Debt? As known to many, technical debt is a metaphor that reflects the additional long-run project costs connected to immediately-expedient but unsavvy technical decisions. However, what does technical debt mean and how is it expressed in serverless computing and other hybrid compute models? This article represents the first attempt to conceptualize Technical Debt in such a context; we base our arguments over a technical overview of serverless computing concepts and practices and elaborate on them via empirical inquiry. Our results suggest that higher serviceability of serverless technologies is also characterized by the absence of mechanisms to support an adequate maintainability, testability, and monitoring of serverless systems. Indeed, in case of unexpected behaviours, testing and maintenance activities are more complex and more expensive, as mainly based on non-automated, manual tasks.de_CH
dc.language.isoende_CH
dc.publisherIEEEde_CH
dc.relation.ispartofIEEE Softwarede_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectTechnical Debtde_CH
dc.subjectServerless Computingde_CH
dc.subject.ddc004: Informatikde_CH
dc.titleToward a technical debt conceptualization for serverless computingde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Informatik (InIT)de_CH
dc.identifier.doi10.1109/MS.2020.3030786de_CH
dc.identifier.doi10.21256/zhaw-20868-
zhaw.funding.euNode_CH
zhaw.issue1de_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end47de_CH
zhaw.pages.start40de_CH
zhaw.publication.statusacceptedVersionde_CH
zhaw.volume38de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.webfeedSoftware Systemsde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
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Lenarduzzi, V., Daly, J., Martini, A., Panichella, S., & Tamburri, D. A. (2020). Toward a technical debt conceptualization for serverless computing. IEEE Software, 38(1), 40–47. https://doi.org/10.1109/MS.2020.3030786
Lenarduzzi, V. et al. (2020) ‘Toward a technical debt conceptualization for serverless computing’, IEEE Software, 38(1), pp. 40–47. Available at: https://doi.org/10.1109/MS.2020.3030786.
V. Lenarduzzi, J. Daly, A. Martini, S. Panichella, and D. A. Tamburri, “Toward a technical debt conceptualization for serverless computing,” IEEE Software, vol. 38, no. 1, pp. 40–47, 2020, doi: 10.1109/MS.2020.3030786.
LENARDUZZI, Valentina, Jeremy DALY, Antonio MARTINI, Sebastiano PANICHELLA und Damian Andrew TAMBURRI, 2020. Toward a technical debt conceptualization for serverless computing. IEEE Software. 2020. Bd. 38, Nr. 1, S. 40–47. DOI 10.1109/MS.2020.3030786
Lenarduzzi, Valentina, Jeremy Daly, Antonio Martini, Sebastiano Panichella, and Damian Andrew Tamburri. 2020. “Toward a Technical Debt Conceptualization for Serverless Computing.” IEEE Software 38 (1): 40–47. https://doi.org/10.1109/MS.2020.3030786.
Lenarduzzi, Valentina, et al. “Toward a Technical Debt Conceptualization for Serverless Computing.” IEEE Software, vol. 38, no. 1, 2020, pp. 40–47, https://doi.org/10.1109/MS.2020.3030786.


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