Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-20868
Publication type: Article in scientific journal
Type of review: Peer review (publication)
Title: Toward a technical debt conceptualization for serverless computing
Authors: Lenarduzzi, Valentina
Daly, Jeremy
Martini, Antonio
Panichella, Sebastiano
Tamburri, Damian Andrew
et. al: No
DOI: 10.1109/MS.2020.3030786
10.21256/zhaw-20868
Published in: IEEE Software
Issue Date: 2020
Publisher / Ed. Institution: IEEE
ISSN: 0740-7459
1937-4194
Language: English
Subjects: Technical Debt; Serverless Computing
Subject (DDC): 004: Computer science
Abstract: Serverless 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.
Further 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.
URI: https://digitalcollection.zhaw.ch/handle/11475/20868
Fulltext version: Accepted version
License (according to publishing contract): Licence according to publishing contract
Departement: School of Engineering
Organisational Unit: Institute of Applied Information Technology (InIT)
Appears in collections:Publikationen School of Engineering

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