Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-4969
Title: A mixed-method empirical study of Function-as-a-Service software development in industrial practice
Authors : Leitner, Philipp
Wittern, Erik
Spillner, Josef
Hummer, Waldemar
Published in : Journal of Systems and Software
Volume(Issue) : 149
Pages : 340
Pages to: 359
Publisher / Ed. Institution : Elsevier
Issue Date: 2019
License (according to publishing contract) : Licence according to publishing contract
Type of review: Peer review (Publication)
Language : English
Subject (DDC) : 005: Computer programming, programs and data
Abstract: Function-as-a-Service (FaaS) describes cloud computing services that make infrastructure components transparent to application developers, thus falling in the larger group of “serverless” computing models. When using FaaS offerings, such as AWS Lambda, developers provide atomic and short-running code for their functions, and FaaS providers execute and horizontally scale them on-demand. Currently, there is no systematic research on how developers use serverless, what types of applications lend themselves to this model, or what architectural styles and practices FaaS-based applications are based on. We present results from a mixed-method study, combining interviews with practitioners who develop applications and systems that use FaaS, a systematic analysis of grey literature, and a Web-based survey. We find that successfully adopting FaaS requires a different mental model, where systems are primarily constructed by composing pre-existing services, with FaaS often acting as the “glue” that brings these services together. Tooling availability and maturity, especially related to testing and deployment, remains a major difficulty. Further, we find that current FaaS systems lack systematic support for function reuse, and abstractions and programming models for building non-trivial FaaS applications are limited. We conclude with a discussion of implications for FaaS providers, software developers, and researchers.
Departement: School of Engineering
Organisational Unit: Institute of Applied Information Technology (InIT)
Publication type: Article in scientific Journal
DOI : 10.1016/j.jss.2018.12.013
10.21256/zhaw-4969
ISSN: 0164-1212
1873-1228
URI: https://digitalcollection.zhaw.ch/handle/11475/14313
Other identifiers : PeerJ Preprints 6:e27005v1
Appears in Collections:Publikationen School of Engineering

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