Preliminary Results of a Survey on the Use of Self-Adaptation in Industry

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3A10453476" target="_blank" >RIV/00216208:11320/22:10453476 - isvavai.cz</a>

Alternative codes found

RIV/49777513:23520/22:43969132

Result on the web

<a href="https://doi.org/10.1145/3524844.3528077" target="_blank" >https://doi.org/10.1145/3524844.3528077</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/3524844.3528077" target="_blank" >10.1145/3524844.3528077</a>

Result language

angličtina

Original language name

Preliminary Results of a Survey on the Use of Self-Adaptation in Industry

Original language description

Self-adaptation equips a software system with a feedback loop that automates tasks that otherwise need to be performed by operators. Such feedback loops have found their way to a variety of practical applications, one typical example is an elastic cloud. Yet, the state of the practice in self-adaptation is currently not clear. To get insights into the use of self-adaptation in practice, we are running a large-scale survey with industry. This paper reports preliminary results based on survey data that we obtained from 113 practitioners spread over 16 countries, 62 of them work with concrete self-adaptive systems. We highlight the main insights obtained so far: motivations for self-adaptation, concrete use cases, and difficulties encountered when applying self-adaptation in practice. We conclude the paper with outlining our plans for the remainder of the study.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

SEAMS &apos;22: Proceedings of the 17th Symposium on Software Engineering for Adaptive and Self-Managing Systems

ISBN

978-1-4503-9305-8

ISSN

2157-2305

e-ISSN

2157-2321

Number of pages

7

Pages from-to

70-76

Publisher name

IEEE COMPUTER SOC

Place of publication

LOS ALAMITOS

Event location

Pittsburgh, USA

Event date

May 18, 2022

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000851573900009