Preliminary Results of a Survey on the Use of Self-Adaptation in Industry
Identifikátory výsledku
Kód výsledku v 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>
Nalezeny alternativní kódy
RIV/49777513:23520/22:43969132
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Preliminary Results of a Survey on the Use of Self-Adaptation in Industry
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Preliminary Results of a Survey on the Use of Self-Adaptation in Industry
Popis výsledku anglicky
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.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2022
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
SEAMS '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
Počet stran výsledku
7
Strana od-do
70-76
Název nakladatele
IEEE COMPUTER SOC
Místo vydání
LOS ALAMITOS
Místo konání akce
Pittsburgh, USA
Datum konání akce
18. 5. 2022
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
000851573900009