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LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00003652naa a2200481 4500
001oai:DiVA.org:lnu-118132
003SwePub
008230104s2022 | |||||||||||000 ||eng|
0247 a https://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-1181322 URI
0247 a https://doi.org/10.1145/3524844.35280772 DOI
040 a (SwePub)lnu
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a kon2 swepub-publicationtype
1001 a Weyns, Dannyu Linnéuniversitetet,Institutionen för datavetenskap och medieteknik (DM),Katholieke Universiteit Leuven, Belgium,DISA;Adaptwise4 aut0 (Swepub:lnu)daweaa
2451 0a Preliminary Results of a Survey on the Use of Self-Adaptation in Industry
264 c 2022-08-15
264 1a New York, NY, USA :b IEEE,c 2022
338 a print2 rdacarrier
520 a 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 largescale 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. © 2022 ACM.
650 7a NATURVETENSKAPx Data- och informationsvetenskapx Datavetenskap0 (SwePub)102012 hsv//swe
650 7a NATURAL SCIENCESx Computer and Information Sciencesx Computer Sciences0 (SwePub)102012 hsv//eng
653 a Adaptive systems; Concretes; Feedback; Motivation
653 a Difficulty applying self-adaptation; Feedback loops; Industrial use case; Large-scales; Self- adaptations; Self-adaptive system; Software-systems; State of the practice; Survey data
653 a Surveys
653 a Computer Science
653 a Datavetenskap
7001 a Gerostathopoulos, Iliasu Vrije Universiteit Amsterdam, Netherlands4 aut
7001 a Abbas, Nadeem,d 1980-u Linnéuniversitetet,Institutionen för datavetenskap och medieteknik (DM),DISA;DISA-SIG4 aut0 (Swepub:lnu)nabmsi
7001 a Andersson, Jesper,d 1970-u Linnéuniversitetet,Institutionen för datavetenskap och medieteknik (DM)4 aut0 (Swepub:lnu)janmsi
7001 a Biffl, Stefanu CDL-SQI Tu Wien, Austria4 aut
7001 a Brada, Premeku University of West Bohemia, Czech Republic4 aut
7001 a Bures, Tomasu Charles University, Czech Republic4 aut
7001 a Salle, Amleto Diu University of L'Aquila, Italy4 aut
7001 a Lago, Patriciau Vrije Universiteit Amsterdam, Netherlands4 aut
7001 a Musil, Angelikau Katholieke Universiteit Leuven, Belgium4 aut
7001 a Musil, Juergenu CDL-SQI Tu Wien, Austria4 aut
7001 a Pelliccione, Patriziou Gran Sasso Science Institute, Italy4 aut
7102 a Linnéuniversitetetb Institutionen för datavetenskap och medieteknik (DM)4 org
7730 t Proceedings - 17th Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2022d New York, NY, USA : IEEEg , s. 70-76q <70-76z 9781450393058
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-118132
8564 8u https://doi.org/10.1145/3524844.3528077

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