Sökning: onr:"swepub:oai:DiVA.org:lnu-118132" > Preliminary Results...
Fältnamn | Indikatorer | Metadata |
---|---|---|
000 | 03652naa a2200481 4500 | |
001 | oai:DiVA.org:lnu-118132 | |
003 | SwePub | |
008 | 230104s2022 | |||||||||||000 ||eng| | |
024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-1181322 URI |
024 | 7 | a https://doi.org/10.1145/3524844.35280772 DOI |
040 | a (SwePub)lnu | |
041 | a engb eng | |
042 | 9 SwePub | |
072 | 7 | a ref2 swepub-contenttype |
072 | 7 | a kon2 swepub-publicationtype |
100 | 1 | a Weyns, Dannyu Linnéuniversitetet,Institutionen för datavetenskap och medieteknik (DM),Katholieke Universiteit Leuven, Belgium,DISA;Adaptwise4 aut0 (Swepub:lnu)daweaa |
245 | 1 0 | a Preliminary Results of a Survey on the Use of Self-Adaptation in Industry |
264 | c 2022-08-15 | |
264 | 1 | a 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 | 7 | a NATURVETENSKAPx Data- och informationsvetenskapx Datavetenskap0 (SwePub)102012 hsv//swe |
650 | 7 | a 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 | |
700 | 1 | a Gerostathopoulos, Iliasu Vrije Universiteit Amsterdam, Netherlands4 aut |
700 | 1 | a Abbas, Nadeem,d 1980-u Linnéuniversitetet,Institutionen för datavetenskap och medieteknik (DM),DISA;DISA-SIG4 aut0 (Swepub:lnu)nabmsi |
700 | 1 | a Andersson, Jesper,d 1970-u Linnéuniversitetet,Institutionen för datavetenskap och medieteknik (DM)4 aut0 (Swepub:lnu)janmsi |
700 | 1 | a Biffl, Stefanu CDL-SQI Tu Wien, Austria4 aut |
700 | 1 | a Brada, Premeku University of West Bohemia, Czech Republic4 aut |
700 | 1 | a Bures, Tomasu Charles University, Czech Republic4 aut |
700 | 1 | a Salle, Amleto Diu University of L'Aquila, Italy4 aut |
700 | 1 | a Lago, Patriciau Vrije Universiteit Amsterdam, Netherlands4 aut |
700 | 1 | a Musil, Angelikau Katholieke Universiteit Leuven, Belgium4 aut |
700 | 1 | a Musil, Juergenu CDL-SQI Tu Wien, Austria4 aut |
700 | 1 | a Pelliccione, Patriziou Gran Sasso Science Institute, Italy4 aut |
710 | 2 | a Linnéuniversitetetb Institutionen för datavetenskap och medieteknik (DM)4 org |
773 | 0 | 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 |
856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-118132 |
856 | 4 8 | u https://doi.org/10.1145/3524844.3528077 |
Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.
Kopiera och spara länken för att återkomma till aktuell vy