Search: onr:"swepub:oai:DiVA.org:lnu-118132" > Preliminary Results...
Fältnamn | Indikatorer | Metadata |
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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 |
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