Guidelines for Artifacts to Support Industry-Relevant Research on Self-Adaptation
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F22%3A00128937" target="_blank" >RIV/00216224:14330/22:00128937 - isvavai.cz</a>
Výsledek na webu
<a href="https://dl.acm.org/doi/abs/10.1145/3561846.3561852" target="_blank" >https://dl.acm.org/doi/abs/10.1145/3561846.3561852</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3561846.3561852" target="_blank" >10.1145/3561846.3561852</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Guidelines for Artifacts to Support Industry-Relevant Research on Self-Adaptation
Popis výsledku v původním jazyce
Artifacts support evaluating new research results and help comparing them with the state of the art in a field of interest. Over the past years, several artifacts have been introduced to support research in the field of self-adaptive systems. While these artifacts have shown their value, it is not clear to what extent these artifacts support research on problems in self-adaptation that are relevant to industry. This paper provides a set of guidelines for artifacts that aim at supporting industry-relevant research on self-adaptation. The guidelines that are grounded on data obtained from a survey with practitioners were derived during working sessions at the 17th International Symposium on Software Engineering for Adaptive and Self-Managing Systems. Artifact providers can use the guidelines for aligning future artifacts with industry needs; they can also be used to evaluate the industrial relevance of existing artifacts. We also propose an artifact template.
Název v anglickém jazyce
Guidelines for Artifacts to Support Industry-Relevant Research on Self-Adaptation
Popis výsledku anglicky
Artifacts support evaluating new research results and help comparing them with the state of the art in a field of interest. Over the past years, several artifacts have been introduced to support research in the field of self-adaptive systems. While these artifacts have shown their value, it is not clear to what extent these artifacts support research on problems in self-adaptation that are relevant to industry. This paper provides a set of guidelines for artifacts that aim at supporting industry-relevant research on self-adaptation. The guidelines that are grounded on data obtained from a survey with practitioners were derived during working sessions at the 17th International Symposium on Software Engineering for Adaptive and Self-Managing Systems. Artifact providers can use the guidelines for aligning future artifacts with industry needs; they can also be used to evaluate the industrial relevance of existing artifacts. We also propose an artifact template.
Klasifikace
Druh
J<sub>ost</sub> - Ostatní články v recenzovaných periodicích
CEP obor
—
OECD FORD obor
10200 - Computer and information sciences
Návaznosti výsledku
Projekt
<a href="/cs/project/EF16_019%2F0000822" target="_blank" >EF16_019/0000822: Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
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 periodika
ACM SIGSOFT Software Engineering Notes
ISSN
0163-5948
e-ISSN
—
Svazek periodika
47
Číslo periodika v rámci svazku
4
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
7
Strana od-do
18-24
Kód UT WoS článku
—
EID výsledku v databázi Scopus
—