Behavioral Maps:Identifying Architectural Smells in Self-Adaptive Systems at Runtime

Autor: Lima dos Santos, Edilton, Fortz, Sophie, Schobbens, Pierre-Yves, Perrouin, Gilles

Publikováno v: Lima dos Santos, E, Fortz, S, Schobbens, P-Y & Perrouin, G 2022, Behavioral Maps : Identifying Architectural Smells in Self-Adaptive Systems at Runtime . in P Scandurra, M Galster, R Mirandola, D Weyns & D Weyns (eds), Software Architecture-15th European Conference, ECSA 2021 Tracks and Workshops, Revised Selected Papers : 15th European Conference, ECSA 2021 Tracks and Workshops; Växjö, Sweden, September 13–17, 2021, Revised Selected Papers . Lecture Notes in Computer Science edn, vol. 13365, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13365 LNCS, Springer Nature Switzerland AG, pp. 159-180 . https://doi.org/10.1007/978-3-031-15116-3_8

Self-adaptive systems (SAS) change their behavior and structure at runtime, depending on environmental changes and reconfiguration plans and goals. Such systems combine architectural fragments or solutions in their (re)configuration process. However,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______4291::e35c29b5d54cc9fd0596cf25800bffed
https://pure.unamur.be/ws/files/69897645/Behavioral_Maps_Identify_Architectural_Smells_in_Self_Adaptive_Systems_using_Behavioral_Maps_AuthorCopy.pdf

Identifying Architectural Smells in Self-Adaptive Systems at Runtime

Self-adaptive systems (SAS) change their architecture or behavior depending on the (re)configuration plans to answer the environmental context. Moreover, the (re)configurations process may also negatively affect the system’s architectural qualities

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dris___01166::7ec407e84b522d9cb311f911fd2848df
https://researchportal.unamur.be/en/publications/a4f446ff-5b4a-4aba-a4d0-260126329494

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Context management and self-adaptivity for situation-aware smart software systems

Autor: Villegas Machado, Norha Milena

Our society is increasingly demanding situation-aware smarter software (SASS) systems, whose goals change over time and depend on context situations. A system with such properties must sense their dynamic environment and respond to changes quickly, a

Externí odkaz: http://hdl.handle.net/1828/4476

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.