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[null,"1.","Record Nr.",null,"UNINA9910141055103321"]
[null,null,"Titolo",null,"2011 IEEE 19th International Conference on Requirements Engineering"]
[null,null,"Pubbl/distr/stampa",null,"[Place of publication not identified], : IEEE, 2011"]
[null,null,"ISBN",null,"9781457709241"]
[{"$nulls":4},"1457709244"]
[{"$nulls":4},"9781457709234"]
[{"$nulls":4},"1457709236"]
[null,null,"Descrizione fisica",null,"1 online resource"]
[null,null,"Disciplina",null,"620.001171"]
[null,null,"Soggetti",null,"Systems engineering"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Bibliographic Level Mode of Issuance: Monograph"]
[null,null,null,"Sommario/riassunto","The requirements and design level identification and representation of dynamic variability for adaptive systems is a challenging task. This requires time and effort to identify and model the relevant elements as well as the need to consider the large number of potentially possible system configurations. Typically, each individual variability dimension needs to identified and modelled by enumerating each possible alternative. The full set of requirements needs to be reviewed to extract all potential variability dimensions. Moreover, each possible configuration of an adaptive system needs to be validated before use. In this demonstration, we present a tool suite that is able to manage dynamic variability in adaptive systems and tame such system complexity. This tool suite is able to automatically identify dynamic variability attributes such as variability dimensions, context, adaptation rules, and soft/hard goals from requirements documents. It also supports modelling of these artefacts as well as their run-time verification and validation."]