@inproceedings{ed8fcb3bea0c44909c769e3dd868de50,
title = "Requirements-driven social adaptation: Expert survey",
abstract = "[Context and motivation] Self-adaptation empowers systems with the capability to meet stakeholders' requirements in a dynamic environment. Such systems autonomously monitor changes and events which drive adaptation decisions at runtime. Social Adaptation is a recent kind of requirements-driven adaptation which enables users to give a runtime feedback on the success and quality of a system's configurations in reaching their requirements. The system analyses users' feedback, infers their collective judgement and then uses it to shape its adaptation decisions. [Question/problem] However, there is still a lack of engineering mechanisms to guarantee a correct conduction of Social Adaptation. [Principal ideas/results] In this paper, we conduct a two-phase Expert Survey to identify core benefits, domain areas and challenges for Social Adaptation. [Contribution] Our findings provide practitioners and researchers in adaptive systems engineering with insights on this emerging role of users, or the crowd, and stimulate future research to solve the open problems in this area.",
keywords = "Adaptive Systems, Requirements Engineering, Social Adaptation",
author = "Malik Almaliki and Funmilade Faniyi and Rami Bahsoon and Keith Phalp and Raian Ali",
year = "2014",
doi = "10.1007/978-3-319-05843-6_6",
language = "English",
isbn = "9783319058429",
volume = "8396 LNCS",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "72--87",
editor = "Camille Salinesi and {Van de Weerd}, {Inge }",
booktitle = "Requirements Engineering: Foundation for Software Quality",
note = "20th International Working Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2014 ; Conference date: 07-04-2014 Through 10-04-2014",
}