Social Adaptation at Runtime

This source preferred by Raian Ali

Authors: Ali, R., Solis, C., Omoronyia, I., Salehie, M. and Nuseibeh, B.

Editors: Maciaszek, L.A. and Filipe, J.

Volume: 410

Pages: 110-127

Publisher: Communications in Computer and Information Science. Springer

This data was imported from Scopus:

Authors: Ali, R., Solis, C., Omoronyia, I., Salehie, M. and Nuseibeh, B.

Volume: 410 CCIS

Pages: 110-127

ISBN: 9783642454219

DOI: 10.1007/978-3-642-45422-6_8

One of the main goals of software adaptation is that users get their dynamic requirements met efficiently and correctly. Adaptation is traditionally driven by changes in the system internally and its operational environment. An adaptive system has to monitor and analyse such changes and, if needed, switch to the right behaviour to meet its requirements. In this paper, we advocate another essential driver for adaptation which is the collective judgement of users on the different behaviours of a system. This judgement is based on the feedback iteratively collected from users at run-time. Users feedback should be related to their main interest which is the ability and quality of the system in reaching their requirements. We propose a novel approach to requirements-driven adaptation that gives the collective judgement of users, inferred from their individual feedback, a primary role in planning and guiding adaptation. We apply our approach on a case study and report on the results. © Springer-Verlag Berlin Heidelberg 2013.

This data was imported from Web of Science (Lite):

Authors: Ali, R., Solis, C., Omoronyia, I., Salehie, M. and Nuseibeh, B.

Volume: 410

Pages: 110-127

ISBN: 978-3-642-45421-9

The data on this page was last updated at 04:44 on September 23, 2017.