Requirements-driven social adaptation: Expert survey

Malik Almaliki, Funmilade Faniyi, Rami Bahsoon, Keith Phalp, Raian Ali

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)


[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.

Original languageEnglish
Title of host publicationRequirements Engineering: Foundation for Software Quality
Subtitle of host publication20th International Working Conference, REFSQ 2014, Essen, Germany, April 7-10, 2014. Proceedings
EditorsCamille Salinesi, Inge Van de Weerd
Number of pages16
Volume8396 LNCS
ISBN (Electronic)9783319058436
ISBN (Print)9783319058429
Publication statusPublished - 2014
Event20th International Working Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2014 - Essen, Germany
Duration: 7 Apr 201410 Apr 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8396 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349


Conference20th International Working Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2014


  • Adaptive Systems
  • Requirements Engineering
  • Social Adaptation

ASJC Scopus subject areas

  • General Computer Science
  • Theoretical Computer Science


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