The design of adaptive acquisition of users feedback: An empirical study

  • Malik Almaliki
  • , Cornelius Ncube
  • , Raian Ali

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

28 Citations (Scopus)

Abstract

Users' feedback is a main source of knowledge on how users perceive the role of software in meeting their requirements. Collectively, such feedback helps shaping software autonomous and semi-autonomous adaptation decisions of what is called Social Adaptation. It also helps developers to identify loci in the system where an evolution should be introduced in the next release. Despite this role of users' feedback, there is a lack of systematic engineering approaches on how to design its acquisition mechanisms. In this paper, we observe that the acquisition of feedback should be itself adaptive to the context of use. We conduct an empirical study following a mixed-method sequential exploratory approach to explore the main drivers of such adaptation and understand users' attitude when being asked to provide feedback. Our findings are meant to enrich the knowledge base for developers and researchers in users-centric, or crowd-centric, adaptation. It also highlights areas of study for a future research in the area.

Original languageEnglish
Title of host publication2014 IEEE 8th International Conference on Research Challenges in Information Science, IEEE RCIS 2014
PublisherIEEE Computer Society
ISBN (Print)9781479923939
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event8th IEEE International Conference on Research Challenges in Information Science, IEEE RCIS 2014 - Marrakesh, Morocco
Duration: 28 May 201430 May 2014

Publication series

NameProceedings - International Conference on Research Challenges in Information Science
ISSN (Print)2151-1349
ISSN (Electronic)2151-1357

Conference

Conference8th IEEE International Conference on Research Challenges in Information Science, IEEE RCIS 2014
Country/TerritoryMorocco
CityMarrakesh
Period28/05/1430/05/14

Keywords

  • Requirements
  • Social Adaptation
  • User Feedback

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