A survey on preferences of quality attributes in the decision-making for self-adaptive systems: The bad, the good and the ugly

Luis H.Garcia Paucar, Nelly Bencomo

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

Abstract

Different techniques have been used to specify preferences for quality attributes and decision-making strategies of self-adaptive systems (SAS). These preferences are defined during requirement specification and design time. Further, it is well known that correctly identifying the preferences associated with the quality attributes is a major difficulty. This is exacerbated in the case of SAS, as the preferences defined at design time may not apply to contexts found at runtime. This paper aims at making an exploration of the research landscape that have addressed decision-making and quality attribute preferences specification for selfadaptation, in order to identify new techniques that can improve the current state-of-the-art of decision-making to support self-adaptation. In this paper we (1) review different techniques that support decisionmaking for self-adaptation and identify limitations with respect to the identification of preferences and weights (i.e. the research gap), (2) identify existing solutions that deal with current limitations.

Original languageEnglish
Title of host publicationCIbSE 2017 - XX Ibero-American Conference on Software Engineering
Pages1-14
Number of pages14
ISBN (Electronic)9789873806988
Publication statusE-pub ahead of print - 23 May 2017
Event20th Ibero-American Conference on Software Engineering, CIbSE 2017 - Buenos Aires, Argentina
Duration: 22 May 201723 May 2017

Conference

Conference20th Ibero-American Conference on Software Engineering, CIbSE 2017
CountryArgentina
CityBuenos Aires
Period22/05/1723/05/17

Keywords

  • Decision making
  • Preference trade-off
  • Quality attributes
  • Self-adaptation

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    Paucar, L. H. G., & Bencomo, N. (2017). A survey on preferences of quality attributes in the decision-making for self-adaptive systems: The bad, the good and the ugly. In CIbSE 2017 - XX Ibero-American Conference on Software Engineering (pp. 1-14)