Done is better than perfect: Iterative Adaptation via Multi-grained Requirement Relaxation

Jialong Li, Kenji Tei

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

Abstract

In the studies of self-adaptive systems (SAS), requirement relaxation is a widely discussed approach for managing the system's requirements when dealing with the runtime environment changes (e.g., ignoring low-priority requirements to guarantee high-priority requirements). Guaranteeable requirement analysis (GRA) is recently proposed to determine the relaxation by checking the feasibility of all requirement combinations, enabling the SAS to realize the relaxation autonomously. However, a critical problem of GRA is the trade-off between analysis/relaxation precision and computation time at different granularity levels of requirements. Specifically, the analysis may not be precise enough if the requirements are coarse-grained (i.e., high granularity level), while the analysis may take a too long time if the requirements are fine-grained (i.e., low granularity level). This paper proposed a method, namely iterative adaptation via multi-grained requirement relaxation, to achieve the advantages of high precision and short computation time. Specifically, the SAS first deploys a rapid (but imprecise) relaxation using high granularity-level requirements. It then repeatedly iterates to a preciser (but slower) relaxation with a progressive decrease in the granularity level. An experiment based on the warehouse robot system demonstrates the validity of our proposal.

Original languageEnglish
Title of host publicationProceedings - 30th IEEE International Requirements Engineering Conference, RE 2022
EditorsEric Knauss, Gunter Mussbacher, Chetan Arora, Muneera Bano, Jean-Guy Schneider
PublisherIEEE Computer Society
Pages288-294
Number of pages7
ISBN (Electronic)9781665470001
DOIs
Publication statusPublished - 2022
Event30th IEEE International Requirements Engineering Conference, RE 2022 - Virtual, Online, Australia
Duration: 2022 Aug 152022 Aug 19

Publication series

NameProceedings of the IEEE International Conference on Requirements Engineering
Volume2022-August
ISSN (Print)1090-705X
ISSN (Electronic)2332-6441

Conference

Conference30th IEEE International Requirements Engineering Conference, RE 2022
Country/TerritoryAustralia
CityVirtual, Online
Period22/8/1522/8/19

Keywords

  • discrete controller synthesis
  • RE@runtime
  • requirement granularity
  • requirement relaxation
  • self-adaptive system

ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)
  • Strategy and Management

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