Runtime Resolution of Feature Interactions through Adaptive Requirement Weakening

Simon Chu, Emma Shedden, Changjian Zhang, Romulo Meira-Goes, Gabriel A. Moreno, David Garlan, Eunsuk Kang

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

3 Scopus citations

Abstract

The feature interaction problem occurs when two or more independently developed components interact with each other in unanticipated ways, resulting in undesirable system behaviors. Feature interaction problems remain a challenge for emerging domains in cyber-physical systems (CPS), such as the Internet of Things and autonomous drones. Existing techniques for resolving feature interactions take a 'winner-takes-all' approach, where one out of the conflicting features is selected as the most desirable one, and the rest are disabled. However, when multiple of the conflicting features fulfill important system requirements, being forced to select one of them can result in an undesirable system outcome. In this paper, we propose a new resolution approach that allows all of the conflicting features to continue to partially fulfill their requirements during the resolution process. In particular, our approach leverages the idea of adaptive requirement weakening, which involves one or more features temporarily weakening their level of performance in order to co-exist with the other features in a consistent manner. Given feature requirements specified in Signal Temporal Logic (STL), we propose an automated method and a runtime architecture for automatically weakening the requirements to resolve a conflict.

Original languageEnglish (US)
Title of host publicationProceedings - 2023 IEEE/ACM 18th Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2023
PublisherIEEE Computer Society
Pages115-125
Number of pages11
ISBN (Electronic)9798350311921
DOIs
StatePublished - 2023
Event18th IEEE/ACM Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2023 - Melbourne, Australia
Duration: May 15 2023May 16 2023

Publication series

NameICSE Workshop on Software Engineering for Adaptive and Self-Managing Systems
Volume2023-May
ISSN (Print)2157-2305
ISSN (Electronic)2156-7891

Conference

Conference18th IEEE/ACM Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2023
Country/TerritoryAustralia
CityMelbourne
Period5/15/235/16/23

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Software

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