English

Runtime Resolution of Feature Interactions through Adaptive Requirement Weakening

Software Engineering 2023-10-30 v1 Formal Languages and Automata Theory Logic in Computer Science Systems and Control Systems and Control

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. We demonstrate our approach through case studies on feature interactions in autonomous drones.

Keywords

Cite

@article{arxiv.2310.18217,
  title  = {Runtime Resolution of Feature Interactions through Adaptive Requirement Weakening},
  author = {Simon Chu and Emma Shedden and Changjian Zhang and Rômulo Meira-Góes and Gabriel A. Moreno and David Garlan and Eunsuk Kang},
  journal= {arXiv preprint arXiv:2310.18217},
  year   = {2023}
}

Comments

10 pages, submitted to SEAMS conference

R2 v1 2026-06-28T13:03:55.372Z