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Timely and accurate detection of model deviation in self-adaptive software-intensive systems

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Xiaoxing MaAuthors Info & Claims

ESEC/FSE 2021: Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Pages 168 - 180

https://doi.org/10.1145/3468264.3468548

Published: 18 August 2021 Publication History

Abstract

Control-based approaches to self-adaptive software-intensive systems (SASs) are hailed for their optimal performance and theoretical guarantees on the reliability of adaptation behavior. However, in practice the guarantees are often threatened by model deviations occurred at runtime. In this paper, we propose a Model-guided Deviation Detector (MoD2) for timely and accurate detection of model deviations. To ensure reliability, a SAS can switch a control-based optimal controller for a mandatory controller once an unsafe model deviation is detected. MoD2 achieves both high timeliness and high accuracy through a deliberate fusion of parameter deviation estimation, uncertainty compensation, and safe region quantification. Empirical evaluation with three exemplar systems validated the efficacy of MoD2 (93.3% shorter detection delay, 39.4% lower FN rate, and 25.2% lower FP rate), as well as the benefits of the adaptation-switching mechanism (abnormal rate dropped by 29.2%).

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Cited By

Qin YTong YXu YCao CMa X(2024)Active Monitoring Mechanism for Control-Based Self-Adaptive SystemsProceedings of the ACM on Software Engineering10.1145/36607891:FSE(1841-1864)Online publication date: 12-Jul-2024
https://dl.acm.org/doi/10.1145/3660789
Chen JQin YWang HXu C(2022)Simulation Might Change Your Results: A Comparison of Context-Aware System Input Validation in Simulated and Physical EnvironmentsJournal of Computer Science and Technology10.1007/s11390-021-1669-137:1(83-105)Online publication date: 1-Feb-2022
https://dl.acm.org/doi/10.1007/s11390-021-1669-1

Index Terms

Timely and accurate detection of model deviation in self-adaptive software-intensive systems
1. Social and professional topics
  1. Professional topics
    1. Management of computing and information systems
      1. Software management
        Software selection and adaptation
2. Software and its engineering
  1. Software creation and management
    1. Software verification and validation

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cover image ACM Conferences

ESEC/FSE 2021: Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering

August 2021

1690 pages

ISBN:9781450385626

DOI:10.1145/3468264

General Chairs:
Diomidis Spinellis
Athens University of Economics and Business, Greece
,
Georgios Gousios
Facebook, Netherlands / Delft University of Technology, Netherlands
,
Program Chairs:
Marsha Chechik
University of Toronto, Canada
,
Massimiliano Di Penta
University of Sannio, Italy

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Published: 18 August 2021

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Key-area R&D program of Guangdong Province
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ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

August 23 - 28, 2021

Athens, Greece

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Cited By

Qin YTong YXu YCao CMa X(2024)Active Monitoring Mechanism for Control-Based Self-Adaptive SystemsProceedings of the ACM on Software Engineering10.1145/36607891:FSE(1841-1864)Online publication date: 12-Jul-2024
https://dl.acm.org/doi/10.1145/3660789
Chen JQin YWang HXu C(2022)Simulation Might Change Your Results: A Comparison of Context-Aware System Input Validation in Simulated and Physical EnvironmentsJournal of Computer Science and Technology10.1007/s11390-021-1669-137:1(83-105)Online publication date: 1-Feb-2022
https://dl.acm.org/doi/10.1007/s11390-021-1669-1

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