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Title
Uncertainty-aware Robustness Assessment of Industrial Elevator SystemsAuthor
Published Date
2022Publisher
ACMKeywords
Uncertainty-awareRobustness Assessment
Empirical Study
Abstract
Industrial elevator systems are commonly used software systems in our daily lives, which operate in uncertain environments such as unpredictable passenger traffic, uncertain passenger attributes and b ... [+]
Industrial elevator systems are commonly used software systems in our daily lives, which operate in uncertain environments such as unpredictable passenger traffic, uncertain passenger attributes and behaviors, and hardware delays. Understanding and assessing the robustness of such systems under various uncertainties enable system designers to reason about uncertainties, especially those leading to low system robustness, and consequently improve their designs and implementations in terms of handling uncertainties. To this end, we present a comprehensive empirical study conducted with industrial elevator systems provided by our industrial partner Orona, which focuses on assessing the robustness of a dispatcher, i.e., a software component responsible for elevators’ optimal scheduling. In total, we studied 90 industrial dispatchers in our empirical study. Based on the experience gained from the study, we derived an uncertainty-aware robustness assessment method (named UncerRobua) comprising a set of guidelines on how to conduct the robustness assessment and a newly proposed ranking algorithm, for supporting the robustness assessment of industrial elevator systems against uncertainties. [-]
Publisher’s version
https://doi.org/10.1145/3576041ISSN
1557-7392Published at
ACM Transactions on Software Engineering and Methodology Document type
Article
Version
Postprint – Accepted Manuscript
Rights
© 2022 Association for Computing MachineryAccess
Open AccessCollections
- Articles - Engineering [486]