eBiltegia

    • Euskara
    • Español
    • English
  • Contact Us
  • English 
    • Euskara
    • Español
    • English
  • About eBiltegia  
    • What is eBiltegia? 
    •   About eBiltegia
    •   Publish your research in open access
    • Open Access at MU 
    •   What is Open Science?
    •   Open Access institutional policy
    •   The Library compiles and disseminates your publications
  • Login
View Item 
  •   eBiltegia MONDRAGON UNIBERTSITATEA
  • Scientific production - Articles
  • Articles - Engineering
  • View Item
  •   eBiltegia MONDRAGON UNIBERTSITATEA
  • Scientific production - Articles
  • Articles - Engineering
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.
Thumbnail
View/Open
Uncertainty-aware Robustness Assessment of Industrial Elevator Systems.pdf (3.265Mb)
Full record
Impact

Web of Science   

Google Scholar
Microsoft Academic
Share
Save the reference
Mendely
Title
Uncertainty-aware Robustness Assessment of Industrial Elevator Systems
Author
Arrieta, AitorMondragon Unibertsitatea
Author (from another institution)
Han, Liping
Ali, Shaukat
Yue, Tao
Arratibel, Maite
Research Group
Ingeniería del software y sistemas
Published Date
2022
Publisher
ACM
Keywords
Uncertainty-aware
Robustness 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. [-]
URI
https://hdl.handle.net/20.500.11984/5948
Publisher’s version
https://doi.org/10.1145/3576041
ISSN
1557-7392
Published at
ACM Transactions on Software Engineering and Methodology 
Document type
Article
Version
Postprint – Accepted Manuscript
Rights
© 2022 Association for Computing Machinery
Access
Open Access
Collections
  • Articles - Engineering [478]

Browse

All of eBiltegiaCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsResearch groupsPublished atThis CollectionBy Issue DateAuthorsTitlesSubjectsResearch groupsPublished at

My Account

LoginRegister

Statistics

View Usage Statistics

Harvested by:

OpenAIREBASE

Validated by:

OpenAIRERebiun
MONDRAGON UNIBERTSITATEA | Library
Contact Us | Send Feedback
DSpace
 

 

Harvested by:

OpenAIREBASE

Validated by:

OpenAIRERebiun
MONDRAGON UNIBERTSITATEA | Library
Contact Us | Send Feedback
DSpace