Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/23059
Title: A foundation for runtime monitoring
Authors: Francalanza, Adrian
Aceto, Luca
Achilleos, Antonis
Attard, Duncan Paul
Cassar, Ian
Della Monica, Dario
Ingolfsdottir, Anna
Keywords: Pi-calculus
Computer multitasking
Computer monitors
Issue Date: 2017
Publisher: Springer, Cham
Citation: Francalanza, A., Aceto, L., Achilleos, A., Attard, D. P., Cassar, I., Della Monica, D., & Ingólfsdóttir, A. (2017). A foundation for runtime monitoring. 17th International Conference on Runtime Verification, Seattle. 8-29.
Abstract: Runtime Verification is a lightweight technique that complements other verification methods in an effort to ensure software correctness. The technique poses novel questions to software engineers: it is not easy to identify which specifications are amenable to runtime monitor-ing, nor is it clear which monitors effect the required runtime analysis correctly. This exposition targets a foundational understanding of these questions. Particularly, it considers an expressive specification logic (a syntactic variant of the modal μ-calculus) that is agnostic of the verification method used, together with an elemental framework providing an operational semantics for the runtime analysis performed by monitors. The correspondence between the property satisfactions in the logic on the one hand, and the verdicts reached by the monitors performing the analysis on the other, is a central theme of the study. Such a correspondence underpins the concept of monitorability, used to identify the subsets of the logic that can be adequately monitored for by RV. Another theme of the study is that of understanding what should be expected of a monitor in order for the verification process to be correct. We show how the monitor framework considered can constitute a basis whereby various notions of monitor correctness may be defined and investigated.
URI: https://www.um.edu.mt/library/oar//handle/123456789/23059
Appears in Collections:Scholarly Works - FacICTCS

Files in This Item:
File Description SizeFormat 
main (1).pdf496.02 kBAdobe PDFView/Open


Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.