Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/24155
Title: LarvaStat : monitoring of statistical properties
Authors: Colombo, Christian
Gauci, Andrew
Pace, Gordon J.
Keywords: Scripting languages (Computer science)
Programming languages (Electronic computers) -- Software
Computer programs -- Verification
Issue Date: 2010
Publisher: Springer-Verlag Berlin, Heidelberg
Citation: Colombo, C., Gauci, A., & Pace, G. J. (2010). LarvaStat: monitoring of statistical properties. First international Conference on Runtime Verification, St. Julians. 480-484.
Abstract: Execution paths expose non-functional information such as system reliability and performance, which can be collected using runtime verification techniques. Statistics gathering and evaluation can be very useful for processing such information for areas ranging from performance profiling to user modelling and intrusion detection. In this paper, we give an overview of LarvaStat -- a runtime verification tool extending LARVA [2] with the ability to straight forwardly specify real-time related statistical properties. Being automaton-based, LarvaStat also makes explicit the overhead induced by monitoring.
URI: https://www.um.edu.mt/library/oar//handle/123456789/24155
Appears in Collections:Scholarly Works - FacICTCS

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