Monitoring temporal rules combined with time series

Abstract

Run-time monitoring of temporal properties and assertions is used for testing and as a component of execution-based model checking techniques. Traditional run-time monitoring however, is limited to observing sequences of pure Boolean propositions. This paper describes tools, which observe temporal properties over time series, namely, sequences of propositions with constraints on data value changes over time. Using such temporal logic with time series (LTLD) it is possible to monitor important properties such as stability, monotonicity, temporal average and sum values, and temporal min/max values. The paper describes the Temporal Rover and the DBRover, which are in-process and remote run-time monitoring tools, respectively, that support linear time temporal logic (LTL) with real-time (MTL) and time series (LTLD) constraints. © Springer-Verlag Berlin Heidelberg 2003.