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Content available remote Towards data quality runtime verification
EN
This paper discusses data quality checking during business process execution by using runtime verification. While runtime verification verifies the correctness of business process execution, data quality checks assure that particular process did not negatively impact the stored data. Both, runtime verification and data quality checks run in parallel with the base processes affecting them insignificantly. The proposed idea allows verifying (a) if the process was ended correctly as well as (b) whether the results of the correct process did not negatively impact the stored data in result of its modification caused by the specific process. The desired result will be achieved by use of domain specific languages that would describe runtime verification and data quality checks at every stage of business process execution.
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Content available remote Monitoring with Parametrized Extended Life Sequence Charts
EN
Runtime verification is a lightweight formal method that checks whether an execution of a system satisfies a given property. A challenge in building a runtime verification system is to define a suitable monitoring specification language, i.e., a language that is expressive, of reasonable complexity, and easy to understand. In this paper, we extend live sequence charts (LSCs, [1]) for the specification of properties in systems monitoring. We define Parametrized extended LSCs (PeLSCs) by introducing the notions of necessary prechart, concatenation, and conditionand assignment-structure. With these PeLSCs, necessary and sufficient conditions of certain observations, and parametric properties can be specified in an intuitive way. We prove some results about the expressiveness of extended LSCs. In particular, we show that LSCs with necessary precharts are strictly more expressive than standard LSCs, and that iteration-free extended LSCs have the same expressive power as linear temporal logic (LTL). To generate monitors, we develop translations of PeLSCs into hybrid logic. We show that the complexity of the word problem of PeLSCs is linear with respect to the length of input traces, thus our formalism is well-suited for online monitoring of communicating systems.
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