Replication Package: Anomaly detection via runtime monitoring data for structural equation modeling

This replication package contains the following information:

Dataset of runtime monitoring data extracted from TrainTicket via EvoMaster: 

TrainTicket faults classification.xlxs: Describes the datasets and their faults, in which microservice the fault is injected for better explainability of the obtained results

Datasets.zip: all the datasets generated via EvoMaster and their injected faults

Code for handling and transforming data to extract indicators describing the whole system's and microservices' behavior from the collected runtime monitoring data collected from TrainTicket:

link to the Github repository

reports regarding the established PLS-SEM model using previously handled and transformed runtime monitoring data:

Assessment of Measurement Model: MeasurementModel_TrainTicket_erorcleaned.zip & MeasurementModel_Bootstrap_ALL_TrainTicket_errorcleaned.zip 

Assessment of Structural Model: StructuralModel_TrainTicket_errorcleaned.zip & StructuralModel_Bootstrap_ALL_TrainTicket_errorcleaned.zip

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Future work not elaborated in the associated paper due to space restrictions:

reports regarding F5 error: PLS-SEM model results without interpretation and further mediating effects between microservices included: F5_error.zip