Andmeteadlik vastavuse kontrollimine
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2019
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Vastavuse kontrollimine on üks kõige tavalisemaid ülesandeid protsessikaeve valdkonnas. Vastavuse kontrollimise peamine eesmärk on kontrollida protsessimudeli vastavust sündmuste logidele selleks, et hinnata või kirjeldada kuidas registreeritud käitumine protsessimudelis kirjeldatud käitumisest erineb. Enamus olemasolevatest vastavuse kontrollimise tehnikaid põhineb kontrollvoolu perspektiivile. Käesolev lõputöö pakub välja tehnika, mis lisaks kontrollvoolule põhinevale tehnikale arvestab ka andmete perspektiivile. Väljapakutud lähenemisviis on implementeeritud tarkvaralise lahendusena, mis kasutab sisendiks BPMN mudelit ja sündmuste logi. Loodud tarkvara töörist on loodud kasutades programmeerimiskeelt Elixir. Lõputöö sisaldab samuti ka välja töötatud lahenduse tulemuslikkuse hinnangut.
Conformance checking is one of the most common tasks in the field process mining. The goal of conformance checking is to compare a process model against an event log in order to quantify or describe how the behavior recorded in the log deviates with respect to the behavior captured by the process model. Most of the existing conformance checking techniques focus on the control-flow perspective. In this thesis, we propose a conformance checking technique that takes into account the data perspectives in addition to the control-flow perspective. The proposed approach is implemented as a tool that takes as input a BPMN process model and an event log. The tool has been implemented using the Elixir programming language. The thesis also reports on a performance evaluation of the proposed approach.
Conformance checking is one of the most common tasks in the field process mining. The goal of conformance checking is to compare a process model against an event log in order to quantify or describe how the behavior recorded in the log deviates with respect to the behavior captured by the process model. Most of the existing conformance checking techniques focus on the control-flow perspective. In this thesis, we propose a conformance checking technique that takes into account the data perspectives in addition to the control-flow perspective. The proposed approach is implemented as a tool that takes as input a BPMN process model and an event log. The tool has been implemented using the Elixir programming language. The thesis also reports on a performance evaluation of the proposed approach.