BTW/BigBIA 2017 Applicatjon and Testjng of Business Processes in - - PowerPoint PPT Presentation

Applicatjon and Testjng of Business Processes in the Energy Domain

Kristof Böhmer, Florian Stertz, Tobias Hildebrandt, Stefanie Rinderle-Ma University of Vienna Günther Eibl, Cornelia Ferner, Dominik Engel, Sebastjan Burkhart FH Salzburg kristof.boehmer@univie.ac.at

BTW/BigBIA 2017

Agenda

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Overview Method Evaluatjon Contributjon Future Work

Why to test process executjons?

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Q: Why to test process executjons?

Ensuring stability and correctness is crucial Existjng work is limited Process testjng is a growing research topic Enables to verify dynamic runtjme behaviour

Areas of Improvement

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Q: How to improve process testjng?

Support diverse process perspectjves Flexible integratjon of external services and partners Testjng for negatjve behavior (negatjve testjng) Enable dynamic extension of expected behavior

Why are we focusing on the energy domain?

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Q: Energy domain focus?

General Applicability Tackled with standardized processes Security & correctness is important for organisatjons but also for the society However: Novel Challenges in the energy domain

Agenda

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Overview Method Evaluatjon Contributjon Future Work

Key Idea

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Flexible Process executjon engine Existjng Process Mining Approaches

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Identjfy deviatjons to identjfy failures and false specifjcatjons Testjng & productjon process models

Toolchain - Overview

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Process Engine: Cloud Process Executjon Engine Process Mining: Process Mining framework (ProM)

Defjnitjon of Processes

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Test & Productjon Process are equal except the external resources (mocking) mixture of productjon and mocked resources Ensures that test results are valid Generated based on productjon standards and requirements Executed with the productjon executjon engine Enables a quick transitjon from testjng and development to productjon

Defjnitjon of Processes

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CPEE based modeled process

Testjng (Data Collectjon)

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Based on test cases and test data Executjng productjon and test process simultaneously Logging both executjons into XES format Extendable (e.g., data and resources) Fine granular

Testjng (Data Analysis)

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Applicatjon of existjng tools, i.e., ProM Process Mining Multjple applicatjon areas Here: Conformance Checking and Model Mining Identjfy (automatjc) and assess (manual) deviatjons, i.e., faults or negatjve testjng

Testjng (Verifying)

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Exemplary correctness verifjcatjon result

Agenda

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Overview Method Evaluatjon Contributjon Future Work

Evaluatjon

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Evaluate the applicability and performance of the proposed process testjng approach Utjlized Technology: Utjlized Data: Cloud Process Executjon Engine (CPEE) Process Mining framework (ProM) Smart Metering Use-Cases für das Advanced Meter Communicatjon System - Oesterreichs Energie

Motjvatjng Example

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Smart Meter supported payment process

Evaluatjon

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Generatjon/Executjon of test and real instances

Evaluatjon

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Experimental results Suffjcient testjng performance Support for non-control fmow focused aspects is limited Easy integratjon in existjng modeling tools

Agenda

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Overview Method Evaluatjon Contributjon Future Work

Contributjon to the Field

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Flexible and extensible approach Supports negatjve testjng Novel applicatjon of process mining approaches Seamless transitjon from testjng\development to productjon

Agenda

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Overview Method Evaluatjon Contributjon Future Work

Future Work

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Performance Improvements Testjng multjple dimensions/perspectjves Applicatjon in the security domain Test case and data generatjon

Discussion

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Kristof Böhmer, Florian Stertz, Tobias Hildebrandt, Stefanie Rinderle-Ma University of Vienna Günther Eibl, Cornelia Ferner, Dominik Engel, Sebastjan Burkhart FH Salzburg