Shadow Testing for Business Process Improvement View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2018-10-18

AUTHORS

Suhrid Satyal , Ingo Weber , Hye-young Paik , Claudio Di Ciccio , Jan Mendling

ABSTRACT

A fundamental assumption of improvement in Business Process Management (BPM) is that redesigns deliver refined and improved versions of business processes. These improvements can be validated online through sequential experiment techniques like AB Testing, as we have shown in earlier work. Such approaches have the inherent risk of exposing customers to an inferior process version during the early stages of the test. This risk can be managed by offline techniques like simulation. However, offline techniques do not validate the improvements because there is no user interaction with the new versions. In this paper, we propose a middle ground through shadow testing, which avoids the downsides of simulation and direct execution. In this approach, a new version is deployed and executed alongside the current version, but in such a way that the new version is hidden from the customers and process workers. Copies of user requests are partially simulated and partially executed by the new version as if it were running in the production. We present an architecture, algorithm, and implementation of the approach, which isolates new versions from production, facilitates fair comparison, and manages the overhead of running shadow tests. We demonstrate the efficacy of our technique by evaluating the executions of synthetic and realistic process redesigns. More... »

PAGES

153-171

References to SciGraph publications

  • 2013. Patterns as an Artifact for Business Process Improvement - Insights from a Case Study in DESIGN SCIENCE AT THE INTERSECTION OF PHYSICAL AND VIRTUAL DESIGN
  • 2015. Business Process Simulation Survival Guide in HANDBOOK ON BUSINESS PROCESS MANAGEMENT 1
  • 2018-05-17. AB Testing for Process Versions with Contextual Multi-armed Bandit Algorithms in ADVANCED INFORMATION SYSTEMS ENGINEERING
  • 2017-08-10. AB-BPM: Performance-Driven Instance Routing for Business Process Improvement in BUSINESS PROCESS MANAGEMENT
  • 2018. Fundamentals of Business Process Management in NONE
  • 2009-02. Controlled experiments on the web: survey and practical guide in DATA MINING AND KNOWLEDGE DISCOVERY
  • Book

    TITLE

    On the Move to Meaningful Internet Systems. OTM 2018 Conferences

    ISBN

    978-3-030-02609-7
    978-3-030-02610-3

    From Grant

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-030-02610-3_9

    DOI

    http://dx.doi.org/10.1007/978-3-030-02610-3_9

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1107688540


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