Options
EcoKnow: Engineering Effective, Co-created and Compliant Adaptive Case Management Systems for Knowledge Workers
Type
conference paper
Date Issued
2020
Author(s)
Hildebrandt, Thomas
Abbad Andaloussi, Amine
Christensen, Lars Rune
Debois, Søren
Healy, Nicklas Pape
López, Hugo A.
Marquard, Morten
Møller, Naja L. Holten
Møller Petersen, Anette Chelina
Slaats, Tijs
Abstract (De)
We report on a new approach to co-creating adaptive case management systems jointly with end-users, developed in the context of the Effective co-created and compliant adaptive case Management Systems for Knowledge Workers (EcoKnow.org) research project. The approach is based on knowledge from prior ethnographic field studies and research in the declarative Dynamic Condition Response (DCR) technology for model-driven design of case management systems. The approach was tested in an operational environment jointly with the danish municipality of Syddjurs by conducting a service-design project and implementing an open source case manager tool and a new highlighter tool for mapping between textual specifications and the DCR notation. The design method and technologies were evaluated by understandability studies with endusers. The study showed that the development could be done in just 6 months, and that the new highlighter tool in combination with the traditional design and simulation tools, supports domain experts formalise and provide traceability between their interpretations of textual specifications and the formal models.
Language
English
Keywords
Agile
Adaptive case management
Regulatory compliance
Traceability
Service design
Co-creation
Local government
Declarative models
Understandability
Prototyping
Case study
HSG Classification
contribution to scientific community
Publisher
Association for Computing Machinery
Publisher place
United States
Start page
155
End page
164
Event Title
Proceedings of International Conference on Software and Systems Process (ICSSP)
Subject(s)
Division(s)
Contact Email Address
barbara.weber@unisg.ch
Additional Information
2020 International Conference on Software and Systems Process, ICSSP 2020; Conference date: 26-06-2020 Through 28-06-2020
Eprints ID
260483