PhD Research (Information Systems)


Analysis and Evaluation of Collaborative Modeling Processes

 

Denis Ssebuggwawo

PhD student (Info. Sys.)  2008 – 2012

Enterprise Engineering (EE) Research Group, Department of Model-Based Systems Development (MBSD), currently, SwS

Institute of Computing and Information Sciences (iCIS), Radboud University Nijmegen (RUN)

Heyendaalseweg 135, 6525 AJ Nijmegen, The Netherlands, EU.

Supervisor (promotor): Prof. dr. Erik H.A. Proper, Co-supervisor (copromotor): Prof. dr. Stijn S.J.B.A. Hoppenbrouwers


 Abstract
 
Analysis and evaluation of collaborative modelling processes are confronted with many challenges. On the one hand, many systems design and re-engineering projects require collaborative modelling approaches that can enhance their productivity. But, such collaborative efforts, which often consist of the “modelling process” and the “modelling products” – the models – that are generated thereof, are facilitator-driven.  Analysis of such collaborative efforts requires us to have a glimpse inside the modelling process to know what takes place therein. Evaluation requires us to determine not only the quality of the models, but also that of the “modelling artifacts” that are used in, and produced from, such a collaborative modelling effort. However, the process of modelling is still a gray area – a black box that needs breaking the seal so that we can study, analyze and understand what takes place during collaborative modelling. Moreover, studying, analyzing and understanding what takes place during collaborative modelling still lacks a well-structured analysis and evaluation methodology.

In our research, we offer not only the well-structured methodology for analysis and evaluation but also an explanatory and descriptive theory that can be used to study, analyze and understand what takes place during collaborative modelling. Using communication theory as a basis, we develop the “Rules-Interactions-Models (RIM)” framework for the study and analysis of the collaborative modelling process. We also develop the “Collaborative Modeling Evaluation (COME)” framework, based on the Analytic Hierarchy Process (AHP), for the evaluation of the different modelling artifacts used in, and produced from, such a collaborative modelling process. The two frameworks are integrated into a meta-model that can serve as a template or blueprint for deriving the actual analysis and evaluation structures for the construction of a support-tool that incorporates analysis and evaluation concepts. The practical relevance of the frameworks and meta-model is that the different stakeholders involved in the modelling process can drive the modelling process themselves without the intervention of a facilitator, thus avoiding many bottlenecks associated with the so-called chauffeured modelling sessions. 

Check also these sites: Site 1 and Sites 2

Download full copy of PhD Thesis [PS PDF]

 

Note: You need gsview and Ghostscript to view Post Script (PS) files and Adobe Reader to view Portable Document Format (PDF) Files