Applying Evaluations While Building the Artifact -- Experiences from the Development of Process Model Complexity Metrics

The Design Science Research method is decisive for the quality of the resulting solution. Thus, many discussions focus the evaluation of the solution at the end of the Design Science cycle. But design, implementation and evaluation of artifacts are laborious and need to be repeated if the artifact does not meet the evaluation criteria. Thus, recent works have proposed to conduct additional evaluations early in the Design Science process to possibly reduce the number of repetitions of the research process. However, such early evaluations may also be an unnecessary burden. Therefore, this work presents a case where these additional evaluations are applied ex-post in a practical research project which developed process model complexity metrics and the outcomes are compared. Once compared, benefits and limitations of early evaluations are discussed.

[1]  Hanêne Ben-Abdallah,et al.  Quality metrics for business process modeling , 2009 .

[2]  Chris F. Kemerer,et al.  A Metrics Suite for Object Oriented Design , 2015, IEEE Trans. Software Eng..

[3]  Vijay K. Vaishnavi,et al.  Design Science Research Methods and Patterns: Innovating Information and Communication Technology , 2007 .

[4]  Jan vom Brocke,et al.  Evaluations in the Science of the Artificial - Reconsidering the Build-Evaluate Pattern in Design Science Research , 2012, DESRIST.

[5]  Jay F. Nunamaker,et al.  Systems Development in Information Systems Research , 1990, J. Manag. Inf. Syst..

[6]  Florian Johannsen,et al.  Coupling Metrics for EPC Models , 2013, Wirtschaftsinformatik.

[7]  Shirley Gregor,et al.  Forms of Reasoning in the Design Science Research Process , 2011, DESRIST.

[8]  S. Zugal Applying Cognitive Psychology for Improving the Creation, Understanding and Maintenance of Business Process Models , 2013 .

[9]  Philipp Griesberger Developing the Evaluation of a Pattern-Based Approach for Business Process Improvement , 2014, DESRIST.

[10]  Alan R. Hevner,et al.  Design Science Research Frameworks , 2010 .

[11]  Marten Schönherr,et al.  Outline of a design science research process , 2009, DESRIST.

[12]  Jan Mendling,et al.  An Empirical Investigation on the Design of Process Architectures , 2013, Wirtschaftsinformatik.

[13]  Florian Johannsen,et al.  Testing the Impact of Wand and Weber's Decomposition Model on Process Model Understandability , 2014, ICIS.

[14]  Paul Veerkamp,et al.  Modeling design processes , 1990 .

[15]  Jan Pries-Heje,et al.  Soft Design Science Research: Extending the Boundaries of Evaluation in Design Science Research , 2007 .

[16]  Juhani Iivari,et al.  A Paradigmatic Analysis of Information Systems As a Design Science , 2007, Scand. J. Inf. Syst..

[17]  Hajo A. Reijers,et al.  Evaluating workflow process designs using cohesion and coupling metrics , 2008, Comput. Ind..

[18]  Jan Pries-Heje,et al.  The Design Theory Nexus , 2008, MIS Q..

[19]  R. Flood,et al.  Dealing with Complexity , 1988, Springer US.

[20]  Shirley Gregor,et al.  The Anatomy of a Design Theory , 2007, J. Assoc. Inf. Syst..

[21]  Sandeep Purao,et al.  Action Design Research , 2011, MIS Q..

[22]  Tony Cornford,et al.  A critical approach to evaluation , 2005, Eur. J. Inf. Syst..

[23]  Vijay K. Vaishnavi,et al.  Theory Development in Design Science Research: Anatomy of a Research Project , 2008 .

[24]  Jan Mendling,et al.  Quality metrics for business process models , 2007 .

[25]  Samir Chatterjee,et al.  A Design Science Research Methodology for Information Systems Research , 2008 .

[26]  H. Simon,et al.  The sciences of the artificial (3rd ed.) , 1996 .

[27]  Salvatore T. March,et al.  Design and natural science research on information technology , 1995, Decis. Support Syst..

[28]  Jan Pries-Heje,et al.  A Comprehensive Framework for Evaluation in Design Science Research 1 , 2022 .

[29]  Jan Pries-Heje,et al.  Strategies for Design Science Research Evaluation , 2008, ECIS.

[30]  Elaine J. Weyuker,et al.  Evaluating Software Complexity Measures , 2010, IEEE Trans. Software Eng..

[31]  Martin Bichler,et al.  Design science in information systems research , 2006, Wirtschaftsinf..

[32]  M. Helfert,et al.  Evaluation Patterns for Design Science Research Artefacts , 2014 .

[33]  Paul D. Scott,et al.  New Coupling and Cohesion Metrics for Evaluation of Software Component Reusability , 2008, 2008 The 9th International Conference for Young Computer Scientists.

[34]  Paul Veerkamp,et al.  Modeling Design Process , 1990, AI Mag..