Measurement in business processes: a systematic review

– The purpose of this paper is to analyze the current state of the art and trends with regard to business process measurement by means of a systematic review of literature., – The results are obtained through a systematic review carried out according to existing relevant guidelines. Additionally, a specific methodology through which to systematically obtain all the most important journals is followed. In total, 19 relevant articles are selected and later analyzed. A subsequent critical analysis of the data obtained is applied to identify the gaps in the current literature., – A considerable effort has been made by researchers in the field of business process measurement, particularly in recent years. Many of the defined measures for business processes have been applied to models (approximately 77 per cent). Most of the initiatives concerning business measurement have been adapted from the software engineering field. A small percentage of the existing business process measures has been empirically validated., – The results presented contribute towards providing an updated overview of the current state of research into business process measurement, in order to identify existing research gaps and concerns on which ongoing and future research efforts on this topic can be focused.

[1]  Stefan Biffl,et al.  A Family of Experiments to Investigate the Influence of Context on the Effect of Inspection Techniques , 2002 .

[2]  Marvin V. Zelkowitz,et al.  Experimental Models for Validating Technology , 1998, Computer.

[3]  Sandro Morasca,et al.  Property-Based Software Engineering Measurement , 1996, IEEE Trans. Software Eng..

[4]  Thierry Bodhuin,et al.  A framework for measuring business processes based on GQM , 2004, 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the.

[5]  Jan Mendling,et al.  Dimensions of Business Processes Quality (QoBP) , 2008, Business Process Management Workshops.

[6]  Jan Mendling,et al.  On a Quest for Good Process Models: The Cross-Connectivity Metric , 2008, CAiSE.

[7]  Akhil Kumar,et al.  New Quality Metrics for Evaluating Process Models , 2008, Business Process Management Workshops.

[8]  Jan Mendling,et al.  Metrics for Process Models: Empirical Foundations of Verification, Error Prediction, and Guidelines for Correctness , 2008, Lecture Notes in Business Information Processing.

[9]  Jan Mendling,et al.  Error Metrics for Business Process Models , 2007, CAiSE Forum.

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

[11]  Mario Piattini,et al.  Towards a consistent terminology for software measurement , 2006, Inf. Softw. Technol..

[12]  Félix García,et al.  Measurement and Maturity of Business Processes , 2009, Handbook of Research on Business Process Modeling.

[13]  Norman E. Fenton,et al.  Measurement : A Necessary Scientific Basis , 2004 .

[14]  Jan Mendling,et al.  What Makes Process Models Understandable? , 2007, BPM.

[15]  Jorge S. Cardoso,et al.  An entropy-based uncertainty measure of process models , 2011, Inf. Process. Lett..

[16]  Mario Piattini,et al.  Software process improvement in small and medium software enterprises: a systematic review , 2008, Software Quality Journal.

[17]  Adam A. Porter,et al.  Empirical studies of software engineering: a roadmap , 2000, ICSE '00.

[18]  William A. Florac,et al.  Goal-Driven Software Measurement. A Guidebook. , 1996 .

[19]  Volker Gruhn,et al.  Adopting the Cognitive Complexity Measure for Business Process Models , 2006, 2006 5th IEEE International Conference on Cognitive Informatics.

[20]  Valdis Vitolins Business Process Measures , 2004, ArXiv.

[21]  Markus Schwaninger,et al.  Measurement and control of business processes , 2001 .

[22]  Jae-Yoon Jung Measuring Entropy in Business Process Models , 2008, 2008 3rd International Conference on Innovative Computing Information and Control.

[23]  Jorge S. Cardoso,et al.  Process control-flow complexity metric: An empirical validation , 2006, 2006 IEEE International Conference on Services Computing (SCC'06).

[24]  Linda M. Laird,et al.  Software Measurement and Estimation: A Practical Approach , 2006 .

[25]  Volker Gruhn,et al.  Complexity Metrics for business Process Models , 2006, BIS.

[26]  Natalia Juristo Juzgado,et al.  Basics of Software Engineering Experimentation , 2010, Springer US.

[27]  Howard Smith,et al.  Business Process Management: The Third Wave , 2003 .

[28]  A. Selçuk Güceglioglu,et al.  Using Software Quality Characteristics to Measure Business Process Quality , 2005, Business Process Management.

[29]  Mario Piattini,et al.  Evaluation measures for business process models , 2006, SAC.

[30]  Ron Weber,et al.  Research Commentary: Information Systems and Conceptual Modeling - A Research Agenda , 2002, Inf. Syst. Res..

[31]  Guilherme Horta Travassos,et al.  Scientific research ontology to support systematic review in software engineering , 2007, Adv. Eng. Informatics.

[32]  A. Parasuraman,et al.  Delivering quality service : balancing customer perceptions and expectations , 1990 .

[33]  Carsten Felden,et al.  Optimizing Process Performance Visibility through Additional Descriptive Features in Performance Measurement , 2011, 2011 IEEE 15th International Enterprise Distributed Object Computing Conference Workshops.

[34]  Paula Gomes Mian,et al.  Systematic Review in Software Engineering , 2005 .

[35]  Beate List,et al.  Extending the EPC with performance measures , 2007, SAC '07.

[36]  L. Briand,et al.  Theoretical and Empirical Validation of Software Product Measures , 1995 .

[37]  Jorge S. Cardoso,et al.  Business Process Quality Metrics: Log-Based Complexity of Workflow Patterns , 2007, OTM Conferences.

[38]  Claes Wohlin,et al.  Experimentation in software engineering: an introduction , 2000 .

[39]  Ljubica Milanović Glavan,et al.  Understanding Process Performance Measurement Systems , 2011 .