Refining Process Models through the Analysis of Informal Work Practice

The work presented in this paper explores the potential of leveraging the traces of informal work and collaboration in order to improve business processes over time. As process executions often differ from the original design due to individual preferences, skills or competencies and exceptions, we propose methods to analyse personal preferences of work, such as email communication and personal task execution in a task management application. Outcome of these methods is the detection of internal substructures (subtasks or branches) of activities on the one hand and the recommendation of resources to be used in activities on the other hand, leading to the improvement of business process models. Our first results show that even though human intervention is still required to operationalise these insights it is indeed possible to derive interesting and new insights about business processes from traces of informal work and infer suggestions for process model changes.

[1]  Knut Hinkelmann,et al.  KISS - Knowledge-Intensive Service Support: An Approach for Agile Process Management , 2007, RuleML.

[2]  Andreas Martin,et al.  Agile Process Execution with Kissmir , 2010, SBPM.

[3]  William W. Cohen,et al.  Recommending Recipients in the Enron Email Corpus , 1972 .

[4]  Isidro Ramos,et al.  Advances in Database Technology — EDBT'98 , 1998, Lecture Notes in Computer Science.

[5]  Stéphane Ayache,et al.  Classifier Fusion for SVM-Based Multimedia Semantic Indexing , 2007, ECIR.

[6]  Alexander L. Wolf,et al.  Discovering models of software processes from event-based data , 1998, TSEM.

[7]  van der Wmp Wil Aalst,et al.  EMailAnalyzer : an e-mail mining plug-in for the ProM framework , 2007 .

[8]  Dimitrios Gunopulos,et al.  Mining Process Models from Workflow Logs , 1998, EDBT.

[9]  Massimo Mecella,et al.  Groupware Mail Messages Analysis for Mining Collaborative Processes , 2011, SEBD.

[10]  Emanuela Merelli,et al.  The Role of Content and Context in Enterprise Repositories , 2010, BPM 2010.

[11]  Bo Hu,et al.  A Collaborative Approach to Maturing Process-Related Knowledge , 2010, BPM.

[12]  Andreas Abecker,et al.  Toward a Technology for Organizational Memories , 1998, IEEE Intell. Syst..

[13]  Wil M. P. van der Aalst,et al.  Process mining: a research agenda , 2004, Comput. Ind..

[14]  Wil M. P. van der Aalst,et al.  Exploring the CSCW spectrum using process mining , 2007, Adv. Eng. Informatics.

[15]  Christian Biemann,et al.  ASV Toolbox: a Modular Collection of Language Exploration Tools , 2008, LREC.

[16]  Peter Ingwersen,et al.  Developing a Test Collection for the Evaluation of Integrated Search , 2010, ECIR.

[17]  Knut Hinkelmann,et al.  Mining of Agile Business Processes , 2011, AAAI Spring Symposium: AI for Business Agility.

[18]  Wil M. P. van der Aalst,et al.  Mining of ad-hoc business processes with TeamLog , 2005, Data Knowl. Eng..