Workshop on Methodologies for Robustness Injectioninto Business Processes

Workshop to be held in conjunction with the 17th IEEE International EDOC Conference (EDOC 2013), "The Enterprise Computing Conference", 9–13 September 2013, Vancouver, Canada.

Important Dates

Paper Submission: April 29th, 2013
Paper Notification: May 31st, 2013
Camera Ready Copy: June 21st, 2013
Workshop: September 10th, 2013 @8:30am


Laboratory for research on technology for ecommerce

Xerox Innovation Group

IBM Research


2013-07-26 Program available
The MRI-BP'2013 program is now online. Please feel free to share and invite colleagues to the workshop.
2013-07-12 Keynote speech
We are glad to announce the participation of M. Thomas Erl at the MRI-BP workshop. M. Erl will give the introductory keynote speech (abstract tba). Please checkout the keynote page to read the bio of M. Erl.

About MRI-BP'2013

The objective of this workshop is to bring together researchers and practitioners interested in business process robustness and in methodologies for injecting robustness artifacts and mechanisms (exception handling activities, service level agreements, compensation processes, etc.) in process models through assistive or automated techniques. The workshop seeks contributions that have used reasoning on process semantics, discovery of process attributes (performance, organizational), proactive BAM models, and process repair and extension, for the purpose of enhancing the resilience of a process model or of the modeling process.


Main Topics

The areas for contribution include, but are not limited to, the following:

  • Resilient processes / Process flexibility
  • Reasoning and semantics of business processes
  • Ontological frameworks for contingency inference
  • Assistive techniques for robust process modeling
  • Compensation and exception handling mechanisms
  • Process enhancement through repair and extension
  • Business transaction management
  • Improving scope of BAM techniques
  • Business process analytics
  • Correlation of events within process data
  • Monitoring and exception handling in data-centric business processes
  • Process recovery mechanisms