Implementing business process recovery patterns through QVT transformations
ICMT'10 Proceedings of the Third international conference on Theory and practice of model transformations
An empirical comparison of static and dynamic business process mining
Proceedings of the 2011 ACM Symposium on Applied Computing
A family of case studies on business process mining using MARBLE
Journal of Systems and Software
A case study on business process recovery using an e-government system
Software—Practice & Experience
Empirical assessment of business model transformations based on model simulation
ICMT'12 Proceedings of the 5th international conference on Theory and Practice of Model Transformations
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Business processes are often implemented by means of software systems which expose them to the user as an externally accessible Web application. This paper describes a technique for recovering business processes by dynamic analysis of the Web applications which ex-pose them. This approach does not require full access to internal software artifacts, such as source code or doc-umentation. The business process is instead inferred through analysis of the GUI-forms exercised by the user during the navigation in the Web application which ex-poses the process. The recovered process is then abstracted by clustering its business tasks according to structural or logical criteria.A preliminary experiment has been conducted with the aim of evaluating understandability and readability of the reverse engineered business processes.