14th Working Conference on Reverse Engineering (WCRE 2007) Parametric Process Model Inference Vancouver, BC, Canada October 28-October 31 ISBN: 0-7695-3034-6
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/WCRE.2007.36
Legacy applications can be difficult and time-consuming to understand and update due to the lack of modern ab- straction mechanisms in legacy languages, as well as the gradual deterioration of code due to repeated maintenance activities. We present an approach for reverse engineering process model abstractions from legacy code. Such a pro- cess model can provide a quick initial understanding of an application, and can be a useful starting point for further program exploration. Our approach takes as input a user specification of interesting events, and creates a represen- tation (i.e., a process model) that concisely depicts the oc- currences of the events and the possible control-flow among them. The key features of our approach are the use of a logi- cal data model of the program for specifying the events, and graph-projection techniques for creating the process model.
Citation:
Saurabh Sinha, G. Ramalingam, Raghavan Komondoor, "Parametric Process Model Inference," wcre, pp.21-30, 14th Working Conference on Reverse Engineering (WCRE 2007), 2007 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||