Incremental system engineering using process networks

Authors:
Avishkar Misra;Arcot Sowmya;Paul Compton
Affiliations:
School of Computer Science & Engineering, University of New South Wales, Sydney, Australia;School of Computer Science & Engineering, University of New South Wales, Sydney, Australia;School of Computer Science & Engineering, University of New South Wales, Sydney, Australia
Venue:
PKAW'10 Proceedings of the 11th international conference on Knowledge management and acquisition for smart systems and services
Year:
2010

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Abstract

Engineering of complex intelligent systems often requires experts to decompose the task into smaller constituent processes. This allows the domain experts to identify and solve specific sub-tasks, which collectively solve the system's goals. The engineering of individual processes and their relationships represent a knowledge acquisition challenge, which is complicated by incremental ad-hoc revisions that are inevitable in light of evolving data and expertise. Incremental revisions introduce a risk of degrading the system and limit experts' ability to build complex intelligent systems. We present an incremental engineering method called ProcessNet that structures incremental ad-hoc changes to a system and mitigates the risks of the changes degrading the system. A medical image analysis application developed using ProcessNet demonstrates that despite a large number of ad-hoc, incremental changes the system's ability and accuracy in segmenting multiple anatomical regions in High Resolution Computed Tomography (HRCT) scans continue to improve.