Global Utilities

Research - Current Postgraduates - Details

Department of Computer Science & Computer Engineering

Thompson, Sean
Course: PhD
Research Title/Topic: Detection of Process Non-Conformance
Supervisor: Dr. Torab Torabi
Description:
Many different process models and prescriptions exist in many different domains with varying levels of complexity, importance and purposes. Some, such as manufacturing processes may be stringent and demand a strict level of conformance when being enacted and others, like software processes may accommodate a certain degree of flexibility. A methodology to detect instances of non-conformance between a process model and its enactments, along with how severe the non-conformance might be, provides us with an opportunity to stem the potential consequences eventuating, address root causes, help prevention of reoccurrence and even identify positive instances where the non-conformance has benefited the outcome of the process. Thus, this research can help to improve the process as well as maintain process quality. The challenge here is to formalize a methodology which can be applied to a wide range of different process models/prescriptions across multiple domains as simply as possible.
Content Approved by: Head of School
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Last Updated: 14 October, 2009