Qualifications Doctor of Philosophy - Griffith University Bachelor of Information Technology (First Class Honors) - Griffith University James is an Assistant Professor of Multimedia and Games at Bond University. He has been a lecturer for over eight years teaching numerous subjects including Project Management, Programming, Software Engineering, Multimedia Animation and Computer Games. He has several years of commercial industry experience in Software Engineering and Quality Assurance with companies such as Compaq Research and Development and KJ Ross and Associates. He has published papers in the area of Software Engineering and Artificial Intelligence with focus on Artificial Intelligent Pattern Recognition, Quality Assurance and Reliability.
Conference Papers
A meta-theoretic approach to theory integration in information systems (with Dirk Hovorka, K. R. Larsen, and Gavin Finnie), 46th Hawaii Conference of System Sciences (2013)
This research presents a meta-theoretic analysis of a nomological net for the purpose of identification...
Visualizing the core-periphery distinction: A meta-theoretical approach (with D. S. Hovorka, K. R. Larsen, and G. Finnie), 23rd Australasian Conference on Information Systems (ACIS) (2012)
As the specific parts of a theory are refined over time the core concepts and...
Identifying error prone paths in software with genetic algorithms (with Renate Sitte), IASTED International conference on software engineering (2006)
Although various methods have been applied for detecting and reducing errors in software, little research...
Identifying error proneness in path strata with genetic algorithms (with Renate Sitte), 12th Asia-Pacific software engineering conference (2005)
In earlier work we have demonstrated that GA can successfully identify error prone paths that...
Effectiveness of genetic algorithms for potential error detection in software using random error seeding (with Renate Sitte), IASTED International Conference on Software Engineering 2005 (2005)
This paper studies the effect of introducing random error seeding on the performance of Genetic...