Hoa Khanh Dam
Hoa Khanh Dam
Associate Professor in Software Engineering, University of Wollongong
Verified email at uow.edu.au - Homepage
TitleCited byYear
Comparing agent-oriented methodologies
KH Dam, M Winikoff
International Bi-Conference Workshop on Agent-Oriented Information Systems …, 2003
Comparing particle swarms for tracking extrema in dynamic environments
X Li, KH Dam
The 2003 Congress on Evolutionary Computation, 2003. CEC'03. 3, 1772-1779, 2003
Simultaneous nitrification/denitrification and trace organic contaminant (TrOC) removal by an anoxic–aerobic membrane bioreactor (MBR)
HV Phan, FI Hai, J Kang, HK Dam, R Zhang, WE Price, A Broeckmann, ...
Bioresource technology 165, 96-104, 2014
Strategic alignment of business processes
ED Morrison, AK Ghose, HK Dam, KG Hinge, K Hoesch-Klohe
International Conference on Service-Oriented Computing, 9-21, 2011
Evaluating and comparing agent-oriented software engineering methodologies
KH Dam
School of Computer Science and Information Technology, RMIT University …, 2003
An agent-oriented approach to change propagation in software evolution
KH Dam, M Winikoff, L Padgham
Australian Software Engineering Conference (ASWEC'06), 10 pp.-318, 2006
Towards a next-generation AOSE methodology
HK Dam, M Winikoff
Science of Computer Programming 78 (6), 684-694, 2013
A deep language model for software code
HK Dam, T Tran, T Pham
arXiv preprint arXiv:1608.02715, 2016
A deep learning model for estimating story points
M Choetkiertikul, HK Dam, T Tran, T Pham, A Ghose, T Menzies
IEEE Transactions on Software Engineering 45 (7), 637-656, 2018
Supporting change propagation in UML models
HK Dam, M Winikoff
2010 IEEE International Conference on Software Maintenance, 1-10, 2010
Characterization and prediction of issue-related risks in software projects
M Choetkiertikul, HK Dam, T Tran, A Ghose
2015 IEEE/ACM 12th Working Conference on Mining Software Repositories, 280-291, 2015
An agent-oriented approach to change propagation in software maintenance
HK Dam, M Winikoff
Autonomous Agents and Multi-Agent Systems 23 (3), 384-452, 2011
A deep tree-based model for software defect prediction
HK Dam, T Pham, SW Ng, T Tran, J Grundy, A Ghose, T Kim, CJ Kim
arXiv preprint arXiv:1802.00921, 2018
Predicting delays in software projects using networked classification (t)
M Choetkiertikul, HK Dam, T Tran, A Ghose
2015 30th IEEE/ACM International Conference on Automated Software …, 2015
Explainable software analytics
HK Dam, T Tran, A Ghose
Proceedings of the 40th International Conference on Software Engineering …, 2018
Automatic feature learning for vulnerability prediction
HK Dam, T Tran, T Pham, SW Ng, J Grundy, A Ghose
arXiv preprint arXiv:1708.02368, 2017
The uses of norms
MP Singh, M Arrott, T Balke, AK Chopra, R Christiaanse, S Cranefield, ...
Dagstuhl Follow-Ups 4, 2013
Supporting change propagation in the evolution of enterprise architectures
HK Dam, LS Le, A Ghose
2010 14th IEEE International Enterprise Distributed Object Computing …, 2010
Managing changes in the enterprise architecture modelling context
HK Dam, LS Lę, A Ghose
Enterprise Information Systems 10 (6), 666-696, 2016
DeepSoft: A vision for a deep model of software
HK Dam, T Tran, J Grundy, A Ghose
Proceedings of the 2016 24th ACM SIGSOFT International Symposium on …, 2016
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