Follow
Hoa Khanh Dam
Hoa Khanh Dam
Professor in Software Engineering, University of Wollongong
Verified email at uow.edu.au - Homepage
Title
Cited by
Cited by
Year
Comparing agent-oriented methodologies
KH Dam, M Winikoff
International Bi-Conference Workshop on Agent-Oriented Information Systems …, 2003
3312003
Deepjit: an end-to-end deep learning framework for just-in-time defect prediction
T Hoang, HK Dam, Y Kamei, D Lo, N Ubayashi
2019 IEEE/ACM 16th International Conference on Mining Software Repositories …, 2019
2642019
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
2432018
Explainable software analytics
HK Dam, T Tran, A Ghose
Proceedings of the 40th international conference on software engineering …, 2018
2062018
Automatic feature learning for predicting vulnerable software components
HK Dam, T Tran, T Pham, SW Ng, J Grundy, A Ghose
IEEE Transactions on Software Engineering 47 (1), 67-85, 2018
2052018
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
1642018
An empirical study of model-agnostic techniques for defect prediction models
J Jiarpakdee, CK Tantithamthavorn, HK Dam, J Grundy
IEEE Transactions on Software Engineering 48 (1), 166-185, 2020
1622020
A deep language model for software code
HK Dam, T Tran, T Pham
arXiv preprint arXiv:1608.02715, 2016
1482016
Automatic feature learning for vulnerability prediction
HK Dam, T Tran, T Pham, SW Ng, J Grundy, A Ghose
arXiv preprint arXiv:1708.02368, 2017
1452017
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
1272014
Lessons learned from using a deep tree-based model for software defect prediction in practice
HK Dam, T Pham, SW Ng, T Tran, J Grundy, A Ghose, T Kim, CJ Kim
2019 IEEE/ACM 16th International Conference on Mining Software Repositories …, 2019
1262019
Towards effective AI-powered agile project management
HK Dam, T Tran, J Grundy, A Ghose, Y Kamei
2019 IEEE/ACM 41st international conference on software engineering: new …, 2019
1202019
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
952003
Strategic alignment of business processes
ED Morrison, AK Ghose, HK Dam, KG Hinge, K Hoesch-Klohe
Service-Oriented Computing-ICSOC 2011 Workshops: ICSOC 2011, International …, 2012
852012
Predicting delivery capability in iterative software development
M Choetkiertikul, HK Dam, T Tran, A Ghose, J Grundy
IEEE Transactions on Software Engineering 44 (6), 551-573, 2017
702017
Predicting the delay of issues with due dates in software projects
M Choetkiertikul, HK Dam, T Tran, A Ghose
Empirical Software Engineering 22, 1223-1263, 2017
622017
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
612015
Evaluating and comparing agent-oriented software engineering methodologies
KH Dam
School of Computer Science and Information Technology, RMIT University …, 2003
59*2003
Towards a next-generation AOSE methodology
HK Dam, M Winikoff
Science of Computer Programming 78 (6), 684-694, 2013
532013
Graph classification via deep learning with virtual nodes
T Pham, T Tran, H Dam, S Venkatesh
arXiv preprint arXiv:1708.04357, 2017
492017
The system can't perform the operation now. Try again later.
Articles 1–20