Hoa Khanh Dam

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Aditya GhoseProfessor of Computer Science, University of WollongongVerified email at uow.edu.au
Truyen TranAssociate Professor | Head of AI, Health and Science @ Deakin UniversityVerified email at deakin.edu.au
Morakot Choetkiertikul, Ph.D.Lecture at Faculty of ICT, Mahidol UniversityVerified email at mahidol.ac.th
Michael WinikoffProfessor, Victoria University of Wellington, New ZealandVerified email at vuw.ac.nz
Lam-Son LêHCMC University of Technology (VNU-HCM)Verified email at alumni.epfl.ch
Bastin Tony Roy SavarimuthuAssociate Professor, University of OtagoVerified email at infoscience.otago.ac.nz
Evan MorrisonExpert and decision support systems instituteVerified email at uowmail.edu.au
Konstantin Hoesch-KloheUniversity of WollongongVerified email at uow.edu.au
Alexander EgyedProfessor of Software-Intensive Systems, Johannes Kepler University Linz, AustriaVerified email at jku.at
Yingzhi GouXplore WealthVerified email at uowmail.edu.au
Lin PadghamProfessor of Artificial Intelligence, School of Computing Technologies, RMIT UniversityVerified email at rmit.edu.au
Alexis A Miller, A Andrew Miller, Andre...Centre for Oncology Informatics, University of Wollongong, Palmerston North, Illawarra Cancer CareVerified email at sesiahs.health.nsw.gov.au
Schahram DustdarProfessor of Computer Science, Member of Academia Europaea, IEEE Fellow, TU Wien, AustriaVerified email at dsg.tuwien.ac.at
Hong-Linh TruongAalto UniversityVerified email at aalto.fi
Xiaodong Li, IEEE FellowProfessor, School of Computing Technologies, RMIT University, MelbourneVerified email at rmit.edu.au

Hoa Khanh Dam

Associate Professor in Software Engineering, University of Wollongong

Verified email at uow.edu.au - Homepage

Software Engineering Artificial Intelligence Data Analytics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Comparing agent-oriented methodologies KH Dam, M Winikoff International Bi-Conference Workshop on Agent-Oriented Information Systems …, 2003	316	2003
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	132	2018
Explainable software analytics HK Dam, T Tran, A Ghose Proceedings of the 40th international conference on software engineering …, 2018	114	2018
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	106	2014
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	98	2018
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	95	2018
A deep language model for software code HK Dam, T Tran, T Pham arXiv preprint arXiv:1608.02715, 2016	94	2016
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	92	2003
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	86	2019
Automatic feature learning for vulnerability prediction HK Dam, T Tran, T Pham, SW Ng, J Grundy, A Ghose arXiv preprint arXiv:1708.02368, 2017	73	2017
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	67	2011
An empirical study of model-agnostic techniques for defect prediction models J Jiarpakdee, C Tantithamthavorn, HK Dam, J Grundy IEEE Transactions on Software Engineering, 2020	60	2020
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	53	2019
Evaluating and comparing agent-oriented software engineering methodologies KH Dam School of Computer Science and Information Technology, RMIT University …, 2003	52*	2003
Towards a next-generation AOSE methodology HK Dam, M Winikoff Science of Computer Programming 78 (6), 684-694, 2013	49	2013
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	47	2006
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	45	2017
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	44	2015
Predicting the delay of issues with due dates in software projects M Choetkiertikul, HK Dam, T Tran, A Ghose Empirical Software Engineering 22 (3), 1223-1263, 2017	41	2017
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	34	2015

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