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Khanh Hoa Dam
Hoa Khanh Dam
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2020 – today
- 2024
- [j29]Abdulaziz Alhefdhi, Hoa Khanh Dam, Aditya Ghose:
Towards automating self-admitted technical debt repayment. Inf. Softw. Technol. 167: 107376 (2024) - [j28]Ahmed Saeed Alsayed, Hoa Khanh Dam, Aditya Ghose, Chau Nguyen:
StraAlgin: Automated Strategic Alignment of Services. IEEE Trans. Serv. Comput. 17(3): 1212-1226 (2024) - [c90]Geeta Mahala, Özgür Kafali, Hoa Khanh Dam, Aditya Ghose, Munindar P. Singh:
Toward a Normative Approach for Resilient Multiagent Systems: A Summary. AAMAS 2024: 2836-2838 - [c89]Geeta Mahala, Aditya Ghose, Hoa Khanh Dam, Angela Consoli:
Verifying Multi -Agent Coordination Correctness for BDI Agents. COMPSAC 2024: 21-26 - [c88]Alan Colman, Quoc Bao Vo, Anton V. Uzunov, Saad Sajid Hashmi, Hoa Khanh Dam, Mohan Baruwal Chhetri:
Microcompositions for Goal-Driven Self-Adaptation. COMPSAC 2024: 1318-1323 - [c87]Ahmed Saeed Alsayed, Hoa Khanh Dam, Chau Nguyen:
MicroRec: Leveraging Large Language Models for Microservice Recommendation. MSR 2024: 419-430 - 2023
- [j27]Geeta Mahala, Özgür Kafali, Hoa Khanh Dam, Aditya Ghose, Munindar P. Singh:
A normative approach for resilient multiagent systems. Auton. Agents Multi Agent Syst. 37(2): 46 (2023) - [j26]Pattaraporn Sangaroonsilp, Morakot Choetkiertikul, Hoa Khanh Dam, Aditya Ghose:
An empirical study of automated privacy requirements classification in issue reports. Autom. Softw. Eng. 30(2): 20 (2023) - [j25]Ahmad Alelaimat, Aditya Ghose, Hoa Khanh Dam:
XPlaM: A toolkit for automating the acquisition of BDI agent-based Digital Twins of organizations. Comput. Ind. 145: 103805 (2023) - [j24]Pattaraporn Sangaroonsilp, Hoa Khanh Dam, Morakot Choetkiertikul, Chaiyong Ragkhitwetsagul, Aditya Ghose:
A taxonomy for mining and classifying privacy requirements in issue reports. Inf. Softw. Technol. 157: 107162 (2023) - [j23]Hoa Khanh Dam, Aditya Ghose, Nigel Gilbert, Munindar P. Singh:
Understanding Responsible Computing via Project Management for Sustainability. IEEE Internet Comput. 27(6): 37-42 (2023) - [j22]Francisco Bráulio Oliveira, Davoud Mougouei, Amanul Haque, Jaime Simão Sichman, Hoa Khanh Dam, Simon Evans, Aditya Ghose, Munindar P. Singh:
Beyond fear and anger: A global analysis of emotional response to Covid-19 news on Twitter. Online Soc. Networks Media 36: 100253 (2023) - [j21]Rashina Hoda, Hoa Khanh Dam, Chakkrit Tantithamthavorn, Patanamon Thongtanunam, Margaret-Anne D. Storey:
Augmented Agile: Human-Centered AI-Assisted Software Management. IEEE Softw. 40(4): 106-109 (2023) - [j20]Swasti Khurana, Novarun Deb, Sajib Mistry, Aditya Ghose, Aneesh Krishna, Hoa Khanh Dam:
Egalitarian Transient Service Composition in Crowdsourced IoT Environment. IEEE Trans. Serv. Comput. 16(5): 3305-3317 (2023) - [c86]Saad Sajid Hashmi, Hoa Khanh Dam, Anton V. Uzunov, Mohan Baruwal Chhetri, Aditya Ghose, Alan Colman:
Goal-Driven Adversarial Search for Distributed Self-Adaptive Systems. SSE 2023: 198-209 - [c85]Ahmad Alelaimat, Aditya Ghose, Hoa Khanh Dam:
Mining and Validating Belief-Based Agent Explanations. EXTRAAMAS 2023: 3-17 - [c84]Ahmad Alelaimat, Aditya Ghose, Hoa Khanh Dam:
Leveraging Imperfect Explanations for Plan Recognition Problems. EXTRAAMAS 2023: 231-248 - [c83]Xing Hu, Hoa Khanh Dam:
Future of Software Engineering @ ICSE 2023. ICSE-FoSE 2023: 1-3 - [c82]Pattaraporn Sangaroonsilp, Hoa Khanh Dam, Aditya Ghose:
On Privacy Weaknesses and Vulnerabilities in Software Systems. ICSE 2023: 1071-1083 - [i21]Asjad Khan, Aditya Ghose, Hoa Khanh Dam, Arsal Syed:
A Survey of Process-Oriented Data Science and Analytics for supporting Business Process Management. CoRR abs/2301.10398 (2023) - [i20]Asjad Khan, Arsal Huda, Aditya Ghose, Hoa Khanh Dam:
Towards Knowledge-Centric Process Mining. CoRR abs/2301.10927 (2023) - [i19]Thong Hoang, Hoa Khanh Dam, Tingting Bi, Qinghua Lu, Zhenchang Xing, Liming Zhu, Lam Duc Nguyen, Shiping Chen:
Quantum Software Analytics: Opportunities and Challenges. CoRR abs/2307.11305 (2023) - 2022
- [j19]Abdulaziz Alhefdhi, Hoa Khanh Dam, Yusuf Sulistyo Nugroho, Hideaki Hata, Takashi Ishio, Aditya Ghose:
A framework for conditional statement technical debt identification and description. Autom. Softw. Eng. 29(2): 60 (2022) - [j18]Jirayus Jiarpakdee, Chakkrit Kla Tantithamthavorn, Hoa Khanh Dam, John C. Grundy:
An Empirical Study of Model-Agnostic Techniques for Defect Prediction Models. IEEE Trans. Software Eng. 48(2): 166-185 (2022) - [c81]Saad Sajid Hashmi, Hoa Khanh Dam, Peter Smet, Mohan Baruwal Chhetri:
Towards Antifragility in Contested Environments: Using Adversarial Search to Learn, Predict, and Counter Open-Ended Threats. ACSOS 2022: 141-146 - [c80]Aditya Ghose, Hoa Khanh Dam, Shunichiro Tomura, Dean Philp, Angela Consoli:
Goal-Oriented Coordination with Cumulative Goals. PRIMA 2022: 260-280 - [c79]Helena Ibro, Geeta Mahala, Simon Pulawski, Steven Harvey, Alexis Andrew Miller, Aditya Ghose, Hoa Khanh Dam:
DITURIA: A Framework for Decision Coordination Among Multiple Agents. PRIMA 2022: 492-508 - [i18]Quynh Nguyen, Dac H. Nguyen, Son T. Huynh, Hoa Khanh Dam, Binh T. Nguyen:
TaDeR: A New Task Dependency Recommendation for Project Management Platform. CoRR abs/2205.05976 (2022) - 2021
- [j17]Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Trang Pham, Chaiyong Ragkhitwetsagul, Aditya Ghose:
Automatically recommending components for issue reports using deep learning. Empir. Softw. Eng. 26(1): 14 (2021) - [j16]Hoa Khanh Dam, Truyen Tran, Trang Pham, Shien Wee Ng, John Grundy, Aditya Ghose:
Automatic Feature Learning for Predicting Vulnerable Software Components. IEEE Trans. Software Eng. 47(1): 67-85 (2021) - [c78]Simon Pulawski, Hoa Khanh Dam, Aditya Ghose:
BDI-Dojo: developing robust BDI agents in evolving adversarial environments. ACSOS-C 2021: 257-262 - [c77]Muhammad Asjad Khan, Aditya Ghose, Khanh Hoa Dam:
Decision Support for Knowledge Intensive Processes Using RL Based Recommendations. BPM (Forum) 2021: 246-262 - [c76]Simon Pulawski, Helena Ibro, Geeta Mahala, Aditya Ghose, Hoa Khanh Dam:
Extracting and Leveraging Value from a Decision Interdependency Network (DIN) in a Policing/Law Enforcement Setting. EDOC Workshops 2021: 28-37 - [c75]Davoud Mougouei, Aditya Ghose, Hoa Khanh Dam, Mahdi Fahmideh, David M. W. Powers:
A Fuzzy-Based Requirement Selection Method for Considering Value Dependencies in Software Release Planning. FUZZ-IEEE 2021: 1-6 - [c74]Asjad Khan, Hung Le, Kien Do, Truyen Tran, Aditya Ghose, Hoa Khanh Dam, Renuka Sindhgatta:
DeepProcess: Supporting Business Process Execution Using a MANN-Based Recommender System. ICSOC 2021: 19-33 - [c73]Asjad Khan, Aditya Ghose, Hoa Khanh Dam:
Cross-Silo Process Mining with Federated Learning. ICSOC 2021: 612-626 - [i17]Pattaraporn Sangaroonsilp, Hoa Khanh Dam, Morakot Choetkiertikul, Chaiyong Ragkhitwetsagul, Aditya Ghose:
A Taxonomy for Mining and Classifying Privacy Requirements in Issue Reports. CoRR abs/2101.01298 (2021) - [i16]Davoud Mougouei, Aditya K. Ghose, Hoa Khanh Dam, David M. W. Powers:
Human Values in Software Release Planning. CoRR abs/2102.02584 (2021) - [i15]Pattaraporn Sangaroonsilp, Hoa Khanh Dam, Morakot Choetkiertikul, Chaiyong Ragkhitwetsagul, Aditya Ghose:
Mining and Classifying Privacy and Data Protection Requirements in Issue Reports. CoRR abs/2112.13994 (2021) - [i14]Pattaraporn Sangaroonsilp, Hoa Khanh Dam, Aditya Ghose:
Common Privacy Weaknesses and Vulnerabilities in Software Applications. CoRR abs/2112.13997 (2021) - 2020
- [c72]Aditya Ghose, Geeta Mahala, Simon Pulawski, Hoa Khanh Dam:
The Future of Robotic Process Automation (RPA). ICSOC Workshops 2020: 273-280 - [c71]Geeta Mahala, Renuka Sindhgatta, Hoa Khanh Dam, Aditya Ghose:
Designing Optimal Robotic Process Automation Architectures. ICSOC 2020: 448-456 - [c70]Kinzang Chhogyal, Angela Consoli, Aditya Ghose, Hoa Khanh Dam:
G2I: A principled approach to leveraging the goal-to-information nexus in BDI agents. KES 2020: 2675-2684 - [c69]Ahmad Alelaimat, Aditya Ghose, Hoa Khanh Dam:
Abductive Design of BDI Agent-Based Digital Twins of Organizations. PRIMA 2020: 377-385 - [c68]Wisam Haitham Abbood Al-Zubaidi, Patanamon Thongtanunam, Hoa Khanh Dam, Chakkrit Tantithamthavorn, Aditya Ghose:
Workload-aware reviewer recommendation using a multi-objective search-based approach. PROMISE 2020: 21-30 - [i13]Abdulaziz Alhefdhi, Hoa Khanh Dam, Xuan-Bach Dinh Le, Aditya Ghose:
Adversarial Patch Generation for Automatic Program Repair. CoRR abs/2012.11060 (2020) - [i12]Abdulaziz Alhefdhi, Hoa Khanh Dam, Yusuf Sulistyo Nugroho, Hideaki Hata, Takashi Ishio, Aditya Ghose:
A Framework for Self-Admitted Technical Debt Identification and Description. CoRR abs/2012.12466 (2020)
2010 – 2019
- 2019
- [j15]Hoa Khanh Dam:
Artificial intelligence for software engineering. XRDS 25(3): 34-37 (2019) - [j14]Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Trang Pham, Aditya Ghose, Tim Menzies:
A Deep Learning Model for Estimating Story Points. IEEE Trans. Software Eng. 45(7): 637-656 (2019) - [c67]Yingzhi Gou, Aditya Ghose, Hoa Khanh Dam:
GameOfFlows: Process Instance Adaptation in Complex, Dynamic and Potentially Adversarial Domains. CAiSE 2019: 479-493 - [c66]Hoa Khanh Dam, Truyen Tran, John C. Grundy, Aditya Ghose, Yasutaka Kamei:
Towards effective AI-powered agile project management. ICSE (NIER) 2019: 41-44 - [c65]Jack Humphreys, Hoa Khanh Dam:
An explainable deep model for defect prediction. RAISE@ICSE 2019: 49-55 - [c64]Kinzang Chhogyal, Abhaya C. Nayak, Aditya Ghose, Hoa Khanh Dam:
A Value-based Trust Assessment Model for Multi-agent Systems. IJCAI 2019: 194-200 - [c63]Thong Hoang, Hoa Khanh Dam, Yasutaka Kamei, David Lo, Naoyasu Ubayashi:
DeepJIT: an end-to-end deep learning framework for just-in-time defect prediction. MSR 2019: 34-45 - [c62]Hoa Khanh Dam, Trang Pham, Shien Wee Ng, Truyen Tran, John C. Grundy, Aditya Ghose, Taeksu Kim, Chul-Joo Kim:
Lessons learned from using a deep tree-based model for software defect prediction in practice. MSR 2019: 46-57 - [i11]Kinzang Chhogyal, Abhaya C. Nayak, Aditya Ghose, Hoa Khanh Dam:
A Value-based Trust Assessment Model for Multi-agent Systems. CoRR abs/1905.13380 (2019) - 2018
- [j13]Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Aditya Ghose, John Grundy:
Predicting Delivery Capability in Iterative Software Development. IEEE Trans. Software Eng. 44(6): 551-573 (2018) - [c61]Wisam Haitham Abbood Al-Zubaidi, Hoa Khanh Dam, Morakot Choetkiertikul, Aditya Ghose:
Multi-Objective Iteration Planning in Agile Development. APSEC 2018: 484-493 - [c60]Hoa Khanh Dam:
Empowering Software Engineering with Artificial Intelligence. ASSRI 2018: 22-32 - [c59]Abdulaziz Alhefdhi, Hoa Khanh Dam, Hideaki Hata, Aditya Ghose:
Generating Pseudo-Code from Source Code Using Deep Learning. ASWEC 2018: 21-25 - [c58]Renuka Sindhgatta, Aditya Ghose, Hoa Khanh Dam:
Leveraging Unstructured Data to Analyze Implicit Process Context. BPM (Forum) 2018: 143-158 - [c57]Karthikeyan Ponnalagu, Aditya Ghose, Hoa Khanh Dam:
Leveraging Regression Algorithms for Predicting Process Performance Using Goal Alignments. Business Process Management Workshops 2018: 325-331 - [c56]Hoa Khanh Dam, Truyen Tran, Aditya Ghose:
Explainable software analytics. ICSE (NIER) 2018: 53-56 - [c55]Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Trang Pham, Aditya Ghose:
Predicting components for issue reports using deep learning with information retrieval. ICSE (Companion Volume) 2018: 244-245 - [c54]Daiki Takata, Abdulaziz Alhefdhi, Maipradit Rungroj, Hideaki Hata, Hoa Khanh Dam, Takashi Ishio, Kenichi Matsumoto:
Catalogen: Generating Catalogs of Code Examples Collected from OSS. DySDoc@ICSME 2018: 11-12 - [c53]Karthikeyan Ponnalagu, Aditya Ghose, Hoa Khanh Dam:
Leveraging Regression Algorithms for Process Performance Predictions. ICSOC 2018: 524-531 - [i10]Hoa Khanh Dam, Truyen Tran, Aditya Ghose:
Explainable Software Analytics. CoRR abs/1802.00603 (2018) - [i9]Hoa Khanh Dam, Trang Pham, Shien Wee Ng, Truyen Tran, John Grundy, Aditya Ghose, Taeksu Kim, Chul-Joo Kim:
A deep tree-based model for software defect prediction. CoRR abs/1802.00921 (2018) - [i8]Muhammad Asjad Khan, Hung Le, Kien Do, Truyen Tran, Aditya Ghose, Khanh Hoa Dam, Renuka Sindhgatta:
Memory-Augmented Neural Networks for Predictive Process Analytics. CoRR abs/1802.00938 (2018) - [i7]Hoa Khanh Dam, Truyen Tran, John C. Grundy, Aditya Ghose, Yasutaka Kamei:
Towards effective AI-powered agile project management. CoRR abs/1812.10578 (2018) - 2017
- [j12]Metta Santiputri, Aditya K. Ghose, Hoa Khanh Dam:
Mining task post-conditions: Automating the acquisition of process semantics. Data Knowl. Eng. 109: 112-125 (2017) - [j11]Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Aditya Ghose:
Predicting the delay of issues with due dates in software projects. Empir. Softw. Eng. 22(3): 1223-1263 (2017) - [c52]Shien Wee Ng, Hoa Khanh Dam, Morakot Choetkiertikul, Aditya Ghose:
Predicting Issues for Resolving in the Next Release. ASSRI 2017: 164-177 - [c51]Yingzhi Gou, Aditya K. Ghose, Hoa Khanh Dam:
Leveraging Game-Tree Search for Robust Process Enactment. CAiSE 2017: 461-476 - [c50]Metta Santiputri, Novarun Deb, Muhammad Asjad Khan, Aditya Ghose, Hoa Khanh Dam, Nabendu Chaki:
Mining Goal Refinement Patterns: Distilling Know-How from Data. ER 2017: 69-76 - [c49]Metta Santiputri, Aditya Ghose, Hoa Khanh Dam, Suman Roy:
Goal Orchestrations: Modelling and Mining Flexible Business Processes. ER 2017: 373-387 - [c48]Wisam Haitham Abbood Al-Zubaidi, Hoa Khanh Dam, Aditya Ghose, Xiaodong Li:
Multi-objective search-based approach to estimate issue resolution time. PROMISE 2017: 53-62 - [i6]Hoa Khanh Dam, Truyen Tran, Trang Pham, Shien Wee Ng, John Grundy, Aditya Ghose:
Automatic feature learning for vulnerability prediction. CoRR abs/1708.02368 (2017) - [i5]Trang Pham, Truyen Tran, Khanh Hoa Dam, Svetha Venkatesh:
Graph Classification via Deep Learning with Virtual Nodes. CoRR abs/1708.04357 (2017) - 2016
- [j10]Hoa Khanh Dam, Lam-Son Lê, Aditya Ghose:
Managing changes in the enterprise architecture modelling context. Enterp. Inf. Syst. 10(6): 666-696 (2016) - [j9]Hoa Khanh Dam, Alexander Egyed, Michael Winikoff, Alexander Reder, Roberto E. Lopez-Herrejon:
Consistent merging of model versions. J. Syst. Softw. 112: 137-155 (2016) - [c47]Renuka Sindhgatta, Aditya K. Ghose, Hoa Khanh Dam:
Context-Aware Analysis of Past Process Executions to Aid Resource Allocation Decisions. CAiSE 2016: 575-589 - [c46]Tony Savarimuthu, Hoa Khanh Dam, Sherlock A. Licorish, Smitha Keertipati, Daniel Avery, Aditya K. Ghose:
Process Compliance in Open Source Software Development - a Study of Python enhancement Proposals (PEPS). ECIS 2016: Research Paper 48 - [c45]Renuka Sindhgatta, Aditya K. Ghose, Hoa Khanh Dam:
Context-Aware Recommendation of Task Allocations in Service Systems. ICSOC 2016: 402-416 - [c44]Daniel Avery, Hoa Khanh Dam, Bastin Tony Roy Savarimuthu, Aditya K. Ghose:
Externalization of software behavior by the mining of norms. MSR 2016: 223-234 - [c43]Hoa Khanh Dam, Aditya K. Ghose:
Analyzing Topics and Trends in the PRIMA Literature. PRIMA 2016: 216-229 - [c42]Hoa Khanh Dam, Truyen Tran, John C. Grundy, Aditya K. Ghose:
DeepSoft: a vision for a deep model of software. SIGSOFT FSE 2016: 944-947 - [e3]Alex Norta, Walid Gaaloul, G. R. Gangadharan, Hoa Khanh Dam:
Service-Oriented Computing - ICSOC 2015 Workshops - WESOA, RMSOC, ISC, DISCO, WESE, BSCI, FOR-MOVES, Goa, India, November 16-19, 2015, Revised Selected Papers. Lecture Notes in Computer Science 9586, Springer 2016, ISBN 978-3-662-50538-0 [contents] - [i4]Hoa Khanh Dam, Truyen Tran, John Grundy, Aditya K. Ghose:
DeepSoft: A vision for a deep model of software. CoRR abs/1608.00092 (2016) - [i3]Hoa Khanh Dam, Truyen Tran, Trang Pham:
A deep language model for software code. CoRR abs/1608.02715 (2016) - [i2]Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Trang Pham, Aditya Ghose, Tim Menzies:
A deep learning model for estimating story points. CoRR abs/1609.00489 (2016) - 2015
- [j8]Jantima Polpinij, Aditya K. Ghose, Hoa Khanh Dam:
Mining business rules from business process model repositories. Bus. Process. Manag. J. 21(4): 820-836 (2015) - [j7]Hoa Khanh Dam, Aditya Ghose:
Mining version histories for change impact analysis in business process model repositories. Comput. Ind. 67: 72-85 (2015) - [j6]Hoa Khanh Dam, Aditya Ghose, Mohammad Qasim:
An Agent-Mediated Platform for Business Processes. Int. J. Inf. Technol. Web Eng. 10(2): 43-61 (2015) - [j5]Hoa Khanh Dam, Jeremy V. Pitt, Guido Governatori, Takayuki Ito, Yang Xu:
Introduction to the Special Issue on Principles and Practices in Multi-Agent Systems. Scalable Comput. Pract. Exp. 16(4): iii (2015) - [c41]Morakot Choetkiertikul, Hoa Khanh Dam, Aditya K. Ghose:
Threshold-based prediction of schedule overrun in software projects. ASWEC (2) 2015: 81-85 - [c40]Morakot Choetkiertikul, Daniel Avery, Hoa Khanh Dam, Truyen Tran, Aditya K. Ghose:
Who Will Answer My Question on Stack Overflow? ASWEC 2015: 155-164 - [c39]Karthikeyan Ponnalagu, Aditya K. Ghose, Nanjangud C. Narendra, Hoa Khanh Dam:
Goal-Aligned Categorization of Instance Variants in Knowledge-Intensive Processes. BPM 2015: 350-364 - [c38]Ayu Saraswati, Chee Fon Chang, Aditya K. Ghose, Hoa Khanh Dam:
Learning Relationships Between the Business Layer and the Application Layer in ArchiMate Models. ER 2015: 499-513 - [c37]Metta Santiputri, Aditya K. Ghose, Hoa Khanh Dam, Xiong Wen:
Mining Process Task Post-Conditions. ER 2015: 514-527 - [c36]Hoa Khanh Dam, Bastin Tony Roy Savarimuthu, Daniel Avery, Aditya K. Ghose:
Mining Software Repositories for Social Norms. ICSE (2) 2015: 627-630 - [c35]Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Aditya Ghose:
Predicting Delays in Software Projects Using Networked Classification (T). ASE 2015: 353-364 - [c34]Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Aditya Ghose:
Characterization and Prediction of Issue-Related Risks in Software Projects. MSR 2015: 280-291 - [e2]Alistair Barros, Daniela Grigori, Nanjangud C. Narendra, Hoa Khanh Dam:
Service-Oriented Computing - 13th International Conference, ICSOC 2015, Goa, India, November 16-19, 2015, Proceedings. Lecture Notes in Computer Science 9435, Springer 2015, ISBN 978-3-662-48615-3 [contents] - 2014
- [j4]Hoa Khanh Dam:
Predicting change impact in Web service ecosystems. Int. J. Web Inf. Syst. 10(3): 275-290 (2014) - [c33]Aditya Ghose, Metta Santiputri, Ayu Saraswati, Hoa Khanh Dam:
Data-driven Requirements Modeling: Some Initial Results with i. APCCM 2014: 55-64 - [c32]Morakot Choetkiertikul, Hoa Khanh Dam, Aditya K. Ghose, Thanwadee Sunetnanta:
A CMMI-Based Automated Risk Assessment Framework. APSEC (2) 2014: 63-68 - [c31]Yingzhi Gou, Aditya K. Ghose, Chee Fon Chang, Hoa Khanh Dam, Andrew Miller:
Semantic Monitoring and Compensation in Socio-technical Processes. ER Workshops 2014: 117-126 - [c30]Karthikeyan Ponnalagu, Aditya Ghose, Nanjangud C. Narendra, Hoa Khanh Dam:
Discovering and Categorizing Goal Alignments from Mined Process Variants. ICSOC Workshops 2014: 144-157 - [c29]Aditya K. Ghose, Khanh Hoa Dam:
The Post-Theoretic Enterprise: A Service-Oriented View. SOCA 2014: 175-182 - [c28]Hoa Khanh Dam, Alexander Reder, Alexander Egyed:
Inconsistency Resolution in Merging Versions of Architectural Models. WICSA 2014: 153-162 - [e1]Hoa Khanh Dam, Jeremy V. Pitt, Yang Xu, Guido Governatori, Takayuki Ito:
PRIMA 2014: Principles and Practice of Multi-Agent Systems - 17th International Conference, Gold Coast, QLD, Australia, December 1-5, 2014. Proceedings. Lecture Notes in Computer Science 8861, Springer 2014, ISBN 978-3-319-13190-0 [contents] - [i1]Hoa Khanh Dam, Aditya Ghose:
Towards rational and minimal change propagation in model evolution. CoRR abs/1402.6046 (2014) - 2013
- [j3]Hoa Khanh Dam, Michael Winikoff:
Towards a next-generation AOSE methodology. Sci. Comput. Program. 78(6): 684-694 (2013) - [j2]Hoa Khanh Dam, Aditya Ghose:
Supporting change impact analysis for intelligent agent systems. Sci. Comput. Program. 78(9): 1728-1750 (2013) - [c27]Bastin Tony Roy Savarimuthu, Hoa Khanh Dam:
Towards Mining Norms in Open Source Software Repositories. ADMI 2013: 26-39 - [c26]Hong Linh Truong, Hoa Khanh Dam, Aditya Ghose, Schahram Dustdar:
Augmenting Complex Problem Solving with Hybrid Compute Units. ICSOC Workshops 2013: 95-110 - [c25]Hoa Khanh Dam, Tiancheng Zhang, Aditya Ghose:
Improving the Reactivity of BDI Agent Programs. PRIMA 2013: 85-100 - [c24]Yingzhi Gou, Hoa Khanh Dam, Aditya Ghose:
Towards Semantic Merging of Versions of BDI Agent Systems. PRIMA 2013: 437-444 - [p1]